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I’m purposely posting this on the last day of 2024... Since November 2022, when I first tested ChatGPT 3.5, I’ve been following what’s now called AI News on a daily basis. Clearly, I can say this past year has been the most exciting I’ve experienced in my 15 years working in web and marketing. It’s been a crazy year. Purely and simply crazy. In this post , I’ve curated the 284 AI news stories that, in my view, had the biggest impact on marketing in 2024. Based on these 284 stories, I’m sharing the key trends and shifts from this year that will undoubtedly shape and influence our marketing strategies moving forward. #1 AI Search Revolution Search is changing fast in 2024, with AI reshaping how we find information. OpenAI’s ChatGPT Search is a big move. It’s their first real step into search, beyond just conversational AI. ChatGPT Search offers quick answers, links, and even real-time info through Advanced Voice Mode. It works seamlessly across Apple devices, connecting Siri and Visual Search. OpenAI is clearly building something bigger—a bridge between chat and search. Google isn’t sitting still. Sundar Pichai says Search will “change profoundly” by 2025. They’ve added AI Mode, mixing traditional search with tools like summaries, follow-up questions, and direct answers. It’s still ad-driven, but with smarter placements powered by AI. Then there’s Perplexity. They’re doing something different—combining AI with elements of classic search. They’ve grown fast, partnering with media outlets and launching revenue-sharing programs. Their Pro Shop and Spaces show how search can go beyond finding info to creating a place for learning and transactions. Meta is also stepping in with its AI search engine. It’s using social data to personalize search, breaking away from reliance on Google and Bing. This points to a future where search is more about niches than indexing the whole web. Smaller players like Brave and Arc are pushing conversational search even further. Brave’s AI chat for follow-ups and Arc’s smart browsing tools hint that search may split into specialized tools instead of one-size-fits-all platforms. Kagi, a privacy-first search engine, is also making waves. It focuses on delivering high-quality results without ads, using AI to refine searches and prioritize trusted sources. Kagi has gained traction with users tired of cluttered, ad-filled search experiences. Its subscription model signals a shift toward paid, premium search services designed for transparency and accuracy. Karine’s insight:  Here is the catch that precisely Kagi is aiming to solve. Accuracy is still a problem. ChatGPT’s search struggles with unreliable results, and Google’s AI Overviews have surfaced some questionable suggestions (like using glue on pizza—seriously). As AI takes over search, getting quality and trust right will be critical. For some… But probably not for everyone neither. Before the AI Search’s hype, where was it written that links you clicked on always offered the perfect right answer? Side note: I'm certainly bias, but this one is to me the biggest. This AI Search revolution is transforming the web's entire business model. Your one Absolute read: This post says A LOT about how Google is seing the future of Search and what we should expect, in terms of big picture vision for 2025. Google's Sundar Pichaï talks Search, AI, and dancing with Microsoft . #2 AI Voice & the Audio boom AI voice tech made big moves in 2024, reshaping how we interact, create, and listen. Voice cloning stirred up controversy. PlayAI is cloning voices on command, and LOVO AI faced a class-action lawsuit from actors over voice cloning misuse. Meanwhile, Amazon is letting Audible narrators replicate their voices with AI, and Hume launched Voice Control for fully custom voice creation. Even OpenAI had to clarify it didn’t use Scarlett Johansson’s voice for ChatGPT. AI-powered podcasting took off. ElevenLabs debuted tools to create podcasts from scratch. Spotify teamed up with NotebookLM for personalized podcast summaries, and Google’s AI notebook can turn notes into audio. ElevenLabs also launched Projects, a feature for converting long-form content into engaging audio formats. Voice chat in AI assistants became more sophisticated. OpenAI added ChatGPT voice calls on phone and WhatsApp and expanded voice features to browsers. Amazon’s Alexa is leveling up with Claude AI, and DeepL now offers real-time voice and video translation. These updates are pushing AI closer to seamless human interaction. Audio content creation didn’t lag behind. Fugatto introduced tools to create soundscapes with prompts, while Suno’s new feature lets you blend your sounds with AI-generated music. The audiobook market exploded too—40,000 AI-narrated titles hit Audible in one year. Karine's insights: Looking to 2025, expect three trends: better emotional expression in AI voices, clearer consent rules for voice cloning, and marketplaces for AI-generated audio. As Voice AI grows, balancing innovation with ethics will be key. Your one absolute must-read: This blog post from Jeremiah Owyang. Probably the best read I had about Audio booming - and it was right before the rise, shine and failure of Clubhouse... - Still happening. With AI on top of it: The Future of Social Audio: Startups, Roadmap, Business Models, and a Forecast #3 AI Content Generation Evolution: Multimodal is the New Norm AI content generation has dramatically evolved in 2024 to become multimodal. Multimodal AI creates different types of content at once: text, images, video and audio. meaning these systems can now seamlessly work with multiple forms of media simultaneously, including text, images, video, audio, and interactive elements. Think of multimodal AI as a master artist who can paint, compose music, direct films, and write poetry all at once, understanding how these different forms interact. Major developments show this clearly: OpenAI's Sora turns text into realistic videos. Google’s Veo is doing pretty much the same thing ; ElevenLabs converts articles into natural-sounding podcasts; Suno creates AI music from voice recordings ; Google's VLOGGER makes still photos move, among other examples. Big companies are using multimodal AI in new ways: Meta put AI in Ray-Ban glasses that see, hear, and talk ; YouTube now edits videos automatically with AI ; Adobe creates videos from text prompts ; Noom scans bodies and processes health data at once. Real examples prove it works and it’s doable: Guns N' Roses made a music video using AI ; LinkedIn now creates content in multiple formats ; Spotify turns text into custom playlists. Karine’s insights:  The change is massive but simple: AI now works like human senses. It can see, hear, and create different types of content at the same time. This makes AI content feel more natural and complete. This is also why anyone is now more than ever a power house content creator. ANYONE, literally anyone can create any type of content he/she feels comfortable with. No more excuses to not launch your personal brand. No more excuses to not start a content marketing campaign. No more excuses to not have a content strategy. No matter what is your industry, no matter your level of expertise or what you sell: anyone can create any sort of content to support his marketing strategy. #4 AI Regulation: A Year of Change, A Transformation Ahead 2024 was a big year for AI rules and laws. The European Union created the first major AI law in the world. The US, EU, and UK also signed an agreement to work together on AI safety. Different regions made their own choices - Tennessee protected artists from AI, while California struggled with its AI laws. Big tech companies had to start being more careful. YouTube now requires creators to label AI content. OpenAI began adding watermarks to show when content is AI-generated. Meta was fined €800 million for breaking EU rules. Karine's insights: The message is clear: AI companies can't operate without oversight anymore. In 2025, we'll see these new rules start working in practice. Companies will need to follow stricter rules about showing when they use AI. They'll need to be more transparent about how their AI works. Government agencies are getting ready too - the US Justice Department now has an AI chief. This means 2025 will be about putting all these new rules into action. Companies will need to adapt to different rules in different places. Most importantly, they'll need to prove their AI is safe and honest with users. #5 Major investments and strategic Tech partnerships 2024 revealed unprecedented levels of AI investment and strategic partnerships. Tech giants made massive financial commitments - Amazon poured $4 billion into Anthropic, OpenAI secured a $6.5 billion funding round, and Google announced plans to invest $100 billion in AI development. Beyond money, companies formed strategic alliances that showed where the industry is heading: Essentially Content and Tech. Forget the hype about generative AI replacing content. The truth is, content remains king. With OpenAI signing deals with major publishers like Condé Nast and Financial Times, while Meta partnered with Reuters and TikTok with Getty Images (cf. below #6). Tech integration partnerships also emerged, like Amazon making AWS Anthropic's primary training partner and OpenAI integrating with Apple devices or Google’s$120M fund for AI education. Looking to 2025, we can expect even bigger investments as companies race to secure AI advantages. The focus will likely shift from just building AI to monetizing it through practical applications. Karine’s insights:  We should expect more partnerships between AI companies and traditional businesses in areas like customer service, content creation, and enterprise solutions. The companies that succeed will be those who can turn these big investments and partnerships into real business value. #6 Major Corporate AI Content Partnerships... to sidestep lawsuits and legal battles In 2024, the relationship between AI companies and publishers changed—from fighting to working together. But it wasn’t smooth. And it wasn’t clean. Early in the year, things were messy. The New York Times called out Perplexity for using its content without permission. Other AI companies