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If you happen to’re questioning whether or not or to not put money into AI at your organization, right here’s a brand new knowledge level to contemplate: The more cash an organization invests in AI, the upper the income progress per employee. That’s in accordance with a brand new report from PwC, which analyzed near a billion job advertisements and monetary reviews 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 World AI Jobs Barometer,” which it revealed earlier this month.
“Industries most in a position to make use of AI have 3x greater progress in income generated by every worker,” PwC writes within the report. “AI makes folks extra invaluable.”
After all, AI doesn’t make all folks extra invaluable. Sure job titles are extra conducive to getting that AI productiveness bump than others. People who’ve abilities which might be in excessive demand, equivalent to immediate engineering, for instance, command a 56% wage premium in comparison with those that don’t.
Wages grew extra for people with AI abilities, in accordance with PwC (Supply: “The Fearless Future: PwC’s 2025 World AI Jobs Barometer”)
AI gave the most important wage premium to staff within the wholesale and retail commerce enterprise, the place staff with AI abilities commanded a 120% increase 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 attributable to AI. Whereas some corporations would possibly look to agentic AI to take over a number of the duties from knowledge engineers, equivalent to writing SQL and constructing knowledge pipelines, ETL maker Matillion is taking one other method.
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 information means that the concept that AI will probably be a web loser for human jobs and human wages could have to be revisited, PwC says. “Opposite to fears about job losses, job numbers–and wages–are rising in nearly each AI-exposed occupation, together with probably 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 might be straight used, equivalent to monetary analysts and knowledge entry work. Augmentable jobs are jobs the place AI can improve or assist human judgement, equivalent to surgeons or judges. Automatable jobs are jobs the place AI can perform some duties, equivalent to programmer or customer support staff.
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“AI amplifies experience,” says Matt Wooden, world and US industrial know-how and innovation officer for PwC US. “It doesn’t change your skill to suppose; it makes you a greater thinker. It doesn’t change your skill to unravel issues; it makes you a greater drawback solver.”
PwC supplied 5 items of recommendation for a way enterprise leaders ought to method AI. First, firms ought to transfer past remoted use instances 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 consider upskilling their workforces to have the ability to use AI. Lastly, belief is crucial for unlocking AI’s energy.
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