Why 95% of AI Pilots Produce Zero ROI | Yasmeen Ahmad, Google Cloud

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 CoveredWhy 80–90% of enterprise data is "dark" unstructured data that GenAI can finally unlockHow BigQuery's Knowledge Engine captures the invisible business context analysts carry in their headsThe semantic layer: why the next big unlock is context, not just more powerful modelsHow enterprises are scaling from 50 to 2,000 autonomous AI agentsIntent-driven agentic AI: giving agents outcomes instead of step-by-step instructionsWhy continuous evaluation is replacing traditional unit testing for AI agentsGoogle's internal AI adoption: 50% of code written by AI, 10% engineering efficiency gainsWhy 95% of AI pilots produce zero ROI and what changes that outcomeAI governance as an accelerator — the "brakes that let you drive 150 mph" frameworkWhy culture and founder mentality matter more than technology budget for AI successEpisode Timestamps00:00 - Introduction and welcome00:50 - Being Scottish in Silicon Valley and the power of community03:13 - The career thread: curiosity, pivots, and getting outside your comfort zone06:20 - What makes data fascinating: the hidden stories inside numbers07:48 - Why data is the lifeblood of enterprise AI10:19 - 80–90% of enterprise data is "dark" and untouched12:59 - What BigQuery actually does (explained simply)14:50 - The invisible work: knowledge layers and business semantics17:38 - The agentic AI moment: agents that think, plan, and execute20:41 - From 50 to 2,000 autonomous agents inside enterprises22:07 - Why you can't evaluate AI agents like traditional software25:46 - Signals of AI readiness: Google's 50% AI-written code and Honeywell's 30% efficiency gains30:21 - Why 95% of AI pilots produce zero ROI35:37 - Governance as a speed accelerator, not a brake39:53 - Who's best poised to win: culture over budget45:59 - Why do you do what you do?Yasmeen's Socials:LinkedIn — https://www.linkedin.com/in/yasmeenahmaduk/Partner LinksBook Enterprise Training — https://www.upscaile.com/Subscribe to our free newsletter — https://www.theaireport.ai/subscribe

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 CoveredWhat the "Agentic Brain" is and how it differs from traditional chatbots and copilotsWhy the agentic AI market is projected to grow from $7.8 billion to $52 billion by 2030How multi-agent systems work: planning, reasoning, tool use, and memoryWhy only 14% of companies have production-ready agentic solutions despite massive investmentThe concept of "bounded autonomy" and why it matters for enterprise deploymentsHow some companies are already using AI agents to handle 80% of customer service autonomouslyWhy multi-agent system inquiries surged 1,445% in one yearGartner's prediction that 40% of enterprise apps will embed AI agents by end of 2026The difference between real agentic AI and hype — how to tell what's actually production-readyWhat executives and operators need to know before deploying AI agents in their organizationsEpisode Timestamps00:00 - Introduction and meet the Agentic Brain team00:39 - Today's agenda: three practical AI agents01:09 - Agent 1: Personalized learning agent03:05 - How the learning agent works09:25 - Live demo: testing the learning agent16:50 - Future of personalized learning with AI24:51 - Agent 2: Sales analysis agent28:31 - Demo: Sales performance dashboard32:41 - Call quality and feedback analysis46:18 - Real-world impact: proactive team management49:26 - Agent 3: Customer service agent50:52 - Multi-agent systems and scaling78:55 - Closing remarks and thanksPartner LinksWork with Agentic Brain — https://cal.com/forms/44f75adf-4741-4c5e-88d5-3249592ada99Book Enterprise Training — https://www.upscaile.com/Subscribe to our free newsletter — https://www.theaireport.ai/subscribe

This week on AI News in 5: OpenAI kills Sora just six months after launch — blindsiding Disney and losing a billion-dollar deal. Amazon drops $50 billion on OpenAI, putting Microsoft on the warpath. Apple dumps OpenAI and partners with Google to rebuild Siri. OpenClaw becomes the fastest-growing open-source project in history. And a hacker infects a popular AI tool downloaded 3.4 million times a day.Subscribe to our free newsletter — https://www.theaireport.ai/subscribeAI training for your team — https://www.upscaile.com/Connect with Liam — https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/Get free AI resources: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTHAbout The AI Why with Liam Lawson:The AI Why breaks down what's actually happening in AI — who's building it, how it's being implemented at scale, and why the people building it do what they do. New episodes every Tuesday (AI News in 5) and Thursday (founder and exec interviews).