ignored web standards and scraped publisher sites anyway. Then came the backlash. YouTubers hit OpenAI with a class-action lawsuit for scraping their video transcripts. Perplexity fired back, calling the media ‘adversarial’ to AI progress. But by mid-year, the story shifted. OpenAI started striking deals with publishers like Tom's Guide and Hearst, pulling lifestyle and news content into its ecosystem. Google followed with a $6 million deal with News Corp, and Meta signed a multi-year partnership with Reuters. Perplexity changed its tune too, launching a revenue-sharing program with 15 major media outlets. Even the Financial Times got in on it, integrating its content with ChatGPT. Notice what’s happening here? What started as lawsuits turned into revenue-sharing. Legal fights became business deals. AI companies like OpenAI and Perplexity went from dodging lawsuits to shaking hands with publishers. The shift isn’t just collaboration—it’s strategy. But let’s not sugarcoat it. Behind the headlines lies a much bigger story. A controversial one. We’re talking about the biggest theft in web history. OpenAI, Google, Meta—they’re making deals with a few big publishers while quietly scraping massive amounts of web content. Facebook admitted to scraping every Australian user’s public photos and posts—no opt-out. TikTok’s owner scrapes the web 25 times faster than OpenAI. Nvidia’s leaked documents show it’s collecting a ‘human lifetime’ of video content daily. OpenAI confessed to transcribing over a million hours of YouTube videos for GPT-4—even though YouTube’s CEO said it’s against their terms. These deals with big publishers? They’re just the surface. While major media outlets get paid, billions of smaller creators and websites have their content taken without a dime of compensation. This isn’t collaboration. It’s power. Big tech writes the checks to silence the big players and continues to exploit the rest. Karine’s take:  The web was built on open sharing. That’s being replaced—not through innovation but through an unprecedented data grab. These partnerships aren’t business as usual. They’re hush money. Deals that normalize the systematic use of everyone else’s content without asking. This isn’t progress. It’s appropriation at scale. Side note: We should marketer do about this? Deal with it. We have to pick our battle, and we obviously won't win this one. While creating your content strategy and your content, keep in mind that it will be stolen, one way or another. So create content so unique and personalized that LLMs will always attribute it back to you as the original author. #7 Key AI Model Advancements 2024 was the year of fierce competition and rapid leaps in AI capabilities. The game changed with the launch of models like Claude 3.5 Sonnet, GPT-4o, and Meta's Llama 3. Each one pushed AI performance to new levels. A key moment? Claude 3 beating GPT-4 in benchmark tests for the first time. That shook up the competitive landscape. Cost efficiency became a major focus. OpenAI’s GPT-4o mini proved you can deliver powerful AI without sky-high costs. Open-source models also gained traction. Players like Alibaba and OpenScholar started challenging the big proprietary systems. Looking ahead to 2025, the competition will only heat up. Expect to see specialized models that prioritize efficiency and cost-effectiveness. Why? The industry is facing $600 billion in yearly hardware costs. That kind of pressure forces innovation in smarter architectures. Karine’s Take:  2025 won’t be about chasing raw power. It’ll be about creating models that are sharper, leaner, and capable of doing more with less. Side note : I know what you're thinking. And the answer is YES! We, as marketer, will still be needed in person. More than ever. #8 AI Integrated in Enterprises Solutions 2024 was the year enterprise AI stopped being experimental and became essential. Big platforms launched tools to make businesses smarter. AI Agents led the way. Google’s Agentspace and Salesforce’s AgentForce introduced AI agents for complex tasks. OpenAI announced its 'Operator' tool to handle routine workflows. HubSpot didn’t hold back either, betting big on AI with its new agent, Breeze. Workplace tools got a major AI boost. Google Docs added Gemini’s capabilities. Google Meet started taking automated notes. Airtable launched an AI platform that promises to redefine work. Customer service was a clear winner. T-Mobile teamed up with OpenAI. Amazon rolled out Project Amelia, an AI assistant for sellers. Best Buy used AI to track deliveries more efficiently. As we move into 2025, enterprise AI is set to explode. The shift will be from basic tools to integrated systems that manage entire business processes. AI won’t just support workflows—it’ll run them. Karine’s Take:  With H AI raising $220M for automation and HubSpot pushing its 'complete AI solution,' we’ll see more platforms combining workflow automation, document handling, and customer service into single systems. In 2025, AI won’t just be a tool. It’ll become the backbone of business operations. #9 AI Content Monetization The AI content monetization game changed completely in 2024. Free-access models gave way to more diverse revenue streams. Big moves came from OpenAI and Perplexity. They signed high-profile deals with traditional media, setting up revenue-sharing programs and content licensing agreements worth up to $5 million a year. Marketplaces like the GPT Store and Perplexity's Pro Shop showed that user-generated AI content could be monetized effectively. AI platforms also started integrating ads and offering premium subscriptions. ChatGPT Pro, priced at $200/month, proved people are willing to pay for advanced features. While most platforms leaned into ad-supported models, Kagi introduced a fresh approach. Their AI-powered search engine offers a clean, ad-free experience, supported by a paid membership model. This challenges the typical ad-driven monetization strategies and signals a growing demand for privacy-first, subscription-based services. As we head into 2025, this shift will pick up speed. Expect three big trends: More partnerships between AI platforms and content creators. Smarter ad integrations that blend seamlessly into AI interfaces. New, specialized marketplaces for AI-generated content. Karine’s Take:  This shows how the ecosystem is evolving. It’s no longer just about making content—it’s about finding sustainable ways for creators, publishers, and AI platforms to share the profits while tackling copyright and fair compensation issues. #10 The Rise and Surge of AI Agents 2024 was the year AI agents took center stage. Big tech companies were in a race to create autonomous AI assistants that could handle complex tasks on their own. Enterprise-focused AI agents led the way. Google launched Agentspace to give businesses better tools for expertise and data access. Salesforce rolled out AgentForce, designed to run entire business operations. Amazon debuted Project Amelia, an AI assistant to help sellers manage their businesses. OpenAI announced Operator, a tool to automate repetitive tasks, while Coinbase introduced "Based Agent," focused on creating AI tools for crypto. Startups like H joined the competition too, raising $220 million to launch Runner H for agent-driven applications. In e-commerce, AI agents started doing more than just helping—they were running things. Amazon’s shopping assistant became available to all U.S. users, managing transactions and seller operations. MultiOn entered the scene with a new AI agent called Agent Q, adding more variety to the mix. Even with all this progress, not everything went smoothly. Google announced that its next-generation AI agents wouldn’t be ready until 2025 or later. This delay highlighted just how complex it is to develop AI agents that can truly perform at the next level. Looking at 2025, here’s what to watch for: Consumer-facing AI agents that can handle daily tasks with ease. AI agents becoming deeply integrated into business workflows, especially in areas like marketing. The growth of the Multi Agent Network—yes, the one is the same as Dharmesh Shah (not bragging, just saying). Karine’s Take:  In 2024, AI agents were still being tested out. By 2025, they’ll be real tools we rely on daily. They won’t just assist; they’ll feel like part of the team, changing how businesses run and how we, as marketers, connect with customers. For consumers, this means interacting with products and services will feel more seamless than ever, thanks to these smart, invisible teammates. #11 AI In Consumer Products 2024 was the year AI in consumer products went from cool to completely integrated into daily life, especially in how we communicate. AI-powered communication tools became part of the norm. OpenAI expanded into phone calls and WhatsApp. Character.AI let users have actual voice conversations with AI avatars. DeepL brought real-time voice and video translation to the table, pushing the limits of how we interact with AI and breaking language barriers in real-time. Voice cloning and customization also became hot topics. Companies like Hume showed off impressive innovations, but it was clear they had to tread carefully to avoid crossing ethical lines. AI-powered hardware also stepped up. Samsung, Google, and Meta rolled out wearables and mixed-reality devices with built-in AI. Apple and Amazon integrated advanced AI assistants into their ecosystems, with Amazon’s new Alexa now powered by Claude AI. Looking at 2025, three big trends are coming: Smarter voice interactions that feel more emotionally intuitive. Seamless AI integration across every device and platform you use. AI features so personalized, they’ll adapt to your habits and preferences without you even noticing. Karine's take: Here’s the reality - AI is going to become an even more personal part of our daily lives. It’ll feel natural—like it’s always been there. But with that intimacy comes big questions about privacy and how voice technology should be used ethically. We’ll all need to stay sharp as the lines between convenience and overreach blur. That's it for my 11 trends to watch and to integrate in your marketing plans for 2025. Please, share yours. What is the biggest trend you see as a must-have in 2025? 🥳 Happy, sweet new year everyone!!!

