Why C-Suite Leaders Use AI for Strategy, But Feel Moderately Confident About the Future

Every serious organization is using AI for strategic planning now. It is not a bold move anymore. It is the baseline.

According to research covering 27,000 C-suite leaders in the US, not one of those leaders feels fully confident about anticipating major disruption. Every single one landed at moderate. That gap is worth paying attention to.

https://www.burrus.com/strategic-foresight-statistics-usa-2026/

This is not a technology problem. The tools are there. The confidence is not. Something in between is missing.

Same Tools, Different Results

Think about what happened with CRM software. In the early days, having one was a competitive advantage. Then everyone got one, and the advantage disappeared. What separated high-performing teams from average ones shifted to something else: process, discipline, and how they used the data inside it.

AI in strategy is following the same path. The 2026 strategic foresight study found that 100% of C-suite leaders now use AI as a central input to strategic decision-making. When adoption is universal, the tool is no longer the differentiator. What you do with it is.

Most organizations are using AI to process more data, faster. That is genuinely useful. But processing speed is not the same as strategic clarity. That distinction is exactly where the confidence gap lives.

The Part of the Future You Can Actually Count On

Here is what most AI-assisted strategy discussions leave out. The future is not one thing. Some of it is certain, and some of it is not. Treating all of it the same is where strategic planning breaks down.

Futurist and business strategist Daniel Burrus has built an entire framework around this idea. His core argument is that leaders need to separate hard trends from soft trends. Hard trends are future certainties, developments already in motion that will happen regardless of what decisions get made today. Soft trends have real momentum but could still shift.

Most organizations, even the ones with strong AI capabilities, are not making this distinction consistently. Only 60% of C-suite leaders say their organizations distinguish between hard and soft trends for strategic planning. The other 40% are feeding AI the wrong question. They are asking it to predict the future when they should be using it to clarify which parts of the future are already decided.

That is a framework problem. No amount of AI investment fixes it on its own.

Why the Reactive 28% Still Exists

Here is the stat that deserves more attention. Despite universal AI adoption, 28% of C-suite leaders still describe their organizations as mostly reactive. They respond to change as it happens rather than getting ahead of it.

That should not be possible if AI were the determining factor. But it makes sense once you separate the tool from the thinking behind it.

AI amplifies whatever framework is already in place. If that framework is reactive, AI just helps the organization react faster with more data. The pattern stays the same.

This is why two organizations with identical technology stacks can produce completely different strategic outcomes. One has a disciplined way of reading the future. The other is still guessing, just with better equipment.

What Foresight Maturity Actually Looks Like

The organizations closing the confidence gap share a few traits, and they show up clearly in the data.

First, they connect foresight to money. Among the leaders in the study, 61% say strategic foresight plays a key role in budget planning and resource allocation. Foresight that never touches the budget stays theoretical. When it shapes how resources get allocated, it becomes operational.

Second, they treat strategy as a living document. The study found 68% of C-suite leaders continuously update their strategic plans in real time. Markets move too fast for annual planning cycles. The organizations building real resilience treat foresight as something needing ongoing attention, not a report that gets filed after Q1.

Third, they have a clear framework for separating certain futures from uncertain ones before opening the dashboard. AI does its best work when the people directing it already know what they are looking for.

The Confidence Gap Is a Signal, Not a Flaw

Moderate confidence across every leader in the study is not a failure. It is an honest read on where most organizations actually are right now. They have the tools, and they are building the habits.

But the gap between AI adoption and strategic foresight maturity is real. The leaders who acknowledge it are the ones most likely to close it.

AI did not create this gap. It made it visible. The next competitive divide in leadership will not be about who has the best technology.

It will be about who has the clearest thinking behind it. The organizations that figure that out first will not just feel more confident. They will have earned it.