Meta is cutting 10 percent of its workforce and moving thousands of employees into AI roles. Google just announced the biggest change to Search in over 25 years. And Elon Musk has officially lost his legal battle against OpenAI. This week, Meta lays off staff and reorganizes 7,000 employees around AI across product, infrastructure and research, Google brings AI agents directly into Search to help users complete tasks not just find information, Amazon adds a feature to Alexa Plus that generates full podcast style audio episodes on demand, the Vatican forms a new committee on the ethical implications of AI, and Elon Musk's lawsuit against OpenAI is dismissed with the jury siding with Sam Altman. If you are a founder, operator or executive trying to keep up with AI, this is your weekly five-minute briefing every Tuesday. Stories Covered This Week: Meta announces 10% layoffs and moves 7,000 employees into AI focused roles across the business Google announces the biggest update to Search in 25 years bringing AI agents directly into the product Amazon adds podcast style audio generation to Alexa Plus The Vatican forms a new AI ethics committee focused on labor and human decision making Elon Musk officially loses his lawsuit against OpenAI with the jury siding with Sam Altman Episode Timestamps: 00:00 Intro 00:21 Meta cuts 10% and reorganizes around AI 01:16 Google reinvents Search with AI agents 02:11 Amazon Alexa Plus generates podcast episodes on demand 03:17 The Vatican forms an AI ethics committee 04:11 Musk loses his lawsuit against OpenAI 05:02 Outro Partner Links: Upgrade your AI toolkit: https://www.theaireport.ai/ai-executive-pass Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe Join the community: www.theaireport.ai/leaders-launch-guide Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Swati Trehan, co-founder of Ema, breaks down what AI agents actually are, how “AI employees” work inside Fortune 500 companies, and why the future of enterprise software may look nothing like today’s SaaS tools. Swati explains how Ema’s platform orchestrates teams of AI agents that can autonomously handle HR, IT, finance, onboarding, payroll, employee support, and customer service workflows across massive organizations. She also reveals how companies like Hitachi are already deploying AI employees at scale, why traditional automation failed, and how enterprise AI is evolving beyond simple copilots into fully agentic systems. The conversation dives deep into the technical infrastructure behind agents, including memory, orchestration layers, knowledge graphs, model routing, and why Ema uses multiple LLMs simultaneously to optimize for cost, latency, and accuracy. Swati also shares why Excel remains one of AI’s hardest unsolved problems, why video is the next frontier for agents, and how the “SaaS apocalypse” is reshaping software businesses. If you’ve been hearing terms like agents, autonomous workflows, AI employees, copilots, or agentic AI, this is one of the clearest explanations of where the technology is heading and what it means for the future of work. Key Topics Covered: What AI agents actually are (explained simply) The difference between copilots, agents, and AI employees Why traditional automation and RPA failed How Fortune 500 companies are deploying AI employees today Why HR is becoming the entry point for enterprise AI adoption How Ema orchestrates teams of agents across workflows The technical stack behind enterprise AI agents Why memory, context, and permissions are critical for agents The “mixture of experts” approach using multiple LLMs at once Why Excel remains surprisingly difficult for AI systems The next frontier: AI-generated video workflows The rise of the “SaaS apocalypse” Why solving business problems matters more than building features How AI is changing the way founders and engineers think Episode Timestamps: 00:00 - Intro 00:34 - What AI agents actually are 03:01 - The difference between agents and AI employees 03:25 - Liam’s “light bulb” moment using agents 04:06 - Swati’s realization that HR work could be automated 05:57 - The founding story behind Ema 08:20 - Why AI unlocks human creativity 09:20 - The technical infrastructure behind AI agents 12:12 - How Ema routes tasks across multiple LLMs 13:49 - Memory, context, and knowledge graphs for agents 16:35 - The biggest unsolved problems in AI agents 18:32 - Why video is the next frontier for AI 20:05 - Why Excel is still difficult for AI systems 21:00 - Who Ema’s ideal customers are 23:27 - Why HR teams are leading enterprise AI adoption 24:25 - How enterprise AI implementation actually works 26:13 - Why modular agents matter 28:35 - What the employee experience looks like with AI agents 30:24 - Live demo of Ema’s AI employee system 36:58 - How companies roll out AI agents internally 39:31 - Building AI employees in real time 44:01 - Ema’s competitive moat in the AI race 47:46 - The “SaaS apocalypse” and future-proofing AI businesses 49:16 - Why Ema focused on product over hype 52:12 - How AI changed the way Swati thinks 55:07 - Why rapid problem-solving matters more than ever 57:27 - Living in London while building a global AI company 59:16 - Why Swati does what she does Swati Trehan’s Socials: LinkedIn: https://www.linkedin.com/in/swati-trehan/ Ema: https://www.ema.co Partner Links Upgrade your AI toolkit: https://www.theaireport.ai/ai-executive-pass Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe Join the community: https://www.theaireport.ai/leaders-launch-guide Learn more about your ad choices. Visit megaphone.fm/adchoices

