Korn Ferry Report: Entry-Level Jobs Aren't Dying
Korn Ferry's Class of 2030 survey: 81% of employers plan more early-career hiring. Entry-level jobs survive, and the work shifts to judgment and AI checks.
The junior job has spent most of October being eulogized. Dario Amodei has said since May 2025 that AI could wipe out half of entry-level white-collar jobs and push unemployment to 10 to 20 percent within five years. Anthropic's own employment report, published October 16, shows the company's junior share of new technical hires falling from 27 percent in early 2025 to 9 percent by mid-2026.
Four days later came the counterweight. On October 20, AMS, A Korn Ferry Company, released Class of 2030: The future of early careers hiring, a survey of more than 500 CHROs and talent acquisition leaders across 13 countries. Eighty-one percent of them said they plan to increase early-career hiring over the next two years. Not hold steady. Increase.
Both readings describe the same market. The Korn Ferry report does not say the entry-level job is safe. It says the job is being rewritten, and the rewrite favors people who can judge machine output over people who can only produce first drafts. That distinction decides who gets hired in 2027.
What the survey foundPermalink to “What the survey found”
Korn Ferry ran two quantitative surveys with Phronesis Partners. One covered more than 5,000 candidates across 13 countries, with a focused look at respondents aged 16 to 24. The other covered more than 500 CHROs, talent acquisition executives and senior HR leaders across 13 countries and 14 industries. Keep in mind who paid for it: AMS sells early-career hiring services, so read every number as a staffing firm's survey rather than neutral science. The numbers:
- 81% of organizations plan to increase early-career hiring over the next two years.
- 76% of talent acquisition leaders say entry-level jobs are not disappearing from their organizations.
- Nearly three-quarters expect entry-level work to change rather than disappear, and roughly half admit they do not yet know what the change will look like.
- Companies that outperform peers on revenue growth and profitability are the ones most likely to treat early-career talent as central to their 2030 plans.
Susan Major, Global Managing Director of Early Careers and Campus at AMS, put the employer side in one line: "Entry-level hiring is fundamental to the health of any organization. It is how you bring in new skills, fresh thinking and build the talent you are going to rely on in the future."
The firms making the most money, in other words, are the least interested in closing the junior door.
The pessimists have data tooPermalink to “The pessimists have data too”
This is a live argument, not a settled one, and the strong version of the pessimist case does not come from pundits. Anthropic's October 16 report is company-level data from an AI-native firm: junior technical hires down from 27 percent of new hires to 9 percent in eighteen months, junior share of the technical workforce down from 21 percent to 14 percent. Read the week before Korn Ferry's release, those numbers look like the whole trend. Read alongside it, they look like what an AI-native staffing model does.
Scale matters here. One company of a few thousand people optimizing for seniority is a data point. More than 500 employers across 13 countries and 14 industries saying they will hire more early-career people is a different kind of data point. AI-native firms hiring fewer juniors and the broader market still recruiting them are compatible facts.
One detail connects the two camps. Anthropic says its interview scorecards now weigh judgment more heavily. Korn Ferry says the junior job shifts toward judgment. The company cutting junior roles and the firms adding them are screening for the same skill. I covered the layoff-side version of this argument in Goldman's AI jobs forecast; the Class of 2030 survey is the hiring-side version.
What the new entry-level job looks likePermalink to “What the new entry-level job looks like”
The report's most useful section describes what juniors at leading organizations already do, and it is not grunt work with a chat window open. The routine-execution share of the job is shrinking. What grows:
- researching and synthesizing information with AI
- analyzing data
- testing AI-generated outputs
- automating workflows
- applying human judgment to AI-generated work
The old junior job paid you to produce the first draft. The new one pays you to catch what is wrong with the machine's draft. That is editorial and audit work wearing an entry-level badge, and it prices in something the old job never tested: knowing when the output is wrong.
Roughly half of employers admit they do not know yet how their entry-level roles will change. For candidates that is an opening rather than a threat. Nobody has finished writing the checklist, so proof that you can do the new work beats any credential tuned to the old work.
Why career changers should read this twicePermalink to “Why career changers should read this twice”
A rewritten entry-level job is good news for anyone switching fields, because the redefined work runs on the one asset career changers already hold: judgment from a previous domain. A former nurse moving into data has years of catching wrong numbers when the stakes were real. That transfers. The ability to grind through routine tickets faster does not.
My own switch, from sysadmin night shifts into HealthTech analytics, turned on the same trade. The hiring manager spent half the interview on the monitoring dashboards I had nearly left off my resume. What moved the conversation was not throughput on routine tasks; it was knowing which anomalies mattered and which could wait until morning. In 2026 terms, I had judgment and could prove it. The difference now is that the market prices that explicitly, in the job description and the scorecard.
If a move is on your list for 2027, plan for the new verbs on purpose: pick a target role, learn the AI workflow it already uses, and build one artifact that shows you can verify what the machine produces. Traecta: Your Personalized Career Roadmap sequences exactly that against the skills you already have. For the wider map of which roles AI compresses first, start with Will AI Replace Your Job? How to AI-Proof Your Career.
Three moves to make this quarterPermalink to “Three moves to make this quarter”
- Build the audit artifact. Take one real task in your target field, do it with AI, and write down every place the output was wrong and what you did about it. Half of employers cannot yet describe how the role is changing. This artifact answers the question they are still wording.
- Follow both data streams. Company reports like Anthropic's and bank forecasts like Goldman's tell you where AI-native employers are heading. Employer surveys like this one tell you where the broad market is. When they disagree, your target industry's job postings outrank both.
- Rehearse the judgment story. Interviews are drifting toward what Anthropic's scorecards already do: grading the calls you made under uncertainty. Prepare two stories about catching an error before it shipped, and skip the ones about volume. Then run an honest skills assessment to find which of the new verbs is your weakest.
Read the Class of 2030 numbers with the vendor discount applied and the direction still holds: 81 percent of employers plan more early-career hiring over the next two years, not less. Anthropic's 9 percent tells you what one AI-native company looks like today. The 81 percent tells you what everyone else plans for 2027 and 2028. If you are entering a new field, bet on the verbs: research with AI, test what it gives you, make the call. That is the exam now. Start the artifact this week.
