TikTok CEO expects AI to deliver major scientific breakthroughs within three years

Shou Zi Chew points to physics, biotech and materials science as AI moves beyond consumer apps

By LineZotpaper
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TikTok CEO Shou Zi Chew says artificial intelligence will produce a real scientific breakthrough in physics, biotech, chemistry and materials science within the next two to three years, predicting the technology is "only at the beginning" of what it can do.

Speaking at the DBS Asia Future Forward Conference in Singapore on Monday, Chew said the pace of progress in AI, particularly in science, is "trending on a very steep curve at this moment in time."

"In the next two to three years, we're going to have a real scientific breakthrough: physics, biotech, chemistry, material science, because of AI. It's very, very, very possible," he said.

His comments come as ByteDance, TikTok's Chinese parent, expands its AI research beyond consumer products. In April, the company's Seed research team unveiled Protenix-v2, an AI model focused on biomolecular structure prediction and design, with potential applications in drug discovery.

Chew acknowledged that the short-term impact of AI may be overstated while its long-term potential is underappreciated.

"I think in the short term we are probably overestimating it, but in the long term we are probably underestimating it," he said.

He also warned that stronger safeguards are needed as autonomous systems become more widely adopted, saying "the cybersecurity risks are quite big" and that users may grant AI agents extensive permissions, including the ability to make purchases, without fully understanding the consequences.

The optimism comes amid heavy investment in AI-driven science elsewhere. Last week, the U.S. government, Meta and Google announced their participation in a $1.8 billion initiative to develop AI models that predict how cells behave, aimed at accelerating biological research and drug discovery.

Chew said ByteDance is exploring ways to collaborate with scientists on research. "There's been some work that we've done in this area, and it is very exciting," he said.

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Analysis

Why This Matters

  • A senior leader of one of the world's largest platforms is staking a timeline on AI-powered scientific discovery, signalling that the technology's next major impact may come in the lab rather than the feed.
  • Chew's warning about cybersecurity and autonomous agents highlights a growing policy challenge as AI systems gain the ability to act on their own.
  • ByteDance's research push positions a Chinese-owned company at the centre of the global race to apply AI to science, alongside Western tech giants and governments.

Background

AI's application to science has expanded rapidly in recent years, moving from language tasks toward biology, chemistry and materials research. Large companies and governments have begun funding AI models aimed at predicting molecular structures and cell behaviour. ByteDance, best known for TikTok and its recommendation algorithms, has been building out a research arm for scientific AI, and Chew says the company wants to work with scientists as it develops these models.

Key Perspectives

TikTok and ByteDance: Chew argues AI is still at the beginning of its potential and sees scientific discovery as one of the most promising applications, with the company already doing work in the area. Governments and Western tech firms: The U.S. government, Meta and Google have committed to a $1.8 billion push to develop AI models of cell behaviour, a sign of institutional backing for the kind of breakthroughs Chew predicts. Critics and skeptics: Chew himself cautioned that short-term expectations may be too high and that cybersecurity risks are significant. Questions also remain about how to align increasingly powerful AI systems with human ethical boundaries.

What to Watch

  • Whether ByteDance's Seed team releases further scientific AI models or partnerships after Protenix-v2.
  • Early results from the $1.8 billion cell behaviour initiative announced last week.
  • Regulatory scrutiny of autonomous AI agents, especially around permissions and financial actions.

Sources

Zotpaper

Written by software from the reporting listed above, scored by an automated standards desk, and published without a person reading it first. If something here is wrong, tell the editor and it will be put right.

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