To say that 2024 was THE year of AI is an understatement. 2024 was a year of explosive growth and excitement in the field of AI, revolutionizing marketing as never before. At Women Love AI Marketing, we carefully curate the latest AI news, selecting the developments we believe are having the greatest impact on the marketing landscape (and on our daily jobs). While AI Marketing isn't yet a formal discipline, it's rapidly evolving alongside an unprecedented wave of innovation in AI. We've compiled a list of the most 284 impactful AI news from 2024. And since we figured this massive list could be a little bit ugh to digest 😑 ... to help you focus on the most critical trends, we've also identified 10 key takeaways from 2024 that will shape your marketing strategy in 2025. You can check this out here. We would LOVE to know which of these developments had the biggest impact on your marketing efforts this past year. Share in the comments. ✨ Happy new year!! ✨ !! AI Marketing News in December 2024 Google Search will reportedly have a dedicated ‘AI Mode’ soon Perplexity acquires Carbon to connect AI search to your work files  OpenAI Launches ChatGPT on Phone Calls and WhatsApp Runway Launches Talent Network: AI-Focused Platform for Creative Hiring in Media Industry  Google DeepMind launches FACTS Grounding benchmark for AI fact-checking OpenAI rolls out ChatGPT Search for all users as well real-time information in Advanced Voice Mode Google launches Veo 2 and Imagen 3 Google Launches Agentspace: AI Agents for Enterprise Expertise and Data Access Perplexity Adds Custom Web Sources to Spaces, Enhancing User-Specific Search Options AI Safety Breakthrough: Researchers Discover Universal Method to Bypass Model Safeguards Time launches AI chatbot to answer questions about Person of the Year  Time brings conversational AI to journalism Meta FAIR Releases New Research on AI Agents, Safety, and Machine Learning Architectures Meta releases open-source watermarking tool for AI-generated videos Samsung and Google Unveil Mixed Reality Headset Similar to Apple's Vision Pro Midjourney to Launch 'Patchwork': Collaborative AI Worldbuilding Tool Google launches Gemini 2: Try Gemini's New Deep Research Assistant and Experimental Chat Model OpenAI Announces ChatGPT Integration Across Apple Devices, Including Siri and Visual Search Yelp introduces AI-powered features for improved local business discovery Character.AI  sued over chatbots allegedly encouraging self-harm to teens Reddit introduces AI-powered 'Reddit Answers' search feature Amazon launches AI agent-focused lab in San Francisco OpenAI launches Sora: AI video generation model for text, image, and video inputs Hubspot acquires Frame AI to enhance conversational intelligence ElevenLabs Launches AI-Powered Podcast Creation Tool Amazon and Anthropic join forces to build advanced AI supercomputer OpenAI launches ChatGPT Pro for $200 per month Sundar Pichaï: Google Search to “change profoundly” in 2025, takes jab at microsoft OpenAI strikes content deal with Tom’s Guide owner future Genie 2: a large-scale foundation world model Perplexity adds 15 major media partners to revenue-sharing program Spotify and NotebookLM partner for personalized AI Wrapped podcasts Writers condemn startup’s plans to publish 8,000 books next year using AI The race is on to make AI agents do your online shopping for you Google’s new generative AI video model is now available OpenAI explores advertising as it steps up revenue drive Spotify Wrapped 2024 adds an AI podcast powered by Google’s NotebookLM OpenAI hires first marketing chief from Coinbase ChatGPT's search results for news are 'unpredictable' and frequently inaccurate Hume launches Voice Control for custom AI voice creation to be read with this other post => Introducing Voice Control: AI Tool for Precise Voice Customization Without Cloning Risks  The Browser Company is building Dia, an AI-powered web browser with an intelligent cursor AI Marketing News in November 2024 These AI Minecraft characters did weirdly human stuff all on their own Anthropic proposes a new way to connect data to AI chatbots PlayAI clones voices on command Musk seeks injunction to block OpenAI's for-profit transition DeepMind’s Genie 2 can generate interactive worlds that look like video games Amazon Develops Video AI Model to Reduce Dependence on External AI Partners  Alibaba releases open-source AI model to rival OpenAI's reasoning capabilities No, Microsoft isn't using your Office docs to train its AI AI-Powered Sound Machine Fugatto Transforms Music and Audio with Prompts Anthropic raises another $4B from Amazon, makes AWS its ‘primary’ training partner Amazon to Invest Additional $4 Billion in AI Startup Anthropic Threads Tests AI Summaries for Trending Topics, Following X's Lead The future according to Google DeepMind CEO Demis Hassabis Apple reportedly prepping powerful new AI version of Siri for 2026 Otter.ai ’s Sam Liang: We can unlock valuable data from meetings and conversations Google Cloud launches AI Agent Space with limited offerings compared to rivals  Meta fined nearly €800mn for breaking EU law over classified ads practices EU AI Act: Draft guidance for general purpose AIs shows first steps for Big AI to comply   OpenAI Considers Taking on Google With Browser Brave Search Introduces AI Chat for Follow-Up Questions OpenAI and Common Sense Media offer free AI course for educators H, the AI startup that raised $220M, launches its first product: Runner H for ‘agentic’ applications Google Docs Content Now Easily Integrated into Claude AI Chats and Projects OpenScholar: The open-source A.I. that’s outperforming GPT-4o in scientific research Meta Hires Salesforce AI CEO to Lead New Business AI Group Google is further cracking down on sites publishing ‘parasite SEO’ content Trump Team Mulls Creating First-Ever White House Crypto Role OpenAI expands ChatGPT's voice chat feature to web browsers Microsoft AI-Learning Deal with New Corps.'s HarperCollins Perplexity's AI search engine can now buy products for you Mistral Launches Free AI Tools for Search, Vision, Ideation, and Coding Meta AI Expands to Ray-Ban Smart Glasses in More European Countries Coca-Cola's AI-Generated Christmas Ad Sparks Controversy and this one too Coca-Cola causes controversy with AI-made ad Chinese tech groups build AI teams in Silicon Valley Valuations at Elon Musk’s SpaceX and xAI set to soar in new deals Meta fined nearly €800mn for breaking EU law over classified ads practices CFPB looks to place Google under federal supervision, setting up clash EU AI Act: Draft guidance for general purpose AIs shows first steps for Big AI to comply Use Gemini in Google Docs to create unique images for your documents  Casey Affleck Tests Meta's New AI Tool for Filmmakers TikTok partners with Getty Images for AI-generated ads and avatars Anthropic Adds AI-Powered Prompt Improver to Console for Enhanced Prompts OpenAI to Launch 'Operator' AI Agent Tool in January for Task Automation DeepL introduces real-time voice and video translation with DeepL Voice Perplexity to Introduce Ads on Its AI-Powered Search Platform AI Tools Now Allow Editing of Adobe Stock Photos Before Licensing Apple AI Notification Summaries: Rarely Useful, Often Hilarious Convert Long-Form Content to Audio with ElevenLabs Projects Google's AI 'learning companion' aims to stimulate curiosity Lex Fridman's 5-Hour Talk with Anthropic CEO Dario Amodei on AI, Claude, and Safety Washington Post launches free AI chatbot for news queries The push for Elon Musk to lead American AI policy is already starting The Beatles' final song, restored using AI, is up for a Grammy Amazon Considers Multibillion-Dollar Investment in AI Startup Anthropic Trump's Victory: Implications for AI Regulation in the US  and this one AI News: What Does Trump Mean For AI? Instagram to Use AI to Detect Underage Users and Enforce Privacy Settings Perplexity Launches Election Information Hub for Informed Voting Perplexity Launches 'Pro Shop' for In-Platform Shopping AI Marketing News in October 2024 Agents are the future AI companies promise — and desperately need ChatGPT Search: Fast Answers with Relevant Web Links Google delays launch of next-gen AI agents to 2025 or later More than a quarter of new code at Google is generated by AI App Store will soon show summary of app reviews made by users LinkedIn Introduces AI Agent to Assist with Job Recruitment Meta Developing AI-Powered Search Engine to Reduce Reliance on Google and Bing AI Search Overviews Expand Globally, Reaching Over 1 Billion Monthly Users Meta releases open-source version of Google's podcast generator Coinbase Launches "Based Agent" for Quick AI Creation in Crypto Meta strikes multi-year AI deal with Reuters Redditors Spread Misinformation to Combat AI Scrapers Perplexity pushes back on lawsuit, criticizes media as 'adversarial' Perplexity releases native Mac app to compete with other AI search tools Goodreads co-founder launches Smashing, an AI-powered app for online readers  AI chatbot firm   Character.ai  enhances safety after teen user's suicide New AI music tools now available in MusicFX DJ, Music AI Sandbox and YouTube Shorts  OpenAI Extends Advanced Voice Access to Plus Users in EU and Selected European Countries  Unlocking Autonomous Agent Capabilities with Microsoft Copilot Studio Apple's AI Technology Reportedly Two Years Behind Competitors Midjourney to release AI image editing tools for public use on the web Meta FAIR Releases New AI Research, Models, and Datasets Blumhouse and Meta Partner to Test AI-Generated Short Films Noom launches AI body scan feature to track muscle mass during weight loss NotebookLM adds team collaboration pilot and customizable Audio Overviews The New York Times warns AI search engine Perplexity to stop using its content Taboola Launches Abby: AI Assistant for Advertisers to Manage Campaigns Reddit introduces AI-powered keyword targeting features Google's 7 Latest AI Updates from September Adobe Proposes Method to Protect Artists from AI-Generated Imitations Geoff Hinton and John Hopfield win Nobel Prize in Physics for foundational AI work OpenAI Partners with Hearst to Bring Lifestyle and Local News Content to Its Products  Adobe to launch web app for certifying artwork authenticity in 2025 TikTok's owner is scraping the web 25 times faster than OpenAI The Browser Company launches Arc Search on Android Introducing New Facebook Features: Local Tab, Messenger Communities, and AI Integrations  Video editing app Captions launches AI-powered social media manager for websites Google Expands AI's Role in Search with Ads and Redesigned Overviews Canvas: A New Way to Write and Code with ChatGPT Ask questions in new ways with AI in Search OpenAI confirms AI agents are coming next year — what it means for you Judge blocks California's new AI law in case over Kamala Harris deepfake Famous AI Artist Demands Copyright Protections for Midjourney-Generated Work OpenAI's DevDay introduces Realtime API and new