Episode Details

We think AI strategy researchers should prioritize questions related to earlier parts of the AI transition, even when that means postponing work on some questions that ultimately seem more important.

In brief, our case for taking this “just-in-time” perspective is:

• There are more open AI strategy questions than we have capacity or time for right now
• At some point, AI uplift (and expanded human attention) will give humanity way more capacity for strategy work
  • This could make the marginal research we can add today OOMs less valuable, unless it helps us before that point (or speeds up/improves AI uplift)
• So the top priority for our strategy work is informing decisions we can’t punt until then
  • I.e. focusing more on the early period of the AI transition[1]  — understanding its dynamics and levers, identifying medium-term states we'd like to steer toward, and clarifying foundational questions

Earlier-period-focused strategy is sometimes treated as resolved (as if the only remaining work is implementation and later-stage questions). We think this is wrong. We sketch out a tentative list of high-priority questions, organized into the following clusters:

1. Understanding the early period — What is the likely trajectory of AI? What will [...]

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Outline:

(03:32) A just-in-time TAI strategy perspective

(06:04) The early part of the AI transition as our responsibility & focus

(07:49) What does this mean about which questions we should prioritize?

(08:34) a) Understanding the early period

(10:31) b) Preparing for early challenges

(12:41) c) Looking ahead (to see what would help later periods)

(14:39) d) Exploring our levers

(16:56) e) Clarifying foundational & ontological questions

(20:35) Which AI strategy questions does this tell us to drop?

(27:20) A final note on asking Which questions matter?

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First published:
February 23rd, 2026

Source:
https://forum.effectivealtruism.org/posts/XNMhYiA8GmJbBLHXg/which-questions-can-t-we-punt

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Narrated by TYPE III AUDIO.

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