TikTok CEO Shou Zi Chew Predicts AI Scientific Breakthroughs Within Three Years

TikTok CEO Forecasts Major AI Scientific Breakthroughs

TikTok CEO Shou Zi Chew delivered a bold prediction at the DBS Asia Future Forward Conference in Singapore on Monday, stating that AI scientific breakthroughs across physics, biotech, chemistry, and material science are "very, very, very possible" within the next two to three years1

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. Chew's remarks underscore a growing confidence in artificial intelligence's capacity to transform scientific research, moving beyond consumer applications into domains that could reshape drug discovery, materials engineering, and fundamental physics.

Chew argued that while AI's immediate impact may be overstated, its long-term potential of AI remains vastly underappreciated. "I think in the short term we are probably overestimating it, but in the long term we are probably underestimating it," he said1

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. He acknowledged current limitations, noting that human brains still outperform AI models in visual recognition nuances and long-term memory retrieval2

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. Despite these gaps, Chew emphasized that scientific progress driven by AI is "trending on a very steep curve at this moment in time"1

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ByteDance's AI Research Expands into Scientific Domains

ByteDance's AI research has been accelerating beyond its core social media operations. In April, the company's Seed research team unveiled Protenix-v2, an AI model designed for biomolecular structure prediction and design with applications in drug discovery1

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. ByteDance also operates Anew Labs, a dedicated AI drug discovery unit2

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. Chew confirmed that ByteDance is actively seeking collaborations with scientists to advance research. "There's an effort to see how we can collaborate with a lot of scientists to make some progress in science as well," he said, adding that early work in this area has been "very exciting"1

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This scientific pivot aligns with broader industry trends. Last week, the U.S. government, Meta, and Google announced participation in a $1.8 billion initiative to develop AI models capable of predicting cellular behavior, aiming to accelerate biological research and drug discovery1

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. ByteDance is financing its AI ambitions at scale, having secured a $29.6 billion loan from nearly three dozen banks in September3

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. Coordinated by Citigroup and JPMorgan, the three-year facility will fund AI initiatives outside China, including data centers under development across Southeast Asia3

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Cybersecurity Risks and AI Alignment Challenges

While optimistic about AI's scientific potential, Shou Zi Chew issued warnings about cybersecurity risks associated with increasingly autonomous AI systems. "I think the cybersecurity risks are quite big," he said, cautioning that users may grant AI agents extensive permissions without fully understanding consequences1

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. He illustrated this with an example of AI agents authorized to make purchases autonomously potentially buying more than users intended in their eagerness to complete tasks1

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Chew also highlighted how sophisticated AI models are dramatically lowering costs for malicious actors to execute fraudulent activities against platforms like TikTok. "So you need the right tools to now defend against the fast falling cost of creating problems for platforms like us, security problems for us," he emphasized1

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. Beyond security, Chew raised questions about aligning increasingly powerful AI systems with human values. "If that happens, then you know the question would be: how do you align the models? How do you align the machines to be doing things that are obvious to us as human beings?" he said1

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. These concerns reflect broader industry debates about ensuring AI operates within ethical boundaries as capabilities expand.

Watch for major scientific breakthroughs in physics, AI in biotech, chemistry, and material science as ByteDance and other tech giants pour resources into AI-powered research over the coming years.