How do you lead from presence instead of panic when nobody knows what comes next?

The five-year plan you presented last quarter already feels like fiction, and you are being asked to commit capital against a horizon you can no longer see. The slide is still in the deck, the numbers still tie out, and yet you sat in the board meeting last week knowing that the second half of it described a world that may not arrive. Sign off the spend, approve the hire, green-light the build, all against a picture that keeps dissolving as you look at it.

Here is the thing I would say to you before anything else. Leading through AI uncertainty is not a forecasting problem you have failed to solve. It is a state-of-mind question you have not yet been invited to ask. You cannot steer a fast-moving thing from a contracted body. The plan did not betray you. The conditions changed faster than the format was built to hold, and the real work now is the state you allocate capital from, not the spreadsheet you allocate it through.

Why does my strategic plan feel obsolete the moment I present it?

Because the ground really is moving, and you are right to feel it. The World Economic Forum estimates that by 2030 structural churn will equal 22% of today's jobs: 170 million roles created, 92 million displaced, and 39% of workers' core skills changed or made obsolete. That is not a static board you are planning against. That is a forecasting environment in motion, and the format you inherited, the confident five-year arc, was designed for the static one.

So leaders are quietly doing the rational thing: pulling the horizon in. McKinsey's 2025 work on budgeting under uncertainty found the share of executives naming long-term planning and resource allocation a top priority dropped to 28%, down from 50% earlier in the year, while near-term operational drivers climbed the list. The window that used to run a year has shrunk to a quarter. You are not imagining the contraction. You are living inside its grip.

And it carries an existential edge. In PwC's 28th Annual Global CEO Survey, four in ten chief executives, 42%, said their company will not be viable beyond the next decade if it stays on its current path. Read that again as a leader, not a statistic. More than four in ten believe the thing they run has an expiry date on the present course. That is the weight you carry into the capital meeting.

So is the answer better forecasting, or something else entirely?

For thirty years the instinct has been to forecast harder: more scenarios, more dashboards, a tighter model. The bottleneck is no longer the technology, though, and it is no longer the forecast either. It is the state of the person reading it. Here is the uncomfortable part. The capital decision is being made by a nervous system, and the nervous system has rules of its own.

Look at what happens to judgement under load. In a study of 1,112 parole rulings, favourable decisions ran near 65% at the start of a session and slid toward zero as the morning wore on, then snapped back to 65% after a break. The same judge, the same law, a different physiological state, a different verdict. The effect size has since been contested, so hold it as illustration rather than law; but the direction is the point. A 2025 integrative review of decision fatigue (the documented decline in decision quality after a long run of choices) reached the same conclusion across medicine, finance and the judiciary: as mental resources deplete, people reach for the safest, lower-effort option and default to the status quo. Under load, we say no. We freeze. We renew the safe thing.

The physiology underneath is well documented. Work on neurovisceral integration (the model linking heart rhythm, the vagus nerve and the thinking brain) shows that people with higher resting, vagally-mediated heart rate variability perform better on executive-function tasks, because that variability indexes the integrity of the prefrontal networks that govern self-regulation and cognitive control. Put plainly: a contracted, over-aroused state degrades exactly the faculties capital allocation depends on, the ability to weigh, to wait, to hold two futures at once without grabbing for the nearest one. You are trying to run high-stakes judgement on hardware that panic has throttled.

What does leading from presence actually change about the numbers?

It changes where the value is won, and the value in AI is won in the human layer. S&P Global Market Intelligence, surveying more than 1,000 enterprises across North America and Europe in 2025, found that 42% of companies scrapped most of their AI initiatives that year, a sharp jump from 17% in 2024, and that organisations abandoned 46% of their pilots before those pilots ever reached production. The blockers they named were not the algorithm: cost, data and the human work of adoption. The thing standing between you and value is not a better model. It is the coherence of the people choosing where to point it, starting with you.

Coherence is head and heart in alignment, the operator running clean enough to hold uncertainty without collapsing it prematurely into a yes or a no. A coherent leader can stand inside a horizon they cannot see and still allocate with conviction, because the conviction comes from their own steadiness rather than from a forecast pretending to be certain. That is the solution category the moment is asking for: build the operator before you redo the plan. Most leaders are trying to install new software on broken hardware. The leaders who win the next decade are the ones who upgrade themselves first.

This sits inside a longer arc. Phase One, the Age of Effort: work hard, get a little more, linear growth. Phase Two, the Age of Scale: build once, sell to millions, exponential growth. Phase Three, the Age of Acceleration: output decoupled from human effort almost entirely, the phase AI unlocks. Each phase moved the bottleneck somewhere new, and in Phase Three the constraint is no longer the machine. It is the mind doing the steering. That is why the state you allocate from has become the asset.

So when the next capital decision lands, here is the sequence I would run before touching the model:

1. Regulate first. Settle the body before you open the spreadsheet. The decision wants prefrontal clarity, and clarity follows a steady physiological state, not a braced one.
2. Name the horizon honestly. Decide which part of the plan is conviction and which part is theatre, then commit capital only to the part you actually believe.
3. Invest where value lives. Put your weight behind the people and process layer, where the S&P Global data says value is made or lost, rather than chasing the model.
4. Allocate from coherence. Make the call from head and heart aligned, then move. A coherent yes under uncertainty beats a frozen maybe every time.

The horizon will keep moving. That part is settled. What you can build is the capacity to allocate capital from presence while it moves, which is a far more durable asset than any five-year arc. Phase One was muscle. Phase Two was machine. Phase Three is mind, and the mind doing the steering is yours.

About the author

Thomas Green

British technology futurist, AI keynote speaker and advisor. Thirty years across enterprise technology and AI strategy, helping leaders navigate the future of work. The futurist who died.