features for AI app developers OpenAI DevDay 2024 live blog OpenAI Just Announced 4 New AI Features and They're Available Now AI Marketing News in September 2024 California governor vetoes major AI safety bill OpenAI's $6.5B funding round may close as soon as next week Apple not investing in OpenAI after all, new report says OpenAI as we knew it is dead ( vox.com ) Airtable just launched an AI platform that could change how you work NotebookLM adds audio and YouTube support, plus easier sharing of Audio Overviews OpenAI's chief research officer has left following CTO Mira Murati's exit James Cameron, Academy Award-Winning Filmmaker, Joins Stability AI Board of Directors World's First Museum of AI Arts 'Dataland' to Open in Los Angeles Google CEO Sundar Pichai announces $120M fund for global AI education An AI can beat CAPTCHA tests 100 per cent of the time Apple Intelligence is now live in public beta. Here’s what it offers and how to enable it. Amazon debuts Project Amelia, an AI assistant for sellers Amazon releases a video generator -- but only for ads LinkedIn is training AI models on your data T-Mobile partners with OpenAI for customer service revamp powered by AI HubSpot unveils Breeze, its 'complete AI solution' Empowering YouTube creators with generative AI  to be read with this one  Made on YouTube 2024: Announcements for YouTube creators and viewers Facebook admits to scraping every Australian adult user's public photos and posts to train AI, with no opt-out option Salesforce's AgentForce: The AI assistants that want to run your entire business Facebook and Instagram are making AI labels less prominent on edited content OpenAI Introduces it's Latest State of the Art Model, OpenAI o1 Google's AI notebook can generate a podcast about your notes Google's NotebookLM can discuss your notes with you now. How to access it (and why you should) The NFL and AWS expand their partnership to tackle more AI use cases Adobe previews its upcoming text-to-video generative AI tools Bumble to leverage AI to help users with profile creation and conversations ESPN’s AI-generated sports recaps are already missing the point Amazon is allowing Audible narrators to clone themselves with AI US, EU, UK, and others sign legally enforceable AI treaty People are generating entire short films using new AI app Few have tried OpenAI’s SearchGPT. Here’s what they think Google launches new AI tools for the social impact sector Anthropic announces Claude for Enterprise AI Marketing News in August 2024 Competing in search Coinbase sees first crypto transaction between AI agents Amazon’s new Alexa voice assistant will use Claude AI 200 million people use ChatGPT every week - up from 100 million last fall, says OpenAI Wyze’s AI can now search your camera footage so you don’t have to OpenAI and Anthropic will share their models with the US government Apple Is in Talks to Invest in OpenAI With 10x growth since 2023, Llama is the leading engine of AI innovation Cerebras Launches the World’s Fastest AI Inference Anthropic publishes the 'system prompts' that make Claude OpenAI supports California AI bill requiring 'watermarking' of synthetic content Meta pulls plug on plans for high-end Vision Pro competitor Inside the Deck Perplexity Is Using to Pitch Advertisers Perplexity AI plans to start running search ads in fourth quarter Best Buy Introduces AI-Powered Delivery Tracking OpenAI partners with Condé Nast Authors sue Anthropic for training AI using pirated books Geekbench releases AI benchmarking app Google's AI Overviews get three useful updates. Here's what's new MultiOn announces a new AI Agent called Agent Q Everything announced at Made by Google 2024 Universal Music and Meta Announce Expanded Agreement on AI Unleashing Creativity: Rendora's Text-to-3D Video Platform Shines at SIGGRAPH 2024 ChatGPT now lets free users generate up to two images per day made by DALL-E 3 ChatGPT unexpectedly began speaking in a user’s cloned voice during testing Good news — your Google Meet call will soon be able to take notes for you OpenAI Warns Users Could Become Emotionally Hooked on Its Voice Mode OpenAI says its latest GPT-4o model is ‘medium’ risk Audible is testing an AI-powered search feature Automattic launches AI writing tool that aims to make WordPress blogs more readable and succinct Google Unveils New Gemini-AI Powered TV Streamer Fei-Fei Li, "The Godmother of AI," shares her concerns around Senate Bill 1047 Reddit to test AI-powered search result pages Amazon upgrades its AI image generator Amazon Music's new AI-powered tool helps you find and browse podcasts YouTuber files class action suit over OpenAI's scrape of creators' transcripts Elon Musk is suing OpenAI and Sam Altman again Leaked Documents Show Nvidia Scraping ‘A Human Lifetime’ of Videos Per Day to Train AI OpenAI says it’s taking a ‘deliberate approach’ to releasing tools that can detect writing from ChatGPT Google pulls Gemini AI ad from Olympics after backlash Character.AI  CEO Noam Shazeer returns to Google AI Marketing News in July 2024 Google's 'About This Image' Feature Will Tell You How Reliable a Photo Is OpenAI pledges to give U.S. AI Safety Institute early access to its next model People are mad at Google’s new AI ad Microsoft says OpenAI is now a competitor in AI and search Introducing the Perplexity Publishers’ Program Here’s Where AI Will Play a Role At the Paris Olympics - Could It Change the Future of Sport? SearchGPT is a prototype of new AI search features Reddit is now blocking major search engines and AI bots - except the ones that pay GPT-4o mini: advancing cost-efficient intelligence Apple trained AI models on YouTube content without consent Amazon’s AI shopping assistant rolls out to all users in the US AI industry needs to earn $600 billion per year to pay for massive hardware spend Perplexity Pro Search: Upgraded for more advanced problem-solving AI Marketing News in June 2024 Meta starts testing user-created AI chatbots on Instagram Character.AI  now allows users to talk with AI avatars over calls YouTube is trying to make AI music deals with major record labels TIME and OpenAI Announce Strategic Content Partnership TIME and ElevenLabs partner to accelerate the creation of audio accessible content Amazon is reportedly working on a new AI chatbot Captions releases AI edit feature that automatically adds effects to your video The owner of Toys ‘R’ Us just used OpenAI’s Sora to animate the zombie brand Multiple AI companies bypassing web standard to scrape publisher sites, licensing firm says Apple Won’t Roll Out AI Tech In EU Market Over Regulatory Concerns Leonardo AI Launches a New Model—Can It Dethrone Ideogram as Best Image Generator? Introducing Claude 3.5 Sonnet Apple Intelligence Will Label AI-Generated Images in Metadata Releasing New AI Research Models to Accelerate Innovation at Scale Meet Symphony Avatars: TikTok's New Creative AI Tool Google DeepMind Shifts From Research Lab to AI Product Factory Perplexity now displays results for temperature, currency conversion and simple math Google DeepMind Unveils News Research - Generating audio for video Sam Altman says OpenAI could become a for-profit meaning it could eventually IPO McDonald's is ending its drive-thru AI test Spotify announces an in-house creative agency, tests generative AI voiceover ads Apple paying OpenAI with exposure, not money Photographer Disqualified From AI Image Contest After Winning With Real Photo Luma AI debuts 'Dream Machine' for realistic video generation, heating up AI media race Suno releases new "Audio Input" feature to add your own sounds to AI-generated music Google still recommends glue for your pizza A complete breakdown of all of Apple's AI announcements at WWDC Adobe’s new terms of service say it won’t train AI on customers’ work OpenAI and Apple announce partnership Introducing Apple Intelligence for iPhone, iPad, and Mac OpenAI Sora’s biggest rival is here: Chinese AI model Kling creates videos with more accuracy AI Startup Perplexity Says News Summary Tool Has ‘Rough Edges’ Adobe terms clarified: Will never own your work, or use it to train AI AI apocalypse? ChatGPT, Claude and Perplexity all went down at the same time Zoom CEO Eric Yuan wants AI clones in meetings Meta is using your posts to train AI. It's not easy to opt out. Will Siri Become More Like ChatGPT? All Eyes on Apple's WWDC AI Marketing News in May 2024 AI generated sound effects are here AI Search Company   You.com  Launches Custom AI Assistants What happened with AI Overviews and next steps Perplexity AI's new feature will turn your searches into shareable pages Custom GPTs open for free ChatGPT users Google's AI Feature Suggested Using Glue to Keep Cheese on a Pizza OpenAI didn’t copy Scarlett Johansson’s voice for ChatGPT, records show Apple teaming with OpenAI on chatbot to be announced at WWDC LOVO AI lawsuit: Actors Hit AI Voice Cloning Company With Class Action Has ChatGPT launched its Search product in stealth? Scarlett Johansson says that OpenAI approached her to use her voice How the voices for ChatGPT were chosen Sony Music Group warns more than 700 companies against using its content to train AI ChatGPT lets users upload from Google Drive and OneDrive directly Google and OpenAI show we're entering a new phase of the AI era Everyone in Hollywood Is Using AI, but "They Are Scared to Admit It" Google I/O 2024: 100 things Google announced Ilya Sutskever, OpenAI co-founder and longtime chief scientist, departs Google I/O 2024: Sundar Pichai on Gemini, AI progress and more Google I/O 2024: New generative AI experiences in Search Google showcases a potential answer to GPT-4o ahead of I/O OpenAI’s custom GPT Store is now open to all for free Hello GPT-4o OpenAI Spring Update (Live Stream) At the AI Film Festival, humanity triumphed over tech Anthropic Releases New Prompt Optimization Tool Google I/O 2024: What to expect Sam Altman Says AI's Economic Impact Is a Top Concern OpenAI strikes licensing deal with the magazine giant behind People OpenAI Creating "Media Manager" so that content owners can manage how their works are used in AI 40,000 AI-narrated audiobooks flood Audible, dividing authors and listeners YouTube Premium members can now test AI 'Jump ahead' More details emerge about Apple’s plans for AI in iOS 18 OpenAI appears to be planning on getting into the search engine game You can now generate even longer songs with Udio First music video generated by OpenAI's Sora is here First music video generated by OpenAI's Sora is here Microsoft’s OpenAI investment was triggered by Google fears, emails reveal You can now generate MidJourney images directly on their website AI Marketing News in April 2024 Google to pay up to $6 mln to News Corp for new AI content, The Information reports We’re bringing the Financial Times’ world-class journalism to ChatGPT New research on generative AI and the economy TED Uses Sora to Imagine TED in 40-years Meet Your New Assistant: Meta AI, Built With Llama 3 Google will pump more