$852 billion. That's what OpenAI is now worth, and its own investors are starting to question if that math adds up. This week, Anthropic's new model takes the coding crown from GPT-5.4, OpenAI's backers get cold feet, Snap cuts 1,000 jobs and points the finger at AI, twelve tech giants team up to secure the internet, and Nvidia writes a $5 billion check to its oldest rival. If you're a founder, operator, or executive trying to keep up with AI, this is your weekly five-minute briefing every Tuesday. Stories Covered This Week: Claude Opus 4.7 hits 87.6% on SWE-bench Verified, beating GPT-5.4 and Gemini 3.1 Pro on coding OpenAI's $852B valuation faces scrutiny as Anthropic's revenue triples to $30B in one quarter Snap lays off 1,000 people (16% of staff), citing AI writing 65% of its code Anthropic launches Project Glasswing with Amazon, Apple, Microsoft, Google, Nvidia and 7 others Nvidia invests $5B in Intel, co-developing x86 chips built for its AI stack Timestamps: 00:00 Intro 00:31 Claude Opus 4.7 takes the coding crown 01:26 OpenAI investors get cold feet 02:18 Snap cuts 1,000 jobs, blames AI 02:56 Project Glasswing: Securing the world’s critical software 03:49 NVIDIA invests 5 billion into Intel 04:41 Outro Partner Links Book Enterprise Training: https://www.upscaile.com/ Subscribe to our free newsletter: https://www.theaireport.ai/subscribe Free AI Tool Stack: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH Learn more about your ad choices. Visit megaphone.fm/adchoices

On today's news roundup: Procreate takes a stand against AI, custom-made GPT4o's, and overall panic throughout Fortune 500 companies. Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode Summary In this conversation, Liam Lawson interviews Andrew Mounier, a B2B SaaS marketing expert, about his background and experiences in scaling companies. They discuss topics such as the importance of building relationships, the transition from a political science degree to entrepreneurship, and the motivation behind Andrew's career choices. They also touch on the process of hiring and finding the right fit in a company, as well as Andrew's passion for building a better world through technology and social purpose. In this conversation, Liam Lawson and Andrew Mounier discuss the use of AI in marketing, the importance of human touch in customer service, and the future of AI in various industries. They also touch on the need for individuals to upskill themselves in AI and the potential job displacement that may occur. Andrew shares his personal goals of launching a climate tech business, owning a farm, and creating a retreat focused on mindfulness and human connection. Chapters: 00:00 Introduction and Background 02:43 Building Relationships and Thriving in the B2B SaaS Space 05:04 Transition from Political Science to Entrepreneurship 08:38 Balancing Personal Projects and Career Growth 10:45 Prioritizing Equity and Ownership in Job Opportunities 16:17 Servant Leadership and Empowering Teams 20:16 Finding Alignment in Job Opportunities 24:06 Lately: Using AI for Social Media Marketing 39:07 The Role of AI in Marketing and Customer Service 44:37 The Importance of Upskilling in AI 50:17 The Future of AI: Creativity and Mindfulness 01:07:16 Andrew's Personal Goals: Climate Tech, Farm Ownership, and Mindfulness Retreat ⁠Connect with Andrew Learn more about your ad choices. Visit megaphone.fm/adchoices

Whether you're a first time listener or a longtime fan, you're safe to think we're pretty AI forward here. But in all our talk about AI being the future, it can be easy to lose sight of the actual future: our kids.AI is bringing up all kinds of issues critical for both society at large and individual parents, like me. What kind of world are we creating? How will our kids find their place? What does their education to get them ready look like?We're on with Edward Glassman, faculty and leading voice of the AI Task Force at Philadelphia's prestigious Springhill Chestnut Hill Academy, on what it looks like to raise the entrepreneurs of tomorrow, how to navigate AI in the education space, and what it means to be a parent and teacher in this age of transition. Learn more about your ad choices. Visit megaphone.fm/adchoices

