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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 information level to think about: The extra money 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 adverts and monetary reviews to reach at that conclusion.
As an alternative of changing human staff with AI, firms are discovering methods to make use of AI to make present 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 increased progress in income generated by every worker,” PwC writes within the report. “AI makes individuals extra invaluable.”
After all, AI doesn’t make all individuals extra invaluable. Sure job titles are extra conducive to getting that AI productiveness bump than others. People who’ve expertise which are in excessive demand, similar to immediate engineering, for instance, command a 56% wage premium in comparison with those that don’t.

Wages grew extra for folk with AI expertise, in accordance with PwC (Supply: “The Fearless Future: PwC’s 2025 World AI Jobs Barometer”)
AI gave the largest 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%, info and communication at about 95%, and transportation and storage at round 75%. Industries with the bottom premium for AI-skilled staff included building, mining and quarrying, and human well being actions, all of which carried a premium decrease than 20%.
The job of knowledge engineers can be in line for potential disruption resulting from AI. Whereas some corporations would possibly look to agentic AI to take over a few of the duties from information engineers, similar to writing SQL and constructing information pipelines, ETL maker Matillion is taking one other method.
With its just lately launched agentic AI technique, dubbed Maia, Matillion is seeking to increase information engineers utilizing AI. As an alternative of changing information engineers, agentic AI will supercharge them to have the ability to deal with the higher workloads that the AI revolution is producing.
The information means that the concept AI will probably be a web loser for human jobs and human wages might have to be revisited, PwC says. “Opposite to fears about job losses, job numbers–and wages–are rising in just about 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 affect that AI can have on a given job. AI-exposed jobs are jobs the place AI may be immediately used, similar to monetary analysts and information entry work. Augmentable jobs are jobs the place AI can improve or help human judgement, similar to surgeons or judges. Automatable jobs are jobs the place AI can perform some duties, similar to programmer or customer support staff.
“AI amplifies experience,” says Matt Wooden, world and US business know-how and innovation officer for PwC US. “It doesn’t substitute your skill to assume; it makes you a greater thinker. It doesn’t substitute your skill to unravel issues; it makes you a greater downside solver.”
PwC provided 5 items of recommendation for the way enterprise leaders ought to method AI. First, firms ought to transfer past remoted use circumstances and search enterprise-wide AI adoption plans. Secondly, AI ought to be handled as a method to develop top-line revenues, not simply to spice up effectivity.
Agentic AI ought to be prioritized because of its functionality to be a “power multiplier,” PwC says. Leaders additionally ought to focus on upskilling their workforces to have the ability to use AI. Lastly, belief is vital for unlocking AI’s energy.
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