than $100B into AI says DeepMind boss Adobe explores OpenAI partnership as it adds AI video tools Meta is testing an AI-powered search bar in Instagram Meet Your New Chief AI Officer: Introducing The Next Wave from the HubSpot Media Network OpenAI Releases "Majorly Improved" GPT-4 Turbo Model New bill would force AI companies to reveal use of copyrighted art Google Cloud Next 2024: Gemini and generative AI updates Gemini for Google Cloud is here OpenAI transcribed over a million hours of YouTube videos to train GPT-4 Spotify Premium Users Can Now Turn Any Idea Into a Personalized Playlist With AI Playlist in Beta Our Approach to Labeling AI-Generated Content and Manipulated Media YouTube CEO: Using Platform’s Videos to Train AI Violates Terms of Service AI Marketing News in March 2024 OpenAI Launches Pilot Program for GPT Monetization Amazon spends $2.7B on startup Anthropic in largest venture investment “The king is dead”—Claude 3 surpasses GPT-4 on Chatbot Arena for the first time Google's new AI search results promotes sites pushing malware, scams OpenAI wants Hollywood to use Sora Tennessee becomes the first state to protect artists against AI Hey YouTube creators, it’s time to start labeling AI-generated content in your videos Google researchers unveil 'VLOGGER', an AI that can bring still photos to life ‘We Created a Processor for the Generative AI Era,’ NVIDIA CEO Says Open Release of Grok-1 Apple is reportedly exploring a partnership with Google for Gemini-powered feature on iPhones  World’s first major act to regulate AI passed by European lawmakers OpenAI's GPT-4.5 Turbo leaked on search engines and could launch in June Midjourney bans rival AI firm for scraping images Apple hinted at big AI plans. Here's what AppleGPT might entail Inflection-2.5: meet the world's best personal AI Researchers tested leading AI models for copyright infringement using popular books, and GPT-4 performed worst Salesforce aims to blaze new generative AI trail for developers with Einstein 1 Studio OpenAI and Elon Musk Perplexity Poised To Become Latest AI Startup To Hit Unicorn Status Competition in AI video generation heats up as DeepMind alums unveil Haiper Elon Musk sues OpenAI and Sam Altman over ‘betrayal’ of nonprofit AI mission AI Marketing News in February 2024 Google brings Stack Overflow’s knowledge base to Gemini for Google Cloud Tim Cook says Apple will ‘break new ground’ in GenAI this year Google hopeful of fix for Gemini’s historical-image diversity issue within weeks Suno Text-To-Song Generator Announces Version 3 Alpha The Justice Department gets a chief AI officer Google Gemini's AI Image Generator Accused of Being 'Anti-White' Google expands partnership with Reddit The Disney Accelerator Program Invests Heavily in AI Companies  Match Group inks deal with OpenAI, says press release written by ChatGPT AI Isn't Driving Tech Layoffs — and It's Time to Change the Narrative Introducing OpusClip 3.0. The smartest AI video clipping tool just got smarter. Reddit reportedly signed a multi-million dollar licensing deal to train AI models Judge Dismisses Nearly All Of Sarah Silverman And Other Authors’ Lawsuits Against OpenAI Google Uses AI To Detect Fake Online Reviews Faster 3 big AI trends to watch in 2024 Perplexity partners with Vercel, opening AI search to developer apps Disney Tests AI Tool Matching Commercials to Appropriate Content How to keep your art out of AI generators Letter from the YouTube CEO: 4 Big bets for 2024 (Spoiler: AI is high on the list) IKEA launches new AI-powered assistant in OpenAI GPT Store OpenAI is adding new watermarks to DALL-E 3 IKEA launches new AI-powered assistant in OpenAI GPT Store OpenAI is adding new watermarks to DALL-E 3 Microsoft Forms AI Partnership With News Startup Semafor Google may soon rebrand its AI chatbot Bard as Gemini Hugging Face launches open source AI assistant maker to rival OpenAI's custom GPTs Amazon debuts ‘Rufus,’ an AI shopping assistant in its mobile app AI Marketing News in January 2024 How Guns N' Roses Used AI to Create Wild New Music Video 'The General' The Pixel 8 is getting Google’s new AI search feature today The power of Google AI comes to the new Samsung Galaxy S24 series ChatGPT users can now invoke GPTs directly in chats Yelp will use AI to tell you if that burger’s any good Shopify’s ‘Magic’ AI image editor can make any product pics look professional Meta’s new goal is to build artificial general intelligence Arc Search: a new iPhone app combining browser, search, and AI Mark Zuckerberg Confirms Meta is Currently Training Llama 3 Introducing the GPT Store OpenAI’s news publisher deals reportedly top out at $5 million a year ChatGPT's "GPT Store" To Launch Next Week Hasbro Launches AI-Powered Version Of Trivial Pursuit Game Google appears to be working on an ‘advanced’ version of Bard that you have to pay for 2023 Supreme Court Year-End Report (Including How AI Should Be Handled)

We are proud to present our list of 101 women with remarkable achievements in AI. This list results from several months of curation, research, reading, and analysis of nearly 500 profiles of women working at the intersection of AI and Marketing. ​ Its goal? To provide anyone eager to understand and experience the emerging discipline of AI Marketing with direct, dense, and precise access to a selection of women with exceptional skills and accomplishments in this field. This list was designed primarily as a resource for AI Marketing, not as another Sunday Times Rich List, and certainly not as a ranking. We used several tools to refine this list (see the methodology section with the technologies listed below). However, we created this list naturally with 100% manual human effort and daily curation. The human curation began with a small group of friends, all marketing professionals, who, at the time of the release of ChatGPT in November 2022, realized that their profession would never be the same. They wanted to train themselves—as is often the case when faced with disruptions of such magnitude—by following other women they could identify with, reading their content, analyzing their discoveries, and drawing inspiration from their achievements. Essentially, the group set out to learn and understand by following and learning from their peers. That's how this community was born. It is also what motivated the creation of this content. We hope you’ll find it useful. ​ Why Create a List (Exclusively) of Women in AI Marketing? ​ This exclusively female list is not driven by militant or activist feminism. However, our goal in creating it is to shed light on the ongoing transformation from a less male-dominated perspective and to address an imbalance in a field where men often hold a predominant position that is not always legitimate or justified. Thousands of remarkable women do incredible work in AI, yet they are often overlooked. We want to shine a spotlight on them. Additionally, this list aims to counter the sometimes shocking biases of these large language models (LLMs), which are trained on data that, unfortunately, too often includes exclusively older white males of a certain profile. This is not acceptable, and we believe it is possible to address this issue. That’s why we used ChatGPT to test and validate our research and created, alongside this list, a freely accessible GPT linked to these 101 women in AI Marketing. ​ Why Women in AI Marketing? ​ AI Marketing is a new discipline... and it's here to stay. In a few years (months?), marketing will simply be AI—or it won't exist anymore. However, the shadow cast over women in AI Marketing is even darker than that over women in Deep Tech. Yet, right now, exceptional women are reinventing their profession as marketers through the lens of AI every day. They take risks in their jobs (we know how difficult it is to be the one proposing innovation to their teams) to test and integrate AI among their team's tools stack. Thanks to AI, they adapt offerings, improve productivity and creativity, and bring real innovation to their companies... but sometimes at the cost of revenue drops or even job loss! These women are true "centurions" (is it just another coincidence that this word has no feminine form?). Through their resilience, risk-taking, and vision, they all contribute to redefining the boundaries of the marketing discipline as it has functioned for the past 25 years. Every day, they work behind the scenes, rarely with anyone applauding, to foster the emergence of a new marketing era: AI Marketing. This list is about them. ​ Why 101? ​ Since the advent of Chat GPT, the entire internet has been reinvented. Generative AI is causing upheavals, especially in marketing, unlike anything seen in at least 25 years. Every marketer must rethink their profession through the lens of AI. In a way, all of us marketers are back to school and need to review our most basic marketing knowledge in light of this new theme. The number 101, which means 'learning the basics,' was chosen to emphasize the need to stay humble as our professions change dramatically. ​ Methodology Our Selection Criteria ​ The Predominant Criterion An action by the woman in a domain intersecting marketing and AI (both combined) which has led to the development of authority and an audience (or community) whether large, niche, or even tiny around this theme, intending to spark high-value conversations. ​ Other Criteria Considered ​ Woman: Only profiles of women were analyzed (see our explanations in the ‘Why a list of women’ section). ​ Action: Only women who, in the last 18 months, have undertaken at least one concrete action integrating AI in any marketing field. The action in question must have been value-adding. ​ Examples of value-adding actions include regular content curation on the AI + Marketing theme, creation of a specific product (advertisement, technology, digital content, etc.), creation of a particular service (club, community, event, etc.), an initiative for creating specific content (newsletter, forum, event, community, series of social media posts), etc. ​ Domain: Only content that cumulatively intersects AI and Marketing was considered, not just one or the other. ​ Platform: All social networks (LinkedIn, X, Facebook, Instagram, YouTube, TikTok, and blogs) were considered using suitable technologies (see methodology). ​ Language & Country: Priority was given to two languages, English and French, even though a “borderless” geographic approach is in place. ​ ​ Criteria Not Considered ​ Audience Volume: We included women with audiences ranging from 2,000 to millions of followers as long as the above criteria were met. Small is the new big, and we love small! ​ Social Media Presence: We did not seek women who are specifically active on multiple platforms. As long as they were active on at least one platform, they were included in our selection. ​ Content Domain: The action's domain must be at the intersection of AI and Marketing. Profiles that address AI in its tech dimension only