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In boardrooms right now, speed is winning. Product cycles are compressing. Strategy decks are assembled in hours, not weeks. Cross-functional alignment\u2014once the bottleneck of execution\u2014is increasingly frictionless.<\/p>\n
This looks like progress. But a less visible shift is underway\u2014one with direct consequences for innovation and competitive position.<\/p>\n
As AI removes coordination friction, it is also eroding cognitive friction: the productive tension through which original ideas emerge. Organizations that optimize too aggressively for speed and alignment risk becoming fast followers of yesterday\u2019s logic rather than creators of what comes next.<\/p>\n
For decades, companies have invested heavily in eliminating friction\u2014streamlining processes, improving communication, accelerating decision-making. The logic was sound: inefficiency is costly.<\/p>\n
AI completes that trajectory\u2014compressing interpretation, synthesis, and decision into a single step. A disagreement surfaces\u2014about product direction, market entry, or resource allocation\u2014and AI can instantly:<\/p>\n
What used to take days now takes minutes. The result is not just faster execution. It is a different kind of thinking. And that difference shows up where it matters most: in the originality of what organizations produce.<\/p>\n
The most valuable ideas rarely come from smooth processes. They emerge from tension\u2014competing interpretations, unresolved disagreements, incompatible frames.<\/p>\n
This kind of friction feels inefficient. It slows meetings, complicates decisions, and resists closure. But it performs a critical function: it forces assumptions into the open and prevents premature convergence.<\/p>\n
Large-scale studies of scientific and technological work\u2014spanning tens of millions of papers, patents, and software projects\u2014consistently show that small, less-aligned teams are more likely to produce disruptive ideas. Larger, highly coordinated groups tend to refine existing trajectories.<\/p>\n
The difference is whether disagreement is sustained long enough to generate something new. AI changes that balance.<\/p>\n
AI systems are extraordinarily good at synthesis. They combine inputs, identify patterns, and produce coherent outputs that reconcile differences. But coherence is not the same as originality.<\/p>\n
When teams rely on AI to resolve disagreements too early, they shift\u2014often unintentionally\u2014from exploration to optimization. Instead of fully developing competing ideas, they converge on hybrids that are reasonable, defensible, and incremental.<\/p>\n
Consider a product team debating its next release.<\/p>\n
One group argues for deepening the core product\u2014improving reliability and strengthening existing features. Another pushes for expansion into a new market.<\/p>\n
Previously, this tension might have played out over days: conflicting data, competing narratives, unresolved friction.<\/p>\n
Now, the team asks AI to synthesize user feedback, market trends, and internal metrics. Within minutes, it produces a balanced roadmap incorporating elements of both approaches.<\/p>\n
The plan is sound\u2014but safe. The underlying tension never fully develops, and the result optimizes the present rather than challenging it.<\/p>\n
The same dynamic is emerging at the highest levels.<\/p>\n
In a recent executive discussion about a strategic pivot, a leadership team used AI to analyze market conditions, competitor moves, and internal performance data in real time. The system generated options ranked by likelihood of success.<\/p>\n
The conversation shifted immediately to refining them.<\/p>\n
A decision was reached quickly.<\/p>\n
Afterward, one participant observed: \u201cNone of us had to fully defend our position.\u201d<\/p>\n
The strategy was coherent. But it had not been stress-tested through real intellectual conflict. In complex environments, that stress test is the mechanism through which weak ideas fail and strong ones evolve.<\/p>\n
The mistake is subtle but consequential: equating faster alignment with better decisions. If a team reaches agreement instantly, the problem is either trivial\u2014or the thinking is incomplete.<\/p>\n
AI makes it easy to confuse speed with rigor. When answers arrive quickly and disagreements dissolve effortlessly, it creates the impression that the hard work has been done. In reality, the hard work\u2014the work that produces results that differentiate you\u2014is often in the struggle itself.<\/p>\n
The goal is not to resist AI. It is to distinguish between the friction that slows execution and the friction that enables discovery.<\/p>\n
Leaders should be deliberate about where AI accelerates–and where it should not.<\/p>\n
AI will make organizations more efficient. The risk is directional: becoming efficient at the wrong things. Speed, alignment, and coherence are valuable\u2014until they suppress the tension that drives innovation.<\/p>\n
For years, companies have treated friction as a cost to eliminate. In reality, some forms of friction are a resource to manage. AI makes it possible to remove that resource almost entirely. The leaders who understand what not to remove will have the advantage.<\/p>\n