How US Could Win AI Race But Still Lose Tech Contest to China

A version of this article appeared on Bloomberg News.

Washington has woken up to the importance of the artificial intelligence race against China. Plans centre on massive data centre construction, corporate partnerships and controls on advanced chips. Yet AI alone may not secure overall technological superiority.

The United States dominated innovation for decades. China has narrowed the gap through sustained investment in research and industrial capacity over the past 20 years. A think tank study shows the shift in leadership across key fields.

Australia Strategic Policy Institute research tracked 64 frontier technologies. Two decades ago the United States led in 61 of them. Three years ago China had taken the lead in 57.

The technologies where China holds advantages include drones, biotechnology and quantum computing. Manufacturing capacity also plays a decisive role beyond pure invention.

Data centres represent one visible part of the AI push. They require substantial construction and power infrastructure that ties directly into broader industrial strategy. Similar physical assets support other technology areas.

Corporate partnerships and regulatory adjustments aim to accelerate American AI development. Export controls on chips and models add another layer of the current approach.

The Bloomberg analysis notes that prevailing in the wider tech race demands attention across multiple domains. AI is important but not the only general-purpose technology shaping future power balances.

Industrial policy in the United States has evolved in response to these dynamics. Efforts to bolster domestic manufacturing complement research investment in emerging fields.

China’s progress stems from long-term planning that integrates research, production and deployment. The United States retains strengths in certain innovation ecosystems but faces challenges in scaling some technologies.

Observers point to the need for balanced strategies that address both software breakthroughs and hardware ecosystems. Construction of supporting infrastructure from factories to energy systems remains critical across all areas.

The article highlights that winning AI does not automatically translate to dominance in the full spectrum of strategic technologies. Sustained effort across the board will determine long-term outcomes.