In this special episode of AI and the Future of Work, host Dan Turchin looks back on what 365 conversations have revealed about how AI is reshaping the way we work.

What themes have emerged most consistently? Which ideas connect founders, researchers, and operators across industries? And what have these discussions taught us about the evolving relationship between humans and intelligent systems?

Featuring Guests:

1. Mark McCrindle, Founder and Principal at McCrindle - Listen to the full conversation: https://www.buzzsprout.com/520474/episodes/13014260
2. Pradeep Menon, CTO at Microsoft - Listen to the full conversation: https://www.buzzsprout.com/520474/episodes/13034974
3. Dave Kellogg, EIR at Balderton Capital - Listen to the full conversation: https://www.buzzsprout.com/520474/episodes/16665133
4. Alex Buder Shapiro, Chief People Officer at Jasper AI - Listen to the full conversation: https://www.buzzsprout.com/520474/episodes/17522593
5. Gary F. Bengier, Writer, philosopher, and technologist - Listen to the full conversation: https://www.buzzsprout.com/520474/episodes/12934217
6. Josh Bersin, Founder and CEO at The Josh Bersin Company - Listen to the full conversation: https://www.buzzsprout.com/520474/episodes/17863187
7. Bryan Power, Head of People at Nextdoor - Listen to the full conversation: https://www.buzzsprout.com/520474/episodes/16837259
8. Dave Treat, Chief Technology Officer at Pearson - Listen to the full conversation: https://www.buzzsprout.com/520474/episodes/17557154

💡 What You Will Learn

• Why the future of work remains human-centered
• How AI amplifies human capability rather than replacing it
• Why trust and transparency define successful AI-driven teams
• How workplace culture is evolving as organizations adopt AI
• Why meaning, empathy, and lifelong learning matter more than ever

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Other special episodes:

• Lessons from Four Unicorn CEOs Disrupting Massive Markets with AI (Special Episode)
• Artificial General Intelligence: Can Machines Really Think Like Us? (Special Episode)
• Ethical AI in Hiring: How to Stay Compliant While Building a Fairer Future of Work (HR Day Special Episode)
• AI and the Law: How AI Will Change Legal Careers (Special Episode)
• AI and Safety: How Responsible Tech Leaders Build Trustworthy Systems (National Safety Month Special)
• Lessons from Leaders: How AI Is Redefining Work and the Human Experience (Labor Day Special Episode)

Darrick Horton is the CEO and co-founder of TensorWave, the company making waves in AI infrastructure by building high-performance compute on AMD chips. In 2023, he and his team took the unconventional path of bypassing Nvidia, a bold bet that has since paid off with nearly $150 million raised from Magnetar, AMD Ventures, Prosperity7, and others. TensorWave is now operating a dedicated training cluster of around 8,000 AMD Instinct MI325X GPUs and has already hit a $100 million revenue run rate.

Darrick is a serial entrepreneur with a track record of building infrastructure companies. Before TensorWave, he co-founded VMAccel, sold Lets Rolo to LifeKey, and co-founded the crypto mining company VaultMiner.

He began his career as a mechanical engineer and plasma physicist at Lockheed Martin’s Skunk Works, where he worked on nuclear fusion energy. While he studied physics and mechanical engineering at Andrews University, he left early to pursue entrepreneurship and hasn’t looked back since.

In this conversation we discussed:

• Why Darrick chose AMD over Nvidia to build TensorWave’s AI infrastructure, and how that decision created a competitive advantage in a GPU-constrained market
• What makes training clusters more versatile than inference clusters, and why TensorWave focused on the former to meet broader customer needs
• How Neocloud providers like TensorWave can move faster and innovate more effectively than legacy hyperscalers in deploying next-generation AI infrastructure
• Why power, not GPUs, is becoming the biggest constraint in scaling AI workloads, and how data center architecture must evolve to address it
• Why Darrick predicts AI architectures will continue to evolve beyond transformers, creating constant shifts in compute demand
• How massive increases in model complexity are accelerating the need for green energy, tighter feedback loops, and seamless integration of compute into AI workflows

Resources:

• Subscribe to the AI & The Future of Work Newsletter
• Connect with Darrick on LinkedIn
• AI fun fact article
• On How the new definition of work

Jeetu Patel is President and Chief Product Officer at Cisco. He previously served there as Executive Vice President and General Manager of Security and Collaboration.

He joined Cisco in 2020 after serving as Chief Product Officer and Chief Strategy Officer at Box, where he played a key role in expanding the company into a multi-product platform used by more than 100,000 customers.

He currently sits on the board of real estate services company JLL (Jones Lang LaSalle) and holds a B.S. in Information Decision Sciences from the University of Illinois.

In this conversation, we discuss:

• How Cisco is becoming an AI-first company and why fully embracing AI is now a requirement, not a choice
• How AI will reshape every job, and which human skills will matter most in the decade ahead
• The real constraints slowing enterprise AI adoption: power, trust, and data
• The infrastructure, security, and data gaps limiting AI’s potential, and how Cisco is closing them
• Why skill gaps are growing, and what workers can do to stay relevant as AI changes the workplace
• How Cisco approaches new markets, strategic focus, and building products people love at global scale

Resources

• Subscribe to the AI & The Future of Work Newsletter
• Connect with Jeetu on LinkedIn
• AI fun fact article
• On How AI helps serve 70 million meals every day

Past guests mentioned on this show:

• Box´s CTO Ben Kus on Responsible AI Use, Innovation Culture, and Future AI Trends
• Box’s Global CIO Ravi Malick on Why Every Problem Doesn't Need an App
• Cisco´s Former CEO on the Future of AI-Driven Work and Investing in PeopleReign