What if you pitted a world-class strategist against frontier AI – and asked them to redesign the future of white-collar work?

In this episode, I bring together Sangeet Paul Choudary (advisor to 40+ Fortune 500 CEOs; author of Reshuffle) and ChatGPT to answer a single question: How do we protect – and even upgrade – our jobs in an AI economy?

This is not another “AI tips” video. It’s a practical conversation for C-suites, R&D, strategy, innovation, and operations leaders who must make decisions amid uncertainty: talent strategy, org design, where to automate, and where human advantage compounds. Along the way we cover system-level shifts (workflows → orgs → markets), why “learn the tools” is necessary but not sufficient, and a simple rule leaders can use to spot the next high-value roles before they appear.

A surprise industry judge listens in and declares a winner at the end.

What you’ll learn (fast)

* A 1-rule playbook for surfacing new high-value work

* Where near-term value pools will emerge

* How to future-proof talent

* A leadership lens for budgeting

What if you could ask Aristotle for business advice – or get Steve Jobs’ take on your next proposal?

In this video, we explore three powerful ways AI is already transforming how companies work:

1. Talking to great thinkers – Steve Jobs imagined this in 1983. Today, you can use AI to channel the wisdom of historical or famous figures to stress-test your ideas.

2. Fixing messy documents – From contracts to supplier forms, AI can scan, flag, and clean up errors before your team even opens the file. Stacey Popham, VP of R&D at Conagra, describes this pain point.

3. Scaling into AI agents – Beyond single assistants, we show how multiple AI agents can run research, reconciliation, and reporting in parallel – hinting at the future of zero-person firms. Prof Mohan Sawhney from the Kellogg School of Management paints this future.

While fun-filled, these are practical, field-tested use cases we’ve seen work inside in every size of company.

By the end, you’ll see how to apply these methods to your own documents, processes, and workflows – and maybe even hear Aristotle weigh in on your next idea.

What happens when AI can do in 3 hours what used to take your entire team 3 weeks?

In this episode, Dino Gane-Palmer puts AI to the test. With a flight to catch and just hours on the clock, he applies a 5-step AI workflow to build a website feature that would normally require designers, developers, and endless meetings.

Alongside Raghav Toshniwal (a founder who’s been building with AI for years), Dino explores how leaders can:

• Compress weeks of work into hours
• Navigate the differences between ChatGPT, Claude, and Gemini in real-world use cases
• Think of AI not as a “helper” but as an end-to-end builder
• Avoid the biggest traps in adopting AI at scale

This isn’t just about websites. It’s a preview of how law, finance, R&D, and every desk job will transform. Business leaders who understand this shift will be the ones sipping cocktails while their competition scrambles.

Why do so many enterprise AI roll-outs sputter? 

More often than not, it comes down to one painfully obvious gap: the solution doesn’t tackle a problem employees actually feel. People already juggle endless priorities, and the “old way,” while clunky, is often good enough. If your AI doesn’t remove a real headache, no amount of prompt-engineering magic will spark adoption. 

In this fast-paced session Dino Gane-Palmer (CEO, Auxee & PreScouter) maps a classic consumer-product playbook onto AI, revealing a 4-part formula he learned from food-innovation leader Stacey Popham (VP R&D, Conagra; Crystal Light alum). You’ll see exactly how the drink-mix that conquered grocery aisles mirrors the way winning AI tools must. 

Learn what Crystal Light can teach us about AI adoption. 

What happens when artificial intelligence stops helping businesses and starts being the business itself?

In this eye-opening deep-dive, PreScouter & Auxee CEO Dino Gane-Palmer unpacks the “sentient enterprise” vision first sketched by Prof. Mohan Sawhney and shows how OpenAI’s 5-level roadmap is turning that vision into reality. Also, discover the hidden “missing piece” that explains why so many companies stall at pilots and learn why appropriate autonomy (not total automation) will win.

How do you stay valuable when AI seems to be doing everything?

In this episode I share the six “forever skills” I see rising to the top in every job.

Jensen Huang shows how he cross-examines ChatGPT like three rival doctors.

Stacey Popham persuades a pilot to switch airport gates—mid-flight.

Indra Nooyi doesn’t accept mediocre work output.

Bill Gates explains why empathy may be the last safe career harbor.

Danny Frisco reveals why founders must master everyday sales talk.

After talking with hundreds of CEOs and business leaders I’m convinced the skills these leaders share are the ones you need if you want to future-proof your career (and your company).

Are ChatGPT essays, Copilot code, and Midjourney art flooding the world with “AI slop”?

Yes – unless you know the recipe for turning those bland, one-size-fits-all outputs into work that still feels unmistakably human. In this episode I break down the two pressure points where your craft transforms generic autocomplete into gold – and why mastery here can 10× your impact while everyone else drowns in sameness.

Clips from TED and Open AI appear under Fair Use for educational commentary.

Dino Gane‑Palmer reveals how the autocomplete you see in your search bar has been turned into jaw‑dropping magic we call ChatGPT. It’s astonishing not just to Dino, but also OpenAI co-founder and President Greg Brockman – video excerpts from whom are used to explain how Generative AI works.

Dino demonstrates how large language models can now autocomplete almost anything—from essays and code to agents that book flights.

Clips from TED and Open AI appear under Fair Use for educational commentary.