Matteo Wong: The Atlantic’s AI Critic in an Era of Hype
Matteo Wong is a staff writer at The Atlantic covering AI and technology. His recent reporting examines AI's real costs, Silicon Valley's fading advantage, and regulatory friction between Washington and tech companies.

Matteo Wong is a staff writer at The Atlantic, covering artificial intelligence and technology at a moment when both sectors demand serious scrutiny. His byline appears frequently in the publication's Ideas section, where he examines claims about AI's capabilities alongside the business incentives driving them.
Wong's recent work tracks several persistent tensions in tech. He has investigated AI's actual water consumption—a topic muddied by conflicting claims and incomplete data. He examined why Silicon Valley's geographic advantage has eroded in an era when tech infrastructure increasingly resembles industrial capacity rather than creative clustering. He has also covered the race between American and Chinese AI companies, including how Chinese alternatives undercut Western pricing and what that means for adoption.
His coverage of regulatory friction between the federal government and major AI labs has become particularly relevant. A June 2026 piece argued that White House pressure on Anthropic risked pushing American advantage to competitors abroad. Weeks earlier, he analyzed Donald Trump's AI executive order and found it lacking substantive policy.
Wong's approach reflects The Atlantic's voice: skeptical of corporate narrative without being reflexively anti-tech. When he writes about cyberattacks, AI detection tools, or the relocation of tech talent to informal housing in San Francisco, he presents what is observable and measurable, then questions what remains speculative.
His reporting touches Asia-Pacific concerns indirectly—Chinese AI competition, supply-chain concentration in data centers, and how regulatory choices in Washington ripple across tech ecosystems globally. As AI policy hardens and venture capital faces margin pressure, Wong's focus on unglamorous mechanics (cooling costs, computational power, labor concentration) has become essential reading for investors and technologists tracking where hype ends and infrastructure begins.