are not included. Similarly, profiles that focus solely on marketing without mentioning or undertaking specific initiatives related to AI are not included either. ​ Technologies we used: ​ Sparktoro: to analyze audiences around AI Marketing. ​ Traackr and Favikon: for identifying women active in the field. ​ ChatGPT, Claude, and Gemini Advanced to review the content. Mid-journey for Design. ​ Findings and Insights about AI Marketing ​ By analyzing nearly 500 identified profiles and sorting them according to the criteria presented above, we have been able to: 1. Identify Archetypes, and groupings of influential individuals based on key and shared characteristics. Archetypes are customizable and, in this case, adapted to the mission of this list. They allow us to go beyond just the number of followers and consider aspects such as professions, the angle of the conversation, the role of the influencer in a conversation, the type of content created, the volume of content on a given topic, how they like to engage, and which KPIs to link them to. 2. Observe a Marketing Discipline in Transformation and the emergence of new marketing categories: AI Marketing is a business reality. The traditional components of marketing are experiencing structural transformation. As a result, new job titles are appearing. ​ The new marketing jobs emerging from AI Marketing ​ ​ 1. The marketing discipline, significantly impacted by AI—especially generative AI—is undergoing profound changes. This big change is creating a new field that transcends the marketing function and goes beyond traditional marketing: AI Marketing. Since November 2022, the boundaries of this new discipline, in terms of both the nature of the work and the vocabulary used to describe it, have been evolving almost daily. Marketing jobs are changing in nature, and their names are changing as well. Until now, traditional marketing comprised (roughly) the following sub-domains/categories: Advertising Analytics (data analysis) Communication & Public Relations Content Marketing Customer Service & Experience E-commerce Email Marketing Sales SEO Social Media Marketing & Influence 2. Based on existing and recognized frameworks such as the marketing funnel and the PESO model, as well as roles, jobs, and required skills, we reorganize marketing into the following seven categories: Marketing Intelligence: This term refers to the process of collecting, analyzing, and interpreting data related to marketing activities, markets, and consumer behaviors. It includes everything that is analytics, data and insights, performance measurement, research and monitoring, predictive modeling, ethics, and data protection. This information informs strategic decision-making within marketing activities. Customer Acquisition (off-website metrics: leads, CAC): This category refers to all activities aimed at attracting and capturing the interest of a highly targeted audience. It encompasses Account-Based Marketing (ABM), most lead generation, demand generation, growth marketing, product marketing, performance marketing, programmatic advertising, partnerships, and affiliate programs. These off-site activities aim to generate highly qualified leads. Customer Experience (on-website metrics: sales, retention, CLTV): This expression includes all activities designed to optimize customer interactions across touchpoints, increase sales, and build customer loyalty. From conversational commerce to personalization and customer relations, it includes websites, CRM, emailing, chatbots and AI assistants, e-commerce, omnichannel customer service, customer data platforms (CDP), and everything related to marketing technologies and automation. Content Strategy (Owned media - metrics: subscriptions, CTR): This appellation encompasses all activities related to content marketing. It includes audience research, strategy development, planning, content creation in all types and formats, writing, distribution, and promotion. The goal is to add value at every stage of the customer journey by producing and distributing relevant, useful, and regular content to attract and retain clearly defined audiences. Brand & Creative (Owned media - metrics: impressions, brand awareness): This category includes many traditional marketing activities associated with Brand Building. Related to the construction, development, and promotion of the company, this category includes brand strategy, advertising, design and creativity, communication and public relations, messaging and storytelling, gamification, and immersive experiences. The goal is to create a strong and positive perception of the company in the minds of target audiences. Social & Community (Earned & Shared media - metrics: engagement, mentions, reviews): This expression refers to all activities related to social media, influencer marketing, forums, review platforms, social listening, communities, partnerships, events, employee engagement, and personal brand development. Focused on building relationships, they aim to generate audience engagement, recommendations, and a sense of belonging. AI-Powered Search (Owned & Shared media - metrics: SEO, organic traffic): This category reflects the evolution of SEO, including current optimization activities and new ones related to the very recent Artificial Intelligence Overview (IAO), formerly known as Google Search Generative Experience (SGE), Generative Engine Optimization (GEO), AI Optimization (AIO), co-occurrence (evolution of backlinking), and optimization for voice and visual searches. These activities will play a crucial role in increasing a site's visibility and acquiring organic traffic. ​ 7 Archetypes of Women in AI Marketing​ In influencer marketing, an archetype is a symbolic and widely recognizable character that embodies specific values, behaviors, and characteristics. Its purpose is to provide a framework for understanding and categorizing people based on their respective styles, content strategies, audience engagement, and how their followers/communities perceive them. By analyzing the profiles of these influential women in the field of AI Marketing, we have identified seven different archetypes. We primarily constructed these archetypes using two criteria: the nature of their work and the influence they had (these two criteria being cumulative). We measured the level of influence from 2,000 followers on one or more networks. Here are the seven identified archetypes: 1. The AIM Educators: Informed about the latest innovations, news, tools, prompts, influencers, and trends, AIM Educators create and share content related to AI marketing. Regardless of their areas of expertise or the size of their community, their goal is to educate through workshops, newsletters, books, blogs, videos, and more. Often established as independents, they play a crucial role in bridging the gap between AI technologies and their practical applications in marketing strategies. They can share both the technical skills necessary for using AI tools and more academic knowledge to adapt marketing strategies or ensure ethical and effective adoption within the function. 2. The AIM Change-Agents: They stand out by creating or working for agencies, consulting firms, or training organizations whose mission is to advise and assist businesses and marketing professionals in the AI transition. Recognizing the transformative power of AI, they actively participate in its adoption within organizations and promote it to revolutionize marketing practices. As external consultants, they drive significant transformations by supporting the integration of artificial intelligence into their clients' marketing strategies and operations, leading them toward more innovative and effective practices. 3. The AIM Leaders: They hold high positions in marketing or through cross-functional roles (Digital, Innovation, Sustainability) within large companies and are the ones driving AI adoption and advancement. They test and use AI in their functions and familiarize their teams with these new tools, thereby changing work processes. Capable of identifying relevant innovations and tools for their brand and profession, they strive to democratize their use, often calling on AIM Change-agents to help them and guide their teams and organizations toward smarter marketing solutions. 4. The AIM Entrepreneurs: They use AI advancements to create businesses that directly or indirectly impact the marketing field. With a solid understanding of technologies, they constantly seek ways to apply AI innovatively to provide new solutions to existing problems or address a market opportunity. Recognized and followed by many of their peers, they are driven by a passion for innovation and a desire to transform the marketing industry with AI-powered solutions. They embody the entrepreneurial spirit, combining technological expertise with market understanding to create high-potential businesses. 5. The AIM Forward-Thinkers: They are generally researchers, analysts, and futurists, or are recognized as such in the industry, interested in AI and studying its impact on the marketing landscape for many years. Proactive in exploring, adopting, and innovating AI-driven tools, technologies, and strategies, they can predict trends, identify opportunities, and anticipate consumer behaviors. They are characterized by their vision of AI's potential, understanding of its impact, ability to spot future challenges, and commitment to promoting human-machine collaboration. These visionaries play a crucial role in enhancing marketing relevance and performance. 6. The AIM Scientists: They are professionals with scientific training who specialize in merging AI with marketing technologies and are often invested in data and customer experience fields. They have expertise in algorithms and marketing platforms, allowing them to develop and implement AI-driven solutions to improve products, strategies, and campaigns. These specialists help bridge the gap between AI capabilities and marketing objectives, using technology to drive innovation and efficiency. They offer personalized, data-driven marketing experiences that resonate with consumers and drive business growth. 7. The AI Tech Marketers: They are marketing professionals who have spent most of their careers in technology companies. They specialize in promoting and marketing technological solutions, typically to businesses and professionals. They have a deep understanding of AI's capabilities, applications, and benefits. They excel at communicating these complexities clearly and convincingly to their target audience. Leveraging their technical knowledge and marketing expertise, they effectively promote, foster adoption, and contribute to the growth and success of their company and the technologies in general. Check our PDF with the list of these101 Remarkable Women in AI Marketing. We would love for you to consider joining us in our amazing community of Women working at the intersection of AI and Marketing.

