Academic guide
🎓 Leading AI Academics & Their Lens
| Rank | Professor | University / Institution | Academic Role | Core AI / Strategy Lens | School of Thought |
|---|---|---|---|---|---|
| 🥇 | Erik Brynjolfsson | Stanford University | Professor & Senior Fellow; Director, Stanford Digital Economy Lab | Productivity, economics of technology, AI adoption, the productivity J-curve | The Economics of AI |
| 🥈 | Andrew Ng | Stanford University | Adjunct Professor, Computer Science | Practical AI adoption, organizational transformation, building AI capabilities | The AI Transformation Playbook |
| 🥉 | Ethan Mollick | The Wharton School | Associate Professor of Management; AI Labs leader | AI + work, human collaboration, organizations, experimentation | The Human–AI Organization |
| 🏅 | Ajay Agrawal | University of Toronto — Rotman School of Management | Professor & Geoffrey Taber Chair | Economics of AI, prediction, decision-making, business value | AI as Prediction |
| 🏅 | George Westerman | MIT Sloan School of Management | Senior Lecturer & Principal Research Scientist | Digital transformation, enterprise leadership, AI strategy | The AI Enterprise |
| 🏅 | Vijay Govindarajan | Tuck School of Business at Dartmouth | Coxe Distinguished Professor of Management | Innovation, strategic transformation, reinvention | Strategic Transformation |
| ⚔️ | Naveen Bhansali | More practitioner / executive-education oriented than a single flagship university identity | AI strategy educator & practitioner | AI strategy, leadership, executive decision-making, enterprise adoption | AI Strategy for Leaders |
Curated watch list
These ten conversations capture the full spectrum of AI today — from boardroom strategy and enterprise adoption to science, infrastructure and the future of work. Each entry includes a one-line lesson you can take back to your team.
🎬 10 AI Conversations Everyone Should Watch
| Video | What it teaches |
|---|---|
| 🧭 Jamie Dimon | Why you cannot ignore AI |
| ⚙️ Microsoft adoption | How AI adoption actually happens |
| 🏢 Satya Nadella | How knowledge work changes |
| 🚀 Jensen Huang | Why AI is infrastructure |
| 🔬 Demis Hassabis | Where AI technology is heading |
| 💼 Sam Altman | AI & the future of work |
| 🧬 Dario Amodei | AI & scientific acceleration |
| 🇮🇳 India AI Summit | India's AI opportunity |
| 🏭 Marico | Enterprise AI in practice |
| 🌍 Davos AI conversations | The geopolitical/economic picture |
Jamie Dimon — Full WEF 2026 Interview
The business-leader wake-up call. Dimon is unusually blunt: AI is going to affect jobs and organizations, whether leaders are comfortable with it or not.
Lesson: AI adoption is no longer optional risk management.
Microsoft — Path to Adopting & Scaling AI Across Sales
This moves beyond “AI is amazing” into change management, adoption and operating model. Microsoft's own experience shows daily active AI usage in its sales organization reaching more than 60%, with monthly active usage above 98% after two years of transformation.
Lesson: The hard part isn't buying Copilot. It's changing behavior.
Satya Nadella — AI, Knowledge Work & Future of Work
Nadella is excellent for understanding AI as a transformation of knowledge work, rather than merely another technology cycle.
Lesson: AI changes how organizations produce intelligence.
Jensen Huang — AI Infrastructure Revolution
You need one video that makes people understand why NVIDIA became so important and why AI isn't simply “software.” Huang's recent discussions increasingly frame AI as an infrastructure transformation involving compute, models, agents and eventually robotics.
Lesson: AI is becoming an industrial infrastructure layer.
Demis Hassabis — Where AI is Actually Going
Hassabis gives you the scientific/technology horizon: reasoning, agents, science, medicine and AGI. He has also been refreshingly candid about the AI investment cycle, warning that parts of the market look “bubble-like” even while he remains extremely bullish on the underlying technology.
Lesson: Separate the AI technology curve from the AI investment hype.
Sam Altman — AI and the Future of Work
Watch this for the labor-market perspective. The interesting question isn't simply “Will AI replace jobs?” but: What happens when the cost of cognitive work collapses? That question is much more strategically important.
Lesson: The cost of cognitive work is about to collapse.
Dario Amodei — AI, Science & the Enormous Upside
Amodei provides the counterweight to the purely productivity-focused narrative. He has argued that AI needs to deliver tangible scientific and societal breakthroughs to earn public trust.
Lesson: The ultimate AI story may be scientific acceleration, not chatbots.
India AI Impact Summit
This one gives learners an India-specific view of the global AI race, with leaders including Sundar Pichai, Sam Altman, Demis Hassabis, Dario Amodei, Shantanu Narayen and others discussing AI's trajectory and India's role.
Lesson: AI isn't just a Silicon Valley story — India is becoming strategically important.
Marico CIO — AI Adoption & Enterprise Impact Interview
This is a fantastic enterprise AI case study because it isn't another Big Tech CEO talking about AGI. Marico's Chief Information & Digital Technology Officer discusses moving from AI experimentation toward tangible enterprise impact, responsible AI, data foundations and workforce readiness.
Lesson: Enterprise AI = technology + data + people + operating model.
Davos 2026 AI Compilation
Rather than one personality, a good Davos AI compilation gives you Dimon vs Huang vs Hassabis vs Nadella vs other global leaders. The fascinating thing about Davos 2026 was that the debate had moved from “Is AI real?” to “How fast should we deploy it, who benefits, who loses, and how do organizations capture the value?”
Lesson: The AI debate has moved from technology to economics, society and strategy.
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