Off Script: A Cosmonaut's Experience in the Age of AI

A crisis rarely arrives at full force—it builds, and at some point it turns into a state of complete uncertainty, where there is neither a map nor a precedent. Space is an environment in which crises and unpredictable situations are not an abstraction but part of the profession. That is exactly why human spaceflight pays so much attention to how a person perceives a threat, makes decisions and stays effective—when everything goes off plan.

Today business operates in an environment where the pace of change is comparable to the dynamics of spaceflight. Technology, markets, geopolitics—everything is changing faster than strategies can be updated. Artificial intelligence deserves separate attention: a technology that does not merely change individual industries but is itself the accelerator of every other change. For the first time in history, a tool created by people sets a pace of change that exceeds human capacity to adapt. The ability to act in a crisis and the ability to find your bearings in complete uncertainty are different skills, and both are necessary.

Three blocks, three layers. First—how perception works in extreme conditions and why we see a situation as worse than it is. Then—what actually works when a crisis could have been foreseen. And finally—how to make decisions where there is no map at all: when you hit a wall or find yourself in complete uncertainty. Including through an unexpected analogy with the way artificial intelligence works. All of it through real stories from spaceflights and from training for them.

The lecture is built on one pattern: stating the problem—a story from the professional experience of Alexander or his colleagues—analysis of the situation—a conclusion. A presentation with integrated photo and video material is shown. A dialogue with the audience is maintained.

The lecture “Off Script: A Cosmonaut’s Experience in the Age of AI” will be of interest to:

1. heads of companies and business units who need to stay effective amid instability and rapid change;
2. senior executives responsible for strategic development;
3. crisis management and risk management specialists;
4. leaders of project teams who regularly face non-standard challenges;
5. anyone who needs to understand the psychology of behavior in a crisis—their own and their team’s.

The lecture will be of particular interest to those looking for an unconventional take on AI—neither technical nor futurological, but practical: how the working principle of artificial intelligence helps a person make better decisions in conditions where there is no algorithm.

1. In a crisis a person is stronger than they think, but weaker than in an ordinary situation: the physical reality of a threat and the psychological reality of perception are two different worlds.
2. The first response to a crisis has to be simple and drilled to the point of automatism; complex strategies come after the situation has been stabilized.
3. Preparation for a crisis begins long before it and is built with a margin: what you know on the ground at an A, in space you know at a C at best.
4. In a fast-changing world the ability to make risky decisions is not the exception but a necessity, and the more AI accelerates change, the more valuable a decision by resemblance becomes in a field you know down to the fundamentals.
5. Hit a wall—look for an unconventional way through; the key to it is the right question, the same logic as a good prompt to an AI.
6. A crisis does not make you stronger by itself, but only when a lesson has been drawn from it—even from a crisis you failed to overcome.
7. The team is the main resource both in a manageable crisis and in complete uncertainty: no one flies into the unknown alone.

INTRODUCTION:

Where the title comes from: pilot-cosmonaut Vladimir Lyakhov’s saying “Everything will go off script” and its confirmation on every flight (the red protective caps on the hardware carried outside: they could only be removed before the hatch).

Context: from the pandemic to permanent turbulence. Exponential rates of change—a timeline from the origin of life to the fourth technological revolution. Artificial intelligence as the key accelerator of that change, setting a pace that exceeds human capacity to adapt. Conclusion: uncertainty is not a temporary phenomenon but the new permanent reality.

BLOCK 1. PERCEPTION IN CRISIS AND UNCERTAINTY

How a person perceives a threat and why that perception systematically distorts reality. Four mechanisms:

1. overestimating the threat and underestimating your own resources;
2. tunnel vision;
3. loss of competence under stress;
4. the vulnerability of the individual mind compared with the mind of a group.

Each mechanism is unpacked through a story from space practice.

BLOCK 2. A STRATEGY FOR GETTING THROUGH A CRISIS

How to act when the scenario could have been foreseen. Four principles:

1. prepare before the crisis arrives, with a margin above the obvious norm (the protective caps—checks before the point of no return; so many questions to the specialists that “he must have been really worried”);
2. the first response—simple algorithms drilled to automatism (Warn – Gather – Work: warn, gather information, work);
3. deliberately widen your field of view and use the effect of distributed intelligence;
4. draw from every crisis a resource for the next level of readiness.

BLOCK 3. A BREAKTHROUGH STRATEGY: THE UNKNOWN OR A WALL

How to act when the scenario cannot be foreseen. Four principles:

1. accepting risk—learn to choose correctly (an analogy with the way AI works: it weighs a situation against a broad base of knowledge and produces the most probable answer—a decision by resemblance rather than by algorithm; a person acts the same way in a field where they know the fundamentals deeply and have accumulated experience);
2. finding unconventional solutions by widening your field of view and by knowing how to ask the right questions;
3. learn faster than the world changes—borrow experience from other fields and track trends ahead of the curve, especially in the context of the acceleration AI is setting;
4. the team as the only way to make up for what you cannot know in advance.

Summary of the block: the three hardiness attitudes described by Salvatore Maddi—control, commitment, challenge—as scientific confirmation of conclusions drawn from practice.

CONCLUSION

The story of what cosmonauts carry to the rocket in their suitcases, and of the colossal energy every person radiates even at complete rest. The closing conclusion: energy aimed in the right direction makes any summit reachable.

1. see how the psychological mechanisms of perception work in a crisis—through experience where the price of a mistake was as high as it gets;
2. see, through the lens of space practice, how preparation for crisis situations is built and what in it actually works;
3. compare familiar principles for acting in uncertainty with the way the same questions were resolved in extreme conditions;
4. see the role of the team in a new context—where survival depended on the quality of interaction;
5. look at risky decision-making through an analogy with AI—and rethink your own approach to decisions in conditions where there is no algorithm.

60–90 minutes, including Q&A.