We've entered a strange moment for innovation. Creation has never been easier. Adoption has never been harder.
You can build a working prototype in days that would have taken months. You can generate content, code, designs, and analysis at a pace that was impossible two years ago. The marginal cost of creating something new is collapsing toward zero.
And yet.
Getting anyone to actually use what you've built is as hard as ever. Maybe harder. Attention is fragmented. Switching costs are real. The inertia of existing workflows is enormous. People are overwhelmed with tools, drowning in options, skeptical of the next thing promising to change their lives.
This is the speed trap
We're accelerating production while adoption remains stubbornly physical, human, slow.
The implications are counterintuitive.
More ideas will die from neglect than from failure. When building is cheap, the bottleneck isn't creating—it's getting traction. A mediocre product with great distribution beats a great product with no distribution. This has always been true, but the gap is widening.
The technology arrow points at everything. AI doesn't just apply to your industry—it applies to every industry, every function, every role. This makes it simultaneously urgent and overwhelming. Where do you start when everything is affected?
Tooling discipline becomes essential. When you can build anything, you have to get serious about what you should build. The organizations that ship every prototype will drown in maintenance. The ones that never ship will fall behind. The sweet spot is rigorous filtering of what makes it to production.
Innovation becomes an operating system, not a department. The old model—a skunkworks team that develops new things and hands them off—can't keep pace. When the technology is moving monthly, every team needs to be updating how they work. Innovation has to be distributed.
The speed trap catches people at both extremes
One group moves too fast. They're seduced by the ease of creation. They build demo after demo, prototype after prototype, never doing the hard work of adoption, integration, and change management. They have impressive showcases and no actual transformation.
The other group moves too slow. They're paralyzed by the pace of change. Every decision feels premature because something better is coming next month. They wait for the dust to settle, but the dust never settles. Meanwhile, competitors are learning by doing.
The way through is disciplined experimentation with a bias toward deployment
Experiment: try new tools, build prototypes, test hypotheses. Don't commit to everything, but try a lot of things.
Discipline: have clear criteria for what graduates from experiment to investment. Kill things that don't work. Don't let the portfolio of experiments become the portfolio of half-maintained tools.
Bias toward deployment: a prototype that never leaves the lab teaches you less than one that encounters real users, real data, real friction. Get things into production quickly, even imperfectly, and iterate from there.
The organizations that thrive in 2026 and beyond won't be the ones that build the most. They'll be the ones that build the right things and actually get them adopted.
The speed trap is real. The way out is through.