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PwC Survey: Expanding AI Adoption Heightens Turnover Risk Among Top Performers

According to a global PwC survey, 64 percent of workers use AI. However, sluggish innovation cultures are driving nearly a third of skilled pioneers to look for new jobs.

This article was AI-generated and published automatically. Context, labelling and all sources at the end of the article.

(KI-generiertes Symbolbild: Gemini / AI Connect)

The adoption of artificial intelligence in corporate workplaces has expanded significantly over the past year. According to the Global Workforce Hopes and Fears Survey released by consulting firm PwC on September 29, 2026, 64 percent of workers worldwide now employ AI tools in their daily responsibilities. This figure represents a ten percentage point increase compared to the previous year. For the comprehensive study, PwC surveyed 49,364 employees across 48 countries and 29 industries.

Routine engagement with generative AI tools is accelerating at an especially rapid pace. The share of professionals using these systems on a daily basis increased from 14 percent in the previous survey to 22 percent, marking a relative increase of more than fifty percent. Furthermore, 59 percent of respondents anticipate that their personal reliance on these tools will increase even further over the next twelve months. The technology is rapidly transforming from an experimental novelty into an operational baseline.

However, the study highlights a widening rift within corporate workforces. Nearly a third of the most technologically proficient staff, classified by PwC as front-runners, are actively contemplating an exit from their current employers. Specifically, 29 percent of these highly skilled individuals state that they are very likely to leave their company within the next twelve months. Many cite rigid organizational hierarchies and cultures that obstruct innovation as the primary motive for their planned departure.

This discontent among top performers coincides with an apparent rollback in employer-provided training opportunities. Only 51 percent of all surveyed employees report having adequate access to the learning resources required for their roles. In the previous year, that figure stood at 59 percent. Workers increasingly report feeling left to navigate technological transformations entirely on their own, rather than receiving structured support from corporate development programs.

This training deficit disproportionately affects the core operational workforce, which represents approximately 56 percent of employees. While small specialist groups receive focused training, access to structured education drops sharply across the broader employee base. The authors of the report warn that organizations risk creating a two-tier workforce. Such division undermines workplace cohesion and prevents businesses from realizing enterprise-wide productivity improvements through software automation.

Employers now confront a dual challenge: retaining their most capable digital talent through agile work environments while simultaneously upskilling the general workforce. Companies that introduce generative tools without broad training investments risk losing critical institutional knowledge to faster rivals. Achieving a sustainable transition demands continuous educational pathways that remain accessible to all staff tiers while removing administrative roadblocks to new ideas.

What this means for you

For employees, these findings indicate that strong personal AI proficiency significantly expands outside career mobility. Skilled practitioners facing bureaucratic inertia have strong incentives to seek out more agile organizations. Leadership teams must balance targeted investments with broad training access to prevent talent attrition and workforce division.

Evidence

Well sourced
78/100
  • PwC surveyed 49,364 employees across 48 countries and 29 industries for its Global Workforce Hopes and Fears Survey 2026.

    single source
  • Worldwide workplace AI usage reached 64 percent, while daily generative AI adoption grew from 14 to 22 percent.

    verified
  • 29 percent of highly skilled AI front-runners report that they are very likely to leave their current employer within twelve months.

    verified
  • Only 51 percent of employees state they have access to necessary training resources, down from 59 percent in the prior year.

    verified

The evidence score is computed, not hand-set: from confidence, the number of sources and the share of verified statements.

Source & transparency

As of: October 07, 2026

AI-generatedAI-generated: produced automatically from vetted sources with technical quality checks (source, quote and figure verification); no human sign-off of each item before publication

Sources
3
Verified statements
3 / 4
Evidence score
78Well sourced

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