Corporate Brain Drain Warning: PwC Says AI-Savvy Employees Could Leave Companies for Startups

The corporate brain drain warning is becoming more pronounced as businesses accelerate their adoption of artificial intelligence. A new PwC survey shows that employees with strong AI capabilities and scarce skills are becoming more confident and mobile, while a much larger share of the workforce is struggling to access the training needed to keep pace.

PwC’s 2026 Global Workforce Hopes and Fears Survey, based on responses from 49,364 workers across 48 countries and regions, found that nearly one-third of highly skilled, AI-capable “front-runner” employees said they were very or extremely likely to change employers within the next year.

At the same time, the majority of workers are not receiving comparable opportunities to develop their skills, creating a widening divide inside organizations.

AI-Savvy Employees Are Becoming More Mobile

PwC divided workers into four broad groups based on the scarcity of their skills and their progress with AI.

The “front-runners” account for 14% of workers and combine scarce skills with strong AI capabilities. According to PwC, 29% of this group said they were very or extremely likely to change employers during the next year.

These employees are particularly valuable because they combine technical or specialized expertise with the ability to use AI effectively.

For companies, losing even a relatively small number of such employees could have an outsized impact if they possess knowledge that is difficult to replace.

Majority of Workers Risk Falling Behind

The more significant concern highlighted by PwC is the gap between AI leaders and the rest of the workforce.

The survey found that 56% of workers fall into what PwC calls the “Engine Room” category. These employees have less scarce skills and are not yet far along the AI learning curve.

Only around two in five workers in this group said they have access to the learning and development resources they need.

Across the entire workforce, just 51% said they have access to the necessary learning and development resources, down from 59% in the previous year’s survey.

That decline comes at a time when AI adoption is accelerating.

AI Use at Work Is Rising Rapidly

PwC found that 64% of workers had used AI at work during the previous 12 months, a 10-percentage-point increase from the prior year.

Daily generative AI usage also increased from 14% to 22%. Meanwhile, 59% of workers expect their use of AI tools at work to increase over the following year.

The survey suggests that employees who are already using AI frequently are experiencing a more positive relationship with workplace technology.

Daily AI users reported greater confidence in their job security than infrequent users, with 68% expressing confidence compared with 57% among infrequent users. They were also more likely to seek promotions, trust senior management and feel confident about learning new skills.

Why Startups Could Benefit From the Talent Shift

The growing mobility of AI-capable workers creates an opportunity for startups and smaller technology companies.

Startups often compete with large corporations by offering employees opportunities to work directly on new products, experiment with emerging technologies and take on broader responsibilities.

For highly skilled AI professionals, those environments can provide opportunities to develop new applications and move quickly from experimentation to deployment.

PwC’s findings do not establish that AI-skilled employees are broadly moving from large corporations to startups. However, the high stated willingness among front-runners to change employers highlights the retention challenge companies face as demand for AI expertise increases.

The broader labor-market picture also shows why these workers have significant leverage.

AI Skills Command a Growing Wage Premium

PwC’s 2026 AI Jobs Barometer found that jobs requiring specific AI skills were growing substantially faster than the overall jobs market.

The report found that AI-skilled job postings grew by 69%, compared with 9% growth for the broader jobs market. PwC also estimated that workers with AI skills received an average 62% wage premium.

That combination of strong demand and higher compensation can make experienced AI professionals attractive targets for companies seeking to accelerate their own AI strategies.

PwC’s analysis also found that companies most exposed to AI recorded faster headcount growth than companies least able to use AI, suggesting that AI adoption is not necessarily translating into straightforward workforce reductions.

Companies Face a Two-Sided Workforce Challenge

The survey presents companies with two related challenges.

First, organizations need to retain employees who already have advanced AI skills.

Second, they need to ensure that the majority of their workforce has opportunities to develop new capabilities rather than allowing an increasingly large skills divide to emerge.

PwC Global Workforce Leader Pete Brown said companies need to keep developing their most capable employees while also ensuring that investment does not come at the expense of the wider workforce.

This means employee retention cannot be separated from workforce development.

