Pay is rising fastest in the jobs most exposed to AI, and that should quiet some of the doom forecasts. Look closer at who is getting the raise, though, and a harder question appears. The premium is pooling at the senior end while entry-level hiring in those same fields shrinks. If businesses want this good-news story to last, they need to give junior people a way to do the work AI is rewarding, which is building and owning the process instead of only processing it.
The good news is real
The optimistic reading deserves credit first. Hiring Lab found that advertised salaries in the most AI-exposed occupations, including software development, IT support, data and analytics, marketing and finance, are growing faster than in the least exposed work, with the gap widening notably since 2024. That lines up with research published in The Conversation showing that industries with higher generative AI exposure between 2017 and 2024 saw stronger productivity, employment and wage growth.
Our AI Product Expert talked about this recently: automation can raise the value of human work rather than replace it, but only for businesses that fix their data and processes first. That condition matters, and it points to something the headline numbers hide.
The raise goes to whoever directs the work
Indeed's data shows the pay premium is large for senior roles, moderate at mid-level and negligible at entry level. Part of that is a shift in who employers are hiring. In the most exposed occupations, the entry-level share of postings fell from 29% to 10% between 2021 and 2026, while the senior share rose from 22% to 47%.
The gap comes down to one distinction: doing the task versus directing the system that does it. AI handles the routine layer of knowledge work well. The people who get paid more are the ones who decide what that layer should do, check its output and fix it when the process changes. Senior staff already sit in that seat. Junior staff mostly sat in the layer being automated.
Nobody gets to senior without a first rung
Entry-level work was never only cheap labor. It was where people learned how the business runs, which exceptions matter and why the process looks the way it does. Remove that rung, and in five years a company has a senior bench it cannot refill.
The pressure on that rung is visible. According to Challenger, Gray & Christmas, AI was cited in 116,175 announced US job cuts through August 2026, about 22% of all announced cuts, as Business Today reported. The wage picture is not uniform either. CNBC covered research finding that workers in highly AI-exposed occupations saw real-wage growth 6.7 percentage points slower after 2023 than those in less exposed ones, and MIT labor economist David Autor cautioned that knowing a job is exposed to AI tells you little about whether its employment or pay will rise or fall.
Exposure does not decide the outcome, how the work gets organized does.
Give junior staff something to build
Christos Makridis, the researcher behind The Conversation piece, argues that AI's broader economic effects depend on whether managers create environments where workers can experiment, reorganize tasks and integrate new tools into productive routines. Most junior employees have never had that option, because without a low-code platform changing a process meant filing a ticket and waiting.
A low-code platform changes who gets to make that change. With Ninox, a junior coordinator who knows exactly where the intake process breaks can describe the fix to the Ninox AI in plain language, build the form and the records behind it, and set up trigger-based automations with conditional logic. Instead of re-keying data between spreadsheets, they own the system that does it. IT keeps control through conditional, per-record permissions and API keys scoped to what each integration needs, on a platform that is GDPR compliant and ISO 27001 certified.
That is what the first rung looks like now. Junior people do not get less work, they rather get work that builds the judgment senior roles are paid for.
The ladder is a design choice
The shift is coming for almost everyone. In the World Economic Forum's Future of Jobs Report 2025, 86% of employers cited AI and information processing as a trend expected to transform their business by 2030. The businesses that come out ahead will be the ones that put a low-code platform in their junior staff's hands and treated them as future builders, not future casualties.
Take the next step.
