The New York Times has reassigned veteran technology reporter Cade Metz to its Science desk to launch a new beat devoted to artificial intelligence, the paper announced on Thursday. Metz will remain in the paper’s San Francisco bureau and will continue to report on quantum computing alongside his AI coverage.
Shifting the lens from industry to scientific discovery
The move reflects a deliberate editorial decision to treat AI not solely as a matter of corporate strategy and product launches, but as a field of scientific inquiry with its own advances, setbacks and open questions. The Science desk plans to examine technical progress and the ways researchers are applying AI tools across other disciplines.
Metz first joined the Times in 2017 to report on emerging technologies. In his time there he has focused on foundational elements of the current AI era, such as the hardware and algorithms that enable modern systems, and produced early reporting on large language models before they became mainstream in consumer-facing products.
"Cade has done as much as any reporter in the country to explain the A.I. story to people outside Silicon Valley," said James Kerstetter, deputy editor on the Times’ Tech team.
Editors framed the new assignment as a change in editorial perspective: while companies such as OpenAI, Google and Meta remain central to AI’s public profile, the technology’s growing role in laboratory research and discovery prompts distinct questions about methodology, reproducibility and the interpretation of results.
- Metz will be based in San Francisco and begin the assignment immediately.
- He will continue reporting on quantum computing in addition to the AI beat.
- The Science desk intends to follow AI developments, their applications across other scientific fields, and unsettled technical questions.
Record of early reporting on key technologies
During his tenure at the Times, Metz identified technologies that he judged likely to be central to AI development, including neural networks and graphics processing units (GPUs). His earlier work examined the computing infrastructure intended to accelerate AI research and flagged the emergence of large language models in 2018, years ahead of their widespread deployment in products that brought AI into mainstream attention.
| Year | Item |
|---|---|
| 2017 | Joined the New York Times to cover emerging technologies |
| 2017 | Reported on computing infrastructure for AI acceleration |
| 2018 | Published early coverage of large language models |
| 2026 | Moved to Science desk to launch AI beat |
More recently, Metz has addressed deeper scientific and conceptual questions about AI systems, for example whether such systems can originate genuinely novel ideas and why proficiency can vary markedly across different kinds of tasks. He has also reported on firms applying AI methods to the design of tangible products, including spacecraft, automobiles and computer hardware.
For readers and the scientific community, the reassignment signals that one of the United States’ largest news organisations intends to treat AI developments through the methods and norms of science reporting: tracking experimental claims, assessing reproducibility and exploring how AI is integrated into disciplinary research.
As AI becomes increasingly embedded in laboratory workflows and scientific discovery, beat reporting that combines technical literacy with investigative rigour will be essential to explain nuanced advances and limitations to the public and policy-makers. By positioning an experienced technology correspondent within the Science desk, the Times appears to be responding to that need.
How this new beat will shape public understanding remains to be seen, but the editorial shift underscores a broader trend: AI is moving from industry press releases and product demos into the methods and practices that underpin scientific work.
