PwC Report Highlights AI's Impact on Productivity and Wages
PwC has released its 2025 Global AI Jobs Barometer, revealing significant impacts of AI on productivity and wages. In a press release, PwC states that AI has led to a fourfold increase in productivity growth in industries most exposed to AI, such as financial services and software publishing. These industries saw productivity rise from 7% between 2018 and 2022 to 27% from 2018 to 2024.
The report also highlights a 56% wage premium for AI-skilled workers in 2024, doubling the 25% premium from the previous year. Despite concerns about job losses due to automation, job availability grew by 38% in roles more exposed to AI, although this was below the growth rate in less exposed occupations.
Additionally, the report notes that industries most exposed to AI experienced three times higher growth in revenue per employee compared to those least exposed. The demand for AI skills is rapidly changing, with employer requirements evolving 66% faster in AI-exposed jobs compared to the previous year.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Oct 16 RapidCanvas Raises $29 Million to Expand Enterprise AI Platform Oct 16 Goodweek Raises $12 Million for AI Management Platform Oct 16 ALTOUR Unveils AI Platform for Corporate Travel Decisions Oct 16 BOC Group Adds AI Assistant to ADOIT 21 Oct 16 Huawei Brings Upgraded Stellar Network Solution to EuropeEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Workday Finds Demand for Basic AI Skills Fell 25%
Australian minister says AI may narrow skill gaps but widen wealth inequality
Cognizant Finds 80% of Employees Want More AI Use at Work
BCG Finds Nearly Half of Companies Generate Value From AI
UCLA Forecast Says AI Investment Adds Nearly One Point to Core US GDP Growth
Daily AI Brief: the AI news that matters, in your inbox.