Fei-Fei Li

Fei-Fei Li

x.com/drfeifei

Stanford computer scientist and World Labs cofounder who works on spatial intelligence and argues for human-centered AI that serves people.

How will AI change the world?

Civilizational changeIncremental changeDoomBloom
Simulated positionInterpretation range

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

Doom–Bloom: 81 out of 100. Scale of transformation: 61 out of 100. Interpretation ranges: 75 to 86 horizontally, 50 to 75 vertically. These are interpretation coordinates, not event probabilities.

Fei-Fei Li’s P(doom) · inferred

≈4%

0%100%

Inferred from her simulated answers, not a number they gave. Plausible range: 2–8%.

How we estimate P(doom)

What her outlook hinges on

A central assumption

If we invest in open science, independent research, education and interdisciplinary oversight, I believe AI can become a powerful tool for enlarging human agency and improving lives.
Answer 2

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

An unresolved question

I would not assign a credible number.
Answer 4

What would help her distinguish the plausible outcomes here?

More details

Expected upside

Several readings remain plausible: Substantial benefits are expected, with important conditions or distribution limits. / Transformative, broadly valuable gains are expected.

82 / 100

Little impactTransformative impact

Interpretation range 67 to 100 on the qualitative scale.

Expected harm

Manageable or localized harms are expected.

39 / 100

Little impactTransformative impact

Interpretation range 33 to 67 on the qualitative scale.

Human influence

Human choices are decisive: very different AI futures remain within collective reach.

94 / 100

Little influenceStrong influence

Interpretation range 75 to 100 on the qualitative scale.

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

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What Fei-Fei Li has said about AI

Li works on spatial intelligence and argues that AI should augment people, with governance based on science and guardrails on its applications.

  1. “The goal of building any technology, AI included, should be bettering human lives and society.”

    Post on X
  2. “As one of the scientists who helped usher in the era of modern AI, my motivation has always been clear: AI must augment human capability, not replace it.”

    Essay, From Words to Worlds
  3. “Spatial intelligence will transform how we create and interact with real and virtual worlds—revolutionizing storytelling, creativity, robotics, scientific discovery, and beyond.”

    Essay, From Words to Worlds
  4. “I really think a pragmatic approach that focuses on applications and ensuring a guardrail for safe deliverance of this technology is a good starting point.”

    PBS, Firing Line
  5. “One thing that I think we should do is base all this on science, not science fiction.”

    Possible podcast

Word for word from the linked sources, checked Oct 3, 2026

Sources

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

Simulated Assessment

Question 1

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

I think AI can expand humanity’s ability to understand, imagine and create. But AI is much bigger than a chatbot. Language is only one part of intelligence; we also perceive and navigate physical spaces, manipulate objects, and turn ideas into actions. A system that connects perception, imagination and action could help scientists explore hypotheses, designers prototype environments, physicians understand complex anatomy, and robots operate more usefully in the real world. That future is not automatic. A convincing video is not necessarily a physically reliable simulation. We should distinguish systems that render observations from those that model structure well enough for simulation, and from those that can plan and act. Bringing these capabilities together is an exciting frontier, but challenges such as limited 3D data and the gap between simulation and reality remain substantial. Most importantly, the future of AI is a human choice. Technology does not decide whom it serves—we do. Universities, open science, shared tools and interdisciplinary stewardship all matter because this transformation should advance discovery, education, creativity and public service. I am optimistic because human intelligence and dignity remain at the center: AI should amplify people’s agency, not diminish it.

Question 2

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

Overall, I expect AI to have a profoundly positive impact, especially by expanding scientific discovery, education, medicine and human creativity. But that is an expectation tied to human stewardship, not a claim that technology automatically produces good outcomes. The harms are real: systems can be unreliable, concentrate power, reproduce social failures or be deployed without regard for the people affected. We also should not confuse impressive outputs with genuine understanding—for example, a realistic-looking video is not necessarily a physically faithful simulation that a robot or designer can safely rely on. So I reject both easy utopianism and fatalism. The decisive question is not whether AI is inherently good or bad, but what we build, who participates, and whom it serves. If we invest in open science, independent research, education and interdisciplinary oversight, I believe AI can become a powerful tool for enlarging human agency and improving lives.

Question 3

Setting aside good or bad: how much do you think AI will ultimately change the world—a little, a lot, or completely?

A lot—likely at the scale of a foundational technology, not simply another software product. AI can change how we discover scientific knowledge, teach and learn, practice medicine, create art and design, and interact with the physical world. The deepest change may come from moving beyond language toward systems that connect perception, imagination and action. If AI can reliably understand a room, simulate how objects behave, design a new space and help carry out a plan, it becomes useful across robotics, science and creative work in fundamentally new ways. That said, I would not say AI changes everything completely. Human needs, relationships, institutions and choices remain central. AI will reshape many of our tools and capabilities, but people still determine the purposes those tools serve.

Question 4

What’s your rough gut-feel chance that AI causes human extinction or a similarly permanent catastrophe? A number or “no idea” is fine.

I would not assign a credible number. Extinction forecasts often outrun the science; policy should focus on concrete, evidence-based risks rather than science-fiction certainty.
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