In this episode, Brian Alvey, CTO of WordPress VIP (Automattic's enterprise platform), reveals how the platform powering NASA, CBS, NBCUniversal, Rolling Stone, Samsung, and the White House is integrating AI into enterprise publishing at massive scale. Brian shares how he's built over 24 content management platforms throughout his career — and why the current AI moment is the most transformative shift he's ever seen in publishing technology.Brian breaks down how WordPress VIP is embedding AI into tools like Parse.ly to give editors conversational content insights, how their AI-powered "editorial recipes" turn hours of manual headline testing and cross-linking into minutes, and how a new tool called Tollbit lets publishers actually charge AI crawlers for accessing their content. He also shares his philosophy on keeping humans in the loop at enterprise scale, how 200-person newsrooms and 11,000-contributor content teams are navigating AI adoption, and why the open web matters more than ever when everyone's fighting for attention in an AI-first world.Key Topics CoveredHow WordPress VIP powers mission-critical content for NASA, CBS, the White House, and hundreds of enterprise brandsBrian's journey building 24+ content management platforms and what he's learned about great CMS architectureHow WordPress VIP takes open-source WordPress and locks it down with enterprise governance for massive newsroomsThe AI tools WordPress VIP is building: conversational analytics, headline testing, engagement optimization, and automated cross-linkingHow Tollbit lets publishers charge AI companies for crawling their content — a new revenue stream for mediaWhat "human in the loop" actually means when you're managing 11,000 contributorsThe Agentforce integration with Salesforce: bringing AI-powered chat and lead generation directly into WordPress sitesWhy the open web still matters in the age of AI and how publishers are fighting backHow enterprise publishing teams are adopting AI without sacrificing editorial qualityBrian's honest take on where AI helps editors vs. where it still falls shortEpisode Timestamps00:00 - Introduction and welcome00:35 - Brian's career building publishing platforms before Google existed03:22 - AI as an equalizing paradigm shift07:20 - Generalist superpower: bridging art and science09:46 - Human skills vs AI: lessons from The Founder13:36 - Career advice for his kids in the AI era16:01 - WordPress VIP and enterprise publishing at scale18:28 - Core mission: speed and stability without breaking things23:06 - AI content intelligence tools and MCP adapters28:39 - Media business fundamentals: attention and monetization35:27 - Customer segments and AI crawler strategies40:12 - Trust and credibility in the AI-generated content era44:25 - From competing against WordPress to leading it48:15 - Obsession with automation and future of work51:51 - Building products in days with AI tools like Claude56:47 - What truly drives him58:40 - Closing and where to find BrianBrian's Socials:LinkedIn — https://www.linkedin.com/in/brianalvey/Website — https://brianalvey.comPartner LinksBook Enterprise Training — https://www.upscaile.com/Subscribe to our free newsletter — https://www.theaireport.ai/subscribe

Apple confirms Google Gemini will power the new Siri — dropping OpenAI as the default on a billion devices. GPT-5.4 Thinking becomes the first AI to beat the human baseline at navigating a computer. Yann LeCun raises $1.03B in the largest seed round in European history to build a new kind of AI. Robotics companies pull in $1.2B in a single week. And the U.S. Department of Energy puts $293M behind AI for national challenges.Partner LinksBook Enterprise AI Training — https://www.upscaile.com/Subscribe to our free newsletter — https://www.theaireport.ai/subscribeGet our free AI resource pack — https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTHConnect with Liam — https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/About The AI Why:The AI Why breaks down what's actually happening in AI — who's building it, how it's being deployed, and why the people building it do what they do. New episodes every Tuesday (AI News in 5) and Thursday (founder and exec interviews).

