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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 information level to think about: The more cash an organization invests in AI, the upper the income development 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, corporations 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 revealed earlier this month.
“Industries most in a position to make use of AI have 3x larger development in income generated by every worker,” PwC writes within the report. “AI makes folks extra worthwhile.”
In fact, AI doesn’t make all folks extra worthwhile. Sure job titles are extra conducive to getting that AI productiveness bump than others. People 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 people with AI expertise, in accordance with PwC (Supply: “The Fearless Future: PwC’s 2025 International 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 development, 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 because of AI. Whereas some corporations would possibly look to agentic AI to take over among the duties from information engineers, comparable to writing SQL and constructing information pipelines, ETL maker Matillion is taking one other method.
With its not too long ago 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 info means that the concept AI might be a internet 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 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 impression that AI can have on a given job. AI-exposed jobs are jobs the place AI might be immediately used, comparable to monetary analysts and information entry work. Augmentable jobs are jobs the place AI can improve or help 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, international and US business expertise and innovation officer for PwC US. “It doesn’t substitute your capability to suppose; it makes you a greater thinker. It doesn’t substitute your capability to resolve issues; it makes you a greater downside solver.”
PwC provided 5 items of recommendation for the way enterprise leaders ought to method AI. First, corporations 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 “power multiplier,” PwC says. Leaders additionally ought to consider upskilling their workforces to have the ability to use AI. Lastly, belief is important for unlocking AI’s energy.
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