Speed without discipline destroys product quality.
Joe Fields
AI has rewritten the tempo of product development. Tasks that once required days of research, synthesis, or engineering effort can now be completed in minutes. Product managers can generate summaries and documents instantly. Designers can explore dozens of concepts before lunch. Engineers can scaffold entire features with a single prompt.
This acceleration feels intoxicating. It feels like progress. It feels like the future.
But beneath the surface, something more dangerous is happening: teams are shipping faster than they can think. They are producing more output than they can meaningfully align. They are generating more features than they can justify, validate, or integrate into a coherent whole.
The result is a creeping, compounding layer of application slop, a product that grows outward but not upward, accumulating features without accumulating clarity.
This blog explores why this is happening, why it threatens product quality, and what the next generation of product teams must do to stay disciplined in an AI‑accelerated world.
For decades, the friction of building software acted as a natural forcing function. If something required weeks of engineering time, teams were forced to debate, prioritize, and justify it. The cost of execution created discipline.
AI has removed that cost. A single engineer can now generate a working prototype, a UI scaffold, a test suite, and documentation in a single afternoon. A product manager can produce a PRD draft in minutes. A designer can generate a dozen variations of a concept with a single prompt.
The problem is not the speed. The problem is what the speed enables: building before thinking.
Melissa Perri, one of the most respected voices in product, has warned that:
“AI can draft documentation, synthesize research, analyze usage data, and generate communications faster than any PM could. Teams that aren't using it for these tasks are leaving real productivity on the table. But I keep seeing a version of this that worries me. PMs who are using AI to move faster without asking whether they're moving in the right direction. The execution speed goes up. The judgment stays the same."
When teams can build instantly they will, even when the idea is unvalidated, misaligned, or poorly understood. The friction that once forced reflection has evaporated. And when reflection disappears, coherence disappears with it.
AI creates a powerful psychological trap: the feeling of momentum. A team that produces a dozen documents, prototypes, or features in a week feels productive. The velocity looks impressive. The output is undeniable.
But output is not the same as progress. As Hamilton Mann bestselling author and a sought-after speaker puts it:
“Confusing efficiency with productivity is to mistake speed for direction, and execution for value.”
AI accelerates output, not understanding. It can generate options, but it cannot tell you which option is worth pursuing. It can produce artifacts, but it cannot guarantee that those artifacts reflect real customer needs. The danger is that teams mistake volume for value. They feel productive because they are producing. They feel fast because they are shipping. They feel modern because they are using AI. But without evidence, alignment, and strategic clarity, they are simply accelerating toward incoherence.
For years, product teams have worried about technical debt. But in the AI era, a more insidious form of debt is emerging: coherence debt. Coherence debt accumulates when:
It is the debt created when a product grows in surface area but not in clarity.
AI makes it easier than ever to move fast in the wrong direction. Coherence debt doesn’t break builds. It doesn’t trigger alerts. It doesn’t show up in Jira. But it quietly erodes product quality, customer trust, and strategic focus. And once it accumulates, it is extraordinarily difficult to unwind.
AI is not inherently chaotic. But it amplifies whatever system you already have. If a team is disciplined, AI accelerates that discipline. If a team is chaotic, AI accelerates that chaos. According to the 2025 DORA report from Google Cloud:
“AI doesn't fix a team; it amplifies what's already there. Strong teams use AI to become even better and more efficient. Struggling teams will find that AI only highlights and intensifies their existing problems. The greatest return comes not from the AI tools themselves, but from a strategic focus on the quality of internal platforms, the clarity of workflows, and the alignment of teams.”
Teams that lack strong discovery habits, clear decision‑making frameworks, or alignment rituals will find that AI magnifies their weaknesses. They will generate more ideas than they can validate, more features than they can integrate, and more documents than they can meaningfully use. The result is a product that grows outward in every direction, but without a unifying spine.
If AI accelerates output, then the counterbalance must be a renewed commitment to evidence. The next generation of product teams will need to operate more like intelligence analysts than traditional builders. They will need to:
This is not bureaucracy. It is the discipline required to prevent chaos.
As Dan Lindsay Head of Product at Gitwork argued:
“A team can release many things and still learn very little. True progress comes from how quickly a team understands what works and what does not.”
AI accelerates building. Teams must accelerate learning.
The future of product development is not AI‑driven. It is AI‑accelerated and human‑directed. AI will handle:
Humans will handle:
This division of labor is not optional. It is the only way to prevent AI from becoming a chaos multiplier. The teams that thrive will be the ones that treat AI as a junior partner, fast, tireless, and capable of producing enormous volume, but not as a strategic decision‑maker.
Generative AI is like a junior engineer in that you can’t roll their code off into production. You are responsible for it, legally, ethically, and practically. You still have to take the time to understand it, test it, instrument it, retrofit it stylistically and thematically to fit the rest of your code base, and ensure your teammates can understand and maintain it as well.
In an AI‑accelerated world, the biggest risk is not that teams will build too slowly. It is that they will build too quickly, without alignment, evidence, or strategic clarity. What product teams need is not another tool that accelerates output. They need a system that accelerates coherence.
A coherence engine must:
This is the only way to ensure that speed does not come at the cost of sense‑making.
As Founder & CEO Desmond Croan puts it:
“The Real Frontier of AI Isn’t Speed. It’s Alignment. Every company can move faster. But only a few can move together. That’s what this next wave is really about. Not how many AI tools you use, but how well they reflect your values, your systems, and your story. Because the future of growth isn’t artificial intelligence. It’s applied intelligence."
AI is not coming for product managers’ jobs. But it is coming for product managers’ bad habits. It will expose teams that skip discovery. It will expose teams that build without evidence. It will expose teams that confuse output with progress. It will expose teams that lack alignment, clarity, and discipline. The teams that win in the AI era will not be the fastest builders. They will be the fastest learners. They will use AI to accelerate the grunt work, not the guesswork. They will use AI to generate clarity, not chaos. They will use AI to strengthen their discipline, not replace it. And they will treat coherence not as a luxury, but as a competitive advantage.
