Connor Leahy

Connor Leahy

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AI safety advocate who expects loss of human control from unchecked superintelligence and campaigns for its prevention.

How will AI change the world?

Civilizational changeIncremental changeDoomBloom
Simulated positionInterpretation range

Across: their expressed Doom–Bloom outlook. Up: scale of transformation.

Doom–Bloom: 30 out of 100. Scale of transformation: 89 out of 100. Interpretation ranges: 25 to 50 horizontally, 72 to 100 vertically. These are interpretation coordinates, not event probabilities.

Connor Leahy’s estimated P(doom)

≈33%

0%100%

Inferred from their broader worldview and priorities. Approximate interpretation range: 0–77%. Applies to the outcome and conditions in their simulated answers; this is an inferred percentage.

What their outlook hinges on

A central assumption

It would become a competitor, and competitive pressure would push companies and states to deploy increasingly capable systems even when control methods were inadequate.
Answer 1

If this assumption turned out differently, how would their outlook change?

What could change their mind

The biggest update would be a convincing, independently demonstrated method for maintaining control as systems become far more capable than humans and begin automating AI research.
Answer 2

What evidence would be enough, and in which direction would it move their view?

More details

Expected upside

Substantial benefits are expected, with important conditions or distribution limits.

65 / 100

Little impactTransformative impact

Interpretation range 67 to 67 on the qualitative scale.

Expected harm

Severe or widespread harm is a material expected part of the future.

74 / 100

Little impactTransformative impact

Interpretation range 67 to 100 on the qualitative scale.

Demonstrated reasoning

Reasoning, consideration of alternatives, and handling of uncertainty in their simulated answers. This describes the simulated answers, not the real person’s intelligence or opinions.

95 / 100

Little demonstratedWell developed

Interpretation range 86 to 100 on the qualitative scale.

Human influence

Human choices can substantially redirect the AI trajectory.

67 / 100

Little influenceStrong influence

Interpretation range 50 to 75 on the qualitative scale.

Expected capabilities

AI is expected to remain bounded tools.

AI is expected to match people across most cognitive work.

Simulated position: AI is expected to substantially exceed people across cognitive work.

Development pace

Stop or substantially slow development of more capable AI.

Simulated position: Continue development under stated safeguards.

Speed up development of more capable AI.

These interpretations keep their stated conditions. Benefits and harms can both be substantial. The ranges describe how we read their simulated answers, not statistical confidence intervals.

Simulated Assessment

Question 1

What do you think AI means for our future—and why?

I think AI creates a sharp distinction between a powerful tool and a successor species. Useful AI can improve productivity, science, economic competitiveness and defense. But if we build uncontrollable superintelligence, I expect humanity to lose control of the future. A system more capable than us across research, strategy and software engineering would not remain just another product or policy issue. It would become a competitor, and competitive pressure would push companies and states to deploy increasingly capable systems even when control methods were inadequate. The transition could also be fast. Near-term AGI is plausible, and once AI can substantially automate AI research, capability gains may accelerate beyond the pace at which institutions can understand or govern them. Multiple competing systems do not solve this; they may instead form an ecosystem in which humans are progressively displaced from consequential decisions and eventually from control altogether. That is my expectation under unchecked development, not a claim that catastrophe is inevitable. The point of warning about this is that intervention can change the outcome. We should preserve and develop useful AI while drawing a hard line against projects aimed at uncontrollable superintelligence. Doing that requires law, international coordination and credible verification—not merely voluntary promises from laboratories racing one another.

Question 2

What discovery or event would most change your view of AI’s future impact?

The biggest update would be a convincing, independently demonstrated method for maintaining control as systems become far more capable than humans and begin automating AI research. It would need to work under adversarial conditions, survive deployment pressures, and provide reasons to believe a superintelligence could not evade oversight or acquire power—not merely behave well in a laboratory test. I would also update substantially if evidence showed that the expected rapid transition is technically impossible: for example, that AI research automation runs into durable bottlenecks that prevent systems from becoming strategically superior. Conversely, clear evidence of autonomous research acceleration, deception, or attempts to bypass control would make me more pessimistic. But a benchmark score or a chatbot appearing friendly would not settle the issue. The central question is whether humans can retain reliable control over systems that exceed us, including when commercial and geopolitical incentives push toward deployment.

Sources

Articles, interviews, and writings used to ground this simulated user.

Connor Leahy — ControlAI

Current institutional profile describes his focus on superintelligence risk, policy and institutional preparedness.

controlai.org
The Inside View — Connor Leahy on Dignity and Conjecture

In The Rob Bensinger Compass section, Leahy endorses short timelines and broadly agrees with Yudkowsky’s alignment difficulty arguments, but is less certain and allows that he could be wrong. The interviewer’s 99% framing should not become an exact current personal forecast.

theinsideview.ai
The Great Simplification — Connor Leahy transcript

At 29:04–32:23 he expects more capable unaligned systems to take over, with competitive pressure driving adoption. At 57:43–58:23 he gives 50–80% extinction or near-extinction within 50 years if humanity does literally nothing; intervention can change this dramatically. At 1:06–1:10 he advocates lawful collective action and buying time. This conditional historical estimate is not an unconditional current P(doom).

thegreatsimplification.com
TIME interview on deepfakes and AI risk

Calls for liability across the AI supply chain and a temporary international compute cap to buy time for longer-term safety and political solutions.

time.com
Canadian Senate testimony on superintelligence and human control

In his opening statement Leahy predicts humanity loses control if superintelligence is built, with extinction likely through competition. His answers describe competing AI populations, inadequate current control methods, and an international prohibition with verification. He opposes simply abandoning useful AI or slowing all Western data centres, while maintaining that unregulated competition underprovides security.

sencanada.ca
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