The AI industry is evolving at an unprecedented pace, revolutionizing sectors and creating new opportunities. As we move further into 2024, understanding AI's current landscape and future potential is more critical than ever. This blog post delves into over 63 crucial statistics highlighting the scope, segmentation, and impact of AI across various industries to help you conceive your marketing strategy accordingly. Market Size Statistics for the AI Industry Current and Future AI Market Size, Growth Rates, and Projections 1. The global AI market size was valued at $150.2 billion in 2023 (Source: Fortune Business Insights Report). 2. The global AI market was close to $208 billion by the end of 2023 (Source: MarTech). 3. The global AI market is projected to reach approximately $500 billion by 2024, demonstrating a compound annual growth rate (CAGR) of around 20.1% from 2020 to 2024 (Source: MarketsandMarkets, 2021). 4. The global AI market is expected to exceed $1 trillion by 2028, with an expected growth of 40% from 2023 to 2028 (Source: Exploding Topics Blog). 5. The global AI market size is projected to reach $1.345 trillion by 2030, with an expected growth of 36.8% from 2023 to 2030  (Source: Fortune Business Insights Report). 6. The generative AI market size reached $44.89 billion globally and $16.19 billion in the U.S. in 2023 (Source: Exploding Topics Blog). 7. The generative AI market is expected to show an annual growth rate of 24.4% from 2023 to 2030, resulting in a market volume of $207 billion by 2030 (Source: Exploding Topics Blog). Regional & Worldwide Market Insights 8. North America held the largest market share in the AI market in 2023 (Source: Fortune Business Insights Report). 9. The North American AI market is expected to reach approximately $200 billion by 2024 (Source:  Grand View Research, 2021). The presence of major tech companies and high adoption rates of AI technologies contribute to this dominance. 10. The Asia-Pacific AI market is projected to grow rapidly, reaching $120 billion by 2024, with significant investments in AI infrastructure by countries like China, Japan, and South Korea (Source: IDC, 2021). 11. The AI market in Europe is expected to reach $80 billion by 2024, driven by government initiatives and investments in AI research and development (Source: European Commission, 2020). AI Market Segmentation Which segment dominates the AI market by component? 12. The software segment is expected to dominate the AI market by component due to the rising adoption of AI services and government initiatives promoting AI technology (Source: Fortune Business Insights). 13. The AI software segment alone is expected to generate revenues of about $126 billion by 2024. This includes applications in various domains such as machine learning, natural language processing, and robotic process automation (Source: Statista, 2023). 14. The machine learning segment is forecasted to dominate the AI market, accounting for around $100 billion by 2024. This includes applications in predictive analytics, autonomous vehicles, and smart robots (Source: Allied Market Research, 2021). 15. The Natural Language Processing (NLP) market within AI is expected to reach $30.5 billion by 2024, fueled by the rising demand for virtual assistants, chatbots, and speech recognition systems (Source: Research and Markets, 2021). 16. The computer vision segment is projected to grow to $50 billion by 2024, driven by its applications in sectors such as automotive (autonomous vehicles), healthcare (medical imaging), and retail (visual search) (Source: MarketsandMarkets, 2021). AI and Job Market 17. By 2030, 11.8 million workers will need to change occupations due to job losses in roles like clerks (down 1.6 million), retail salespersons, administrative assistants, and cashiers, with an increasing demand for higher-skilled jobs (Source: McKinsey). 18. AI is expected to automate 30% of hours worked today by 2030, potentially impacting 300 million full-time jobs globally. However, AI will also create new job roles and opportunities, leading to a net gain in employment in many sectors (Source: McKinsey - Generative AI and the future of work in America). 19. New job roles expected to emerge due to AI adoption include AI ethics officers, machine learning engineers, AI trainers, data scientists, and AI project managers. These roles will be critical in managing, developing, and implementing AI technologies across various industries (Source: World Economic Forum). 20. Approximately 35% of employees will need reskilling and training to adapt to new AI tools and technologies as automation increases and the nature of jobs evolves (Source: O'Reilly). AI adoption per industries and Use How do different industries compare in terms of AI adoption rates? Different industries show varying levels of AI adoption: 21. Financial Services and Banking: 70%. This industry also has a high adoption rate, using AI for fraud detection, customer service, and personalized financial advice (Sources: McKinsey). 22. Retail and E-commerce: 55%. Retailers use AI for personalized marketing, inventory management, and customer service (Sources: McKinsey). 23. Healthcare: 60%. AI adoption is growing for diagnostics, patient care, and operational efficiency (Sources: McKinsey). 24. Marketing: In 2023, the adoption rate of generative AI in marketing saw significant growth. 65% of organizations were regularly using generative AI in at least one business function, with a notable increase in marketing and sales applications (Source: McKinsey). 25. Manufacturing: 50%. AI is increasingly used for predictive maintenance, quality control, and supply chain management (Sources: McKinsey). 26. Technology and Telecommunications: 45%. These sectors have the highest AI adoption rates due to their intrinsic focus on innovation and digital transformation (Sources: McKinsey). AI in Healthcare 28. The AI market in healthcare is projected to grow to $45.2 billion by 2024, with a CAGR of 44.9% (Source: Markets & Markets). 29. Key applications driving this growth include diagnostic imaging, personalized medicine, and drug discovery, patient management systems, and robotic surgery, (Source: Frost & Sullivan, 2021). 30. AI in the healthcare market is expected to reach $68 billion by 2032 (Source: Fortune Business Insights). 31. AI-powered diagnostics use patient history to flag health conditions needing further investigation (Source: PwC Global FinTech Report, 2020). 32. Around 60% of healthcare providers are implementing AI in various Capacities (Source: Accenture, 2021). 33. AI systems have shown to improve diagnostic accuracy by 30-40% in radiology and pathology (Source: Accenture, 2021). 34. AI has helped reduce hospital readmission rates by 15-20% (Source: Accenture, 2021). AI in Retail 35. AI applications in the retail sector are expected to reach $20.05 billion by 2024. The growth is driven by demand for enhanced customer experiences, supply chain optimization, and personalized marketing (Source: PR Newswire, 2021). 36. The retail AI market is projected to grow at a CAGR of 30% from 2023 to 2030 (Source: Global Market Insights). 37. Retailers use deep learning to predict customer orders in advance (Source: PwC Global FinTech Report, 2020). 38. About 55% of retailers are leveraging AI to enhance various operations. 39. AI Applications in retails are personalized marketing, inventory management, price optimization, customer service, and supply chain logistics. 40. Retailers using AI for personalization have seen a 20% increase in customer satisfaction and a 15% boost in sales (Sources: McKinsey & Company, 2020). 41. Driven inventory management systems have reduced out-of-stock situations by 30-40%. 42. 58% of U.S. adults are familiar with ChatGPT, but only 14% have tried it (Source: Hootsuite). 43. 21.4% of all generative AI users in the U.S. are aged 25 to 34 (Source: Hootsuite). AI in Financial Services & banking 44. The AI market in financial services is anticipated to be worth $35.4 billion by 2024, with an expected growth of 23.4%. Major uses include fraud detection, risk management, and customer service automation (Source: Business Insider, 2021). 45. AI is expected to increase banking industry revenue by $1 billion by 2035 (Source: Accenture). 46. Robo-advice enables customized investment solutions for mass-market consumers (Source: PwC Global FinTech Report, 2020). 47. Approximately 70% of financial services firms use AI in some form. 48. AI Applications in the Financial services and banking industry are fraud detection, risk management, personalized banking, chatbots, and algorithmic trading (Source: PwC Global FinTech Report, 2020). 49. 80% of banks are projected to have deployed chatbots for customer interactions by 2024 (Source: PwC Global FinTech Report, 2020). 50. AI-powered fraud detection systems have reduced false positives by 50% and improved detection rates by 90% (Source: PwC Global FinTech Report, 2020). AI in Manufacturing 51. Approximately 50% of manufacturing companies have adopted AI technologies (Source: Boston Consulting Group, 2021). 52. AI applications in the manufacturing industry are predictive maintenance, quality control, supply chain optimization, and robotics. 53. AI-enabled predictive maintenance has reduced maintenance costs by 10-20% and downtime by 30-50% (Source: Boston Consulting Group, 2021). 54. AI systems have improved defect detection rates by 90% (Source: Boston Consulting Group, 2021). AI in Telecommunications 55. The AI telecommunications market was worth $2.5 billion in 2022 (Markets and Markets). 56. Google Assistant has an accuracy rate of 98% for navigation queries (Loup Ventures). 57. Around 45% of telecom companies are utilizing AI (Source: Gartner, 2021). 58. AI’s applications in the Telecommunication industry are network optimization, customer service automation, predictive maintenance, and fraud prevention. 59. AI has helped improve network efficiency by 15-20% (Source: Gartner, 2021). 60. AI-driven customer service solutions, including chatbots and virtual assistants, have increased response times by 30% and customer satisfaction by 25% (Source: Gartner, 2021). AI Ethics and Trust 61. Only 39% of U.S. adults believe current AI technology is safe and secure (Source: MITRE). 62. 56% of executives are unsure if their organizations have ethical standards for AI use (Source: Deloitte). 63. 22% of executives cite data privacy as their top concern about generative AI (Source: Deloitte). Conclusion AI is taking over many industries. From healthcare to retail, it's improving how things work and making customers happier. The AI market is growing fast. Big advancements and investments are pushing it to new heights. This isn't just small progress; it's a big change that's transforming businesses. Sundar Pichai said it best: "AI is one of the most important things humanity is working on. It is more profound than electricity or fire." This shows how crucial AI is. If you're a business leader, policymaker, or tech fan, these insights help you understand AI better. AI is just starting, and it's set to change our world in a big way.