Summary In this conversation, Liam Lawson interviews Justin Hardy, an expert in building funnels. They discuss the importance of using funnels for conversions and how AI can speed up the funnel creation process. Justin provides a step-by-step guide on building AI funnels and shares insights on creating effective sales pages. He emphasizes the need to focus on one skill, find an AI tool that augments it, and become really good at it. Justin also highlights the opportunities that AI brings for entrepreneurs and advises starting small and growing from there. Chapters 00:00 Introduction to Justin Hardy and Funnel Building 02:24 Understanding Funnels and their Benefits 05:46 Using AI to Speed Up Funnel Creation 10:32 Step-by-Step Guide to Building Sales Pages 14:41 Using AI Prompts to Create Landing Page Copy 20:26 Opportunities for Entrepreneurs in the AI Era 38:00 Advice for Starting a Business in the AI Era Connect with Justin Learn more about your ad choices. Visit megaphone.fm/adchoices

On today's news roundup: Grok-2 Launches, Google's Gemini Live comes for ChatGPT, and Elon Musk is accused of data theft. Again. Learn more about your ad choices. Visit megaphone.fm/adchoices

Summary In this episode, Liam interviews Charlie Hills, founder of Cognified and editor-in-chief at Martek AI. They discuss Charlie's journey as an entrepreneur, his early experiences with AI, and his current ventures. Charlie shares insights on time management, personal branding, and the lessons he learned from his food tech startup. Charlie Hills shares his experience in the virtual brand space and the challenges he faced, including the difficulty of hiring talented and ambitious individuals. He also discusses his journey on LinkedIn, the importance of engaging with others, and the impact of AI on content creation. Charlie emphasizes the need for patience, focusing on the quality of work, and enjoying the process. He also highlights the potential of AI agents and encourages people to get started and experiment with AI. Chapters 00:00 Introduction and Background 03:03 The Impact of AI on Customer Loyalty 06:00 Building a Personal Brand on LinkedIn 10:04 Monetizing a Personal Brand 12:13 Lessons from Running a Food Tech Startup 20:54 Transitioning to Freelance Work 24:43 The Risks of Ordering from Virtual Brands on Delivery Platforms 28:13 Bringing Personality and Creativity to B2B Content 49:39 AI Trends: Top Models and the Future of AI Agents 52:56 Getting Started with AI: Take the First Step 55:10 Connect with Charlie Hills on LinkedIn for AI and Marketing Insights Connect with Charlie Learn more about your ad choices. Visit megaphone.fm/adchoices

Data makes the world go round. And with the advent of generative AI, it's not going to slow down. If that makes you uncomfortable, you're not alone. Today we have Dr. Philip Seegers, labor economist and researcher, on how data really does make incredibly accurate predictions of success in both education and work, and why gen AI is something we genuinely need to embrace... IF we can do a better job of addressing our own biases. Learn more about your ad choices. Visit megaphone.fm/adchoices

On today's news roundup: - OpenAI secrets - A guilty Google - The smartest robot ever Learn more about your ad choices. Visit megaphone.fm/adchoices

Summary Thomas Thompson, co-founder and CEO of EduAid, discusses his background as a teacher and the inspiration behind creating a tool for instructional design that uses generative AI. He emphasizes the importance of evidence-based practices in education and how AI can support teachers in creating more efficient and effective lessons. The EduAid platform allows teachers to integrate various tools and resources into one workspace, making lesson planning more streamlined and personalized. The team at EduAid aims to provide accessible and affordable AI tools for teachers, focusing on the quality of instruction rather than just saving time. Thompson also discusses the challenges and opportunities in the education technology landscape and the need for thoughtful adoption of AI in schools. In this conversation, Thomas Thompson discusses the adaptation of eduAID to different states' regulations and the importance of data privacy. He explains how eduAID avoids collecting personally identifiable information and focuses on instructional design elements. Thomas also talks about the lack of AI tools specifically focused on teachers and education. He mentions the need for discussions with policymakers to further develop eduAID and the challenges of integrating AI into the education system. The ultimate goal of education, according to Thomas, is sustainability and the development of basic literacy, numeracy, and interdisciplinary thinking skills. Chapters 00:00 Introduction and Background 03:47 Thomas Thompson's Journey into Teaching 06:01 The Intersection of AI and Education 09:12 Best Practices in Education and AI's Role 14:00 Introduction to AI and the Genesis of EduAid 17:12 Transition from Teaching to Starting an AI Company 23:44 Exploring the Components of EduAid 28:38 Enhancing Teaching and Planning with EduAid 31:24 Feedback and Value of EduAid for Teachers 34:33 Affordable AI Tools 38:15 The Role of a Small Distributed Team 46:08 The Slow Pace of Policy Development 51:21 Developing Frameworks and Policy 57:10 Diversity of Opinions Among Teachers 01:01:52 The Future of Education 01:03:50 The Foundation: Basic Literacy and Numeracy Skills 01:12:28 The Goal of Education: Sustainability 01:22:01 The Decline in Basic Numeracy and Literacy Skills 01:27:06 Building and Growing in the AI Space: Caution and Research Connect with Thomas Learn more about your ad choices. Visit megaphone.fm/adchoices

