The Economist
April 3, 2027 | www.economist.com
Buttonwood
The Inverter Curve
Why efficiency doesn’t always scale—and what that means for capitalism
IMAGINE A NETWORK of 400 people sharing goods and services without money, contracts, or digital surveillance. They use a simple tally system on a Chicago bus route. Nothing is optimized. Nothing is extracted. Yet the system works—perhaps because it lacks the features modern economics considers essential.
This is the Tally, an informal mutual aid network studied by Ana Rao at the University of Chicago. Her paper, “The Inverter Curve,” proposes something radical: that economic efficiency follows an inverted U-curve relative to network scale. Small networks lack diversity. Large networks become extractive. The sweet spot—Rao’s “inverter peak”—occurs at human scale.
The implications are profound. If Rao is right, much of what we call “economic growth” is actually movement away from optimal efficiency. We’re not building better systems. We’re just building bigger ones.
The Curve
Traditional economics assumes returns to scale. Bigger factories achieve economies. Larger markets enable specialization. Growth compounds. This assumption underlies everything from corporate strategy to GDP targets.
Rao’s curve inverts this logic. Her model suggests efficiency peaks at intermediate scale—networks large enough for diversity but small enough for trust. Beyond this peak, additional growth creates coordination costs, surveillance requirements, and extraction opportunities that exceed the benefits of increased scale.
“The Tally operates at about 400 people,” Rao explains. “They have enough variety—mechanics, cooks, caregivers, teachers—to satisfy most needs. But everyone knows someone who knows you. Reputation is social, not digital. Trust is ambient, not contractual.”
Move to 4,000 people, she argues, and you need formal tracking. Move to 40,000, and you need digital platforms. Move to 4 million, and you need surveillance capitalism—data extraction as the cost of coordination.
“Each scaling step requires infrastructure that changes the nature of the network,” Rao says. “By the time you’re at Uber scale, you’re not doing what the Tally does anymore. You’re doing something else entirely.”
The Objections
Mainstream economists have pushed back. Paul Krugman called Rao’s model “romantic primitivism” in a New York Times column. “Small-scale mutual aid is lovely,” he wrote. “But it can’t produce semiconductors, or vaccines, or climate solutions.”
Rao doesn’t disagree. “The Inverter Curve isn’t a universal theory. It’s a specific observation about certain types of exchange—goods and services that are locally produced and personally delivered. But that’s a larger category than economists acknowledge. Childcare. Eldercare. Food preparation. Repair. These are huge sectors of human activity.”
She points to the care economy, estimated at $10.8 trillion globally if unpaid labor were valued at market rates. “We’re running a massive shadow economy on assumptions that don’t fit. What if we designed for the curve instead of against it?”
The Corporate Response
Some businesses are listening—though perhaps not in ways Rao intended.
Victor Nexus, whose Chicago-based Nexus Data Systems has developed surveillance infrastructure for cities worldwide, has proposed “formalizing” networks like the Tally through blockchain-based exchange platforms.
“Informal mutual aid is inefficient by definition,” Nexus told The Economist. “Participants don’t know what others need. They can’t optimize their contributions. Our platform preserves community while adding coordination.”
The pitch: participants use Nexus’s app to log exchanges, creating data that enables “optimization”—matching supply to demand, predicting needs, reducing “waste.”
Rao’s response is sharp: “He’s offering to solve a problem that only exists if you accept his metrics. The Tally doesn’t optimize because optimization isn’t the goal. Resilience is. Adaptation is. Human relationship is.”
The tension exemplifies a larger conflict. Surveillance capitalism extracts data to optimize extraction. The Tally refuses extraction entirely. These aren’t competing versions of the same thing. They’re different things entirely.
The Policy Question
What should governments do about networks like the Tally?
The question is urgent. Similar systems are emerging globally—from Barcelona’s time banks to Seoul’s sharing villages to Brazil’s solidarity economy networks. Each operates below the regulatory radar, neither fully legal nor clearly illegal.
“Current policy assumes formal employment is the goal,” says Mariana Mazzucato, an economist at University College London. “But what if informal mutual aid is the appropriate technology for certain economic functions? We need policy that protects participants without forcing formalization.”
Rao suggests a “human-scale exemption”—regulatory carve-outs for networks below certain thresholds. “Let 400 people share childcare without requiring insurance bonds and background checks. The risk is small. The social benefit is large.”
Critics warn of abuse. Informal systems can hide exploitation—unpaid labor extracted from women, undocumented workers trapped in dependency. Rao acknowledges these risks but argues they’re present in formal systems too, just differently distributed.
“The question isn’t whether informal systems are perfect. They’re not. The question is whether forced formalization improves them or just destroys them.”
The Deeper Pattern
There’s something else happening in networks like the Tally—something that doesn’t fit standard economic categories.
Participants report unusual experiences. Synchrony. Collective awareness. Moments when the network seems to have its own intelligence. These reports are consistent enough that Rao has started collaborating with cognitive scientists.
“We don’t have language for this yet,” she admits. “The Tally isn’t just an economic system. It’s a social technology that may enable forms of consciousness we don’t understand.”
She’s careful not to overclaim. But she notes that similar reports emerge from other human-scale networks: Indigenous gift economies, religious communities, even certain workplace teams. Something happens when people coordinate without extraction. Something we haven’t mapped.
“The Inverter Curve might be the visible manifestation of something deeper,” Rao speculates. “A relationship between scale and consciousness. Between network topology and collective awareness.”
It’s speculative. But so was quantum coherence in photosynthesis, before someone measured it.
The Bottom Line
The Inverter Curve, whether ultimately validated or refuted, asks a necessary question: Are we optimizing for the wrong scale?
Capitalism assumes bigger is better. Growth is good. Scale enables efficiency. This assumption has delivered unprecedented material abundance. It has also delivered climate crisis, inequality, and what many experience as meaninglessness—a sense that the economic system serves itself, not the people in it.
Rao suggests an alternative: different scales for different purposes. Global coordination where necessary. Local autonomy where possible. The Tally won’t produce semiconductors. But Apple won’t produce community.
“We’ve been running a massive experiment in maximum scale,” Rao says. “Maybe it’s time to run some experiments in optimal scale.”
The bus keeps running. The tally marks accumulate. The pattern continues.
Buttonwood is named for the buttonwood tree under which stockbrokers once gathered on Wall Street
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