Innovation has a public image: the flash of insight, the visionary founder, the elegant idea that changes everything overnight. It is a flattering image, and it is mostly wrong. The truer story is less romantic and far more useful, and BYD tells it precisely.
BYD did not begin as a car company. It began, in the 1990s, as a maker of rechargeable batteries. When it moved into automobiles, it was bad at making cars — the early products were, by the assessment of nearly everyone including Elon Musk, unimpressive. BYD became the world’s leading electric vehicle company not despite being bad at cars, but by mass-producing its way through being bad: thousands of repeated, unglamorous manufacturing cycles that compounded, over fifteen years, into a capability no competitor could quickly match.
This is where innovation actually comes from. Not from the task you are already good at. From repeating, at volume, the task you are bad at, until you are not. And it is close to the opposite of what most leaders believe.
The battery maker who was bad at cars
BYD’s origin as a battery manufacturer matters, but not for the reason usually cited. The usual story is that batteries gave BYD a head start on the most expensive component of an EV. True, but incomplete. The deeper point is what battery manufacturing taught BYD as an organization: how to reduce unit costs through vertical integration, how to bring key machinery in-house, how to grind down the cost of a repeated physical process cycle after cycle.
That capability — the ability to mass-produce a physical thing at relentlessly falling cost — was transferable. When BYD applied it to cars, it was initially bad at cars specifically, but it already knew how to get good at mass-producing something it was bad at. It had built the meta-capability: the organizational muscle for improving a repeated process at volume. Cars were just the next thing to point that muscle at.
The early cars were poor. Then they were less poor. Then, cycle after cycle, integration after integration, cost reduction after cost reduction, they became the vehicles that overtook Tesla in global EV sales. The innovation was not a flash. It was the compounding output of mass-producing through incompetence until incompetence became dominance.
Why repetition of the hard thing is the engine
The counterintuitive claim is that innovation comes disproportionately from mass-producing the task you are bad at, not the task you are good at. The reason is mechanical.
The task you are already good at has little improvement left in it. Each repetition yields a small marginal gain because you are near the top of that capability’s curve. The task you are bad at is steep with improvement. Each repetition, at volume, yields large marginal gains — because you are at the bottom of the curve, where the learning rate is highest. Mass-producing the thing you are bad at is how you climb the steepest part of the capability curve, and the steepest part is where the innovation lives.
But there is a precondition: you have to do it at volume. A single attempt at the hard thing teaches almost nothing. It is the mass production — the thousands of cycles — that converts being bad at something into being the best at it. Repetition without volume is practice; repetition at volume is innovation, because volume is what turns individual learning into compounding organizational capability that competitors cannot copy from the outside.
Why most leaders believe the opposite
Most leaders organize their companies to do more of what they are already good at and to avoid, outsource, or minimize what they are bad at. This is locally rational and strategically fatal. It optimizes the flat part of the capability curve and abandons the steep part — the exact part where transformative capability is built.
The instinct to outsource the thing you are bad at is especially costly. Outsourcing the hard task hands the steep part of the learning curve to your supplier. They climb it; you pay them for the altitude. You remain permanently bad at the thing, permanently dependent on the party who mass-produced their way to being good at it. BYD’s obsessive vertical integration — bringing even the machinery in-house — was a refusal to hand anyone else the steep part of the curve. They insisted on being bad at everything themselves, at volume, until they were good at everything themselves.
This is why the romantic image of innovation is so damaging. It tells leaders that innovation is a flash of brilliance to be captured, rather than a capability to be built through the unglamorous mass repetition of things you are currently bad at. The flash-of-brilliance frame makes the steep part of the curve — the hard, repetitive, initially embarrassing work — look like a problem to be avoided, when it is actually the entire source of the advantage.
The AI application
This has a sharp and immediate consequence for how organizations build AI capability in 2026.
Most enterprises are bad at AI right now. The rational-feeling response is to minimize the exposure: run a few pilots, outsource the hard parts to vendors and consultants, avoid the embarrassment of doing it badly at scale. This is the flat-curve instinct, and it guarantees the organization stays bad at AI while paying others to climb the steep curve.
