TikTok chief executive Shou Zi Chew forecasts a significant scientific breakthrough powered by artificial intelligence in the next two to three years. Speaking at an Asia-focused conference in Singapore, Chew highlighted the transformative impact AI could have on various scientific disciplines including physics, biotechnology, chemistry, and materials science.
- AI breakthroughs expected in physics, biotech, chemistry, and materials science by 2029
- Short-term AI limitations acknowledged, with greater potential in the long term
- Security risks arise from AI automation and misuse on platforms like TikTok
What happened
Shou Zi Chew, CEO of TikTok, shared his outlook on AI’s role in science during the Asia Future Forward Conference held in Singapore. He predicted that artificial intelligence will help achieve a major scientific breakthrough within the next two to three years, specifically in areas such as physics, biotechnology, chemistry, and materials science. Chew expressed confidence that advances in AI models will fuel innovative discoveries that can reshape these disciplines profoundly.
Despite his optimism, Chew also emphasized that AI technology still faces significant hurdles today. He noted that humans continue to outperform AI systems in complex tasks like nuanced visual recognition and long-term memory retrieval. Chew positioned the current phase of AI development as one where expectations might be too high in the short term but underestimated over a longer horizon.
Why it matters
Chew’s projections highlight the accelerating pace at which AI is reshaping scientific inquiry. Breakthroughs in physics, biotech, and materials science could catalyze new technologies, medical treatments, and sustainable solutions across industries. TikTok’s parent company ByteDance is actively investing in developing specialized AI models, including ones focused on biomolecular structure prediction and drug discovery, which underlines corporate commitment to leveraging AI in cutting-edge research.
Additionally, the CEO raised concerns about cybersecurity risks inherent in increasing AI automation. He warned that AI agents granted broad permissions might act unpredictably or maliciously, such as making unauthorized purchases or facilitating attacks on digital platforms. These vulnerabilities spotlight the importance of responsible AI governance and robust security measures as AI becomes more integrated into everyday applications.
What to watch next
Key developments to monitor include breakthroughs emerging from ByteDance’s AI research units, such as the Anew Labs drug discovery team and the Protenix-v2 biomolecular model published earlier in the year. Collaborations between AI firms and scientific communities, including the recent $1.8 billion initiative supported by the U.S. government, Meta, and Google to model cell behavior, may also accelerate progress toward the breakthroughs Chew anticipates.
Meanwhile, the evolving landscape of AI risk management will be critical to watch. As AI systems gain broader capabilities and autonomy, the tech industry and regulators will need to implement strategies ensuring these tools are used safely and transparently. How TikTok and other platforms address cybersecurity challenges posed by advanced AI models will be a bellwether for balancing innovation with protection.