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George Hammond

Venture capital correspondent at the Financial Times, interviewed about OpenAI's ownership structure, investors, and fundraising challenges.

Top 3 podcasts with George Hammond

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124 snips
Oct 13, 2025 • 15min

Trump ups the trade war ante

Join George Hammond, the Financial Times' venture capital correspondent, as he dives into the complex ownership of OpenAI. He discusses the challenges of raising funds and how its structure complicates potential investor payouts. The conversation also touches on the recent threats from Trump to escalate trade tensions with China and the record-breaking quarter for Wall Street's investment banks. The impact of European lawmakers’ side gigs on their legislative integrity is also examined, revealing a tapestry of conflicts in EU policymaking.
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120 snips
Jan 14, 2026 • 40min

Tech in 2026: Inside the AI bubble

George Hammond, a venture capital correspondent at the Financial Times, reveals the origins of the AI bubble and potential market corrections. Melissa Heikkilä, the AI correspondent, discusses the nuances between language models and broader AI, while Sarah O'Connor, an insightful columnist, highlights the implications for labor markets. They delve into the inherent errors of LLMs, the challenges for startups, and the mixed predictions for AI's role in 2026. Will AI transform tasks or displace jobs? The conversation raises pressing questions about the future of work in an AI-driven world.
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74 snips
Nov 19, 2025 • 26min

What’s the deal with OpenAI's deals?

In this engaging discussion, George Hammond, a venture capital correspondent at the Financial Times, and Tabby Kinder, the U.S. West Coast financial editor, tackle the monumental changes at OpenAI. They delve into the implications of its shift to a for-profit model and the staggering $1.4 trillion in chip and data center deals. The duo also explores potential funding challenges, vendor financing concerns, and whether OpenAI could represent a systemic risk in the tech market. They highlight the race for computational resources among AI startups and what this means for the industry’s future.

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