The BYD lesson is the opposite: mass-produce your way through being bad at AI. Do it at volume, across every function, badly at first, in thousands of repeated cycles — because that volume of repetition is the only thing that converts organizational incompetence at AI into organizational dominance. The companies that will own AI capability in five years are not the ones running the cleanest pilots. They are the ones doing AI badly at massive volume right now, climbing the steep part of the curve while their competitors outsource it and stay flat.
Mapped to the Mutation Readiness framework
Innovation-through-mass-repetition maps onto three dimensions of the Mutation Readiness diagnostic — the operational instrument of the Mutation transformation practice we run for enterprise leaders.
AI Talent Flywheel — the flywheel is literally a mass-repetition engine. AI literacy compounds across functions only through volume of repeated practice — people doing AI work badly, then less badly, then well, in thousands of cycles distributed across the organization. A flywheel is the organizational form of mass-producing your way through being bad at something. Outsourcing the hard part is exactly what stops the flywheel from ever spinning.
Structural Flexibility — BYD’s vertical integration was a structural choice to keep the steep part of every capability curve inside the organization. Structural Flexibility is the capacity to reshape around the things you are building capability in, rather than locking your structure to the things you are already good at. The organization that mass-produces through being bad at new things stays structurally reshapeable; the one that outsources them ossifies around its existing competencies.
Ambidextrous Capital — mass-producing through being bad at something is an explore bet that looks like waste on the financial clock. Thousands of low-quality early cycles have poor unit economics by definition. Ambidextrous Capital is the discipline of funding that volume of deliberately-bad repetition as an explore investment, rather than killing it for the poor early returns that are the necessary cost of climbing the steep curve.
The signals your organization is missing right now
The master signal is what your organization does with the things it is bad at. Every capability you are avoiding, minimizing, or outsourcing because you are bad at it is a steep curve you are declining to climb — and handing to someone else.
Look for the specific tells. Which strategically important capabilities is your organization outsourcing specifically because you are bad at them? Where are you running small, careful pilots of something you should be mass-producing badly at volume? Which of your competitors is grinding through being bad at something, at scale, right now — building the compounding capability you are declining to build? Each is a place where the innovation is being built by someone else because you found the steep part of the curve too uncomfortable to climb.
Three practical questions
One: what strategically important thing is your organization bad at — and are you mass-producing through it, or avoiding it? The capabilities you avoid because you are bad at them are the exact ones with the steepest improvement curves. Avoiding them is abandoning your largest available source of compounding advantage.
Two: what are you outsourcing that you should be doing badly, at volume, yourself? Every hard capability you outsource hands the steep part of the learning curve to your supplier. For anything strategically central — AI capability above all in 2026 — outsourcing the hard part guarantees permanent dependence. Bring it in-house and mass-produce through the incompetence.
Three: is your AI strategy a few clean pilots or mass repetition through being bad? The clean-pilot instinct optimizes the flat curve and avoids the steep one. The organizations that will own AI capability are doing it badly, at volume, across every function, right now. Volume of imperfect repetition is the engine. Choose it deliberately.
The closing thought
BYD became the best in the world at building electric cars by being bad at building cars, at volume, for fifteen years, until bad became dominant. There was no flash of genius. There was a battery maker with the organizational muscle to mass-produce its way up a steep curve, pointing that muscle at one hard thing after another and refusing to hand the hard part to anyone else.
Innovation does not come from the task you are good at. It comes from mass-producing the task you are bad at until you are the best in the world at it. The romantic image of the sudden breakthrough is not just inaccurate; it is actively harmful, because it teaches leaders to avoid the exact repetitive, unglamorous, initially embarrassing work that is the real source of compounding advantage. The steep part of the curve feels like failure while you are climbing it. That feeling is not a warning. It is the sensation of innovation actually being built.
The world has changed. The leaders who notice will be the ones the next decade is built around.