Show Notes In this conversation, Liam Lawson interviews Mark Crowley, the CEO and founder of AI Tool Report. They discuss Mark's journey as an entrepreneur, starting his first company in high school and growing it to success. They also talk about the genesis of AI Tool Report and how it has evolved over time. Mark shares his insights on hiring the right people, focusing on strengths, and the importance of market feedback. They also discuss the role of AI in their daily processes and the future of AI Tool Report. Chapters 00:00 Introduction and Background 01:26 Starting Spark Six Media in High School 08:42 Entrepreneurship and College 18:08 Genesis of AI Tool Report 23:20 Lessons Learned and Future Plans 32:36 The Future of AI Tool Report Connect with Martin here Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Andrew Warner, founder of Mixergy, host of over 2,500 founder interviews, and creator of The Next New Thing, reveals why the most exciting business opportunity in AI right now isn't building another chatbot or SaaS tool. It's building for AI agents as customers. Andrew shares how one founder went from $3K to $70K/month by simply pivoting his social media tool to serve AI agents instead of humans, why Jason Fried at Basecamp is now adding agent-first features, and what this means for every entrepreneur and operator watching the AI wave. Andrew breaks down his own AI tech stack (Claude Code, VS Code, Atlas Browser, OpenClaw), why he keeps a separate laptop just for AI agent work, and the brutal honesty about how much time we're all spending "playing" with AI vs. actually building revenue-generating products. He and Liam go deep on the "SaaSpocalypse" debate, whether intelligence becoming a utility makes audience and distribution the only real moats, and why the agent-to-agent economy, where software sells to other software, might be the biggest shift since mobile. Key Topics Covered How Andrew built a $30M/year email newsletter business in his 20s and what he learned about monetization The origin story of Zapier: Andrew was their first paying customer before they even had a product Why AI's "shiny object syndrome" is the biggest trap for builders right now Andrew's daily AI tech stack: Claude Code, VS Code, Atlas Browser, Claude Desktop, and WhisperFlow How Postiz went from $3K to $70K/month by becoming the social media tool for AI agents The agent-to-agent economy: why your next best customer might not be human Is SaaS dead? Andrew's nuanced take after 2,500+ founder interviews Why audience and platform stickiness are the only real moats when intelligence becomes a utility Liam's Claude automation workflows: auto-generating guest research, marketing assets in 5 minutes Vibe video editing and the future of AI-powered content production Episode Timestamps 00:00 - Introduction and welcome 00:28 - Andrew's background: building a $30M email newsletter empire 02:00 - Selling the business in his mid-20s and traveling the world 06:19 - Starting Mixergy and doing 2,500+ founder interviews 09:39 - The founders Andrew admires most: Wade Foster and Zapier's origin story 12:07 - How solving problems for free changes your career 12:51 - AI's shiny object syndrome: building for fun vs. solving real problems 14:36 - Andrew's mission: helping AI builders find real revenue 17:45 - Andrew's AI tech stack: VS Code, Claude Code, Atlas Browser, WhisperFlow 22:32 - The ideal future of work with AI agents 24:31 - What's most impressive and most underwhelming about AI right now 25:20 - Building a social listening tool with AI 27:08 - The SaaSpocalypse debate: can you vibe-code your own tools? 36:12 - Postiz: from $3K to $70K/month by selling to AI agents 38:17 - The agent-to-agent marketplace future 40:06 - Liam's Claude automation: auto-generating guest research briefs 43:19 - Real-time AI workflows with WhisperFlow and Claude 48:02 - Why investing time in AI compounds exponentially 50:05 - Creating marketing assets in 5 minutes with Claude 51:27 - Vibe video editing: the next frontier for content creators 53:42 - Thought experiment: what's defensible when intelligence is a utility? 55:39 - The bread maker analogy: why SaaS won't actually die 58:01 - What makes software defensible: switching costs and stickiness 01:00:47 - Postiz deep-dive: the agentic social media scheduling tool 01:03:26 - Agent-first businesses: newsletters, chat apps, and tools built for agents 01:08:51 - Where to find Andrew and closing thoughts Andrew's Socials: LinkedIn — https://www.linkedin.com/in/andrewwarner/ Website — https://thenextnewthing.ai Partner Links Book Enterprise Training — https://www.upscaile.com/ Subscribe to our free newsletter — https://www.theaireport.ai/subscribe Get free AI resources: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH Learn more about your ad choices. Visit megaphone.fm/adchoices

