AI adoption accelerates across all industries

Artificial intelligence (AI) adoption is accelerating across all industries – including those less obviously exposed to AI technology. That’s according to PwC’s 2025 Global AI Jobs Barometer.

PwC analyzed nearly a billion job ads in six continents across 80 industries to determine AI’s impact on jobs, skills, wages and productivity.

The findings show that the skills sought by employers for AI-exposed jobs are changing 66 percent faster than for other roles, while workers with AI skills command a 56 percent wage premium – up from 25 percent last year.

What’s more, rather than taking jobs, the report suggests roles are growing in virtually every AI-exposed occupation.

AI makes workers more productive

Industries more exposed to AI have a three-times higher growth in revenue per employee, with AI making workers more productive and enabling them to create more value, according to PwC. Since 2022, revenue growth in industries best positioned to adopt AI has nearly quadrupled. This suggests that investments in AI are paying off. 

Wages are also being impacted, rising twice as quickly in those industries most exposed to AI compared to those least exposed, PwC found. Wages are rising for AI-powered workers even in the most highly automatable roles, suggesting that concerns that AI is devaluing automatable roles in the aggregate may be misplaced.

The value that AI-powered workers bring is apparent in the wage premium for workers with AI skills like prompt engineering, PwC stated. “We compared the wages of workers in a given occupation who differ only on whether they have AI skills. We found that on average, the wages of workers with AI skills were significantly higher. What’s more, every industry we analyzed pays wage premiums for AI skills,” PwC wrote.

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AI is redefining roles, OPEX and business transformation

AI is redefining roles faster and faster – creating rapid change in the skills required to succeed in AI-powered jobs. Workers must demonstrate that they have the skills to succeed in an AI era, PwC said.

“This acceleration demands action,” said Peter Brown, global workforce leader at PwC. “To stay competitive, leaders need a clear, data-driven view of their workforce’s skills gaps and a plan to close them. The choices made today around roles, reskilling and workforce design will shape an organization’s future in the AI era.

In the PEX Report 2025, AI was found to be the biggest investment area for enhancing operational excellence (OPEX) and business transformation. Almost half of surveyed respondents said they plan to invest in AI solutions in the coming year.

More than half of businesses (58 percent) said they have discussed potential AI projects to drive OPEX and transformation objectives, while 14 percent of respondents are in the process of developing their first AI pilot project. The same number (14 percent) have piloted at least one project, with 6 percent having operationalized one AI project, dropping to 5 percent that have operationalized multiple successful AI projects.

The areas where AI is being leveraged the most are in operations (35 percent), customer service and call centers (29 percent) and data processing and management (24 percent). 

How process intelligence transforms manufacturing & supply chains: 2025 industry report

This industry report examines how and why organizations are investing in process intelligence to enhance manufacturing and supply chain management. “Global manufacturing and supply chains face enormous volatility in 2025,” says Michael Ochi, director at QAD. “Individual organizations feel tremendous pressure but also have new opportunities to grow. Any combination of protective and expansive business strategies requires constant speed and awareness.” 

Organizations with significant manufacturing and supply chain operations are turning to process intelligence because it is uniquely capable of providing speed and awareness to any part of the business that leverages software.

Download the report to explore:

• The top five trends shaping process intelligence.
• Case study examples of process intelligence transforming manufacturing and supply chains.
• The key success factors and challenges of process intelligence adoption

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