Keen On America The AI Race is a Myth: Why "Who's Winning" is the Wrong Question
Nov 30, 2025
In this engaging discussion, Keith Teare, a tech entrepreneur and investor, reveals why framing AI as a race is misleading. He introduces the three C's: capabilities, capital, and civics, emphasizing that understanding these elements is crucial for assessing AI's progress. Teare argues that we're in an endless cycle of innovation, not a competition with winners and losers. They also explore the potential impacts on industries and politics, noting that equitable distribution of AI's benefits is essential to avoid societal upheaval.
AI Snips
Chapters
Transcript
Episode notes
AI Is An Endless Innovation Cycle
- The AI scene is not a race with a finish line but an endless, accelerating innovation cycle.
- Large language models are powerful today but are likely not the final form of AI.
LLMs Fake Intelligence
- LLMs excel at appearing intelligent but remain fundamentally 'guessing machines'.
- Some lab breakthroughs like AlphaFold show forms of problem-solving closer to real intelligence.
Google's Ad Data Is Strategic Advantage
- Google currently benefits from owning a huge paid-links and clicks database that helps monetize AI interfaces.
- Click rates may decline in AI interfaces but Google's real-time ad data gives it monetization leverage.