In this episode, Michael J. Domanic, VP and Head of AI at UserTesting, reveals how he drove 70%+ weekly AI adoption across the entire company — turning UserTesting into one of the most AI-mature enterprises in the market. Michael shares why most enterprise AI rollouts fail, and the exact playbook he used to get hundreds of employees building custom GPTs and integrating AI into their daily workflows.Michael breaks down how UserTesting moved from Phase 1 (culture change and grassroots adoption) to Phase 2 (agent orchestration and scaled automation), how he built the governance frameworks that let teams experiment safely without creating chaos, and why the companies that treat AI adoption as a culture problem — not a technology problem — are the ones winning. He also shares his honest take on why AI projects consistently miss expectations and what leaders need to do differently in 2026.Key Topics Covered- How UserTesting achieved 70%+ weekly AI adoption across the entire organization- Why most enterprise AI projects fail to meet expectations — and the root causes leaders miss- How employees built hundreds of custom GPTs for internal workflows without a top-down mandate- The Phase 1 to Phase 2 transition: from culture change to agent orchestration- Building AI governance frameworks that enable experimentation without creating risk- Why treating AI adoption as a culture problem (not a tech problem) is the key to success- How to get executive buy-in for enterprise-wide AI transformation- What "AI maturity" actually looks like inside a real company- Michael's predictions for how agentic AI will reshape enterprise operations- The skills leaders need to drive AI adoption in their organizations*Episode Timestamps*00:00 - Introduction and welcome01:31 - Michael's career background and life journey08:08 - Why AI transformation is about creativity, not technology10:43 - Hiring the right AI transformation leaders14:07 - Building Centers of Excellence for AI17:36 - What UserTesting does and Michael's role32:55 - Achieving 70%+ AI adoption across the company35:41 - How employees built hundreds of custom GPTs39:16 - OKR methodology and governance frameworks43:50 - Creativity as the fundamental skill for future work48:39 - Phase 2: Agent orchestration and advanced AI56:46 - Outlook: Optimism about AI's future impact59:27 - Closing: How honest conversations drive progressMichael's Socials:LinkedIn — https://www.linkedin.com/in/michaeldomanic/Partner LinksBook Enterprise Training — https://www.upscaile.com/Subscribe to our free newsletter — https://newsletter.theaireport.ai/subscribe

This week: OpenAI's Pentagon deal sparked the #QuitGPT movement with 2.5 million supporters, Anthropic got labeled a supply-chain risk by the DOD, AI-driven layoffs hit Oracle and Block hard, NVIDIA teased its biggest GTC yet, and Apple revealed a $599 AI laptop.Key Topics CoveredOpenAI's classified Pentagon deal sparks #QuitGPT revolt with 2.5M supporters and 295% surge in ChatGPT uninstallsPentagon labels Anthropic a supply-chain risk; OpenAI and Google employees rally behind Anthropic in courtOracle eyes 30,000 layoffs and Block cuts 40% of workforce as AI replaces jobs at scaleNVIDIA GTC 2026 preview: $26B open-source investment, new inference chip, and enterprise AI platform expectedApple announces rebuilt Siri with Google Gemini and the $599 MacBook Neo AI laptopEpisode Timestamps00:00 — OpenAI's Pentagon Deal and the #QuitGPT Revolt01:00 — Pentagon vs. Anthropic: The Supply-Chain Risk Showdown02:00 — AI Layoffs Hit Oracle, Block, and Atlassian03:00 — NVIDIA GTC 2026: The Super Bowl of AI04:00 — Apple's Mass-Market AI PlayAbout The AI WhyThe AI Why with Liam Lawson covers enterprise AI — how it's being implemented at scale, and why the people building it do what they do. New episodes every Tuesday (weekly news in 5 minutes) and Thursday (hour-long interviews with founders and C-suite execs).Our LinksFree Newsletter — https://newsletter.theaireport.ai/subscribeWebsite — https://www.theaireport.aiLiam's LinkedIn — https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/Book Enterprise Training — https://www.upscaile.com/

