Artificial intelligence (AI) is changing the way organizations analyze information, develop plans, measure performance, and make decisions. Tasks that once required hours of research, analysis, and preparation can now be completed in minutes.
But faster access to information does not automatically produce better strategy or results. AI increases the importance of human capabilities related to strategy. Leaders now have more data, more ideas, and more possible actions available to them than ever before. The challenge is knowing what matters, what to ignore, and how to turn information into meaningful organizational results.
In the AI era, leaders need more than technical familiarity with AI tools. They need strong strategy management skills that allow them to use those tools effectively. Five capabilities are particularly important.
1. Think Strategically
AI is exceptionally good at generating options and page after page of analysis. Every day I think to myself, “Wow, that’s cool” before I stop reading and move on because I just can’t get to it all. AI can identify trends, summarize research, develop scenarios, analyze competitors, and suggest strategic initiatives. What it cannot do is decide which choices are most important for your organization and make things happen.
Strategic thinking requires leaders to understand the organization’s environment, capabilities, stakeholders, risks, and aspirations and then make deliberate choices about where the organization should focus. That means developing consensus around what outcomes are most important, how we can genuinely differentiate, what assumptions we should make about the future, and what we should deliberately choose to do (or not).
2. Translate Strategy into Clear Results
One of the most common problems in strategic planning and measurement (that I write about often) is that organizations describe strategy as abstract consultant-speak. Objectives such as “improve innovation,” “enhance the customer experience,” or “strengthen organizational capability” may sound strategic, but they often leave employees unsure about what success would look like. And AI is particularly strong at generating sophisticated-sounding consultant speak.
Leaders need the ability to translate broad strategic ideas into clear, concrete intended results. Whether we are talking about Themes/Goals or Objectives, a clear result should be articulated in concrete terms so that the team agrees on what will be different when the strategy succeeds. Clear strategic intent gives both people and AI the context needed to produce better decisions.
3. Measure Performance
Poorly designed measures can create unintended consequences. They can encourage the wrong behaviors, divert resources toward activities that do not support strategy, or create the illusion of progress when the underlying result is not improving. This problem is now exponentially worse since leaders are using AI to generate tons of bad KPIs.
As I wrote elsewhere (link to last blog), AI makes it easier than ever to generate potential KPIs. The problem is that generating a list of measures is not the same thing as developing meaningful performance measures. Effective measurement requires leaders to understand what result they are trying to measure, what factors contribute to that result, what data is available, and how the information will be used to make decisions.
As I wrote in the blog linked above, AI can be useful along the way, but human judgment is still required to determine whether a measure truly represents strategic success.
4. Execute and Align
Most organizations do not fail because they are unable to write a strategic plan. They struggle because they cannot consistently translate strategy into aligned action. Execution requires leaders to connect strategic objectives with initiatives, measures, budgets, responsibilities, departmental priorities, and everyday decisions.
AI can support many of these activities. It can help summarize strategy review meetings, identify delayed initiatives, analyze performance trends, flag emerging risks, and help identify potential misalignment across departments. But execution still requires management discipline.
Leaders must establish clear accountability, create effective strategy review processes, resolve competing priorities, communicate strategic direction, and ensure that resources remain aligned with the strategy. The organizations that gain the most value from AI will likely be those that combine powerful technology with a disciplined strategy execution process.
5. Prioritize Using Human Judgment
Perhaps the most important strategy skill in the AI era is also the most human. Strategy requires conversation that leads to consensus around prioritization. We always generate too much in the strategy world: too many strategies, too many initiatives, too many measures, etc. and so prioritization becomes a key to success. Leadership teams need to debate assumptions, challenge ideas, resolve disagreements, and build consensus around difficult choices. Employees and stakeholders need opportunities to contribute perspectives that may not appear in databases or analytical models.
A strong strategist knows how to facilitate these conversations and guide the team towards focus instead of more and more idea generation. AI can support the process by providing research, generating scenarios, summarizing stakeholder feedback, and challenging assumptions. But it cannot replace the trust, judgment, negotiation, and shared understanding that develop through human interaction.
Conclusion: Strategy Expertise Matters
There is a temptation to believe that AI will reduce the need for strategy expertise because anyone can now generate a strategic plan, SWOT analysis, KPI list, or strategy map with a prompt, but the opposite may be true. When generating content becomes easy, the ability to distinguish good strategy from bad strategy becomes much more valuable. Leaders need to know whether an objective is meaningful, whether a KPI actually measures success, whether a strategic initiative addresses the right problem, and whether an AI recommendation fits the organization’s context.
AI can accelerate strategy development and execution. But without strong strategic management skills, it can also accelerate confusion, misalignment, and wasted effort. Since everyone has access to the same tools, the leaders that get ahead will be the ones that know how to use those tools within a disciplined strategy management framework. That requires leaders who understand strategic thinking, intended results, performance measurement, execution, and prioritization. These key management skills are becoming the foundation for effective leadership in the AI era.
For leaders and strategy professionals looking to strengthen these capabilities, Balanced Scorecard Institute training provides practical methodologies for strategic planning/Balanced Scorecard, KPI design, strategy execution, and the effective use of AI within the strategy management process.
David Wilsey is the Chief Executive Officer with the Balanced Scorecard Institute and co-author of The Institute Way: Simplify Strategic Planning and Management with the Balanced Scorecard.