What Leaders Get Wrong About AI Adoption
The real reason AI adoption fails isn't tech, it's people. What every leader gets wrong about turning AI strategy into results.
From AI investment to workforce transformation, many organizations in the GCC are moving fast to define their AI ambitions. Yet for all the momentum, the gap between vision and execution continues to widen.
According to World Economic Forum, skill gaps are now considered the biggest barrier to business transformation, with 63% of employers identifying them as a major challenge over the 2026 to 2030 period. In response, 85% of employers surveyed plan to prioritize upskilling their workforce, while 70% expect to hire talent with new capabilities, 50% plan to redeploy employees into growing roles, and 40% anticipate reducing roles where skills are becoming less relevant.
But the numbers tell only part of the story. According to Mary Glowacka, a Korn Ferry Senior Principal, the deeper issue is structural and surprisingly consistent whether you are looking at a start-up or a multinational.
"Human capability enablement is at the top of CEOs’ agendas globally. And yet, strategies keep failing for the same reasons over and over".
Strategy without a plan is just a wish
There is a critical distinction many organizations miss: a strategy is not a plan. A strategy defines the vision, where the company needs to go, what drives growth, and how leadership wants to compete. But vision alone does not move people.
“While strategy is very important in terms of articulating the vision,” Glowacka notes, “there has to be a plan behind it to then use that strategy as an engagement tool.”
That gap between direction and delivery is where many AI adoption programs collapse. Leaders announce bold AI roadmaps, launch pilots, and invest in technology, but fail to build the internal systems, accountability, and workforce readiness needed to make adoption real.
“Everybody needs to play a role,” she says. “The top of the house articulates the vision and the mission, and helps connect people across the organization to that vision.”
The AI Adoption challenge is a people problem
The current wave of AI adoption has exposed this fault line with unusual clarity. Companies are investing heavily in tools, platforms, and infrastructure only to watch initiatives stall once implementation begins.
The reason, Glowacka suggests, is rarely technological. It is organizational.
According to Korn Ferry's AI Adoption in the GCC Report 2026, organizations cited technology integration as a leading barrier to AI adoption. But the real challenge is often not technological — it is human. Roles, decision rights, workflows, and organizational structures need to be redefined for AI to create value at scale.
Leading companies are already moving in that direction. Organizations recognized by Fortune’s World Admired Companies are redesigning specific roles to incorporate the value of AI — not simply piloting tools or experimenting at the edges, but embedding AI into how work gets done.
When capability development, leaders readiness, and employee confidence are treated as secondary to the strategic announcement, the strategy is already in trouble.
Across sectors, re-skilling is no longer just an HR priority. It is increasingly a precondition for AI success.
The hidden cost of chasing every new idea
Another common failure point is strategic drift, when leadership becomes distracted by every new AI trend before the current roadmap has had a chance to land.
Glowacka illustrates the point simply:
“If you want to build a house and that’s your mission, and one day you decide you want to try building a car instead, be very conscious that the house will stall.”
Experimentation matters. Markets evolve quickly and leaders need to adapt. But constantly shifting priorities creates confusion, drains momentum, and overwhelms teams already navigating change.
The courage to say no
Closely related is a leadership behavior Glowacka believes is often missing: the ability to say no clearly and constructively.
“There is a way of saying no. It doesn’t have to be confrontational. It doesn’t have to be shooting people down with every idea they bring.”
When someone proposes a compelling but off-strategy AI initiative, leaders need to acknowledge the value, explain priorities, and close the loop. Leaving too many ideas open creates confusion and fragmented execution.
Human communication, she argues, is not a soft skill at the margins of transformation. It is central to whether strategy succeeds.
Generative AI in the Workplace
In this webinar series we focus on the ways AI is disrupting the workplace
