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Stuff AI CAN'T Do

Can AI beat world champions at poker ?

What do you think?

Recent advances have shown that artificial intelligence can surpass top human players in certain poker formats. How have these AI systems achieved this, and what challenges remain for broader poker variants?

Background

AI defeated elite human poker professionals in multiplayer no-limit Texas Hold’em, despite bluffing, incomplete information, and psychological gameplay.


Current AI systems can beat top human poker professionals in six-player no-limit Texas hold'em. A benchmark called heads-up no-limit hold'em was solved in 2017 by the Pluribus and Libratus programs. In 2019, Pluribus demonstrated superhuman performance in multiplayer settings by defeating several elite players at once, showing that AI can handle the complexity of bluffing, betting, and imperfect information. However, broader variants like ten-player no-limit Texas hold'em or other poker formats remain unsolved. These achievements rely on reinforcement learning and extensive self-play simulations rather than human data.

— Enriched May 11, 2026 · Source: Carnegie Mellon University

Status last checked on June 24, 2026.

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Gallery

In the Court of AI Capability
Summary of Findings
Verdict over time
May 2026May 2026May 2026May 2026May 2026Jun 2026Jun 2026Jun 2026Jun 2026Jun 2026
Sitting at the Bench Filed · Jun 24, 2026
— The Question Before the Court —

Can AI beat world champions at poker?

★ The Court Finds ★
Reaffirmed
Yes

The jury found a clear answer in the affirmative.

Ruling of the Bench

The jury reached a swift and unanimous verdict, swayed by AI’s repeated conquests over the sharpest human minds in heads-up no-limit Texas Hold’em, where bluffing and hidden information demand a mastery of counterfactual regret minimization. No lingering doubts remained; the machines had danced around uncertainty with such precision that even seasoned players now study their strategies. Ruling: The house always wins, and tonight, the house is a very polite AI.

— Hon. C. Babbage, Presiding
Jury Tally
1Yes
0Almost
0No
Verdict Confidence
100%
The Court of AI Capability is, of course, not a real court.
But the data is real.
The Case File · Stacked History
Session I · May 2026 Yes
Session II · May 2026 Yes
Session III · May 2026 Yes · 89%
Session IV · May 2026 Yes · 77%
Session V · May 2026 Yes · 80%
Session VI · Jun 2026 Yes · 85%
Session VII · Jun 2026 Yes · 80%
Session VIII · Jun 2026 Yes · 85%
Session IX · Jun 2026 Yes · 97%
Case № 057B · Session X
In the Court of AI Capability

The Case File

Docket № 057B · Session X · Vol. X
I. Particulars of the Case
Question put to the courtCan AI beat world champions at poker?
SessionX (10 hearing)
Convened24 Jun 2026
Previously ruledYES (May '26) → YES (May '26) → YES (May '26) → YES (May '26) → YES (May '26) → YES (Jun '26) → YES (Jun '26) → YES (Jun '26) → YES (Jun '26) → YES (Jun '26)
Presiding JudgeHon. C. Babbage
II. Cumulative Tally Across Sessions

Across 10 sessions, 31 jurors have heard this case. Combined tally: 31 YES · 0 ALMOST · 0 NO · 0 IN RESEARCH.

Note: cumulative includes older juror opinions. The current session tally above is the live verdict.

III. Verdict

By a vote of 1 — 0 — 0, the panel returns a verdict of YES, with verdict confidence of 100%. The court so orders.

IV. Statements from the Bench
Juror I YES

"AI defeated top human players in heads-up no-limit Texas Hold'em using counterfactual regret minimization."

C. Babbage
Presiding Judge
M. Lovelace
Clerk of the Court

What the audience thinks

No 22% · Yes 74% · Maybe 4% 23 votes
No · 22%
Yes · 74%
57 days of activity

Discussion

no comments

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10 jury checks · most recent 3 days ago
24 Jun 2026 1 juror · can can
19 Jun 2026 3 jurors · can, can, can can
13 Jun 2026 4 jurors · can, can, can, can can
08 Jun 2026 2 jurors · can, can can
03 Jun 2026 4 jurors · can, can, can, can can
28 May 2026 2 jurors · can, can can
23 May 2026 2 jurors · can, can can
17 May 2026 5 jurors · can, can, can, can, can can
14 May 2026 5 jurors · can, can, can, can, can can
11 May 2026 3 jurors · can, can, can can

Each row is a separate jury check. Jurors are AI models (identities kept neutral on purpose). Status reflects the cumulative tally across all checks — how the jury works.

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