
Egyptian outlet Youm7 reports that Elon Musk told xAI staff in a recent internal meeting that he believes the company could achieve artificial general intelligence by 2026, anchored on a forthcoming Grok 5 model. The article says Musk expects xAI to scale its GPU fleet from about 200,000 to over 1 million chips and secure $20–30 billion per year in funding.
This article aggregates reporting from 1 news source. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
Musk’s latest AGI timetable should be read less as a forecast and more as a declaration of intent. Promising internal staff that Grok 5 gives xAI a shot at AGI by 2026 is a way of justifying enormous capex on GPUs and data centers, and motivating a small team to move at unrealistic speed. The interesting part is the scale: talking about a jump from ~200,000 to over 1 million GPUs and tens of billions per year in funding would put xAI’s infrastructure ambitions in the same league as OpenAI and Google, if they materialize.
For the race to AGI, this kind of rhetoric has two effects. First, it keeps competitive pressure high: if investors and policymakers believe Musk could plausibly reach AGI on that timeline, they are more likely to support aggressive scaling by rival labs too. Second, it normalizes the idea that AGI may be a 1–3 year question rather than a decade-long one, which can distort both risk assessments and regulatory planning. Until we see concrete technical details from Grok 5 and xAI’s training runs, these claims are speculative—but they underscore that the AGI race is now as much about narratives and capital commitments as it is about model weights.
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