Strategic Dreamers

Before the Future Becomes a Constraint: Strategic Foresight for AI Transformation

mysource | Expert Report Contribution | AI Transformation & Organisational Foresight

Challenge

AI transformation is often treated primarily as a technological implementation challenge: selecting tools, identifying use cases, increasing productivity, and developing an adoption roadmap.

By the time an organisation begins formally discussing its “AI strategy”, however, the transformation may already be underway. Employees experiment with generative tools informally, clients increase pressure, competitors publish success stories, and technology providers begin to frame adoption as inevitable.

The strategic challenge is therefore not only how to implement AI, but how to preserve meaningful organisational choice before one preferred version of the future becomes accepted as the only possible direction.

This requires organisations to examine the assumptions, dependencies, cultural tensions, and emerging human consequences that conventional technology roadmaps tend to overlook.

Approach

Strategic Dreamers contributed to the mysource report Insights 2026: The Human Edge | Wellbeing as a Catalyst for AI Transformation with a chapter by Bartosz Frąckowiak titled:

“Foresight as an Organisational Competence: Before the Future Becomes a Constraint.”

The chapter introduced strategic foresight as an organisational capability for navigating AI transformation under conditions of uncertainty. Rather than predicting the development of AI, the approach focuses on expanding the organisation’s field of perception and strategic choice.

It identified five recurring traps that can weaken strategic thinking about AI:

  • linear extrapolation — assuming that current technological trajectories will continue without disruption;
  • wishful thinking — projecting unresolved organisational aspirations onto AI;
  • technological determinism — treating technological capability as strategic necessity;
  • underestimating resistance — interpreting concerns and hesitation only as barriers to adoption;
  • the single-scenario horizon — organising transformation around one apparently obvious future.

The contribution also reframed weak signals as organisational disturbances that may appear before they become measurable trends: hidden AI use, difficulties verifying automated outputs, accelerated production accompanied by declining understanding, emerging deskilling, or new tensions around control and professional agency.

Wellbeing was treated not as a supplementary HR concern, but as a strategic condition of organisational perception. Teams experiencing overload, uncertainty, or declining trust may find it harder to recognise weak signals, question dominant assumptions, and work constructively with alternative futures.

Outcome

The chapter developed a diagnostic framework that organisations can use before moving directly into AI roadmaps, implementation plans, or transformation programmes.

It provides leaders, strategy teams, HR professionals, and transformation practitioners with a way to:

  • reveal assumptions embedded in AI strategies;
  • distinguish technological possibilities from strategic necessities;
  • identify emerging dependencies and capability losses;
  • treat resistance as a potential source of organisational intelligence;
  • examine how AI may reshape judgement, learning, expertise, and agency;
  • develop multiple transformation scenarios rather than relying on a single adoption narrative;
  • connect technological transformation with organisational culture and wellbeing.

The central proposition is that foresight should not be outsourced as an occasional expert exercise. It should become part of how an organisation makes decisions, interprets emerging change, evaluates investments, and negotiates competing visions of its future.

AI transformation then becomes more than a process of adapting the organisation to new technology. It becomes an opportunity to decide consciously what forms of work, intelligence, responsibility, and human agency the organisation wants to preserve and develop.

Scale

  • Format: expert chapter within a multi-author strategic report
  • Publication: Insights 2026: The Human Edge | Wellbeing as a Catalyst for AI Transformation
  • Commissioning organisation: mysource
  • Focus: AI transformation, organisational foresight, wellbeing, culture, resistance, and strategic decision-making
  • Framework: five strategic traps, weak-signal interpretation, and foresight as an organisational competence
  • Primary audiences: organisational leaders, strategy and transformation teams, HR and people leaders, innovation professionals, and AI implementation teams
  • Year: 2026