How Coursera's VP of Enterprise Is Reskilling 7,000+ Organizations with AI — Anthony Salcito on the 234% GenAI Enrollment Surge, Verified Skills Paths, and the Human Side of AI TransformationAnthony Salcito is the Vice President of Enterprise at Coursera, where he leads a $255.3 million enterprise business partnering with over 7,000 organizations globally. In this episode, Anthony breaks down why GenAI enrollments on Coursera have surged 234% year over year, why 84% of leaders plan to increase AI investment while only 38% say their teams are ready, and what it actually takes to build AI skills that stick inside an organization.From his 20+ years leading Microsoft's global education efforts to his work at Nerdy and Varsity Tutors, Anthony shares his framework for human-first AI transformation. He explains how Coursera is using AI-powered coaching, role play simulations, verified skills paths, and Course Builder to close the enterprise AI skills gap — and why critical thinking, not just prompt engineering, is the skill that matters most.Key Topics Covered:The 234% year-over-year surge in GenAI enrollments on Coursera and what is driving global demandWhy 84% of leaders plan to increase AI investment but only 38% say their teams are readyCoursera's verified skills paths and how they provide stackable, demonstrable AI credentialsThe role of AI-powered Coach in improving course completion — 94% report improved experience, 9.5% higher quiz pass rateHow Course Builder lets enterprises customize world-class AI content from Google, Anthropic, and Microsoft for their specific business contextWhy critical thinking enrollments grew 185% alongside technical AI skillsThe four phases of technology adoption: displacement fear, skills erosion, complacency, and true transformationHow gamification and role play simulations make enterprise AI learning stickCoursera's integration with ChatGPT and the future of learning in the flow of workWhy the shift from "4 years for 40 years" to "40 for 4" demands lifelong micro-credentialingEpisode Timestamps:00:00 - Introduction and Anthony Salcito's background01:42 - Growing up in the Bronx and how technology became a catalyst04:10 - Teaching Girl Scouts Visual Basic in 1995 and the education spark06:18 - The through line from Microsoft to Nerdy to Coursera Enterprise08:24 - Walking into Coursera's $239M enterprise business — what surprised him11:22 - 234% GenAI enrollment growth and 15 enrollments per minute13:57 - Verified skills paths and proving AI competency beyond course completions16:19 - Why critical thinking grew 185% and how schools need to change20:41 - Hard skills vs. soft skills and the competency-based education gap23:58 - What makes AI learning stick: personalization, mixed modality, and Coach27:40 - Coach results: 94% improved experience and the power of gamification31:55 - Live role play: pitching AI reskilling to a 1,000-person construction company36:24 - The four phases of technology adoption and why complacency is the biggest threat40:25 - Human-first AI transformation and why people-centric companies win43:39 - How Coursera keeps up with fast-moving AI content creators46:20 - The 3-5 year vision: micro-credentials, learning in the flow of work, and ChatGPT integration50:55 - Why Anthony does what he doesAbout Anthony SalcitoAnthony Salcito is the Vice President of Enterprise at Coursera, where he leads the company's enterprise business serving over 7,000 organizations worldwide. Before joining Coursera, Anthony spent 20+ years at Microsoft leading global education efforts, visiting over 80 countries and nearly 3,000 classrooms. He also served in leadership roles at Nerdy and Varsity Tutors and chairs the nonprofit Network for Teaching Entrepreneurship.

Stripe Solves AI Billing, Nvidia's $30B OpenAI Exit, GPT 5.4 Launches with Computer Use, and OpenAI's Safety ReckoningThis week on AI News in 5 by The AI Report, Liam Lawson breaks down four major stories reshaping the AI industry. From Stripe's new billing infrastructure for AI companies to Nvidia's $30 billion investment in OpenAI that may be its last, GPT 5.4 beating 83% of industry professionals, and OpenAI facing a safety crisis after failing to alert law enforcement about a dangerous user.These stories signal a shift in how AI companies monetize products, how the biggest AI labs will fund themselves through public markets, and what safety obligations come with deploying AI at scale. Whether you are building AI products, investing in the space, or deploying enterprise AI, this episode covers the developments you need to know.Key Topics CoveredStripe's new AI billing feature that passes through LLM token costs to customers with automatic markupHow Stripe's tool integrates with third-party gateways like Vercel and OpenRouterNvidia's $30 billion investment in OpenAI as part of the $110 billion funding roundWhy Jensen Huang says the private mega-deal era for AI labs is endingOpenAI's $730 billion valuation and the path to IPO alongside AnthropicGPT 5.4's native computer use capabilities and 1 million token context windowGPT 5.4 benchmark results showing 83% outperformance versus industry professionals33% reduction in factual errors and 47% token savings in tool-heavy workflowsOpenAI's safety crisis after flagging a dangerous user but never contacting law enforcementSam Altman's pledge to overhaul safety protocols including a direct contact line for Canadian policeEpisode Timestamps00:00 - Introduction to AI News in 501:08 - Stripe solves AI's biggest billing problem02:12 - How 30% automated markup works for agentic workflows02:40 - Why unpredictable token costs threaten AI margins03:17 - Stripe launches its own multi-model gateway03:49 - Nvidia's $30 billion OpenAI investment may be its last04:32 - OpenAI and Anthropic gear up for IPOs04:57 - Inside OpenAI's $110 billion funding round and $730 billion valuation05:57 - GPT 5.4 launches with native computer use06:54 - GPT 5.4 benchmarks crush 83% of industry professionals08:55 - OpenAI flagged a dangerous user but never called police09:46 - Sam Altman pledges safety protocol overhaul10:34 - When does a safety flag become a legal obligationResources MentionedStripe AI billing and cost pass-through featureVercel and OpenRouter third-party gateway integrationsNvidia Vera Rubin inference and training systemsOpenAI GPT 5.4 with native computer useChatGPT, Codex, and OpenAI APIChatGPT for Excel add-onMorgan Stanley conference (Jensen Huang keynote)Partner LinksBook Enterprise Training — https://www.upscaile.com/Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube#AINews #GPT5 #OpenAI #Nvidia #Stripe #AIBilling #JensenHuang #SamAltman #EnterpriseAI #AISafety #AIAgents #ComputerUse #LLM #AIInfrastructure #TokenCosts

