In class discussions and beyond the classroom, I notice that we put a lot of emphasis on how AI can bring missing information, build strong analysis, and generate high-quality reports to achieve business goals. There is a growing narrative around AI as an “advisor”—something that can generate strategy, insight, even board-level recommendations.
We seem to have a hidden assumption: “If AI gives us better answers, organizations will perform better.”
But what if that assumption has always been false—even before AI? What if knowing has never been the real problem?
Many of us have seen large consulting projects produce excellent insights, detailed roadmaps, and strong recommendations—yet struggle during implementation or sometimes get cancelled altogether. Consulting has often been criticized for producing “thick reports” that end up on shelves rather than in action.
Realistically, value is often lost not because the thinking is flawed, but because the organization cannot execute. In my experience, the challenge was never lack of insight—it was whether the organization could align and move in that direction together.
This is why consulting projects are such powerful examples of how difficult it is to realize value. The gap is not intelligence. It is intention, adoption, willingness, leadership behavior, execution capability, and organizational readiness.
Now, we are saying AI will massively improve the supply of “knowing.”
If AI allows more organizations to access high-quality thinking, we may be entering a world where strategy is no longer the main differentiator. Execution is.
And that shifts the leadership challenge fundamentally—from making decisions to mobilizing organizations to act.
In her article, Deepika Chopra discusses the Alignment Gap—how organizational misalignment derails AI transformation and ROI. She highlights: “The real test isn’t whether AI can analyze customer behavior or optimize supply chains—it’s whether the organization will consistently act on those insights when they challenge existing assumptions, processes, or power structures. This recognition positions alignment as a ROI multiplier, the critical factor that determines whether AI investments generate transformational returns or become costly experiments.”
What this means for the business world:
In the old world, competitive advantage was access to better information. Leaders were decision-makers.
In the emerging world, insight generation is becoming easier and widely accessible, but execution capability remains limited and uneven. Competitive advantage shifts to the ability to act on intelligence—and leaders become “orchestrators of execution”.
This is a critical identity shift. Leadership is no longer defined by having the best answers, but by enabling the organization to act on them.
Why great strategies fail (with or without AI):
- No ownership of execution: Strategy stays at the top, execution is pushed down
- Misaligned priorities and incentives: KPIs reward stability, not transformation
- Capability gaps: The organization cannot deliver what the roadmap requires
- Change fatigue or resistance: People don’t fully buy in
- Operating model conflict: New strategy does not fit the existing structure
AI does not solve any of these. In fact, it may amplify them:
- More ideas can mean more fragmentation
- Faster insights can leave less time for digestion
- Higher expectations can increase pressure on delivery
So instead of asking “Do we have the right strategy?” we may start asking: “Are we an organization that can execute anything—at speed?”
And that leads to a new leadership agenda.
Leaders must now design for:
- Not just “who knows what,” but “who can convert insight into action”
- How quickly people can absorb and apply new ideas
- Decision-making speed that matches AI-generated insights
- Behavioral alignment—where culture supports action, not just discussion
- Human + AI orchestration—embedding AI into workflows, decisions, and accountability
Looking at all this, I come back to one thought: if AI handles analysis, benchmarking, and planning, then human value shifts to judgment, influence, execution under ambiguity, alignment, and mobilization. This brings me to a question I raised in my previous article: If these capabilities are not developed through traditional career ladders anymore, how will organizations build them?
This also leads to a realization: if everyone has access to AI-powered strategy, execution becomes the true differentiator—and the real bottleneck is organizational will and capability.
And in this world, execution is no longer operational—it is strategic.
So perhaps rather than asking “Are we making the right decisions?” we might start asking “Can we consistently turn decisions into action?” Because in the end, value is not created by what organizations know, but by what they are able to do.
Further reading:
- The Leadership Blind Spot in AI: How Misalignment Derails Transformation and ROI by Deepika Chopra
- Scaling your human edge by Sue Cantrell and David Mallon
Initially published on Linkedin
