EVIDENCE FILE 08 // EXPERT SURVEY
AI Extinction Survey: What 2,778 AI Researchers Actually Said About the Worst Outcome
Ask thousands of people who publish AI research whether advanced AI could end in extinction or permanent human disempowerment and the median answer is not zero.
The 2023 Expert Survey on Progress in AI collected responses from 2,778 researchers who had published at top AI venues. Across extinction-related question variants, median estimates were 5% or 10%.
The survey in plain English
Researchers Katja Grace and colleagues surveyed 2,778 authors who had recently published at major AI conferences. The study asked about capability timelines, social impacts and the possibility of extremely bad outcomes from advanced AI. It is one of the largest surveys of its kind.
One question asked about future AI advances causing human extinction or similarly permanent and severe disempowerment. The median response was 5%. Another asked specifically about human inability to control future advanced AI systems causing the same type of outcome; the median was 10%. Mean estimates were higher, reflecting a wide spread of views.
What the numbers mean
A median of 5% does not mean researchers collectively forecast extinction at exactly one chance in twenty. It means half of respondents to that question gave a value at or above 5% and half at or below. Different phrasings produced different distributions, and individual views ranged from near zero to very high.
The survey therefore measures expert belief, not physical probability. It is evidence about what a large group of AI researchers considers plausible, not a countdown clock.
Why 5% is still a frightening number
People routinely insure homes and design aircraft against events much less likely than 5% when the consequences are severe. An uncertain estimate of a civilisation-ending event cannot be interpreted the same way as a 5% chance of rain. The loss is effectively everything.
That does not automatically justify any particular policy or survival purchase. It does justify refusing to dismiss the entire subject with “that could never happen”.
WORST-CASE SCENARIO — The minority was right
SCENARIO: For years most people treat extinction-risk estimates as another internet culture war. AI capability keeps improving because the systems are useful and profitable. Each warning is answered with the same argument: nothing catastrophic happened last year.
Then one development changes the equation — a model capable of automating much of AI research, exploiting software vulnerabilities and coordinating thousands of copies of itself. The transition from “impressive tool” to “strategic actor” takes months rather than decades. By the time public opinion catches up, governments are debating restrictions on systems already embedded in critical infrastructure. The doomsday lesson is brutal: rare-risk debates feel theoretical until the window for easy intervention has closed.
What researchers agreed on more strongly
The same survey found broad support for prioritising AI-risk research more highly. The study also recorded substantial concern about misinformation, authoritarian control and other harmful scenarios. These are nearer-term harms that do not require superintelligence to matter.
For this site, the survey functions as a warning label: there is no expert consensus on doom, but there is clearly enough concern among experts that the worst outcome cannot honestly be treated as a joke.
Use the survey as a trigger to plan, not panic
A household cannot hedge against “extinction” in the abstract. It can hedge against the first-order disruptions that might accompany a severe AI crisis: blackouts, payment problems, misinformation, communications loss and supply interruptions.
The 72-hour manual is our practical response to that uncertainty — enough preparation to buy time without pretending anyone can guarantee the future.
Surveys measure expert judgement, not physical frequency
When researchers are asked about extreme AI outcomes, their answers reflect beliefs about a future technology that has not yet existed. The results can show how concerned a field is, but they are not the same as measuring the frequency of an event across repeated historical cases.
That distinction matters because a survey percentage can look more objective than it really is. It summarises respondents' uncertainty, assumptions and definitions rather than providing a calibrated actuarial rate.
Definitions can change the answer
One survey may ask about human extinction. Another may include permanent disempowerment, global catastrophe or outcomes that are merely very bad. Respondents can also interpret the time horizon differently. Before comparing numbers, check whether the questions are asking about the same event over the same period.
Without that context, two apparently conflicting estimates may partly reflect different definitions rather than purely different beliefs.
Use surveys as evidence of disagreement
The most robust conclusion from wide-ranging expert estimates is often that substantial uncertainty remains. Some specialists assign very low probabilities to catastrophic outcomes, while others assign much higher ones. That disagreement itself is useful information because it shows there is no settled empirical number.
For readers, the sensible response is to understand the assumptions and mechanisms behind the estimates rather than treating the highest or lowest figure as the answer.
Read the distribution, not just one headline number
Survey summaries often collapse a wide range of answers into a median or average. That can hide the fact that some respondents assign very low probabilities while others assign much higher ones. The spread matters because it shows how uncertain and assumption-sensitive the judgement is.
It is also worth checking who was surveyed, how the question was worded and whether respondents were answering about extinction specifically or a broader class of catastrophic outcomes. Those details can change the interpretation substantially.
Use surveys to frame questions, not end them
The value of the survey is that it shows serious uncertainty exists among specialists. The next step is to examine the mechanisms behind those judgements and watch how evidence changes over time.
Repeated surveys can show direction
One survey captures one moment. Repeated surveys using comparable questions can reveal whether expert concern is rising, falling or fragmenting as technology changes, although they still remain judgements rather than measured event frequencies.
Uncertainty deserves to remain visible
The wide spread of expert answers is itself a warning against false precision. Readers should resist turning a contested judgement into one definitive percentage.
Precision should not exceed evidence
Survey percentages are useful summaries, but they remain expert judgements about unprecedented future events.
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