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The KPMG Q3 Pulse survey reveals a widening adoption gap, with forty-eight percent of high-ROI enterprises utilizing AI agents compared to fifteen percent of experimenting firms. Mature organizations also lead in deploying AI-assisted cyber defenses and formal data sovereignty strategies.
Enterprises are transitioning from basic cost controls to active economic management of AI assets. KPMG reports that seventy-seven percent of mature organizations now use cost-monitoring dashboards, and nearly half enforce strict token or usage budgets.
Enterprise priorities are shifting from pure productivity gains toward operational resilience and governance. Despite this focus on efficiency, KPMG found that average planned enterprise AI investments rose to two hundred and ten million dollars for the upcoming year.
A study by KPMG and the University of Texas at Austin of over 500 professionals found that top performers, called AI amplifiers, succeed by guiding and refining AI outputs rather than relying solely on their existing skill sets.
A study of over 500 early career professionals by KPMG and the University of Texas at Austin identified AI amplifiers. These top performers consistently maximize technology value by actively guiding, evaluating, and refining model outputs.