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.

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)

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#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

OpenAI just raised $110 billion — the largest funding round in Silicon Valley history. Meanwhile, the Pentagon is threatening to blacklist Anthropic over AI safety limits. This is the biggest week in AI news — here's everything you need to know.In this episode of The AI Report Podcast, we break down the 5 biggest AI stories from the week of February 23–27, 2026:🏛️ Pentagon vs. Anthropic — Defense Secretary Hegseth demands Anthropic remove safety guardrails from Claude or face a $200M contract cancellation and federal blacklisting💻 Perplexity Computer — A new AI agent system that orchestrates 19 models to execute complex tasks end-to-end📱 Samsung Galaxy S26 — Samsung's most AI-forward phone yet, featuring proactive AI nudges and built-in agents from Bixby, Gemini, and Perplexity🤝 Meta x AMD $60B Deal — Meta diversifies away from Nvidia with a massive 6-gigawatt AI chip agreement💰 OpenAI's $110B Round — SoftBank, Nvidia, and Amazon back the largest private funding round ever⏱️ Timestamps:0:00 – Introduction0:15 – Pentagon threatens to blacklist Anthropic1:20 – Perplexity launches Computer2:25 – Samsung unveils Galaxy S26 AI features3:30 – Meta and AMD sign $60 billion chip deal4:35 – OpenAI raises $110 billion5:40 – Closing📩 Subscribe to The AI Report newsletter for daily AI news: https://newsletter.theaireport.ai/subscribeGet Enterprise Training — upscaile.com

Upscaile Partnered with Stanford to Teach a 90-Minute AI for Creativity Masterclass — From Prompting Fundamentals to Full AI Short Film ProductionIn this full Stanford class recording, Arturo Ferreira walks students through the complete creative AI workflow — from foundational prompting techniques to producing a short sci-fi film using only AI tools. The session covers everything from how tokenization and probability engines actually work to building consistent characters and visual styles across an entire production.Arturo demonstrates how he created a multi-character, fully narrated sci-fi short film in just 48 hours using ChatGPT, Sora, Runway ML, 11 Labs, and Final Cut Pro. Students follow along with hands-on exercises, learning the exact prompting frameworks used to go from basic one-line prompts to production-quality AI video output.Key Topics CoveredThe difference between artificial intelligence, machine learning, deep learning, and generative AIWhy AI is a probability engine, not a thinking machine, and why that matters for promptingThree pillars of effective prompting: clarity, context, and specificityHow tokenization works (word-based, character-based, and phrase-based)Using temperature settings to control AI creativity and determinismHashtag prompting technique to create signposts and organize complex promptsRetrieval Augmented Generation (RAG) for uploading references and refining outputTree of Thought technique for generating multiple creative options simultaneouslyCharacter Lock, Style Lock, and Camera Controls for visual consistency across scenesBuilding a complete AI short film workflow from storyboard to final edit in 48 hoursEpisode Timestamps00:00 - Introduction and course overview at Stanford04:18 - How smart is AI? Why AI is fast, not smart06:20 - Tokenization explained: word-based, character-based, phrase-based07:40 - Hallucinations are a feature, not a bug09:59 - Three pillars of prompting: clarity, context, specificity16:41 - Temperature settings for controlling AI creativity21:46 - Retrieval Augmented Generation (RAG) explained27:00 - Hashtag prompting technique for advanced prompt organization32:52 - Tree of Thought technique for multiple creative solutions38:23 - Hands-on with Sora: creating AI video from prompts52:56 - Hashtag prompting vs basic prompting: side-by-side video comparison1:02:37 - Full AI short film reveal: 48-hour sci-fi production1:05:15 - Character Lock, Style Lock, and Camera Controls1:18:46 - Runway ML workflow for reference-shot-to-video production1:19:31 - Using 11 Labs for AI audio and sound effects1:23:09 - System prompts, custom instructions, and persistent memoryAbout Liam LawsonArturo Ferriera is an AI educator and creative technologist who teaches enterprise-level AI training and creative AI workshops. He partnered with Stanford to deliver this masterclass on AI for creativity, covering prompting fundamentals through advanced AI filmmaking techniques. Liam specializes in making generative AI accessible for creative professionals at all skill levels.About UpscaileUpscaile delivers enterprise AI training designed to help teams integrate generative AI into their creative and professional workflows. The company partners with leading institutions like Stanford to provide hands-on AI education that bridges the gap between technical capability and practical creative application.Resources MentionedChatGPT (OpenAI)Sora by OpenAIRunway ML11 LabsFinal Cut Pro / iMovie / Adobe PremiereTree of Thought and Chain of Thought prompting techniquesRetrieval Augmented Generation (RAG)Partner LinksBook Enterprise Training — https://www.upscaile.com/Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube#AIFilmmaking #StanfordAI #GenerativeAI #AIforCreatives #PromptEngineering #ChatGPT #Sora #RunwayML #ElevenLabs #AIVideo #AICreativity #AITools #AITraining #Upscaile #ContentCreation

