
"The introduction of AI agents into the corporate workforce is not like other technology disruptions. Unlike previous automation, agents are empowered to act autonomously on a user's behalf, which means work decisions will no longer be entirely made by humans. This represents an enormous leadership challenge. How do managers apply the standard skills of management when their team is no longer 100% human? Enterprise AI adoption has already reached saturation: 88% of organizations now use AI regularly in at least one business function,"
"The deeper change is the emergence of true humanagent collaboration. Sixty-two percent of organizations are now experimenting with AI agents, with 23% already scaling agentic systems in at least one function. When an agent drafts a proposal, negotiates terms or triages customer requests without waiting for human approval, the nature of work itself changes. The employee's role shifts from executor to orchestrator, not all that unlike a management role just with AI reports instead of human ones."
Autonomous AI agents are enabling systems to act on users' behalf, causing work decisions to move beyond exclusively human control. Enterprise AI adoption has surged, with 88% of organizations using AI regularly and widespread experimentation with agentic systems. Human-agent collaboration changes task ownership, as agents can draft proposals, negotiate terms, or triage requests without prior human approval. Employee roles evolve toward orchestrating agent actions and handling exceptions. Leaders must create frameworks for this spectrum, choosing whether to prioritize agent facility over domain expertise and addressing risks of skill atrophy and altered career development.
Read at digiday.com
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