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Why speeding everything up might be the most suboptimal move of your career, and what separates the people who optimize from the people who just run
In 1967, at a suburban cocktail party, a fresh college graduate gets cornered by a man in a suit who offers him the most valuable advice of the night, distilled into a single word: "plastics." The scene, from The Graduate, became iconic because it captured something timeless: the way every generation gets told, with absolute conviction, which wave it should be riding.
Back then, the wave tasted like frozen food. It was the era of the TV dinner, instant mashed potatoes, the fish stick. The future of American cooking seemed destined to come out of a package, and the ambitious graduate got a clear assignment: invent a product that cooked faster, a preservative that lasted longer, a campaign that moved more cans. The tide was rising right in front of you. All you had to do was step into it.
Today the wave goes by another name. It's called artificial intelligence, and the advice that comes with it is structurally identical to the plastics pitch: do more, do it faster, automate everything you can. The watchword is efficiency, sold as the only rational move available. But there's a question the optimizer rarely hears over the noise: what if riding the wave is precisely the suboptimal move?
The Zen master Thich Nhat Hanh used to tell the story of a man galloping furiously across a field. Someone shouts, "Where are you going in such a hurry?" And the rider answers, "I don't know. Ask the horse." It's the sharpest portrait there is of the optimizer on autopilot: top speed, direction outsourced.
Efficiency is brilliant at one thing: maximizing whatever is easy to measure and deliver in the short term. The problem is that almost everything that actually compounds over time (judgment, craft, reputation, differentiation) never shows up on this quarter's dashboard. When you only optimize the measurable, you steadily drain the things that don't fit the metric. The productivity gain is real and immediate; the cost is diffuse, slow, and nearly invisible until the day you realize you've become interchangeable. The dashboard rewards whoever closes the most tasks, not whoever closes the right ones. And that's how the incentive quietly rewrites your strategy underneath you: you start chasing what the system knows how to measure instead of what actually moves the needle. The wave that seems to lift all boats also knows how to drown entire cities, and the only defense against that is a judgment you didn't delegate.
It's worth looking at someone who refused the wave. In the 1960s, a French culture student named Alice Waters took the least obvious path of all: she studied in Paris. What transformed her wasn't the food itself but the relationship to it. Parisians went to the market for the freshest produce, sometimes more than once a day. They paid extra for the good bread without complaint. And above all, they lingered: meals that stretched on for hours, with family and friends. At a restaurant in Brittany, Alice ordered fish, and the waiter showed her the trout just caught in the stream beside the restaurant before cooking it with vegetables picked from the garden.
Back in the United States, she found a desert: no market, no restaurant that sustained that way of living. The efficient move, there, would have been to improve the existing system from the inside: convince the fast food chains to use a better pickle. It would have been faster, cheaper, and infinitely more scalable, and it would have vanished without a trace, like so many of that decade's packaging innovations. Alice did the opposite. She concentrated everything on a single point, pursued to the point of obsession: she opened Chez Panisse, a restaurant that served fresh food in a setting that invited conversation. By Eboo Patel's account (he gave the address that prompted this piece), it was the country's first farm-to-table restaurant and the most influential American eating establishment of the past sixty years. A whole galaxy of celebrated chefs got their start in that kitchen. Every time you read "organic," "fresh," or the name of the farm your food came from, you're in a universe Alice built.
The "inefficient" bet (narrow, slow, handmade) became the highest-returning investment in the field in half a century. And the pattern repeats outside the kitchen. Brian Eno has a famous line about the Velvet Underground: the band wasn't influential because it sold millions of records, but because every one of the handful of people who bought a record walked away inspired to start their own band. Influence as a function of depth, not reach. Scale you can buy; depth you have to build.
The paradox, plainly
Here's the point that matters to anyone who optimizes. Efficiency is a means, and at some moment it gets quietly promoted to an end. That's where the game turns against you. By treating speed as the objective, you start optimizing what's cheap to measure and sacrificing what actually generates durable advantage. The asset that compounds isn't speed itself; it's the quality of your judgment about where speed matters.
In Islam there's a word for this kind of making: ihsan, sacred excellence, treated as the highest state one can reach, the exact opposite of the shortcut and the sense of entitlement. It isn't perfectionism or self-flagellation; it's the decision to do a few things in a way nobody can replicate on autopilot.
Picture a concrete case. Two analysts deliver the same report, on the same deadline. The first handed everything to the machine and skimmed the result; the second used the tool for the grunt work and spent the hours left over seeing what the numbers didn't say. On the productivity dashboard, the two perform identically. Six months later, only one of them has built a read on the market nobody else had. Efficiency treated them as interchangeable. The market didn't. And it's the market that pays.
Meta-optimization, then, isn't speeding everything up. It's deciding, coldly, where not to be efficient. In an era when anyone can produce more and faster, the edge stops being volume and becomes discernment: what deserves excellence and what can be handed to the machine. Delegate the commodity. Keep the judgment, the taste, the relationship for yourself: the things nobody outsources without losing their own signature. The professional who survives the wave isn't the one who produces faster than the AI; it's the one who knows exactly where their hand is still worth more than the tool's. Riding the tide without asking that question is repeating the rider's mistake: confusing acceleration with strategy.
And there's a payoff no dashboard records. In the penultimate episode of the second season of The Bear, Sydney, the sous-chef at a fine-dining restaurant, notices that her colleague Natalie is on the verge of collapse from exhaustion. She offers to make her an omelet. The camera lingers on every detail: the whisked eggs, the buttered pan, the cheese spread down the center, the chopped chives, the smile as the plate is handed over. "That was the best part of my day," Sydney says. The restaurant dreams of a Michelin star, but the motivation was never the prize. The star, when it comes, is a consequence of the craft, never the other way around. Excellence finds its final destiny in service to another person.
Maybe a machine will one day make the omelet. What it doesn't do is turn the act into care. It was the Roman philosopher Seneca who left the reminder: "While we live, while we are among human beings, let us cultivate our humanity." Optimization that forgets what it's for is just a horse galloping across an empty field. The question that matters was never how fast you run. It's whether you still know where you're headed.
If you lead a team: the pressure for output is the most common way to kill excellence without noticing. Identify the work that truly differentiates your team and protect that time from the "deliver more" logic. Measure the things that take time to compound too (quality, trust, retention), not just what fits in the weekly report.
If you're under productivity pressure: take inventory of your day and sort it into two piles: what's commodity (replicable, interchangeable) and what carries your signature. Speed up the first without guilt. Slow down the second on purpose. That's where your non-substitutable value lives.
If you're adopting AI into your workflow: draw the line before you delegate. Use the machine for volume and repetition, and deliberately retain the judgment, the taste, and the final call. The competitive edge isn't producing faster than everyone else; it's knowing where your hand is still worth more than the tool's.
If you're a founder or strategist: resist the urge to improve the existing system from the inside when the higher-returning move is to concentrate everything on a single domain of excellence. The narrow, well-made bet beats the attempt to optimize the average over the long run. Depth beats reach once time enters the equation.
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