In this episode, Peter Swartz, Co-Founder and Chief Science Officer at Altana, reveals how the company's AI-powered supply chain knowledge graph has helped stop hundreds of millions of dollars in forced labor goods from crossing borders and contributed to some of the largest counter-narcotics seizures in investigators' careers. Peter shares the real-world impact Altana is making across both the public and private sectors.Peter breaks down how Altana's multi-tier supply chain visibility works to trace forced labor cotton through global networks, how dual-use chemicals are being diverted into fentanyl production, and how the platform helps governments and enterprises collaborate to avoid billions of dollars in trade disruptions while saving hundreds of millions in tariff fees.Key Topics Covered- How Altana blocked hundreds of millions of dollars in forced labor goods at U.S. borders- The role of AI knowledge graphs in mapping multi-tier global supply chains- How Altana supports CBP enforcement of the Uyghur Forced Labor Prevention Act- Product passports and how they expedite legitimate goods through customs- The difference between forced labor entering legit supply chains vs. legit goods entering illicit ones- How logistics companies use Altana to prevent their networks from being misused- Proactive vs. reactive approaches to supply chain risk using probabilistic AI models- Scenario modeling for geopolitical disruptions including Taiwan and global conflicts- Saving billions in supply chain disruptions and hundreds of millions in tariff feesEpisode Timestamps00:00 - Introduction and overview of Altana's real-world impact00:41 - Understanding forced labor as a multi-tier supply chain problem03:09 - Hundreds of millions in forced labor goods stopped at borders03:45 - How the AI knowledge graph maps global supply chain connections04:15 - Working with CBP on the Uyghur Forced Labor Prevention Act04:35 - Product passports and expediting goods through customs04:51 - Counter-narcotics and the dual-use chemical problem05:45 - Helping logistics companies stop network misuse06:27 - From alert to action and the system handoff process06:49 - Responsible AI and the role of human-in-the-loop decisions07:33 - Proactive vs. reactive supply chain intelligence08:08 - Scenario modeling for geopolitical disruptions and resiliencyAbout Peter SwartzPeter Swartz is Co-Founder and Chief Science Officer at Altana. He has spoken on global trade, supply chains, and machine learning at the World Trade Organization, the World Customs Organization, the U.S. Court of International Trade, and the National Academies of Medicine. Previously, Peter was Head of Data Science at Panjiva, listed as one of Fast Company's most innovative data science companies in 2018 and later acquired by S&P Global. He holds patents in machine learning and global trade, and completed his education at Yale, MIT, and EPFL.About AltanaAltana is the world's first Value Chain Management System, providing AI-powered supply chain intelligence to governments, enterprises, and logistics providers. The platform is built on a proprietary knowledge graph comprising more than 2.8 billion shipments, tracking over 500 million companies and 850 million facilities globally. Altana covers more than 50% of global trade, making it the most comprehensive and accurate supply chain map available.Resources Mentioned- Altana Atlas platform and AI knowledge graph- U.S. Customs and Border Protection (CBP)- Uyghur Forced Labor Prevention Act (UFLPA)- Product passports for cross-border compliance- Altana's disruption and tariff scenario modeling toolsPeter's Socials:LinkedIn — https://www.linkedin.com/in/pgswartz/Partner LinksBook Enterprise Training — https://www.upscaile.com/

📢 This Week in AI: ChatGPT Ads, Data Center Freezes & Lunar FactoriesAI isn’t slowing down—it’s changing how we search, build infrastructure, and even think about space. This week: OpenAI switches on ads inside ChatGPT, U.S. states move to freeze new AI data centers, Elon Musk pitches a lunar AI satellite factory, China turns to AI to hunt corruption, and Anthropic raises a massive $30 billion war chest. ⏱️ TIMESTAMPS:[0:00] - Intro [0:15] - OpenAI Puts ADS in ChatGPT ][2:00] - States Hit Pause on AI Data Centers[3:45] - Elon Musk’s Lunar AI Factory[5:30] - China Uses AI to Catch Corrupt Officials[7:10] - Anthropic Raises $30 BILLION at $380B Valuation🎯 WHY THIS MATTERS:These aren’t just tech headlines—they’re signals about how AI business models, infrastructure, regulation, and capital flows are shifting in real time. Whether you’re planning AI deployments, managing risk, or just trying to stay ahead, understanding these moves is critical.💡 ABOUT THIS CHANNEL:AI News in 5 breaks down the week’s most important AI developments in under 5 minutes. No hype, no fear‑mongering—just clear analysis of what’s happening and why it matters to you.

📢 Trillion-Dollar Mergers, Software Selloffs & the UK's First AI Town

Anthropic drops Opus 4.6 and triggers a stock selloff, Microsoft's Copilot faces a user crisis, Musk merges SpaceX with xAI in a $1.25 trillion deal, and the UK government turns Barnsley into a tech town. 4 major AI stories in under 5 minutes.

⏱️ TIMESTAMPS:

0:00 - Intro0:15 - Anthropic Launches Claude Opus 4.61:15 - Microsoft Copilot Loses Ground to ChatGPT2:15 - Musk Merges SpaceX & xAI in $1.25T Deal3:25 - UK Names Barnsley Its First Tech Town4:30 - Wrap-up

📰 SOURCES & ARTICLES:

• Anthropic Claude Opus 4.6: https://www.anthropic.com/news/claude-opus-4-6
• Microsoft Copilot Challenges: https://www.wsj.com/tech/ai/microsofts-pivotal-ai-product-is-running-into-big-problems-ce235b28
• SpaceX-xAI Merger: https://www.cnbc.com/2026/02/03/musk-xai-spacex-biggest-merger-ever.html
• Barnsley Tech Town: https://www.gov.uk/government/news/barnsley-becomes-uks-first-government-backed-tech-town

💡 ABOUT THIS CHANNEL:

AI News in 5 breaks down the week's most important AI developments in under 5 minutes. No hype, no fear-mongering—just clear analysis of what's actually happening and why it matters to you.

🎙️ THE AI REPORT PODCASTWeekly deep-dive conversations with AI operators building the future.Subscribe for full episodes: https://www.youtube.com/@the-AI-report-with-liam-lawson/featured

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#AI #ArtificialIntelligence #OpenAI #Anthropic #Microsoft #Copilot #SpaceX #xAI #ElonMusk #TechNews #AINews #FutureOfWork #ChatGPT #Claude #WeeklyAI #TechTrends2026 #Barnsley #TechTown #UKTech