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When you’re questioning whether or not or to not put money into AI at your organization, right here’s a brand new knowledge level to think about: The more cash an organization invests in AI, the upper the income development per employee. That’s in response to a brand new report from PwC, which analyzed near a billion job adverts and monetary experiences to reach at that conclusion.
As a substitute of changing human staff with AI, firms are discovering methods to make use of AI to make current staff extra productive, PwC concludes in “The Fearless Future: PwC’s 2025 International AI Jobs Barometer,” which it printed earlier this month.
“Industries most ready to make use of AI have 3x larger development in income generated by every worker,” PwC writes within the report. “AI makes folks extra helpful.”
After all, AI doesn’t make all folks extra helpful. Sure job titles are extra conducive to getting that AI productiveness bump than others. Of us who’ve expertise which can be in excessive demand, corresponding to immediate engineering, for instance, command a 56% wage premium in comparison with those that don’t.
Wages grew extra for people with AI expertise, in response to PwC (Supply: “The Fearless Future: PwC’s 2025 International AI Jobs Barometer”)
AI gave the most important wage premium to staff within the wholesale and retail commerce enterprise, the place staff with AI expertise commanded a 120% enhance relative to those that didn’t. That was adopted by power at 100%, data and communication at about 95%, and transportation and storage at round 75%. Industries with the bottom premium for AI-skilled staff included development, mining and quarrying, and human well being actions, all of which carried a premium decrease than 20%.
The job of knowledge engineers can also be in line for potential disruption as a consequence of AI. Whereas some corporations may look to agentic AI to take over among the duties from knowledge engineers, corresponding to writing SQL and constructing knowledge pipelines, ETL maker Matillion is taking one other strategy.
With its just lately launched agentic AI technique, dubbed Maia, Matillion is seeking to increase knowledge engineers utilizing AI. As a substitute of changing knowledge engineers, agentic AI will supercharge them to have the ability to deal with the better workloads that the AI revolution is producing.
The info means that the concept that AI will likely be a internet loser for human jobs and human wages might should be revisited, PwC says. “Opposite to fears about job losses, job numbers–and wages–are rising in nearly each AI-exposed occupation, together with essentially the most extremely automatable jobs,” the consultancy writes within the report.
PwC makes use of three buckets to categorise the potential influence that AI can have on a given job. AI-exposed jobs are jobs the place AI will be instantly used, corresponding to monetary analysts and knowledge entry work. Augmentable jobs are jobs the place AI can improve or help human judgement, corresponding to surgeons or judges. Automatable jobs are jobs the place AI can perform some duties, corresponding to programmer or customer support staff.
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“AI amplifies experience,” says Matt Wooden, world and US business expertise and innovation officer for PwC US. “It doesn’t substitute your means to assume; it makes you a greater thinker. It doesn’t substitute your means to resolve issues; it makes you a greater downside solver.”
PwC provided 5 items of recommendation for the way enterprise leaders ought to strategy AI. First, firms ought to transfer past remoted use circumstances and search enterprise-wide AI adoption plans. Secondly, AI must be handled as a technique to develop top-line revenues, not simply to spice up effectivity.
Agentic AI must be prioritized due to its functionality to be a “drive multiplier,” PwC says. Leaders additionally ought to think about upskilling their workforces to have the ability to use AI. Lastly, belief is crucial for unlocking AI’s energy.
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