『The AI Why with Liam Lawson』のカバーアート

The AI Why with Liam Lawson

The AI Why with Liam Lawson

著者: Liam Lawson
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概要

We’re the team behind The AI Report — the #1 AI newsletter for 400,000+ business leaders at Google, Microsoft, OpenAI, and more. Each week, we cut through the noise with expert conversations on how AI is transforming business. Expect deep dives into real-world use cases, practical strategies for leaders, and insights you won’t find anywhere else. If you want to understand AI in a way that drives results for your team, company, and career — you’re in the right place. 👉 Subscribe now and join 400,000+ professionals mastering AI in business. theaireport.ai/subscribe-theaireport-spotifyLiam Lawson
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  • How Coursera Is Reskilling 7,000 Companies on AI — From the VP Leading It (Anthony Salcito)
    2026/03/11

    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 Transformation

    Anthony Salcito is the Vice President of Enterprise at Coursera, where he leads a $239 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 demand
    • Why 84% of leaders plan to increase AI investment but only 38% say their teams are ready
    • Coursera's verified skills paths and how they provide stackable, demonstrable AI credentials
    • The role of AI-powered Coach in improving course completion — 94% report improved experience, 9.5% higher quiz pass rate
    • How Course Builder lets enterprises customize world-class AI content from Google, Anthropic, and Microsoft for their specific business context
    • Why critical thinking enrollments grew 185% alongside technical AI skills
    • The four phases of technology adoption: displacement fear, skills erosion, complacency, and true transformation
    • How gamification and role play simulations make enterprise AI learning stick
    • Coursera's integration with ChatGPT and the future of learning in the flow of work
    • Why the shift from "4 years for 40 years" to "40 for 4" demands lifelong micro-credentialing

    Episode Timestamps:

    00:00 - Introduction and Anthony Salcito's background

    01:42 - Growing up in the Bronx and how technology became a catalyst

    04:10 - Teaching Girl Scouts Visual Basic in 1995 and the education spark

    06:18 - The through line from Microsoft to Nerdy to Coursera Enterprise

    08:24 - Walking into Coursera's $239M enterprise business — what surprised him

    11:22 - 234% GenAI enrollment growth and 15 enrollments per minute

    13:57 - Verified skills paths and proving AI competency beyond course completions

    16:19 - Why critical thinking grew 185% and how schools need to change

    20:41 - Hard skills vs. soft skills and the competency-based education gap

    23:58 - What makes AI learning stick: personalization, mixed modality, and Coach

    27:40 - Coach results: 94% improved experience and the power of gamification

    31:55 - Live role play: pitching AI reskilling to a 1,000-person construction company

    36:24 - The four phases of technology adoption and why complacency is the biggest threat

    40:25 - Human-first AI transformation and why people-centric companies win

    43:39 - How Coursera keeps up with fast-moving AI content creators

    46:20 - The 3-5 year vision: micro-credentials, learning in the flow of work, and ChatGPT integration

    50:55 - Why Anthony does what he does

    About Anthony Salcito

    Anthony 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.

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    55 分
  • GPT 5.4 Beats 83% of Professionals + Nvidia's $30B Exit | AI News in 5
    2026/03/10

    Stripe Solves AI Billing, Nvidia's $30B OpenAI Exit, GPT 5.4 Launches with Computer Use, and OpenAI's Safety Reckoning

    This 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 Covered

    • Stripe's new AI billing feature that passes through LLM token costs to customers with automatic markup
    • How Stripe's tool integrates with third-party gateways like Vercel and OpenRouter
    • Nvidia's $30 billion investment in OpenAI as part of the $110 billion funding round
    • Why Jensen Huang says the private mega-deal era for AI labs is ending
    • OpenAI's $730 billion valuation and the path to IPO alongside Anthropic
    • GPT 5.4's native computer use capabilities and 1 million token context window
    • GPT 5.4 benchmark results showing 83% outperformance versus industry professionals
    • 33% reduction in factual errors and 47% token savings in tool-heavy workflows
    • OpenAI's safety crisis after flagging a dangerous user but never contacting law enforcement
    • Sam Altman's pledge to overhaul safety protocols including a direct contact line for Canadian police

    Episode Timestamps

    00:00 - Introduction to AI News in 5

    01:08 - Stripe solves AI's biggest billing problem

    02:12 - How 30% automated markup works for agentic workflows

    02:40 - Why unpredictable token costs threaten AI margins

    03:17 - Stripe launches its own multi-model gateway

    03:49 - Nvidia's $30 billion OpenAI investment may be its last

    04:32 - OpenAI and Anthropic gear up for IPOs

    04:57 - Inside OpenAI's $110 billion funding round and $730 billion valuation

    05:57 - GPT 5.4 launches with native computer use

    06:54 - GPT 5.4 benchmarks crush 83% of industry professionals

    08:55 - OpenAI flagged a dangerous user but never called police

    09:46 - Sam Altman pledges safety protocol overhaul

    10:34 - When does a safety flag become a legal obligation

    Resources Mentioned

    • Stripe AI billing and cost pass-through feature
    • Vercel and OpenRouter third-party gateway integrations
    • Nvidia Vera Rubin inference and training systems
    • OpenAI GPT 5.4 with native computer use
    • ChatGPT, Codex, and OpenAI API
    • ChatGPT for Excel add-on
    • Morgan Stanley conference (Jensen Huang keynote)

    Partner Links

    Book 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

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    5 分
  • How to Build AI Software That Won't Be Dead in 2 Years | Christian Lund, Templafy
    2026/03/05

    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

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    58 分
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