We're on with Damien Riehl, the man who famously copyrighted every melody that is and ever will be, only to put them in the public domain. His reasoning: to raise the bar of what we've traditionally thought of as "creativity". Join us as we explore why we should question the idea of people being able to trademark and patent creativity, as well as what the rise of AI means for artists, musicians, and creators. Learn more about your ad choices. Visit megaphone.fm/adchoices

On this week's news roundup: The French come after OpenAI, Musk makes another bold declaration, and Meta jumps into the open-source AI ring. Learn more about your ad choices. Visit megaphone.fm/adchoices

On today's news roundup: Meta pauses its plans in the EU and splits in two, while former OpenAI chief scientist goes all-in on AI safety. Learn more about your ad choices. Visit megaphone.fm/adchoices

AI is changing the employment game on both sides. Applicants are looking for new ways to differentiate themselves and remain relevant, while employers are trying to balance rapidly shifting technology alongside very real security and liability concerns. Perhaps no one is better positioned to share insight into this tug of war than Santiago Nisnik, head of product development at Athyna (one of the leading international hiring firms). From the perspective of years of data, coupled with hundreds of applicants and employers, Santiago shares why AI is about to transform the hiring process and how new opportunities will touch the global employment pool. Learn more about your ad choices. Visit megaphone.fm/adchoices

On today's news roundup, Apple finally reveals its AI, which prompts Elon Musk to issue them an ultimatum, which is immediately followed by Musk dropping his OpenAI lawsuit. Thing happen fast around here. Learn more about your ad choices. Visit megaphone.fm/adchoices

I've said this before, and I'll say it again:AI isn't smart, it's fast.It can't "take" your job, especially if you're staying on top of things. Yes, there's a steep learning curve to using generative AI. But if we're honest, that curve is less about the technology and more about the fact that humans are just naturally obstinate creatures.To help drive this point home, we're on with Ray Hayden, Senior instructional designer at the Society of Human Resource Management (SHRM to its friends), who shares his thoughts on why it can be hard to learn something new, and why the success of AI is impossible without the human touch. Learn more about your ad choices. Visit megaphone.fm/adchoices

On this week's news roundup: Hugging Face has a major security breach, Microsoft lays the groundwork for a future cyber security disaster, and the OpenAI/Google whistleblower saga continues. Learn more about your ad choices. Visit megaphone.fm/adchoices

Though AI gets thrown around a lot, the reality is the underlying architecture has been around for a LONG time. Specifically, predictive analytics has been a lynchpin of everything from economics and farming, to baseball and video games. One of the most important, and lesser known, implementations is the U.S. college admissions process. Over the last few decades, the cost of higher education in the United States has skyrocketed (with no signs of slowing down). Much of this has to do with predictive analytics and the business of "strategic enrollment management". That is, the science of maximizing students applications while minimizing financial aid. We're on with Alan Katzman, founder of Social Assurity, on how he's watching the data flow from students to college, his experience around the metrics that dictate who gets how much for college, and his thoughts on how AI is primed to upend the entire system. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week's news roundup continues the Sam Altman and OpenAI saga, and bring Elon Musk back into our collective consciousness. Learn more about your ad choices. Visit megaphone.fm/adchoices

With so much clickbait, you'd be forgiven for thinking generative AI was only for making pictures of world leaders as animals and frightening us with imitations of consciousness. But the possibilities of generative AI are endless, especially when combined with existing technology like Wifi. We're on with Origin Wifi CCO Tony Nicolaidis on what exactly is wifi sensing technology, why it's primed to disrupt everything from security to daycares, and how AI is boosting it's processing on an exponential curve. Learn more about your ad choices. Visit megaphone.fm/adchoices

