Government R&D Drives Breakthroughs, Not Startups

The conventional narrative of American innovation, often centered on Silicon Valley startups and venture capital, overlooks a foundational element: government investment. This conversation with Paolo Surico reveals a stark reality: the most transformative breakthroughs--from penicillin to the internet--were not born from term sheets but from government grants. The hidden consequence of this oversight is a misallocation of resources and a misunderstanding of where true technological leaps originate. For leaders, policymakers, and innovators who want to understand the engine of sustained economic growth and technological leadership, this analysis offers a critical reframing, highlighting how high-risk, high-reward public R&D, particularly when channeled through universities and research institutes, crowds in private investment and generates disproportionately large returns. Ignoring this mechanism means missing the primary driver of post-war US productivity gains and potentially jeopardizing future leadership.

The High-Risk, High-Reward Engine of Breakthroughs

The prevailing image of innovation is one of private enterprise, venture capital, and the entrepreneurial founder. Yet, as Paolo Surico meticulously details, the bedrock of American technological advancement for decades has been publicly funded research. The Vannevar Bush report, "Science, The Endless Frontier," laid out a blueprint in 1945: government sets the direction through funding, research institutes and universities push the boundaries of knowledge without commercial constraints, and the private sector commercializes these discoveries. This symbiotic relationship, Surico argues, is the engine that has driven American productivity and economic leadership.

The empirical evidence is striking. While government-funded patents constitute a mere 2% of all patents filed post-WWII, they account for approximately 20% of medium-term fluctuations in total factor productivity and GDP growth. This isn't due to a few isolated successes, but rather the inherent nature of government-funded R&D. It embraces high-risk, high-reward projects that the private sector, driven by profitability and market share protection, is often unwilling or unable to undertake.

"The government takes on the uncertainty and fixed costs that the private sector will not bear, accepting a large number of failures in order to find the breakthroughs that private capital would never have funded."

This mechanism is crucial. Private firms, particularly incumbents, have a vested interest in protecting their existing market positions. Disruptive innovation, by its nature, threatens these positions. Startups, on the other hand, are the natural vehicles for such disruption. When the government funds startups, it provides not only capital but also a mission-oriented direction. This allows them to pursue high-impact innovations that may not offer immediate, guaranteed profitability but have the potential for massive societal and economic returns. The key insight here is that government funding doesn't just support innovation; it actively crowds it in. For every dollar of public R&D, roughly another dollar of private investment follows, often as talent transitions from publicly funded institutions to commercialize these foundational discoveries. This "crowding in" effect is why the return on public R&D is more than double that of private R&D.

The Unseen Value of Basic Research and Non-Profits

The data reveals a critical distinction in where government funds are most effective. Innovations funded by agencies like the National Institutes of Health (NIH) and the National Science Foundation (NSF) show a stronger link to productivity growth than, for instance, defense-funded innovation. This isn't because health or basic science is inherently more productive, but because these agencies tend to fund more fundamental, frontier-pushing research. This basic research, unconstrained by immediate commercial goals, generates the largest spillovers.

Furthermore, the paper highlights the outsized impact of non-profit organizations, primarily universities and research institutes, in channeling government funds. These institutions are better positioned to conduct basic research and foster the ecosystem that attracts private investment. When government funds flow to these non-profits, the resulting innovation has a significantly larger impact on productivity and living standards compared to innovation developed by for-profit organizations.

"The result is not that health research is inherently more productive than defence research; it is that both the NIH and NSF fund more basic, frontier-pushing work, and that basic research generates the largest spillovers regardless of the department that pays for it."

This challenges the notion that success in innovation is solely about commercial acumen. It underscores the vital role of foundational scientific inquiry and the institutional structures that support it. The distinction between immediate profitability and long-term societal benefit is stark: private capital prioritizes the former, while public R&D, when structured correctly, aims for the latter, leading to broader economic gains.

The Shifting Landscape: AI and the Risk of Profitability Over Progress

The current landscape, particularly with the rise of Artificial Intelligence (AI), presents a potential break from this historical pattern. For the first time, a general-purpose technology is being driven primarily by private capital. This influx of private funding is drawing the best scientific talent away from universities and research institutes and into industry.

This shift carries a significant risk: if the direction of innovation becomes permanently shaped by profitability rather than broad productivity and living standards, the societal benefits could be diminished. While AI promises immense advancements, if its development is solely dictated by profit motives, we may see a proliferation of profitable AI firms but not necessarily the same aggregate productivity and standard-of-living gains that previous, government-guided industrial revolutions delivered. The historical advantage of the US lay in its public sector's ability to shape innovation's direction. A future dominated by private capital risks prioritizing lucrative applications over foundational breakthroughs that benefit society broadly.

"If AI is going to be driven by private investment, it is reasonable to expect that the direction of innovation is also going to be driven by the private sector and therefore by profitability. So one possible scenario is that we are going to see many AI profitable firms, high valuation among firms, but not necessarily that benefits of aggregate productivity and aggregate standard of living that previous industrial revolutions have had because of the leading role of the public sector."

This dynamic also highlights why evaluating public R&D solely on its failures (like Solyndra) or successes (like Google's early reliance on public research) is misleading. The government's strategy is inherently high-risk, high-reward. It must accept a significant failure rate to uncover the transformative breakthroughs. A systematic analysis of the entire portfolio is necessary to understand its true impact. The recent cuts to US federal science funding, therefore, represent a direct threat to this engine of innovation, potentially undermining technological leadership and long-term economic prosperity.

Key Action Items

• Advocate for sustained, robust federal R&D funding: Recognize that cuts to agencies like NIH and NSF have long-term, potentially dramatic consequences for productivity and technological leadership. (Immediate action, ongoing investment)
• Prioritize funding for basic and fundamental research: Understand that this type of research, unconstrained by immediate commercial goals, generates the largest spillovers and drives transformative breakthroughs. (Immediate action, long-term investment)
• Foster partnerships between public research institutions and startups: Actively support mechanisms that allow talent and discoveries from universities and research institutes to transition into commercial ventures. (Ongoing investment, pays off in 1-3 years)
• Rebalance public spending towards R&D and venture-style support for later-stage startups: For regions like Europe, shift procurement-heavy spending towards public R&D that acts as venture capital, crowding in private investment for scaling up innovations. (Immediate shift in strategy, pays off in 3-5 years)
• Develop frameworks to evaluate public R&D portfolios holistically: Move beyond anecdotal evidence of successes and failures to understand the average impact of high-risk, high-reward government investments. (Immediate analytical shift)
• Encourage private sector AI investment to consider societal benefit alongside profitability: While acknowledging the profit motive, explore incentives or frameworks that align private AI development with broader societal and productivity goals. (Long-term strategic consideration, pays off in 5-10 years)
• Invest in talent pipelines from research institutions to industry: Ensure that the best scientific minds are supported in moving from foundational research to commercialization, whether through public or private ventures. (Immediate action, ongoing investment)