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The Visionary Paradox: Why Zero Product Teams Have Strategy Without Execution

The most striking finding in our 2026 survey was not what we expected. Strategy without execution does not survive in the wild.

We have been running the State of AI in Product 2026 survey for a few weeks. As of mid-April, the first 27 extended responses are in, mostly senior product people (VPs, Directors, CPOs, Founders), mostly SaaS. The survey is still open and accepting contributions. We score every respondent on two dimensions: Vision (strategic clarity about where AI is taking the product organization) and Traction (real progress in moving there). Five archetypes fall out of the matrix: Leader, Visionary, Operator, Crossroads, Laggard.

The single most striking finding in the data is what is missing. Zero respondents land in the Visionary quadrant. Not a few. Not a handful. Zero.

The standard story is wrong

For years, the dominant industry narrative has been that organizations have great strategies but cannot execute them. Pick any leadership book published in the last decade. The chapter on "the execution gap" is in there somewhere. The implicit assumption is that thinking is easy and doing is hard, that the room is full of brilliant strategists waiting on slow operators.

When we look at the actual data of how product organizations are responding to AI, the picture inverts. Traction is running ahead of Vision in our sample. Mean Traction is 54. Mean Vision is 44. Teams are doing things. They are buying tools, running pilots, training cohorts, launching internal assistants. What they are not doing, in any consistent way, is committing to a strategic point of view about what any of that activity is supposed to add up to.

The Visionary archetype, the team with high Vision and low Traction, would be the team that knows exactly where it is going and has not started moving. It does not exist in our data. The moment a leader can articulate a clear strategy out loud, their team is already executing against it. Strategy without execution is not a stable state. It collapses on contact with the work.

What the actual failure modes look like

The 27 respondents distribute across the other four quadrants in a way that reshapes the conversation.

A third are at the Crossroads: moving, but not committed in either direction. Another 30 percent are Laggards: low on both axes, with significant ground to cover. Nineteen percent are Operators: real progress, no strategic frame to make sense of it. Only 19 percent are Leaders, with both clarity and traction.

Read together, more than 60 percent of senior product organizations in this sample land nowhere close to the Leader profile. Some are moving without a strategic frame, some have not really started moving at all, and most do not have a coherent answer to the question of why this particular set of bets and not others.

The most-quoted line in our open-text responses came from an AI-native founder who said it cleanly: "AI is being implemented bottom-up, but value is realised top-down." That is the Operator pattern in one sentence. Activity from the floor, no strategic translation from the top, value leaks out through the gap.

"We need to figure out the vision" is often a stalling pattern

The honest implication for leaders is uncomfortable. If your team is in motion and you cannot articulate the strategy yet, the strategy is being written for you, in the form of whatever your team chose to do this quarter. The longer you treat vision as a future deliverable, the more locked in those defaults become.

I have heard "we need to step back and figure out the vision" in roughly half the leadership conversations I have had this year. Sometimes that is genuine. Often it is a way to avoid the harder work of committing to a small number of bets while the team is already moving. The data suggests the second case is much more common than the first.

A clear strategic point of view does not require certainty. It requires the willingness to name two or three economic bets, force every team to align to them, and measure outcomes rather than activity. That is the same founder's prescription. None of it requires a quarter of strategy work. It requires a leader willing to make the call with incomplete information, knowing the call will need to be revised.

No resting place for "all map, no march"

There is a counterargument worth naming. Our sample is 27 people. It is heavily senior, heavily SaaS, and self-selected by interest in an AI readiness survey. Maybe Visionaries exist in the broader population and we are not seeing them.

I do not think so. The directional pattern is too consistent with what we are hearing in the rooms we run, both with leaders pressure-testing their AI strategy and with PMs trying to redesign their workflows. The high-Vision, low-Traction profile shows up in conversation as a particular type of leader: confident in the framing, uninvolved in the execution, slowly losing credibility with their own team. In the data, that profile resolves into one of two outcomes. Either the leader gets pulled into the work and starts pushing Traction, or the team stops trusting the Vision and the score collapses. There is no stable resting place for "all map, no march."

Where this leaves you

If you are running a product organization right now, the leverage point is not getting the strategy perfect. It is getting it specific enough and public enough to give everyone in motion something to align to. Leaders in our sample, the 19 percent with both Vision and Traction, do not have better strategies than the Crossroads group. They have strategies that are actually being used to choose between options.

The work of becoming a Leader is not slowing down to think. It is investing in clarity at the top while the team is already moving below, and accepting that the first version of that clarity will be wrong in ways you only see by shipping against it. We wrote about this as one of the threads in The Irreplaceable Few: constant adaptation is the strategy, not a phase you graduate from.

So a real question, not a rhetorical one. If I asked three random people on your team this week to write down the two or three bets your AI strategy is committing to, how aligned would the answers be? And if the alignment is not there, do you actually have a Vision problem, or do you have a "Vision was never made specific enough to hit Traction" problem?

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