$1.75 trillion SpaceX IPO, Meta's closed-source Muse Spark, Anthropic's restricted Claude Mythos, OpenAI's four-day work week proposal, and Google's open-source Gemma 4. This week, the biggest companies in AI are making very different bets on power, access, and what happens next. AI News in 5 is your fast, no-fluff weekly AI news roundup for founders, operators, and executives who need to stay current. Every Tuesday, in 5 minutes. Stories Covered This Week: Meta launches Muse Spark, its first closed-source AI model under Alexandr Wang's $14B deal Anthropic restricts Claude Mythos to 50 partners via Project Glasswing over cybersecurity concerns OpenAI publishes 13-page policy calling for 32-hour work weeks and a "robot tax" SpaceX files for $1.75T IPO after $1.25T merger with xAI to build orbital data centers Google releases Gemma 4, open-source models running on a single laptop Timestamps: 00:00 Intro 00:25 Meta launches Muse Spark, goes closed-source 01:15 Anthropic holds back Claude Mythos over hacking risks 02:10 OpenAI proposes four-day work week and robot tax 03:05 SpaceX files for $1.75 trillion IPO 03:55 Google releases Gemma 4 open-source 04:45 Outro Partner Links Book Enterprise Training: https://www.upscaile.com/ Subscribe to our free newsletter: https://www.theaireport.ai/subscribe Free AI Tool Stack: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH Learn more about your ad choices. Visit megaphone.fm/adchoices

This week's recap is entirely focused on AI safety, or possibly the lack thereof. Learn more about your ad choices. Visit megaphone.fm/adchoices

On this week's news roundup: - A major ChatGPT upgrade - Google 3D in 2025 - And even more Google as they add AI to their flagship search Learn more about your ad choices. Visit megaphone.fm/adchoices

On this week's news roundup: - A potentially massive AI upgrade for Siri - GrokAI to deliver your news - OpenAI wants YOUR feedback on how its models behave Learn more about your ad choices. Visit megaphone.fm/adchoices

Generative AI is everywhere, it's the new thing we all can't stop talking about, no matter how much the reasonable people around me ask me to. But despite how dominant it is, it's not the end all, be all. Generative AI probably isn't taking your job, and it's almost certainly not going to take over the world. At worst, it's going to give you something new to have to learn, and at best, it'll be a massive boost in your productivity. So why is it so hard for us to just... chill?  Ash Garner, Co-Founder of tomoro, is on today giving us his perspective on while almost every business has a use for AI, successful integration relies on focusing on the problem to be solved rather than an abstract need to "stay ahead". Learn more about your ad choices. Visit megaphone.fm/adchoices

On this week's news roundup, we cover: - A notable drop in Meta advertiser confidence - Apple staffing a secret AI lab with ex-Google staff - Microsoft to build humanoid robots Learn more about your ad choices. Visit megaphone.fm/adchoices

We humans are funny. On the one hand, we're all about innovation and progress. Yet on the other, we can't help but speculate about endless doomsday scenarios. From ancient apocalypses to Y2K and 2012, we love to focus on the next thing that will definitely destroy us. AI is the next end du jour. But not everyone sees it that way. Dr. Sam Samman, with scroll of credentials and veritable alphabet of honorifics, sees a near future where humans are augmented by AI. One where the speed of innovation is limited only by the speed of thought. In this future, as in the title of his book, we all attain the Singularity of Hope. Click to order your copy of The Singularity of Hope. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week's news roundup covers Microsoft making the Mona Lisa rap, Apple acquiring yet another AI startup, and industry giants coming together to protect our kids. Let's get to it. Learn more about your ad choices. Visit megaphone.fm/adchoices

We're all adverse to change. If you think I'm wrong, ask your therapist.But if you've been anywhere near the internet this last year, I think you'd agree that change is actively happening, right now. The explosion of generative AI shows no signs of slowing down, promising a seismic shift in how we interact with and leverage technology in virtually every aspect of our lives. It's exciting, wondrous, and definitely scary.We're on today with Tak Lo, founder, veteran, and serial entrepreneur on what it means to retain the singular quality that separates us from AI, and how we should all strive to reconnect with that humanity as leaders for our organizations and ourselves as we enter the age of Artificial intelligence. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week's top news includes: - Elon Musk sets his sight son ChatGPT - OpenAI lands in Japan - Microsoft makes a $1.5 billion global AI move Learn more about your ad choices. Visit megaphone.fm/adchoices

