The World Economic Forum (WEF) report "Four Futures for Jobs in the New Economy: AI and Talent in 2030," published on January 7 local time, does not count how many jobs AI will eliminate. Instead, it sets out two axes, the speed of AI advances and the readiness of people and institutions to adapt, and draws four forks in the road for 2030. They are ultra-fast advancement, the age of substitution, the copilot economy and stalled advancement. Taken together with the tally of 2025 tech industry layoffs released the same week and domestic youth employment indicators, the shock is showing up at the entrance to careers before the total number of jobs falls.
In the report's survey, about 54% of executives answered that AI would replace or eliminate existing jobs. By comparison, only 24% saw AI creating new jobs. The share answering that the gains would be concentrated in particular companies was also 24%, and the share seeing wages rise thanks to AI was 12%. Those answering that corporate profits would grow came to 44.6% (sometimes given as about 45%), leaving a gap of nearly four times between the profit outlook and the wage outlook.
Adoption itself is closer to routine. The share of companies using at least one form of AI rose from 55% in 2022 to 88% in 2025, and job postings requiring the ability to use AI grew 70% in a year according to a LinkedIn survey. Here "the ability to use" does not mean the skill of building models.
It refers to knowing how to attach it to the work. When the requirements change, the first to be shaken are applicants with no career record to prove.
The picture differs considerably by scenario. Under "ultra-fast advancement," the share of tasks handled by machines climbs quickly from 22% in 2025, and AI-related investment from 2025-2030 exceeds 1.3 trillion dollars. Under "the age of substitution," more than half of all tasks pass to machines and some fields are automated up to 90%, and the consumer confidence index falls below its historic low of 44.
The second of these is what the WEF warned about most. The premise of "the copilot economy" varies from account to account, so whether it is a case of human adaptation catching up with the technology or of the technology itself slowing down is not settled into one.
The domestic indicators are narrower and sharper. In the report "The Impact of AI Diffusion on Youth Jobs," released by the Bank of Korea on October 30 last year, 208,000, or 98.6%, of the 211,000 youth jobs lost over the past three years were analyzed as falling within the reach of AI advances. In the third quarter of 2019 the youth employment rate was 41.8%, above the 39.8% for older workers, but the employment rate gap between the two generations has since widened to the largest on record. The asset gap also expanded 42% over the past five years.
The routes people have taken make the change tangible. In Eduwill's tally, new sign-ups for Grade 9 civil service courses in the fourth quarter of 2025 rose 26% from the same period a year earlier. The government said it would bring starting pay for Grade 9 to about 3 million won a month before tax, but the date of application was reported only as "next year," with no specific year or implementation plan given. The situation in which a considerable number of those who passed the 2025 certified public accountant exam failed to find a training post lies in the same context.
Search records on the side of everyday jobs show another cross-section. In the 2025 search term review released by Byeoruksijang (벼룩시장) on January 8, "kitchen assistant" ranked first for the fifth year in a row, "production work" rose 37% to second, and "care worker" surged 411% to seventh. "Side job" rose 69%, jumping from 23rd to ninth, and "security guard" also increased 53%. What remains in the same year's records is at least the fact that searches for physical work and for a second source of income rose together while the entry route to white-collar work narrowed.
Tech industry layoffs over 2025 were tallied at more than 240,000. Alan Cohen, an analyst at RationalFX, said he does not see this as short-term cost cutting. The share of these layoffs that gave AI as a direct reason has not been disclosed, so it is early to be certain about causation. The "no-regret strategy" that the WEF recommended in common across all four scenarios is likewise not known down to its details.
The point at which technology changes a person's day lies not in the meeting room but on the first day at work. When the odd jobs once handed to new hires to teach them the work are automated, the company saves costs, but that person loses the passage for starting a career. Whether the one line "AI proficiency" attached to a job posting is a barrier to entry or a ladder depends on how companies train entry-level workers. Which of the four paths of 2030 is taken will first become visible in where the people writing their first resume this year end up sitting.
