【AI+Applications】Deloitte Report: AI Transformation Currently Faces "Adaptability Gap" 85% of Executives Recognize Its Importance Only 7% Have Made Progress

As artificial intelligence (AI) integrates into daily work routines, a report from accounting firm Deloitte mentions that embedding AI at the core of work enables organizations and employees to operate and execute efficiently, further driving growth. 85% of surveyed senior management believe cultivating organizational and employee adaptability is important, but only 7% say they have made significant progress in this area.

The report shows that 66% of senior executives believe intentionally designing human-machine interaction models is crucial for organizational success, but only 6% claim to be leading in this field. This significant gap highlights that traditional corporate functions are facing deep-rooted challenges in AI transformation amid the fast-paced modern work environment, where “technology advances quickly, but organizations lag behind.”

Rong Yan, Partner and Head of Organization and Talent Transformation Consulting at Deloitte Asia Pacific, and Head of Human Capital Consulting in Deloitte China, stated that companies are entering a highly compressed growth cycle. As AI accelerates its penetration, the window for transitioning from growth to stagnation and then to transformation is rapidly shrinking.

New Competitive Divide: 70% of Senior Executives List “Agility” as the Top Strategy

She pointed out that in the next three years, 70% of senior management teams have prioritized “rapid response and flexible adaptation” as their strategic focus. The true competitive divide no longer stems from technological gaps but from whether organizations can build human-centered resilience and adaptability, which are the core engines for winning in the AI era.

The report recommends that companies should upgrade from “change management” to “proactive responsiveness,” including continuous learning, real-time feedback, and instant support mechanisms integrated into daily operations.

Rong Yan emphasized that genuine transformation is far from simply connecting humans and machines; its core lies in redesigning work models at key points of human-machine collaboration—clearly defining decision-making authority, establishing trust thresholds, and ensuring fair and transparent processes—to unleash efficiency and avoid falling into internal efficiency conflicts and management chaos.

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