Latest / The Productivity Podcast with Fexingo: Output, Efficiency, and Long-Term Economic Growth / The Efficiency Trap When Optimization Kills Innovation
Transcript
- Lucas: You know the story of how Post-it Notes were invented? A 3M scientist named Spencer Silver was trying to develop a super-strong adhesive in 1968. He failed. He got a weak, reusable adhesive that nobody wanted. Luna: Right. And then another 3M researcher, Arthur Fry, was frustrated with bookmarks falling out of his church hymnal, and he realized Silver's failed glue could solve that. Lucas: Exactly. That failure to product pipeline is a classic example of why companies need slack — unallocated time and resources — for innovation to happen. But here's the thing: 3M itself has spent the last two decades systematically squeezing out that slack. Luna: You're talking about the efficiency push? Six Sigma, lean manufacturing, all that? Lucas: Exactly. In the 2000s, 3M adopted Six Sigma aggressively under CEO Jim McNerney, who came from GE. The company became more efficient — operating margins shot up. But the number of breakthrough products dropped. The famous '15 percent time' — where researchers could spend 15% of their workweek on pet projects — got eroded by time-tracking systems and cost targets. Luna: So they optimized themselves into a corner. They got great at incremental improvements, but the big leaps stopped coming. Lucas: That's the efficiency trap in a nutshell. When you measure and optimize every minute of every employee's day for current output, you eliminate the very thing that creates future output: unplanned experimentation, idle curiosity, even failure. Luna: But wait — isn't efficiency generally good? I mean, Toyota's production system is legendary for eliminating waste, and they've been innovative for decades. Lucas: Great point. Toyota is actually the counterexample that proves the rule. Taiichi Ohno, the father of the Toyota Production System, was obsessive about removing waste — muda, he called it. But he also insisted on maintaining a certain level of slack in the system, what the Japanese call 'yoi' — readiness. Luna: So Toyota deliberately kept some buffers. They didn't run the plant at 100% utilization. Lucas: Exactly. Ohno famously said that if you run a production line at full capacity, you have no room to stop and fix a problem when it arises. You need maybe 80% utilization to allow for continuous improvement — kaizen. That slack is where the learning happens. Luna: So the efficiency trap is about confusing optimization of the current process with improvement of the overall system. Lucas: Right. The economist John Hicks once said, 'The best of all monopoly profits is a quiet life.' But the opposite is also true: the best of all efficient operations is a brittle one. If you've squeezed out every bit of slack, you have no resilience. A single disruption — a supply chain hiccup, a new technology — can break you. Luna: There's a great example from the book 'The Myth of the Rational Market' — the story of Long-Term Capital Management. They were mathematically optimized, leveraged to the hilt, and then a small deviation in bond spreads wiped them out. Lucas: That's the financial version. But let's stick with corporate innovation. A study by Harvard's Gary Pisano found that companies with the highest R&D spending per dollar of sales actually had lower innovation output if they also had the most aggressive cost-cutting programs. The money was there, but the organizational culture didn't allow for the messiness of true discovery. Luna: So what's the right balance? How much slack should a company keep? Lucas: There's no magic number, but some research suggests that the most innovative companies allocate about 20% of their R&D time to exploratory, non-directed work. Google had its famous '20% time' — though in practice it was more like 10% — and that produced Gmail and AdSense. But even Google has pulled back on that in recent years as they've focused on core search and AI. Luna: So even the poster child for innovation has succumbed to efficiency pressure. Lucas: It's hard to resist. Public markets reward quarterly earnings. CEOs have short tenures. The pressures to show immediate, measurable results are immense. And efficiency is easy to measure — you can track cycle time, defect rates, cost per unit. Innovation is hard to measure. You can't put a KPI on a serendipitous conversation at the water cooler. Luna: That reminds me of the 'productivity paradox' we talked about in episode two — Robert Solow's quip that 'you can see the computer age everywhere but in the productivity statistics.' Maybe the same is true for innovation: you can see the efficiency gains everywhere, but the breakthrough innovations are invisible until they're not. Lucas: Exactly. And the trap is that efficiency gains show up immediately in the numbers, so managers double down. They cut more slack. They add more metrics. And then they wonder why their pipeline of new products is drying up. Luna: Is there