Training Is Becoming a Strategic Business Issue

The decline in access to learning resources is particularly important because AI is changing job requirements at a rapid pace.

PwC’s AI Jobs Barometer found that AI-exposed entry-level jobs in the United States are increasingly requiring traditionally senior-level skills such as judgment, leadership and creativity. Those roles grew 35% between 2019 and 2025, while other entry-level roles declined 10%.

This suggests that companies may need to rethink traditional career-development models.

Workers can no longer rely solely on years of experience to build expertise if AI is changing how quickly tasks and responsibilities evolve.

PwC Calls for Workforce Redesign

PwC’s broader 2026 AI research argues that successful AI adoption requires organizations to rethink not only technology but also work, workforce structures and individual worker roles.

The firm says companies should focus on redesigning workflows, developing AI-related capabilities and creating roles that allow employees to work effectively alongside AI systems.

PwC also identifies the emergence of the AI generalist—workers who understand how to use and oversee AI systems across different tasks—as an important development in the future workforce.

For employers, that could mean hiring for adaptability and AI fluency while simultaneously investing in existing employees.

The Corporate AI Skills Gap Could Widen

The PwC findings point to a workforce developing at different speeds.

AI adoption is increasing, but access to training is not keeping pace. Highly capable workers are becoming more confident and more willing to explore opportunities elsewhere, while a majority of employees remain less advanced in their AI journey.

If that divide continues, companies could face a combination of talent retention problems and internal skills shortages.

The challenge is therefore not simply finding AI experts. It is building an organization in which more employees can develop AI capabilities while the people who already possess scarce expertise have reasons to stay.

Key Highlights of PwC’s Workforce Study

• PwC surveyed 49,364 workers across 48 countries and regions.
• 64% of workers said they had used AI at work during the previous 12 months.
• Daily generative AI use increased from 14% to 22%.
• 59% expect their workplace AI use to increase over the next year.
• 56% of workers fall into PwC’s “Engine Room” category.
• Only 51% of workers said they have access to the learning resources they need.
• 29% of AI-skilled “front-runners” said they were very or extremely likely to change employers within a year.
• AI-skilled jobs are growing faster than the broader jobs market.
• PwC’s AI Jobs Barometer estimates a 62% average wage premium for AI skills.

Frequently Asked Questions

1. What is the corporate brain drain warning from PwC?

PwC’s latest workforce research highlights the possibility that companies could struggle to retain employees with scarce skills and strong AI capabilities while a much larger portion of their workforce lacks sufficient access to AI-related training.

2. How many AI-skilled workers may consider changing jobs?

PwC found that 29% of its “front-runner” group—workers with scarce skills and strong AI capabilities—said they were very or extremely likely to change employers within the next year.

3. How many workers are falling behind in AI skills?

PwC classifies 56% of workers as part of the “Engine Room,” meaning their skills are less scarce and they are not far along the AI learning curve.

4. Is AI adoption increasing among employees?

Yes. PwC found that 64% of workers had used AI at work during the previous 12 months, up 10 percentage points from the previous survey.

5. How many workers use generative AI daily?

Daily generative AI use increased to 22%, compared with 14% in the previous survey.

6. Why are AI-skilled employees important to companies?

AI-skilled employees can combine specialized knowledge with the ability to use emerging AI tools, making them valuable for developing and implementing new AI-driven products, services and workflows.

7. Are AI-skilled jobs growing faster than other jobs?

PwC’s 2026 AI Jobs Barometer found that jobs requiring specific AI skills grew 69%, compared with 9% growth for the overall jobs market in its analysis.

8. What is the AI wage premium?

PwC estimated that workers with AI skills received an average 62% wage premium, although the premium varies significantly by industry and role.

9. What can companies do to retain AI talent?

PwC’s research points toward stronger career-development opportunities, AI training, redesigned roles, incentives and organizational structures that allow employees to use their skills effectively.

10. What is the biggest workforce issue highlighted by the study?

The central issue is the widening gap between employees who are rapidly adopting AI and developing scarce skills and the majority of workers who have less access to learning resources. PwC argues that companies need to address both talent retention and broad-based workforce development.