The rise of on-demand leadership in the AI economy | Fortune
Briefly

The rise of on-demand leadership in the AI economy | Fortune
"A quiet but consequential shift is underway in the executive labor market. Companies are rethinking how they access senior judgment in the AI era. Rather than defaulting to full-time executive roles that command lofty salaries and long-term overhead, companies are increasingly turning to experienced consultants, strategists, and advisors to provide leadership on a limited and targeted basis. This is not a dilution of leadership, but a recalibration of where experience delivers the most value."
"The underlying driver is the implementation gap. After years of AI experimentation, organizations are struggling to convert tools into returns. While they do not lack models or software, many lack orchestration. Companies are increasingly turning to AI consultants and strategists to align technology with business realities, governance, and incentives, work that requires credibility, cross-functional fluency, and the kind of judgment typically associated with senior leadership roles."
"The labor market now reflects a clear division of labor. Demand is rising simultaneously for full-time technical AI talent and for senior professionals who can translate those capabilities into business outcomes. As companies scale internal AI teams, they are increasingly relying on external advisors and consultants to provide the judgment required to direct that work at critical moments. The supply side of this shift is shaped by organizational reality."
Companies are shifting from hiring full-time executives toward engaging experienced consultants, strategists, and advisors for targeted senior judgment. AI engineering and strategy roles are among the fastest-growing, reflecting rising demand for both technical talent and strategic translation. Organizations struggle to convert AI tools into returns due to an implementation gap and weak orchestration. External advisors supply credibility, cross-functional fluency, governance, and incentive alignment to translate models into business outcomes. AI lowers execution costs while concentrating risk into fewer high-impact strategic choices, increasing the value of judgment at critical moments. The labor market now divides technical execution from episodic senior guidance.
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