CxC Ep36: AI Industry Rundown - with Benjamin Rogojan & Anand Pant — Code and Connor
Code and Connor

CxC Ep36: AI Industry Rundown - with Benjamin Rogojan & Anand Pant

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CxC Ep36: AI Industry Rundown - with Benjamin Rogojan & Anand Pant
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About this episode

This week on Code x Connor, we’re joined by Codestrap Founding Partners Benjamin Rogojan and Anand Pant to break down the latest developments shaping the AI industry—from OpenAI's proposed government equity stake and the future of open-source models to Microsoft's massive push into forward deployed engineering and the growing reality check around enterprise AI adoption.

In this episode, we discuss:

→ OpenAI's proposal to donate equity to a U.S. sovereign wealth fund

→ Why open-source is critical to innovation, national security, and enterprise sovereignty

→ The risks of AI censorship, model bias, and anti-competitive behavior from frontier labs

→ Meta's move into selling excess AI compute and what it means for the infrastructure market

→ Why token efficiency and smaller models could reshape AI economics

→ Microsoft's $2.5 billion investment in forward deployed engineering

→ The challenges of hiring thousands of AI engineers and the growing enterprise skills gap

→ The advantages of owning your own intelligence layer over relying on AI labs

→ Ford's decision to rehire employees after AI-driven workforce reductions

→ Augmenting human expertise with AI instead of replacing it

→ What these trends reveal about the next phase of enterprise AI adoption 

Be sure to follow this channel for insights and perspective from industry leaders, and schedule a meeting with us through www.codestrap.com to learn more about our offering.


Code and Connor

About Code and Connor

CodeStrap

Code & Connor is where Connor Deeks and Dorian Smiley ask the questions most AI podcasts won't. Two founders — one strategist, one engineer — in honest conversations with executives, builders, and practitioners about what's actually happening at the intersection of AI and the enterprise. Learn from collaborations with…

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