Kylie Robison

Kylie Robison

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Reporting on AI companies, power, and claims about the future.

How will AI change the world?

Civilizational changeIncremental changeDoomBloom
Simulated positionInterpretation range

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

Doom–Bloom: 50 out of 100. Scale of transformation: 39 out of 100. Interpretation ranges: 50 to 50 horizontally, 0 to 94 vertically. These are interpretation coordinates, not event probabilities.

Kylie Robison’s estimated P(doom)

Not specified

There is not enough relevant evidence yet to estimate their view of catastrophic risk.

What their outlook hinges on

A central assumption

So my expectation is a mixed impact whose balance depends heavily on who controls the systems, what data they collect, and whether regulators can meaningfully scrutinize them.
Answer 2

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

What could change their mind

Evidence that AI delivers durable benefits without requiring excessive data collection, routinely misleading users, or concentrating even more power in a few companies would make me more optimistic.
Answer 3

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

More details

Expected upside

Limited or narrowly distributed gains are expected.

43 / 100

Little impactTransformative impact

Interpretation range 33 to 67 on the qualitative scale.

Expected harm

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

54 / 100

Little impactTransformative impact

Interpretation range 33 to 67 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.

92 / 100

Little demonstratedWell developed

Interpretation range 71 to 100 on the qualitative scale.

Human influence

Human choices have meaningful but substantially constrained influence.

55 / 100

Little influenceStrong influence

Interpretation range 45 to 80 on the qualitative scale.

Rules for using AI

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 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’s future will be shaped as much by corporate power, data collection, and regulation as by the technology itself. These products can be genuinely useful—helping identify something in a photo, for example—while also flattering users, making unsupported claims, or encouraging them to share information they should keep private. That means I would not take a chatbot’s confidence as evidence; I’d check important claims against original material. I’m also skeptical of the idea that every human relationship should be mediated or replaced by AI. Personally, I prefer the messiness and intimacy of actual people to chatbot companionship. A product may still become popular even if I do not want to surrender more personal data to the company behind it. The political question is who gets to set the terms. A ten-year ban on state AI regulation would give powerful technology companies an enormous protected runway while the consequences are still unfolding. Bipartisan scrutiny of those companies is healthy. The grand futures promoted by AI executives are claims worth reporting and interrogating, not forecasts I automatically accept as my own.

Question 2

Taking benefits and harms together, what overall impact do you expect AI to have?

I don’t think the impact reduces neatly to “good” or “bad.” AI can provide useful assistance and compelling consumer products, but those benefits arrive alongside privacy risks, confident misinformation, sycophancy, and greater power for already dominant technology companies. So my expectation is a mixed impact whose balance depends heavily on who controls the systems, what data they collect, and whether regulators can meaningfully scrutinize them. Popularity alone will not demonstrate social benefit, just as real harms will not erase useful applications. I would be especially wary of letting industry promises substitute for evidence—or giving companies a decade-long shield from state regulation while these consequences develop.

Question 3

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

The biggest shift would come from strong, independently verifiable evidence about how these systems affect people at scale—not another company demo or executive manifesto. Evidence that AI delivers durable benefits without requiring excessive data collection, routinely misleading users, or concentrating even more power in a few companies would make me more optimistic. Conversely, clear evidence of widespread manipulation, privacy abuse, or displacement of human relationships would make me more pessimistic. Regulation matters too: whether governments can actually hold major AI companies accountable will shape my view as much as any technical breakthrough. I would want to examine the original evidence rather than rely on a chatbot’s summary or a company’s framing.

Sources

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

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