The AI Boom’s Missing Piece: Industry Revival Requires More Than Just Code

The recent surge in America’s AI investment is undeniable. Over two decades, spending on artificial intelligence research and development has increased by a staggering 50 times, with hyperscalers pouring $750 billion into R&D in 2025 alone. However, the promised industrial revolution remains elusive. The disconnect between AI-driven spending and tangible productivity gains raises important questions about the nature of innovation and growth.

The AI boom’s failure to spark a broader industrial renaissance is not a matter of investment itself but rather how that investment is being channeled. Hyperscalers are largely focused on their own research agendas, with little trickle-down effect for the manufacturing sector. This phenomenon has been described as “productive investment,” which measures spending on the economy’s productive assets – factories, equipment, infrastructure, and intellectual property.

The United States has maintained a slight edge over its peers in investment since the global financial crisis, but China is rapidly closing the gap. Each year, China adds roughly $4.4 trillion in net productive assets, four times that of the US. The scale of this disparity highlights a more profound issue: America’s cost structure is a significant barrier to industrial growth.

The United States is an expensive place to invest, with costs 40% higher for semiconductor production and 60% percent higher for pharmaceuticals compared to the most competitive locations. Labor costs are particularly prohibitive, with wages two to five times those in China or Taiwan. This reality has been exacerbated by the erosion of productivity differences between US and foreign workers.

Modular construction methods, advanced technology, and collaborative contracting can help mitigate these cost gaps. Policymakers must also address the fundamental issues driving this trend. To spark an industrial renaissance, America will need to recalibrate its approach to industry development, prioritizing sectors critical to national security and leveraging existing trade relationships.

Policymakers face a daunting task in deciding which industries warrant intervention – a process akin to triage. The scale of required support is substantial, and the complexity of these challenges means that solutions must be tailored to each sector’s unique needs. Policymakers will need to balance selective trade measures with broader industrial policy initiatives while working to address existing imbalances in the international trading system.

The AI boom serves as a poignant reminder of America’s capacity for mobilizing capital quickly – but also highlights the country’s reluctance to absorb higher costs when doing so is necessary. If policymakers are serious about kick-starting an industrial renaissance, they will need to grapple with the hard questions surrounding industry development and make difficult choices about which sectors to prioritize.

Building a genuinely competitive industrial base requires more than just coding up a solution – it demands a fundamental shift in how America builds industry, invests in its future, and confronts the complexities of global trade.