# C-suite leaders struggle to see workforce needs as AI outpaces strategy > 78% of executives are implementing AI faster than they can measure its impact. Half of C-suite leaders lack visibility into the skills and roles their organizations will need as AI reshapes work. - Type: AI news - Page: https://completeaitraining.com/news/c-suite-leaders-struggle-to-see-workforce-needs-as-ai/ - Published: 2026-06-20 - Updated: 2026-08-10 - Author: Jeroen Erne - Jobs: Executives and strategy - Reading time: 3 min Half of C-suite leaders report limited visibility into the skills and roles their organizations will need as AI reshapes work, according to new research from LinkedIn. The survey of 1,252 executives across the U.S., U.K., and India found that 78% are implementing AI faster than they can measure its impact. The findings expose a leadership gap that is becoming a central obstacle to enterprise AI adoption, even as companies accelerate their technology investments. Mark Lobosco, Chief Business Officer at LinkedIn, described the situation in blunt terms. "We're at this place where the C-suite is navigating this moment without a real playbook they can rely on," he said in an interview with Fortune. The data points to what LinkedIn calls a workforce "blind spot," but the issue runs deeper than uncertainty about future skills. Leaders are being asked to champion transformation while questioning the management assumptions that defined their own careers. #### The top-down push and its limits Many organizations have responded with a top-down mandate for AI adoption. Lobosco argues that approach will not succeed on its own. Effective transformation depends on employees seeing AI as a tool for career growth, not job displacement. That shift requires organizational trust as much as it requires technical capability. At the same time, executives cannot outsource responsibility for AI transformation. Leaders who lack hands-on experience with AI tools may struggle to build credibility with teams expected to use those tools daily. "You can't ask your team to do something that you don't know how to do yourself," Lobosco said. The urgency is growing as organizations create entirely new categories of work. According to the survey, 82% of C-suite leaders report the emergence of new AI-related roles since 2022. These include AI engineers, responsible AI architects, and forward-deployed engineers. Yet many of those same organizations remain uncertain about what their workforce structures will look like within two years. #### New roles, old management models The disconnect between AI investment and workforce clarity highlights a growing execution challenge. Companies are hiring AI talent and running experiments while lacking a clear vision for how the technology will reshape workflows, decision-making, and organizational design. Leadership advisers increasingly argue that traditional management approaches are poorly suited to this environment. Carolyn Dewar, founder of McKinsey's CEO practice, has pointed out that the execution discipline that drove success over the past decade is becoming less effective. In its place, leaders must rely on judgment, strategic imagination, and adaptability. Operational leaders are encountering similar friction. At Fortune's COO Summit, Okta President and COO Eric Kelleher noted that managers have historically been trained to optimize human headcount, not to coordinate work between human and digital workers. As AI embeds itself into business processes, organizations may need to rethink budgeting, workforce planning, and performance management from the ground up. This level of redesign touches on core areas covered in resources like [AI for Human Resources](https://completeaitraining.com/tag/human-resources/). #### Redesigning around AI, not just adopting it The challenge is not simply adopting AI but restructuring organizations around it. Much like factories initially used electricity to power existing machinery before eventually reconfiguring entire production systems, many companies today are layering AI onto existing workflows rather than fundamentally rethinking how work gets done. The question for leadership teams is whether they can evolve quickly enough to lead that redesign. LinkedIn's findings suggest that while companies are moving aggressively on AI, many executives are still determining what the destination should look like-and how to bring their organizations there. For those in strategic roles, this uncertainty underscores the need for dedicated guidance on [AI for Executives & Strategy](https://completeaitraining.com/tag/executives-and-strategy/). #### Why this matters for executives and strategy leaders Executives are being asked to lead a transformation they do not yet fully understand, and the playbook does not exist. The most immediate risk is not falling behind on AI adoption-it is scaling AI without a coherent workforce strategy. Leaders who skip the hard work of redesigning roles, workflows, and management models will find themselves with expensive AI tools bolted onto organizations that are not built to use them. The executives who close the visibility gap now, by gaining firsthand AI experience and rethinking how work is structured, will be the ones who turn AI investment into durable competitive advantage. --- This is the Markdown form of https://completeaitraining.com/news/c-suite-leaders-struggle-to-see-workforce-needs-as-ai/. 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