Using AI at Work: AI in the Workplace & Generative AI for Business Leaders
On "Using AI at Work", your host Chris Daigle and his expert guests help business leaders, executives, and teams who want to turn artificial intelligence into a real competitive advantage. Each episode shares real-world AI applications and AI transformation stories from companies successfully using AI in the workplace to improve productivity, decision-making, and operations.
You’ll hear from Chief AI Officers, innovators, and forward-thinking executives who are putting generative AI at work, from AI productivity tools and AI-powered workflows to non-technical AI training and workplace AI adoption strategies.
We cover:
- AI for business leaders – how executives use AI to lead change and drive ROI
- Generative AI tools – practical, easy-to-implement solutions for teams
- AI automation in business – streamline operations without massive tech budgets
- Executive AI education – upskilling leaders and managers for the AI era
- Real-world AI case studies – lessons learned from successful AI implementation
- AI in operations management – optimizing processes and reducing costs
- Ethical AI in business – navigating responsible and effective AI use
Whether you’re exploring AI adoption, leading AI-powered transformation, or looking for AI implementation guides, this podcast delivers a clear, non-technical roadmap to succeed in the AI-driven economy.
New episodes weekly.
Start learning how to put AI to work in your business today.
Using AI at Work: AI in the Workplace & Generative AI for Business Leaders
94: Using AI vs Human Intelligence: When Should Leaders Trust Machines with Vasant Dhar
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The real challenge with AI is not the technology, it is knowing when leaders should trust the machine and when they should not.
In this episode Chris sits down with Vasant Dhar, professor at NYU Stern and the NYU Center for Data Science, longtime AI practitioner, and author of Thinking with Machines: The Brave New World of AI. With more than four decades working in artificial intelligence across finance, healthcare, and research, Dhar shares a practical framework for deciding when leaders should trust AI and when human oversight still matters. His “trust map” evaluates two variables: how often the system is wrong and the consequences of its errors.
The conversation also tackles why so many AI pilots fail, why fear rather than greed is driving AI adoption in many organizations, and how leaders should prioritize their first AI initiatives. Dhar explains why deep domain knowledge becomes even more valuable in the AI era, why executives must understand their data before deploying AI, and why the future belongs to people who learn to think with machines rather than simply ask them for answers. Leaders who want a clearer way to evaluate AI opportunities and avoid costly missteps will find this discussion well worth their time.
Chapters
00:00 Introduction
03:23 The Origin of the “Trust AI” Question
05:14 The Trust Framework: Predictability vs Cost of Error
07:01 Crossing the Automation Frontier
09:07 The Three Barriers Holding Leaders Back from AI
11:51 Why 95% of AI Projects Fail
14:39 How Leaders Should Choose Their First AI Projects
19:17 Fear vs Greed in Today’s AI Adoption
25:20 Why Leaders Should “Think Slowly” About AI Strategy
44:16 The Bifurcation of Humanity in the Age of AI
🔎 Find Out More About Vasant Dhar
Website:
Book: Thinking with Machines: The Brave New World of AI
Podcast: Brave New World
Substack Newsletter:
https://vasantdhar.substack.com
🛠 AI Tools and Resources Mentioned
ChatGPT
https://chat.openai.com
Claude
https://claude.ai
Grok
https://x.ai
Chief AI Officer (Sponsor)
https://chiefaiofficer.com
Using AI at Work
https://usingaiatwork.com
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