Leaders have always needed to not only know what is going on in the current state but also to try to predict what will happen in the future. Trying to make sense of the future has never been an easy task. Uncertainty has been the only constant. And currently, the speed, scale and interconnectedness of all that is changing is unprecedented.
AI is transforming how work is done, organizations are run and decisions made. Regulatory frameworks are evolving, markets are shifting and stakeholders’ expectations towards organizations are changing. At the same time geopoliticial, environmental and societal developments create uncertainties that are difficult to isolate from one another.
Scenario thinking may help organizations move beyond a single assumption about what will happen. Leaders can consider several plausible developments and examine what they would mean for their organization.
What if AI radically changes parts of the operating model? What if the regulatory framework develops in unexpected ways? What if our stakehoders’ expectations shift? What if we loose customers or gain new ones we are not famiilar with? What if the transformation that we anticipated happens at a much slower or faster pace than we expected? What impacts will the developments have on the organization?
There isn’t just one possible scenario that will inevitably materialize.
There isn’t just one possible scenario that will inevitably materialize but rather several potential ones all with different types of effects. The purpose of analyzing potential future scenarios is to scope the dependencies, vulnerabilities and opportunities tied to each one before they become urgent. Making sense of what may come next is also an important part of good governance.
Different futures may affect strategic priorities, investments, competencies, organizational structures, risk appetite and stakeholder relations. Exploring those implications enables leaders to make more informed deceisions today while retaining the ability to adapt tomorrow.
Different futures may affect strategic priorities, investments, competencies, organizational structures, risk appetite and stakeholder relations.
AI can significantly expand our capacity to analyze information. It can process huge amounts of data, identify patterns, compare developments and help model possible scenarios. When used properly, it can widen the evidence base available to decision-makers. But greater analytical capacity should not be confused with certainty.
Models are built on data and assumptions. Historical data may become less useful precisely when cirsumstances are changing most profoundly. AI can identify patterns in what is measurabel while missing weak signals, human behavior or developments for which meaningful data does not yet exist.
The governance challenge is not to choose between data and human judgement, but to use both intelligently.
Good foresight therefore requires more than data. It combines analysis with professional judgement, experience, tacit knowledge and an understanding of how people are actually experiencing change. Gut feeling may also play a role. The concern raised by an employee, the hesitation of a customer or the intuition of someone who has worked in a specific field for decades may sometimes reveal something that has not yet appeared in a dataset, no matter how large the dataset may be.
The governance challenge is not to choose between data and human judgement, but to use both intelligently. To remain transparent about the assumptions and uncertainties behind conclusions.
In times of rapid change, like the one we are currently living in, attention naturally gravitates towards what is new. But strategic foresight should also ask what is likely to remain.
Strategic foresight should also ask what is likely to remain.
Technology may change how an organization operates without changing why the organizations exists. Processes may be automated and AI gents may take decisions while accountability remains human. New business models may emerge while the importance of trust, competence and responsible decision-making founded on a sloid basis of good governance persists.
Understanding these continuities can provide an important anchor. An organization that knows its purpose, values, responsibilities and strategic objectives is better equipped to assess which developments genuinely require it to change direction and which merely require new ways of pursuing existing goals.
Good governance provides a solid anchor.
Good governance provides a solid anchor. Clear roles and responsibilities, meaning and timely information sharing, appropriate oversight, accountability measures and the ability to challenge assumptions become more important, not less, when the environment is uncertain and in constant turmoil.
Good governance under uncertainty does eliminatge uncertainty before making decisions. It creates processes that make uncertainty visible and manageable. This means testing assumptions, considering alternative scenarios, listening to different perspectives, understanding potential impacts and revisiting decisions when circumstances change.