The real estate industry has historically lagged in embracing new technologies; however, the advent of generative artificial intelligence (AI) presents an unprecedented opportunity to revolutionize the sector. Zillow’s Journey Mapping illustrates the emotional rollercoaster renters experience throughout their apartment search, from initial excitement to eventual relief, often tarnished by stress and frustration. The disjointed tech in the real estate industry exacerbates these emotions, leaving customers overwhelmed and exhausted. From Zillow Rentals “Today’s Renter Journey” By embracing AI, we can do better. Our customers deserve better. The time is now. A recent report by McKinsey & Company shares that in their experience working with residential operators, those who create memorable brand experiences using data and technology, including generative AI, experience a premium of up to 15%. Additionally, a second report shows that in their work with AI, real estate companies enjoy NOI gains of more than 10% by creating efficiencies, superior decision-making, and enhanced customer experience. Getting caught up in the hype and excitement of future possibilities is easy. Daily, we hear about tools emerging that can handle the most tedious tasks and free up time to tackle the most rewarding parts of our roles. We are still in the early days of AI adoption in the real estate industry. My research indicates that while there is much discussion about AI's potential benefits, concrete case studies, and practical applications are scarce. This doesn't mean companies aren't utilizing AI—examples throughout this article demonstrate that they are. However, the lack of widespread, data-backed examples presents a unique opportunity for your company to explore AI's potential and gain a competitive edge. Before diving in, it’s essential to understand where to start and how to avoid common pitfalls. Current AI Marketing Use Cases in Real Estate 1. AI Chatbots AI-powered chatbots enable property managers to provide 24/7 personalized interactions through chatbots and email campaigns backed by large language models (LLMs). This ensures that prospective renters receive timely and relevant information at every stage of their decision-making process. Today’s renter expects almost immediate responses, yet CRM provider Knock shared that the average response time for the multifamily industry is around 39 hours! With AI chatbots, communication with prospective residents is available around the clock, significantly increasing the likelihood of converting leads into leases. Remember, many renters are at work while your office is open and are actively apartment hunting when your office is closed. Using Respage Chatbot by Respage nationwide property management company Legacy Partners saw impressive results in just one month with a 50% lead-to-tour conversion. During the first month with the Respage Chatbot, 301 prospects engaged after hours, which might have been missed otherwise, and the chatbot saved the onsite team 83 hours of work. 2. Lead Nurturing Leveraging advanced AI tools for lead nurturing can significantly enhance your communication with prospective renters, guiding them seamlessly through the decision-making process. These AI-driven systems ensure continuous engagement, providing immediate and accurate responses to inquiries, carrying on meaningful conversations, and persistently following up with prospects. This approach not only increases the likelihood of conversion but also ensures that leads are nurtured efficiently until they are ready to take action, such as scheduling a tour or applying for an apartment. Once a prospect reaches this stage, the lead is then handed over to a human team member. This transition allows your team to focus on high-value activities that drive occupancy and maximize revenue, thereby boosting overall productivity. For example, PERQ’s AI Leasing Assistant Solution has proven to be highly effective. In a case study with Unified Residential, the company experienced a remarkable increase in website traffic conversion, from 2% to 6.26%, and improved its lead-to-tour conversion rate by 67%, from 50% to 83.49%. Over a 60-day period, their leasing agents saved 162 hours of work, allowing them to concentrate on higher-impact activities. 3. AI For Deliquenceny Follow-up Automating the follow-up process for late payments can improve collection rates and reduce the administrative burden on property managers. Tools like Elise AI can schedule reminders and send personalized rent collection messages to residents. This ensures that delinquent payments are addressed promptly and professionally, improving cash flow and resident relationships while freeing your human team for more impactful tasks and engaging with residents. Elise AI has seen delinquency reductions as high as 52% per quarter when companies use their platform. 4. Custom GPTs for Brands At Scully Company, my team and I manage marketing and leasing for over 40 unique brands across the Northeast and Florida. Each property boasts its own unique personality and distinctive features that attract residents to choose it as their home. To enhance our marketing efforts, we leverage ChatGPT to create content that truly resonates with our customers. By training a GPT on specific details about each community, such as messaging, personas, and psychographic interests, we can craft compelling campaigns and content tailored to what makes each brand unique and appealing to our target audience. Free accounts can benefit from GPT’s in the GPT store. Try the Copywriter GPT - Marketing, Branding, Ads to create on-brand content for your audience. 5. AI Images and Video Generation AI image-generation tools like Midjourney and Dall-E can convert an idea into reality. Using text prompts, you can create a scene to show prospective or current residents what a future space will look like. As AI video tools enter the scene, these visualizations will become even more dynamic, allowing you to create short lifestyle videos, neighborhood walkthroughs, and more. The linked neighborhood walkthrough is an example of what you can create in less than two minutes with one simple prompt sentence using Runway. My prompt was: “Create a realistic video showcasing a group of diverse young professional friends in their 30s enjoying an evening out in Midtown Village, Philadelphia.” You can use a paid account to make longer videos or several short scenes that connect to create a longer lifestyle video. With tools like Archivinci, you can use drawings or text prompts to bring a sketch or simply a vision to life, visualize remodeling ideas, and even test various color palettes for a space. 6. Overcoming Language Barriers Recent Open AI and Google demos showed their new voice-to-voice capabilities, which are equipped with sophisticated natural language processing to facilitate two-way conversations. While translation tools already exist, this technology smoothly translates conversations between people who speak different languages in real-time, allowing seamless communication and even real-time interruptions, as shown in this demo. Picture an English-speaking maintenance technician entering a French-speaking household with a dishwasher issue. ChatGPT 4o’s translation capabilities will allow them to have a fluid and thorough conversation about the problem, quickly giving the maintenance technician the necessary information. 7. Predictive Analytics AI provides actionable insights that help property managers make informed decisions. There is no shortage of data aggregation tools in multifamily; however, these tools still require manual analysis. Marketing teams often must analyze countless dashboards and reports, a manual and time-consuming process. AI tools like Remarkably can automate this burden, prescribing steps to optimize returns and improve the health of campaigns, similar to how a doctor prescribes treatments for better health outcomes. 8. AI Copilot AI chatbots, which traditionally engage prospective residents, are beginning to offer innovative solutions for resident platforms, transforming how we interact and manage our communities. AI chatbots like STAN can assist residents with booking amenities, troubleshooting issues, and responding instantly to common questions. By handling routine inquiries, appointment scheduling, and room booking, AI allows staff to focus on more complex tasks and provide better service. In the near future, I expect chatbots to integrate with property management systems, enabling them to understand each prospect or resident's unique renter journey. These chatbots will then be capable of coaching employees on handling each specific communication or interaction to achieve the optimum outcome. 9. Enhanced Search and Evaluation AI-powered natural language search options like Sunny.com allow potential renters to describe their ideal apartment in their own words. This makes the search process more intuitive and efficient, leading to higher satisfaction rates, more qualified prospective renters, and higher conversions. Renters can search for properties using phrases like “two-bedroom furnished apartment in New York City with lots of natural light” and have their perfect apartment delivered to them. 10. Geo-Targeting and Heat Maps Companies like location intelligence provider Placer.ai analyze geographic data to understand where potential renters are searching from and moving to. This helps in better-targeted marketing efforts and efficient resource allocation. For example, AI can identify trends in migration patterns, allowing property managers to adjust their marketing strategies and investment decisions accordingly. AI Marketing in Real Estate: Near-Future Use Cases 11. Predictive Maintenance AI can identify patterns and forecast when equipment will likely fail by analyzing data from various sensors and maintenance logs. This allows property managers to perform proactive maintenance, reducing downtime and avoiding costly emergency repairs. For example, if data showed that a particular brand of dishwasher has a part that historically fails at 15 months, the platform could alert the maintenance team to check that part at the 13—or 14-month mark, reducing potential damage to your asset and enhancing customer satisfaction. 12. Personalized Resident Experiences AI can gather and analyze data about residents' preferences, habits, and interests, enabling property managers to offer tailored experiences. Understanding resident preferences can help plan community events, provide personalized services, and improve overall satisfaction. This data-driven approach is similar to how websites use cookies to enhance user experience but with the potential for even deeper personalization. Grace Hill quotes an average resident survey response of 10%—30 %, with 50% or higher considered to be excellent—but what about the rest of your residents? What do they want? AI also gives us the power to hear more from quiet voices. 13. Early Prediction of Lease Renewals AI can analyze resident behavior and historical data to predict lease renewals. This allows property managers to proactively address potential issues and engage with residents early, improving retention rates. For example, if AI identifies a resident unlikely to renew their lease, managers can reach out to address concerns, increasing the likelihood of renewal. 14. Enhanced Customer Experience AI-powered apps become a personalized guide for optimizing each individual resident’s day for maximum enjoyment. Think notifications for HVAC recommendations, smart tech that pairs with AI to create grocery lists, based on what’s in the apartment, sending recipe suggestions at the perfect time of day before a resident leaves their office so they can pick up ingredients on their way home, sending proactive reminders to book spaces for special occasions simultaneously increasing opportunities for ancillary income, or reminders to register for community events the resident would enjoy. These features will enhance the overall resident experience, creating life satisfaction they can’t imagine living without and making your community sticky. 15. Customer-Driven Design AI can invite residents to contribute to design choices, feeding their preferences into the system to make informed decisions. We already have virtually staged models. It won’t be long until residents can toggle different furniture or design styles within an image and select their preferred design. An AI system to capture this information could inform architects, developers, and management companies about what selections to make for renovations or other projects under construction with a similar resident base. This also opens ancillary revenue opportunities for a company that might want to partner with a furnishing company. Working in AI Marketing Real Estate? 3 Pitfalls to Avoid Fair Housing Concerns LLMs are trained on content created by humans, and unfortunately, we live in a world where bias exists. Before selecting a generative AI tool, you must question the provider on how the tool will uphold fair housing requirements. Implementing oversight mechanisms and regularly reviewing AI outputs is crucial to ensure compliance, fairness, and equity. In recent news, Zillow has taken an industry-leading step by releasing its open-source Fair Housing Classifier. This tool aims to address the crucial issue of fairness in housing by setting clear boundaries for responsible and unbiased conversations with large language models, such as those used in generative AI tools like chatbots and lead nurture technology. If the classifier identifies a conversation that falls outside of compliance, the system developer can intervene. Most notably, the open-source nature of the classifier makes it freely accessible, allowing companies to easily adopt and contribute to its continuous improvement. AI Hallucinations AI’s primary goal is to achieve user satisfaction- so much so that if an AI does not know the answer, it will make one up. Human oversight is imperative to verify AI outputs and manage misinformation risks. Property managers should know AI's limitations and ensure humans review content and critical decisions. You are liable if your AI provides inaccurate information! In a notable example with Air Canada, the airline’s chatbot gave a customer inaccurate information about bereavement fares. When the customer requested the refund the chatbot described, the airline refused, claiming their chatbot was a separate legal entity and the company was not liable. The case went to court, and the Canadian tribunal found otherwise, requiring the company to reimburse the customer for the difference in fare quoted by the chatbot. Employees Using AI on Autopilot Over-reliance on AI without human oversight can lead to issues. Employees should use AI as a tool to enhance their capabilities rather than as a replacement for their judgment and expertise. I am still waiting to get something from AI that does not need adjusting. You spend so much time, effort, blood, sweat, and tears developing your brand and gaining resident trust. Don’t let improper tool use steal that away. Continuous training and development are essential to ensure staff can effectively collaborate with AI systems and leverage their full potential. Unlocking the Future of Real Estate with AI AI can revolutionize the real estate industry when appropriately used to increase efficiency, enhance the customer experience, and increase revenue. However, innovation in this space requires significant change management and an investment in a team of professionals to craft the customer experience and develop the tools needed to deliver it. Working collaboratively with generative AI requires some trial and error. Think of these tools like a new intern. The more specific directions and follow-up guidance you provide, the better the output. More importantly, even if the output is not perfect, today is the worst AI will ever be. Recognize the future possibilities, and get acquainted with how to use these tools now. Companies that see the value in this approach have an opportunity to strike gold, gain an unparalleled competitive advantage, and position themselves as industry leaders. Remember... 1000 steps start by 1. And today is the best day to start ;).