a company that has managed to escape this trap? I'm thinking of Pixar — they famously have a 'braintrust' system where creative teams get unfiltered feedback, but also have the autonomy to pursue weird ideas. Lucas: Pixar is a great example. Ed Catmull, in his book 'Creativity, Inc.,' talks about how they deliberately avoid efficiency metrics in the creative process. They measure the health of the culture, not the output per hour. And they accept that many projects will fail — that's part of the cost of doing business. Luna: But can that work in a non-creative industry? Like, say, a logistics company? Lucas: It's harder, but not impossible. Consider Atlas Copco, the Swedish industrial tool manufacturer. They have a famous policy: every new product must be developed by a team that has at least 20% of its members who weren't part of the previous project. That's a structural way of forcing cross-pollination and preventing the kind of incrementalism that comes from an optimized team. Luna: So it's about designing slack into the system, not just hoping it emerges. Lucas: Right. You have to protect it from the efficiency machine. That means having a separate budget for exploration, separate metrics, even separate physical spaces. Bell Labs in its heyday had a deliberate policy of putting scientists from different disciplines in the same building, with long hallways and common areas designed to spark random conversations. Luna: And that environment produced the transistor, the laser, the Unix operating system. But Bell Labs also had a monopoly-funded budget that didn't worry about quarterly earnings. Lucas: That's the catch. Slack is expensive. In a competitive market, it's a luxury. But I'd argue it's an investment with a huge option value. The companies that maintained their innovation capacity through the efficiency-obsessed 2000s — like Apple, Amazon, and Tesla — are the ones that now dominate. Luna: Let's talk about Apple. Tim Cook is famous for operational efficiency — he streamlined Apple's supply chain to an incredible degree. But the company still invests heavily in R&D without a clear short-term payoff. The Vision Pro headset, for example, is a long bet. Lucas: Exactly. Cook is a supply chain genius, but he also understands that you can't cut your way to the next iPhone. Apple's R&D spending has actually increased as a percentage of revenue in recent years, even as their margins have stayed high. They're consciously allocating slack to future bets. Luna: So the key insight might be this: efficiency is a tactic, not a strategy. It's about how you do things, not what you do. And if you optimize the how too much, you limit the what. Lucas: That's beautifully put. And it ties into something the economist William Baumol wrote about — the cost disease. He argued that in sectors like education and healthcare, productivity gains are inherently limited because the 'product' is so labor-intensive. But I think there's a parallel: in innovation, the 'product' is inherently uncertain, so you can't optimize for it the way you optimize a factory line. Luna: So what should a manager listening to this do on Monday morning? Lucas: First, audit your slack. Look at your budget: what percentage is allocated to projects with no expected return in the next 12 months? If it's less than 10%, you're probably too tight. Second, measure innovation differently. Don't just count patents or new products launched — measure the number of experiments run, the number of ideas that were killed early, the diversity of projects in the pipeline. Luna: And third, protect the weirdos. The people who seem to waste time, who go down rabbit holes, who ask 'what if' instead of 'how much.' Lucas: Yes. Those are the ones who will save you from the efficiency trap. But they're also the first to be cut in a cost-reduction drive. So you have to be intentional about protecting them. Luna: I think there's also a lesson for individuals. In our own careers, we can fall into the efficiency trap — optimizing our day for maximum output, checking off tasks, and never leaving time for learning or exploration. Lucas: Totally. The most successful people I know schedule 'white space' in their calendars. They block out two hours a week for reading, thinking, or just talking to someone outside their field. That's their personal slack. Luna: So the takeaway is: don't be the most efficient version of yourself. Be the most curious version. Because curiosity is what generates the next Post-it Note. Lucas: And that's the productivity paradox we keep circling back to on this show. True long-term productivity growth doesn't come from squeezing more output out of existing processes. It comes from creating entirely new processes, new products, new ways of doing things. And that requires slack. Luna: So next time your boss asks you to fill out a timesheet in 15-minute increments, maybe resist a little. Lucas: Or at least pencil in some 'miscellaneous' time for serendipity. I'm Lucas. Luna: And I'm Luna. Thanks for listening.