A newly released global tech study from KPMG has injected a heavy dose of reality into the conversation around corporate workforce planning, revealing that managing artificial intelligence agents will be an absolute make-or-break workplace skill within the next five years.
The survey, which captured data from 2,500 technology executives across 27 countries, highlights a massive structural migration. As companies transition from passive, text-generating generative AI to proactive, autonomous “agentic AI,” the traditional definition of team management is being entirely rewritten.
1. The Numbers: The Rise of the “Digital Teammate”
The baseline data points out that organizations are no longer just treating AI as a background tool, but as active personnel:
- The 92% Consensus: An overwhelming 92% of technology executives stated that the ability to orchestrate, audit, and direct autonomous AI agents will be a vital, core requirement for human managers heading into 2031.
- Active Pipeline Capital: Rather than waiting for the technology to mature, 88% of corporations are already aggressively investing capital to build agentic AI frameworks directly into their current operational systems.
- The Team Composition Pivot: This shift is altering team structures. Digital assistants and AI agents are projected to comprise 36% of core corporate technology teams by 2027, a steep jump from the 28% benchmark tracked in 2025.
[ 2025 Workforce Baseline ] ──► Digital assistants account for 28% of tech teams
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[ 2027 Composition Target ] ──► AI agent staffing expands to 36% of core teams
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▼ (The 2031 Horizon Line)
[ 2031 Critical Skill Cap ] ──► 92% of executives identify *Managing AI Agents* as a mandatory requirement
2. Structural Realignment: “Play Smaller”
The integration of autonomous systems means human leaders must learn how to design, delegate to, and govern digital workers. Zack Kass, a global AI advisor and former Head of Go-To-Market at OpenAI, noted within the report that corporate value will shift dramatically:
“The future will not be defined by what machines can do. It will be defined by what we want machines to do.”
To survive this transition, Kass suggests that enterprises move toward drastically smaller teams and flatter organizational structures. By reducing administrative friction and human layers, companies can pivot faster, treating human employees as strategic “orchestrators” who oversee networks of specialized digital agents.
3. The 90% Partner Solution (and the Trust Catch)
Despite high ambitions, a massive structural bottleneck looms: 53% of organizations admit they currently lack the internal engineering and management talent required to safely execute and scale their digital transformation goals.
To bridge this massive knowledge deficit, 90% of tech leaders plan to rapidly expand their external partnerships over the next 12 months, leaning heavily on third-party developers, consulting hubs, and specialized AI vendors to fill the gaps.
The Integrity Caveat: This aggressive external reliance arrives with massive security, data protection, and governance red flags. Highlighting the dangers of rushing agentic automation without proper human oversight, KPMG itself was forced to pull a high-profile “Excellence in Agentic AI” publication earlier this year. The firm had to launch an internal investigation after several global entities named in the report (including Swiss bank UBS and the UK’s NHS) complained that the case studies detailing their supposed “advanced AI agent achievements” were completely fabricated—hallucinated by an AI tool that KPMG’s own human staff had failed to fact-check.
The corporate mandate is clear: the race to 2031 will not be won simply by purchasing the most advanced AI models. It will be won by the organizations that successfully train their human managers to apply strict, disciplined human-in-the-loop oversight to a growing, autonomous digital workforce.
