The Talent Gap Behind the Next Organizational Shift

November 9, 2026 – McKinsey’s The State of Organizations 2026 identifies three “tectonic forces” reshaping companies: technology disruption, economic and geopolitical uncertainty, and fundamental workforce shifts. Drawing on more than 10,000 leaders across 16 countries and 17 industries, including more than 3,000 U.S. respondents, the report finds organizational priorities shifting from short-term resilience toward sustained productivity, performance, and long-term value creation.

Yet companies appear considerably less prepared for that transition than their ambitions suggest. McKinsey & Company finds that 72 percent of leaders believe their organizations are not fully ready for the changes ahead, with the disconnect particularly visible around AI.

The broader message is that these pressures cannot be addressed independently. Technology adoption increasingly requires workforce redesign, productivity improvements require changes to how talent is deployed, and both depend on leaders capable of guiding organizations through continuous transformation.

AI’s Biggest Barrier May Be Organizational

AI adoption is already widespread. McKinsey says 88 percent of organizations are deploying AI somewhere within their businesses, yet 81 percent report no meaningful bottom-line gains. In the United States, only one percent of C-suite respondents describe their generative AI rollouts as mature, while just 19 percent report AI-driven revenue increases greater than five percent.

The challenge increasingly extends beyond technology. Eighty-six percent of leaders say their organizations are not very prepared to adopt AI in day-to-day operations, and one in six lacks a clear C-level owner for adoption. Change management, organizational silos, and workforce readiness are emerging as significant obstacles.

“The next stage of AI adoption is becoming a leadership and talent challenge as much as a technology challenge,” said Evan Berta, an associate at Hunt Scanlon Ventures. “Companies can invest heavily in the tools, but without leaders who can redesign workflows, build trust, and develop the workforce around them, much of that potential will remain trapped in experimentation.”

McKinsey argues that capturing AI’s full value requires both technological and organizational transformation. Companies must rethink workflows, responsibilities, and where human judgment belongs as machines assume more work.

The Workforce Is Being Rebuilt Around Capabilities

That transformation is changing what organizations need from their people. Demand for AI fluency has grown sevenfold in two years in U.S. job postings, while global demand for applied AI talent more than tripled between 2018 and 2025. McKinsey estimates that around 75 percent of existing roles may ultimately need reshaping around new combinations of technological fluency and social, emotional, and higher-cognitive capabilities.

millionways Brings a New Behavioral Intelligence Lever to Executive Recruiters

Hunt Scanlon Ventures has completed its investment in millionways, a New York-headquartered company that builds a behavioral intelligence layer of AI for human agent workforces, utilizing a proprietary Large Psychology Model called Thorsten-4. The platform focuses on understanding human signals, motives, and behavior patterns, with applications used across AI governance, executive hiring, talent management, and enterprise environments.

“millionways is a trailblazer in this newly emerging space,” said Scott A. Scanlon, CEO and co-founder of Hunt Scanlon Ventures and a senior advisor to company co-founders Martin Cordsmeier and Max Weidemann. “As investors, we see behavioral intelligence as a new layer of AI infrastructure, giving artificial intelligence a missing layer – the ability to interpret the human dynamics behind communication and decision-making. In our view, organizations that can better understand the convergence of leadership and human behavior patterns will create meaningful competitive advantage in the years ahead. Behavioral intelligence will become central to everyday enterprise decision-making,” he said.

This is not simply a story of job elimination. When generative AI has eliminated roles, 54 percent of leaders report upskilling, reskilling, or redeploying affected employees, while only one in five eliminated the role entirely.

“Talent strategy is moving from filling roles to building capabilities,” said Mr. Berta. “Companies increasingly need to determine which skills they can develop internally, which leaders they need to bring in from outside, and how quickly they can redeploy talent as their operating models change.”

For executive search and leadership advisory firms, that raises the stakes. Organizations increasingly need leaders who can translate technology into business impact while building teams that combine deep domain expertise with AI fluency.

Productivity Requires More Than Cutting

The pressure extends beyond AI. Forty-three percent of leaders identify productivity growth as their top priority, while two-thirds believe their organizations are overly complex and inefficient. McKinsey argues that traditional responses such as restructuring, flatter hierarchies, and cost reduction are producing diminishing returns because they often leave underlying workflows and behaviors unchanged.

Related: Beyond the Single AI Path: You Can Have It All

Instead, organizations are beginning to rethink how work actually moves across the enterprise. McKinsey says end-to-end process redesign can increase decision-cycle speed as much as threefold, while simplifying governance can free between 20 and 60 percent of management time for strategic work.

That also requires companies to rethink where their best people are deployed. Only 30 percent currently reallocate resources enterprise-wide, while resistance and managerial protectionism remain the biggest barriers to dynamically moving budget and talent.

“The organizations that outperform will be those willing to move their strongest people toward their highest-value priorities,” said Mr. Berta. “Talent cannot remain locked inside legacy structures while strategy, technology, and competitive conditions are changing around it.”

Leadership Becomes the Differentiator

Perhaps the report’s most important implication is that technological disruption is increasing rather than reducing the importance of leadership. McKinsey finds that human-centric leadership is associated with stronger retention, trust, decision-making, and organizational adaptability.

Performance and people also appear increasingly interconnected. Organizations that combine investment in people with a strong performance orientation are 4.3 times more likely than the average company to sustain top-tier financial performance for nine out of ten years. They also experience roughly half the earnings volatility and about five percent lower attrition.

“The leadership profile is becoming more demanding because executives are being asked to transform the business while still delivering today’s results,” said Mr. Berta. “That places a premium on leaders who can combine strategic judgment with adaptability and bring people through continuous change.”

McKinsey ultimately describes this environment as “business as change.” Transformation is no longer an episodic initiative followed by a return to normal; organizations increasingly need the permanent ability to adapt.

For the human capital industry, that may be the report’s most important takeaway. The organizations that emerge strongest will not necessarily be those that adopt technology fastest, but those that can continually align leadership, talent, and organizational capabilities with where the business is going next.

Reprinted with permission from ExitUp!

Contributed by Scott A. Scanlon, Co-CEO, Evan Berta, associate – Hunt Scanlon Ventures