In this episode, Christian Lund, Co-Founder of Templafy, reveals how the company built an AI-powered instruction and orchestration layer that helps over 800 enterprise customers — including KPMG, IKEA, and BDO — generate millions of compliant, on-brand business documents 100x faster. Christian shares why the real defensibility in AI isn't the model itself, but the mid-layer that tells the model exactly what to do. Christian breaks down how Templafy turns a simple 8-word user prompt into a 30-page AI instruction book, how their orchestration layer ensures consistent, high-quality outputs across millions of documents, and why enterprises that tried to build AI solutions internally ended up coming back to purpose-built tools. He also shares his honest take on whether AI is a force for good, what skills knowledge workers need to survive, and what he's teaching his three kids about working in an AI-first world. Key Topics Covered - How Templafy's AI instruction layer turns 8-word prompts into 30-page agent briefs - Why the orchestration mid-layer between users and AI models is the most defensible position in enterprise tech - How a Big Four accounting firm became Templafy's very first customer - The transition from rules-based automation to AI-first document generation with agents - Why enterprises took surprisingly long to move from AI toys to enterprise-grade tools - How Templafy integrates with Microsoft 365, Salesforce, and Copilot without getting swallowed by the SaaSpocalypse - The only 2 skills knowledge workers need to stay relevant: setting direction and validating output - Why brand and thought leadership are more important than ever for SaaS companies in 2026 - How BDO Canada saved $1.65 million in one year using Templafy's document automation - Christian's investor perspective on VC moonshots vs. real businesses that generate EBITDA **Episode Timestamps** 00:00 - Introduction and what problem Templafy solves 02:01 - The origin story: from consultants with no product to enterprise SaaS 04:18 - Why finance, law, and pharma became the core customer segment 05:41 - How a Big Four firm became the first customer during the cloud transition 09:02 - What makes a company good at adopting new technology 11:00 - How Templafy sits on top of Microsoft 365, Salesforce, and Copilot 11:37 - Surviving the SaaSpocalypse and finding the new world order 17:08 - Growth in the AI era and why enterprise demand took longer than expected 21:16 - Inside the boardroom: where Templafy fits in the AI landscape 23:31 - The recipe vs. cookbook analogy: how instruction books power AI agents 28:38 - How to become defensible when every company has the same AI models 31:58 - Why humans are more important than ever in enterprise sales 35:11 - The only 2 skills left for knowledge workers 35:52 - Educating children in the age of AI 40:01 - Christian's journey from CEO to CPO to CMO to co-founder 41:17 - Why brand and trust are hyper important in 2026 45:11 - B2B vs. B2C: Templafy's enterprise focus and how it compares to Gamma 49:21 - Christian evaluates the podcast's business model as an investor 54:57 - Is AI a force for good? Christian's honest answer 57:32 - Why do you do what you do? Christian's Socials: LinkedIn — https://www.linkedin.com/in/christianlundcph/ Partner Links Book Enterprise Training — https://www.upscaile.com/ Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube