Latest / The Demographics Podcast with Fexingo: Aging Populations, Birth Rates, and Economic Impact / Why Older Workers Are Out-Innovating the Young
Transcript
- Lucas: There's a stat that's been bouncing around my head since I saw the data — workers over 55 are now filing patents at a higher rate than workers under 35. Luna: Wait, really? Because every Silicon Valley origin story I've heard involves twenty-somethings in a garage. Lucas: Right, the zuckerberg musk wozniak archetype is powerful. But a 2025 working paper from the National Bureau of Economic Research tracked patent filings by age over the last two decades. And the peak age for patenting has shifted from the late 30s to the early 50s. Luna: That's a pretty big pivot. What's driving it? Lucas: The paper offers a few hypotheses. One is that older workers simply have more accumulated domain knowledge — they've seen more problems, more failures, more institutional memory. Another is that industries like biotech, materials science, and industrial engineering reward deep expertise more than raw cognitive speed. Luna: So it's not that younger people are less creative — it's that the type of innovation that gets patented now is more complex and capital-intensive. Lucas: Exactly. The average patent today cites more prior art, covers a broader technological scope, and requires more regulatory knowledge. That plays to experience. The NBER study also found that older inventors' patents are cited more frequently and are more likely to be commercialized. Luna: Which means they're not just filing for the sake of filing — these are higher-quality patents. Lucas: The authors estimate that patents from inventors over 50 have about a 20 percent higher probability of being licensed or litigated, which is a proxy for economic value. That cuts against the narrative that older workers are past their innovative prime. Luna: How are companies responding to this? I'd assume most R&D cultures still skew young. Lucas: Some are quietly restructuring. A few large pharmaceutical companies — I'm thinking of Pfizer and Merck — have created 'emeritus inventor' tracks specifically for senior scientists. They offer reduced teaching loads, flexible hours, and guaranteed funding for their own projects. Luna: That's smart retention. If you can keep a 60-year-old who knows your entire chemical library, that's a huge competitive advantage. Lucas: And there's a fascinating program at the MIT Media Lab called the Gray Inventors Project. It pairs retired engineers — mostly from defense and aerospace — with early-stage startups. The idea is that the retirees bring systems-thinking and manufacturing expertise that the founders typically lack. Luna: I've heard of that. The startups get mentorship, but the retirees also get equity stakes in some cases. It's almost like a second career as a fractional CTO. Lucas: Exactly. And the results so far are promising. The program's data shows that startups matched with a gray inventor are about 30 percent more likely to reach a Series A within two years. That's a measurable outcome. Luna: That's huge. But I do wonder — is this a structural shift or just a blip? Could it be that the current cohort of 55-to-70-year-olds is unusually educated and healthy, and the next generation won't replicate this? Lucas: That's a fair question. The NBER paper addresses it with cohort analysis. They find that the age-innovation curve has been flattening and shifting right for successive birth cohorts. So it's not just the boomers — it seems like a durable trend. Luna: What about the societal implications? If innovation becomes more dependent on older workers, does that change how we think about retirement age or immigration policy? Lucas: It should. If countries like Japan and Germany are aging rapidly, they might actually have an innovation advantage if they retain and empower older workers. Conversely, countries with young populations but weak institutions might not realize their demographic dividend if they lack the experienced mentors to guide innovation. Luna: So the old 'young equals innovative, old equals stagnant' framework is basically dead. Lucas: I think it's more nuanced. Young people still excel at radical, paradigm-shifting ideas — the kind that create entirely new categories. But the incremental, high-value, commercializable innovation that drives GDP growth appears to be increasingly driven by experienced hands. Luna: That reminds me — you know, a handful of our listeners chip in monthly through buy me a coffee dot com slash fexingo, and that's literally what funds us making deep dives like this. No ads, no sponsors, just the economics of listener support. Lucas: Yeah, and it makes a real difference. We can spend time on a paper like this NBER study because we're not chasing advertiser-friendly hooks. If that kind of economics matters to you, the link is easy to remember. Luna: Alright, back to the data — one thing I found striking is that the patent value gap between older and younger inventors has actually widened since 2010. The study attributes that to the rise of software patents, which tend to be filed by younger teams but have lower average value. Lucas: That's a great point. Software patents are often tactical — they're for defensive portfolios or acqui-hire positioning. Whereas older inventors are disproportionately filing in pharma, medical devices, and advanced materials, where patents are more like mini-moats. Luna: So the type of innovation matters as much as the age of the innovator. Lucas: Right. And this has implications for how we measure national innovation capacity. Most countries use patent counts as a proxy. But if we weight by citation or litigation, the picture changes dramatically. The US and Japan look stronger, while some younger-population nations underperform. Luna: What about corporate R&D budgets? Should companies shift more resources to older researchers? Lucas: Some already are. A 2024 study by the Institute for Corporate Innovation found that companies with age-diverse R&D teams had higher patent to revenue conversion rates than those with uniformly young teams. The best outcomes came from teams with a mix of junior and senior researchers. Luna: So the prescription isn't 'hire only old people' — it's 'don't age-discriminate in your innovation pipeline.' Lucas: Exactly. And that's where policy can help. Things like tax credits for companies that retain older researchers, or funding for intergenerational mentorship programs in STEM fields. Luna: One more angle — what about older entrepreneurs? We've seen data that people over 50 are more likely to start successful companies. Is that connected to the patenting trend? Lucas: Very connected. Many of those older entrepreneurs are patent holders who spin out their inventions. The Gray Inventors Project is essentially formalizing that path. So the innovation and startup trends are two sides of the same coin. Luna: It makes you wonder — if we designed our education and career systems around the idea that peak innovation happens at 25, we might be leaving a massive amount of value on the table. Lucas: That's the uncomfortable takeaway. We've built a culture that venerates youth in innovation, but the data suggests that the most economically valuable ideas are increasingly coming from people who've been in the trenches for decades. The challenge is to design workplaces and policies that capture that value before it walks out the door. Luna: And that might be the real demographic dividend — not the young population, but the experienced one. Lucas: Well said. That's the conversation for today. We'll dig into more data next episode.