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Should you’re questioning whether or not or to not spend money on AI at your organization, right here’s a brand new information level to contemplate: The extra money an organization invests in AI, the upper the income progress per employee. That’s in response to a brand new report from PwC, which analyzed near a billion job advertisements 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 present staff extra productive, PwC concludes in “The Fearless Future: PwC’s 2025 International AI Jobs Barometer,” which it printed 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 beneficial.”
After all, AI doesn’t make all folks extra beneficial. Sure job titles are extra conducive to getting that AI productiveness bump than others. Of us who’ve expertise which might be in excessive demand, comparable 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 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 vitality 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 building, mining and quarrying, and human well being actions, all of which carried a premium decrease than 20%.
The job of information 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 information engineers, comparable to writing SQL and constructing information pipelines, ETL maker Matillion is taking one other strategy.
With its just lately launched agentic AI technique, dubbed Maia, Matillion is seeking to increase information engineers utilizing AI. As a substitute of changing information engineers, agentic AI will supercharge them to have the ability to deal with the larger workloads that the AI revolution is producing.
The information means that the concept that AI might be a web loser for human jobs and human wages might must 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 affect that AI can have on a given job. AI-exposed jobs are jobs the place AI could be instantly used, comparable to monetary analysts and information entry work. Augmentable jobs are jobs the place AI can improve or assist human judgement, comparable to surgeons or judges. Automatable jobs are jobs the place AI can perform some duties, comparable to programmer or customer support staff.
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“AI amplifies experience,” says Matt Wooden, world and US business know-how and innovation officer for PwC US. “It doesn’t exchange your skill to assume; it makes you a greater thinker. It doesn’t exchange your skill to resolve issues; it makes you a greater downside solver.”
PwC provided 5 items of recommendation for a way enterprise leaders ought to strategy AI. First, firms ought to transfer past remoted use instances and search enterprise-wide AI adoption plans. Secondly, AI needs to be handled as a method to develop top-line revenues, not simply to spice up effectivity.
Agentic AI needs to 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 vital for unlocking AI’s energy.
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