This week's top stories include: - DALL-E adds new photo editing tools - OpenAI changes its usage policy - Intel aims to dethrone NVIDIA Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Yasmeen Ahmad, Managing Director of Product Management for Data & AI Cloud at Google Cloud, reveals why 80–90% of enterprise data is "dark" and untouched — and how Google Cloud is building the tools to finally unlock it. Yasmeen shares how BigQuery's new Knowledge Engine captures the invisible business context that human analysts have always carried in their heads, and why this semantic layer is the real unlock for enterprise AI in 2026. Yasmeen breaks down how enterprises are scaling from 50 to 2,000 autonomous AI agents, why continuous evaluation (not unit testing) is the only way to keep agents trustworthy, and what Google learned from seeing 50% of its own code now written by AI. She also explains why 95% of AI pilots produce zero measurable ROI — and why companies that partner with a platform like Google Cloud see dramatically different results. Plus, her contrarian take on governance: it's not the brake, it's what lets you drive 150 mph into the bend with confidence. Key Topics Covered Why 80–90% of enterprise data is "dark" unstructured data that GenAI can finally unlock How BigQuery's Knowledge Engine captures the invisible business context analysts carry in their heads The semantic layer: why the next big unlock is context, not just more powerful models How enterprises are scaling from 50 to 2,000 autonomous AI agents Intent-driven agentic AI: giving agents outcomes instead of step-by-step instructions Why continuous evaluation is replacing traditional unit testing for AI agents Google's internal AI adoption: 50% of code written by AI, 10% engineering efficiency gains Why 95% of AI pilots produce zero ROI and what changes that outcome AI governance as an accelerator — the "brakes that let you drive 150 mph" framework Why culture and founder mentality matter more than technology budget for AI success Episode Timestamps 00:00 - Introduction and welcome 00:50 - Being Scottish in Silicon Valley and the power of community 03:13 - The career thread: curiosity, pivots, and getting outside your comfort zone 06:20 - What makes data fascinating: the hidden stories inside numbers 07:48 - Why data is the lifeblood of enterprise AI 10:19 - 80–90% of enterprise data is "dark" and untouched 12:59 - What BigQuery actually does (explained simply) 14:50 - The invisible work: knowledge layers and business semantics 17:38 - The agentic AI moment: agents that think, plan, and execute 20:41 - From 50 to 2,000 autonomous agents inside enterprises 22:07 - Why you can't evaluate AI agents like traditional software 25:46 - Signals of AI readiness: Google's 50% AI-written code and Honeywell's 30% efficiency gains 30:21 - Why 95% of AI pilots produce zero ROI 35:37 - Governance as a speed accelerator, not a brake 39:53 - Who's best poised to win: culture over budget 45:59 - Why do you do what you do? Yasmeen's Socials: LinkedIn — https://www.linkedin.com/in/yasmeenahmaduk/ Partner Links Book Enterprise Training — https://www.upscaile.com/ Subscribe to our free newsletter — https://www.theaireport.ai/subscribe Learn more about your ad choices. Visit megaphone.fm/adchoices

This week's top stories include Open AI's voice replication, Apple surpassing GPT 4, and Google considering starting to charge for searches. Learn more about your ad choices. Visit megaphone.fm/adchoices

How do you feel about AI giving you financial advice or a medical diagnosis? Would you be comfortable on a transcontinental flight knowing it's piloted by a machine? Jared Bonilla, fractional CAIO gives his perspective on the changing face of the workplace and why humans will always want another human to be part of their world. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week's top stories star Sora, Adobe, and Airtable. Learn more about your ad choices. Visit megaphone.fm/adchoices

Think of all the do-overs you'd take if given the chance: businesses, investments, relationships... It's not often in life we get second chances. Which is one of the reason AI is so exciting. It's nearly unbelievable to be riding a wave of change that starts with the technology, builds on the professional, swells in the social, and crashes into philosophy. We're live with Anne Murphy, 25 year veteran fundraiser and early AI adopter to ruminate on how AI is poised to shake up everything from corporate workflows to gender dynamics. I'm Arturo and this is AITR Live. Learn more about your ad choices. Visit megaphone.fm/adchoices

- Stability AI's new model turns 2D images into 3D videos - NVIDIA unveils 'Blackwell' - NHS AI test spots tiny cancers missed by doctors - xAI open sources base model of Grok Learn more about your ad choices. Visit megaphone.fm/adchoices

As exciting as it is to delve into the theory and policies that drive AI innovation, sometimes we need to ask "but how do I implement it"? Today we're doing thing differently. We're on with Louis Shulman, co-foudner of inbox ghosts, to get into the details of how to scale AI-powered newsletter copywriting business. And as an added bonus, we have our editor in chief and resident digital nomad Liam Lawson doing the interview. I'm Arturo, and this is AITR Live.  Without me. Learn more about your ad choices. Visit megaphone.fm/adchoices

It seems impossible to say "diversity" these days without igniting a firestorm. It speaks to the challenge humans have separating who we are from what we were taught. Beyond it being simply the right thing to do, there's empirical data that proves companies committed to diversity and equality consistently show a more profitable bottom line.We sit down with Zev Eigen, MIT graduate and the co-founder and chief data scientist at Syndio who's made it his life's work to balance the hiring and pay scales at companies as he shares what makes his work fulfilling and his vision for how AI will shape the future of human employment. Learn more about your ad choices. Visit megaphone.fm/adchoices

