Meta Platforms Inc. had the lead. It had the data. It had the engineering talent.
It had years of head start in artificial intelligence research. None of it mattered, according to Chamath Palihapitiya, the former Facebook vice president who helped turn the social network into a global utility.
Speaking on The Axios Show this week, Palihapitiya delivered a blunt verdict: Mark Zuckerberg and his company “completely fumbled” the generative AI opportunity. Nvidia and chief executive Jensen Huang now sit at the center of the AI ecosystem. Meta does not.
The stakes go beyond corporate pride. Meta connects billions of people.
Its platforms shape how information flows, how businesses operate, how communities form. Control over the next generation of AI tools means control over how those billions interact with technology. Palihapitiya argued Meta had every advantage to claim that control.
It did not. He compared the current failure to an earlier moment inside Facebook. While still at the company, Palihapitiya said he tried to persuade leadership to build its own smartphone platform.
He believed Facebook could have carved out a strategic position in mobile hardware. That never happened.
The pattern, he suggested, repeated itself with AI. The company had the pieces. It did not put them together.
Palihapitiya did not offer an explanation for why Meta faltered. “I don’t know the organisation well enough, nor do I understand the political dynamics to understand why they failed as miserably as they have,” he told Axios.
“But they’ve profoundly failed.” He stressed he was not speculating. He no longer has insight into Meta’s internal leadership decisions. His critique comes from outside, but it comes from someone who helped build the machine.
The consequences are visible. Nvidia’s market valuation has soared past $3 trillion. Its chips power the large language models that define the current AI boom.
Meta, meanwhile, poured billions into its own AI research and open-source models like Llama. It has not translated that investment into the kind of platform dominance Palihapitiya believed was within reach.
The company remains a social media giant. It is not the AI infrastructure giant. That distinction matters.
The companies that control the foundational layers of AI — the chips, the cloud computing, the model training frameworks — will set the rules for everyone else. Nvidia owns the chips.
OpenAI and Google own the most visible models. Meta competes, but it does not lead. Palihapitiya’s former employer, he argued, let that happen.
He was an early Facebook executive. He played a major role in expanding the platform’s global user base. His criticism carries weight inside the industry partly because he was there when Facebook made the moves that turned it into a monopoly.
He watched the company seize opportunities. He now watches it miss them.
Meta declined to comment on Palihapitiya’s remarks. The company continues to invest heavily in AI research and infrastructure. Zuckerberg has said publicly that Meta aims to build artificial general intelligence and open-source it.
But Palihapitiya’s argument is not about intent. It is about execution.
In his view, Meta had the chance to define the AI era. It ended up on the sidelines while Nvidia collected the winnings. The question now is whether Meta can recover.
The AI race is still early. New breakthroughs happen weekly. But Palihapitiya’s comments suggest the window for establishing dominance may already have closed.
Once a company like Nvidia locks in its position as the essential supplier, dislodging it becomes nearly impossible. Meta, he implied, let that lock happen on its watch.
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