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On April 8, 2024, Elon Musk forecast that AI might become smarter than the smartest human within roughly one to two years—but only under the definition of artificial general intelligence he gave in that interview. It was a prediction, not a report that AI had already reached that milestone.
What did Musk say, and when?
During an X Spaces interview with Norges Bank Investment Management CEO Nicolai Tangen on April 8, 2024, Musk was asked when artificial general intelligence (AGI) might arrive. He replied: “If you define AGI (artificial general intelligence) as smarter than the smartest human, I think it’s probably next year, within two years.” Reuters’ contemporaneous report paraphrased his estimate as probably by the following year or by 2026.
The date matters: “within two years” was a forecast made in 2024, not a rolling deadline. Musk also offered reasons for expecting rapid progress, including advances in computing hardware and software, and said advanced chips were a constraint while electricity supply could become important. Those were his explanations in the interview, not independently established findings.
What did “smarter than the smartest human” mean?
Musk’s wording sets a particular threshold: AI outperforming the most capable individual human. It does not, by itself, specify which abilities count, how they should be measured, or whether the system must perform reliably across all of them. The benchmark evaluations discussed below do not operationalize that broad phrase as a single test.
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The archived interview transcript also records Musk distinguishing this individual threshold from AI surpassing “the machine, augmented human collective”—people using computers together. He treated the collective-compute milestone as a different and later threshold. The two statements should not be collapsed into one prediction.
What do current evaluations show?
AI capabilities have improved quickly, but results vary substantially by task and setting. A score on a specific benchmark is evidence about performance on that benchmark; it is not an overall ranking of AI against the most capable human across every domain.
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Computer use: strong results, but frequent failures
Stanford HAI’s 2026 AI Index technical-performance chapter reports computer-use agents reaching about 66.3% success on OSWorld, a structured benchmark. That means they still failed roughly one in three attempts in that evaluation. It does not establish comparable reliability in unrestricted everyday computer use.
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The same Stanford report describes strong performance in simulated robotics settings alongside poor success on many real household tasks. The contrast illustrates why results from controlled or simulated environments cannot automatically be generalized to the physical world.
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Software task horizons: a narrow measure of task difficulty
METR’s task-horizon measure estimates the human-expert completion time of tasks an agent is predicted to complete at a specified success rate. METR explicitly describes this as a measure of task difficulty, not simply how long an agent can operate autonomously.
In its January 29, 2026 release, METR Time Horizon 1.1 described a suite of 228 tasks with estimated human completion times ranging from one second to 30 hours. METR also noted that confidence intervals remain wide. A growing horizon is relevant evidence about some autonomous software work; it is not a direct test of AGI or a measure of continuous operating time.
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Can these results establish whether Musk was right?
No. The cited reports show substantial progress on selected tests, but none measures whether an AI system is broadly “smarter than the smartest human” across the range of abilities implied by Musk’s phrase. There is no single validated score in these sources that can answer that question.
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What the prediction means for readers
Musk made a specific, conditional forecast in April 2024. The subsequent benchmark evidence supports the narrower conclusion that AI has advanced rapidly in some domains while remaining unreliable or weak in others. It does not verify that AI has crossed his broad individual-human threshold, nor does a task-horizon estimate settle the question. The claim is best read as a dated prediction whose key term—“smarter”—was not tied to a comprehensive evaluation in the cited evidence.
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