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James Cham is a Partner at Bloomberg Beta, the venture capital firm recognized by CB Insights as the #2 investor in AI. He has spent years backing the companies quietly building the infrastructure of tomorrow's economy, including Orbital Insight, Primer, Domino Data Labs, and AppZen.
A Harvard CS graduate and MIT MBA, James brings a rare combination of technical depth, philosophical seriousness, and long-horizon investing perspective to every conversation.
In this episode, he challenges some of the most popular assumptions in enterprise AI adoption (including the idea that keeping humans in the loop is always the right answer) and makes a compelling case for why the moral and economic decisions we make right now will shape the nature of work for the next hundred years.
In this conversation, we discuss:
- Why the people who benefit from AI models, not those impacted by them, should bear full legal and moral responsibility for the harms they cause
- Why comparing AI to a flawless "Platonic ideal" is a mistake, and how the mathematical consistency of models is a massive advantage over noisy, unpredictable human decision-making
- The case for pulling humans out of the loop and why romanticizing your role in the process is exactly how organizations miss the real opportunity
- Why corporate America's "gold star" approach to AI adoption, tracking how many employees used AI once this week, is a dangerous distraction from what heavy users are already doing
- How ancient wisdom and the biblical concept of creation in Genesis can help us navigate the moral responsibilities of building new technologies
- James’s three massive investment theses, including the untapped market for AI tools with high emotional intelligence and why developers spending over $50 a day on tokens are already living in the future
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