The banking industry doesn't garner much sympathy. Likely even less once you learn they spend most of their time reacting to new regulation rather than proactively evolving their processes. Christos Markidis hopes to fix that. Today he shares why AI is a significant leap forward for the banking industry, and what he hopes the future brings. Learn more about your ad choices. Visit megaphone.fm/adchoices

With thousands of tools out there, how to do you know where to start your journey? Our very own Liam Lawson talks about boosting his productivity, upscaling the AI Tool Report, and which tools everyone should start using to maximize their workflow. Learn more about your ad choices. Visit megaphone.fm/adchoices

Our history makes one thing clear: Humans tend to like to be around other humans socially. It gets complicated when that bleeds into our professional worlds. While planning is important, it often feels like meetings have taken the place of actual works during our day. Enter Xembly, the company founded by NLP veterans committed to streamlining our professional interactions and clarifying the action items that come out of them. Co-Founder and CTO Jason Flaks talks origins, goals, and the importance of being prepared when opportunity strikes. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, we break down the "Agentic Brain" — the architecture behind AI agents that can think, plan, and execute multi-step workflows with minimal human oversight — and why the agentic AI market is about to explode from $7.8 billion to over $52 billion by 2030. We reveal how the smartest enterprises are already deploying autonomous agents that handle everything from customer service to internal operations, and why only 14% of companies have production-ready agentic solutions despite all the hype. We go deep on what "bounded autonomy" actually means in practice, how multi-agent systems work (inquiries surged 1,445% in just one year), and why Gartner predicts 40% of enterprise apps will embed AI agents by the end of 2026. We also cover the real-world examples of companies using agents to handle 80% of customer service autonomously, the difference between "agentic AI" and a chatbot with extra steps, and what operators and executives need to understand before deploying agents inside their organizations. Key Topics Covered What the "Agentic Brain" is and how it differs from traditional chatbots and copilots Why the agentic AI market is projected to grow from $7.8 billion to $52 billion by 2030 How multi-agent systems work: planning, reasoning, tool use, and memory Why only 14% of companies have production-ready agentic solutions despite massive investment The concept of "bounded autonomy" and why it matters for enterprise deployments How some companies are already using AI agents to handle 80% of customer service autonomously Why multi-agent system inquiries surged 1,445% in one year Gartner's prediction that 40% of enterprise apps will embed AI agents by end of 2026 The difference between real agentic AI and hype — how to tell what's actually production-ready What executives and operators need to know before deploying AI agents in their organizations Episode Timestamps 00:00 - Introduction and meet the Agentic Brain team 00:39 - Today's agenda: three practical AI agents 01:09 - Agent 1: Personalized learning agent 03:05 - How the learning agent works 09:25 - Live demo: testing the learning agent 16:50 - Future of personalized learning with AI 24:51 - Agent 2: Sales analysis agent 28:31 - Demo: Sales performance dashboard 32:41 - Call quality and feedback analysis 46:18 - Real-world impact: proactive team management 49:26 - Agent 3: Customer service agent 50:52 - Multi-agent systems and scaling 78:55 - Closing remarks and thanks Partner Links Work with Agentic Brain — https://cal.com/forms/44f75adf-4741-4c5e-88d5-3249592ada99 Book Enterprise Training — https://www.upscaile.com/ Subscribe to our free newsletter — https://www.theaireport.ai/subscribe Learn more about your ad choices. Visit megaphone.fm/adchoices

Leo Rodman has been in the game since the days of dial-up. He shares his unique and invaluable perspective as someone who's seen technology hit it's exponential curve. Join us as we discuss deepfakes, ethics, and everything in between. Learn more about your ad choices. Visit megaphone.fm/adchoices

All technology is deflationary. By building on previous generations, we find Moore's Law to be true for more than just computers. But most tools are only as good as the platforms upon which they are implemented. Adam Oliner, founder and CEO of Graft, shares his journey from tech to start-up and his vision of human/AI coexsistence. Learn more about your ad choices. Visit megaphone.fm/adchoices

AI may be new, but entrepreneurship certainly isn't. Human have a long tradition of finding the angles and leveraging the hustle to make their money make more money. Paul Mladjenovic, author of several of the famous "For Dummies" books, shares his insight into why AI may be unique, but its underlying principles of investment remain the same. Learn more about your ad choices. Visit megaphone.fm/adchoices