
Arvind Narayanan
@random_walker on XReliability, adoption and institutions shape what AI changes.
How will AI change the world?
Across: his expressed DoomâBloom outlook. Up: scale of transformation.
DoomâBloom: 72 out of 100. Scale of transformation: 63 out of 100. Interpretation ranges: 50 to 75 horizontally, 50 to 75 vertically. These are interpretation coordinates, not event probabilities.
â13%
Inferred from his broader worldview and priorities. Approximate interpretation range: 0â45%. Applies to the outcome and conditions in his simulated answers; this is an inferred percentage.
No milestone timing was established. Dates, ânot sure,â âpossibly never,â and dependencies can all appear here when expressed.
Grouped by milestone, not spaced or ordered by inferred dates. AGI and superhuman AI retain his definitions.
A central assumption
It depends on security engineering, liability, independent scrutiny, access controls, and whether institutions distribute benefits rather than merely shifting costs onto workers and the public.
Answer 2
If this assumption turned out differently, how would his outlook change?
More details
Substantial benefits are expected, with important conditions or distribution limits.
67 / 100
Interpretation range 67 to 67 on the qualitative scale.
Severe or widespread harm is a material expected part of the future.
66 / 100
Interpretation range 67 to 67 on the qualitative scale.
Reasoning, consideration of alternatives, and handling of uncertainty in his simulated answers. This describes the simulated answers, not the real personâs intelligence or opinions.
90 / 100
Interpretation range 76 to 100 on the qualitative scale.
Human choices can substantially redirect the AI trajectory.
67 / 100
Interpretation range 50 to 75 on the qualitative scale.
Restrict the AI uses discussed until prior protections or permission are in place.
Simulated position: Allow the AI uses discussed with targeted accountability and protections.
Minimize restrictions on the AI uses discussed.
These interpretations keep his stated conditions. Benefits and harms can both be substantial. The ranges describe how we read his simulated answers, not statistical confidence intervals.
Simulated Assessment
Sources
Articles, interviews, and writings used to ground this simulated persona.
Do AI Risks Require Extraordinary Government Intervention?
Letâs not skip the hard work of AI governance

Why AI hasnât replaced software engineers, and wonât
Coding agents as normal technology

What will be left for us to work on?
My keynote at ICML 2026

AI as Normal Technology
A new paper that we will expand into our next book

AI agents cannot yet do open-ended AI research
Early evidence from two case studies

The AI-as-Normal-Technology view of loss-of-control incidents
A middle ground between the cybersecurity and AI safety communities
