Executive summary
McKinsey's State of Organizations 2026 research, drawing on more than 10,000 senior executives across 15 countries and 16 industries, surfaces a striking paradox: most leaders expect AI to transform their organizations, yet 72% feel unprepared to lead through it. The readiness gap is not a technology problem. It is a leadership problem, and it may be 2026's most consequential one.
Top leadership insight
Reinventing leadership before AI does it for you
McKinsey's State of Organizations 2026, based on input from more than 10,000 executives, identifies "Reinventing Leadership" as one of nine fundamental shifts reshaping organizations. The core argument is precise: as AI handles more of execution, the distinctly human dimensions of leadership, judgment, empathy, psychological safety, and purpose, become the primary drivers of organizational resilience.
What makes this more than a leadership development talking point is the readiness gap the data reveals. More than half of executives expect AI to drive significant organizational transformation. Yet 72% say they feel unprepared to navigate it. That gap is not pessimism. It is an honest assessment of where leadership capability sits relative to where this moment demands it to be.
For boards and CEOs, the implication is direct. AI deployment without parallel investment in leadership development is a structural liability. The organizations that capture AI's potential are not necessarily the ones spending the most on technology. They are the ones developing the leaders who can work with it, govern it, and make judgment calls when it gets things wrong.
Source: McKinsey & Company, "The State of Organizations 2026"
AI and leadership update
When AI gets a job title
Harvard Business Review research surveying 1,261 HR and finance managers across the US, Canada, and the EU documents a shift that deserves more scrutiny. Approximately one-third of respondents say their organizations talk about AI as a "teammate" or "employee." Twenty-three percent report that their organizations have listed AI agents on org charts with formal roles.
The accountability consequence is significant. When managers believe content was produced by an AI "employee," they catch fewer errors than when they know it came from a tool. They also attribute mistakes to the AI rather than accepting responsibility themselves. The employee framing, designed to make AI adoption feel familiar, is quietly eroding the human judgment and ownership that makes adoption safe.
For senior leaders, the lesson is governance, not semantics. How an organization describes its AI shapes how people relate to it, and how they hold themselves accountable for what it produces. Framing matters more than most leaders currently assume.
Source: Harvard Business Review, 2026
Leadership tip
When your team presents an AI-assisted output, ask one question before reviewing it: who is accountable for this? Naming a human owner upfront keeps judgment active and accountability clear. Technology can surface the answer. Only a leader can own it.
Framework of the week
Adaptive leadership
Ronald Heifetz, Harvard Kennedy School
Ronald Heifetz's Adaptive Leadership framework draws a fundamental distinction between two types of challenges. Technical problems have known solutions and can be addressed with existing expertise. Adaptive challenges require new values, behaviors, and ways of working, changes that the people involved must make themselves. No external solution closes an adaptive gap.
AI has created a widespread misclassification problem in organizations. Many leadership teams are treating what are fundamentally adaptive challenges, changing how decisions get made, how people relate to uncertainty, how accountability gets assigned, as technical problems solvable with better tools. The result is platform adoption without cultural readiness, and deployment without genuine transformation.
Executive application: Before commissioning your next AI capability, ask whether this challenge is technical or adaptive. If the real change required is in how people lead, collaborate, and own outcomes, no platform closes that gap. That is what structured leadership development exists to do, and it is the distinction that separates organizations with real AI readiness from those with the appearance of it.
Statistic of the week
72% of executives say they feel unprepared to navigate the AI-driven organizational transformation they expect.
The gap between expectation and readiness is where leadership risk concentrates. Most organizations are deploying AI faster than they are developing the leaders who can guide it well.
Source: McKinsey & Company, "The State of Organizations 2026"
Middle East and Saudi lens
Saudi Arabia steps up as a global AI governance player
Saudi Arabia formally joined the Global Partnership on Artificial Intelligence (GPAI), the multilateral body hosted by the OECD and launched by the G7, in a move led by the Saudi Data and Artificial Intelligence Authority (SDAIA). The Kingdom is also hosting the fourth Global AI Summit in September 2026, under the patronage of Crown Prince Mohammed bin Salman, bringing together heads of state, technology CEOs, researchers, and policymakers.
The significance extends beyond investment. Saudi Arabia's move from AI deployer to governance participant signals a deliberate strategic shift: the Kingdom is positioning itself as a rule-setter, not just an adopter. For organizations operating in the region, governance standards and expectations are maturing faster than many may assume. Leadership readiness for AI governance is no longer optional.
Source: Saudi Data and Artificial Intelligence Authority (SDAIA), 2026; vision2030.ai
Closing insight
The 72% of executives who say they feel unprepared are not admitting failure. They are being honest about a genuine gap, and that honesty is itself a form of leadership clarity.
Most readiness gaps are not capability gaps. They are clarity gaps: unclear expectations about what AI-integrated leadership actually requires, undefined ownership of what happens when AI gets things wrong, and leadership development agendas that have not kept pace with deployment ambition.
Closing the gap is not a technology decision. It is a leadership one. And it starts with the same question Adaptive Leadership always asks: what is the change that actually needs to happen here, and who needs to do it?
Zahi Abdein