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Researchers at Stanford reveal how technological progress, far from being uniformly risky, can paradoxically reduce certain existential threats even as it creates new ones, challenging the notion that stasis guarantees safety.
Technological advancements have long been a driving force behind economic growth and increased consumption. However, these same advancements also introduce existential risks (x-risks), which can pose threats to human survival or cause permanent welfare losses. Philip Trammell and Leopold Aschenbrenner from Stanford University's Digital Economy Lab explore the complex relationship between technological development and x-risk in their recent study. Their findings suggest that while stagnation is often considered safe, technological growth can both increase and decrease x-risks through various mechanisms.
The tradeoff between technological progress and existential risk is a critical consideration for policymakers and business leaders. Advanced biotechnology, nuclear weapons, emissions-intensive industrial production, and artificial intelligence (AI) are all cited as potential sources of x-risk. According to Trammell and Aschenbrenner, the optimal rate of technological growth that minimizes cumulative x-risk is typically positive and can be substantial. This insight challenges the conventional view that stagnation is the safest option.

The study by Trammell and Aschenbrenner reveals that there is an optimal rate of technological growth that balances consumption benefits with x-risk reduction. Below this rate, the tradeoff between consumption and cumulative risk is minimal or non-existent. This finding has significant implications for policy-making and business strategy:
The economic models studied by Trammell and Aschenbrenner highlight the importance of considering long-term welfare when evaluating technological progress. Bostrom (2003) argues that saving future generations from extinction has immense value, as the benefits could last indefinitely. In contrast, the short-term gains from accelerating technological development are more limited. This perspective underscores the need for a nuanced approach to growth and risk.
The dynamic relationship between technological growth and existential risk is complex but manageable. By understanding the mechanisms through which technology can both increase and decrease x-risk, policymakers and businesses can make informed decisions that balance economic benefits with long-term safety. The optimal rate of technological growth, as identified by Trammell and Aschenbrenner, provides a valuable framework for navigating this tradeoff.
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Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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5 January 2026
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