Smart people disagree about the AI jobs apocalypse, and even the prophets of economic doom – Dario Amodei and Sam Altman – have backed off their predictions.
But the best explanation for why AI isn’t destroying jobs across the economy comes, perhaps unexpectedly, from a Dutch software company that sells its products to law firms. It also explains why the hiring struggle in the entry-level market is painfully real.
Wolters Kluwer is a 183-year-old Dutch information services company that sells AI-powered software to law firms. In an article published earlier this month, the company cited two economic concepts: the “Lump of Labor Fallacy” and the Jevons Paradox.
The “Lump-work fallacy” was coined by English economist David Frederick Schloss in 1891 when he noted that many workers and employers believed that there was a fixed amount of work in an economy. This has been seen everywhere in the last four years, even with AI greats like Amodei and Altman, who warned that when AI eliminates a category of tasks, the workers who performed those tasks will simply be pushed out and have nowhere to go.
Wolters Kluwer alluded to the fallacy by noting that AI gives lawyers more time for strategy, advice and judgment-driven work, but this does not result in smaller legal teams.
“Legal teams are increasingly looking for young professionals who have AI training and are ready to work with these tools,” it said. “You need people who can validate AI outputs, manage workflows and apply their expertise to the outputs rather than the inputs.”
The Jevon’s paradox is an even older part of economic language. The term was coined by English economist William Stanley Jevons in 1865 and is regularly used by Apollo Torsten Slok, chief economist at Global Management, argues that AI will create more jobs, not fewer. Amodei even referenced it himself in May when he backed away from his own AI jobpocalypse claims.
This paradox applies when a resource is cheaper or more efficient to use and overall consumption tends to increase rather than decrease. When steam engines became more economical in the 19th century, coal consumption did not decrease – it multiplied because cheaper engines appeared everywhere.
Applied to legal work, Wolters Kluwer said AI that reduces the cost of research and document review does not reduce demand for legal services, but rather expands the universe of what clients expect from law firms. Efficiency creates appetite, not excess.
“Efficiency gains from AI are more likely to increase expectations of the work one can do than reduce demand,” the company argued, calling AI a “task machine, not a job machine.”
Wolters Kluwer added that AI is “very good at completing individual workflows, but lacks the judgment required to perform an end-to-end task the way a human would,” citing internal research that found AI delivered professional results on individual tasks about 50% to 60% of the time in various roles. However, when tasked with completing a complete project end-to-end, the success rate drops to around 2%.
This fits perfectly with the pattern of a job market where entry-level workers doing one job at a time struggle to get hired, and the rest of the AI jobpocalypse just doesn’t really show up in the data.
The question the webinar doesn’t ask
The The job market for young professionals is worse than it has been in 37 years. Entry-level positions in professional services have declined 29% since January 2024. Financial and information services — the industries that historically provided entry to the most college graduates — have shed an average of 9,000 jobs per month since 2023, compared to an increase of 44,000 per month before the pandemic. A Stanford study found that workers ages 22 to 25 in highly AI-exposed jobs experienced a 13% decline in employment since 2022. Before backtracking, Amodei warned that AI could eliminate about half of all entry-level white-collar jobs within five years.
Generation Z doesn’t struggle because of bad attitudes or unrealistic expectations. The first step of the career ladder is structurally disappearing. And the Wolters-Kluwer framework explains why – although it doesn’t say so.
The document presents the impact of AI as a pyramid: AI performs tasks at the base, while humans retain their judgment at the top. It says legal teams grow by hiring professionals who can validate AI results and focus on higher-value strategic work. It also describes a profession that has decoupled entry-level hiring from its own growth.
Law firms don’t need fewer experienced lawyers—they need more of them with better leverage, doing more sophisticated work for more sophisticated clients. While Wolters Kluwer expects demand to increase, he doesn’t examine exactly where on the value spectrum this is occurring. It has been spread across an industry over a decade and describes a profession that has stopped training its own successors.
PwC calls this “Seniorization“, based on an analysis of more than 1 billion job postings. The Big 4 companies AI job barometer 2026 found that entry-level positions in highly AI-exposed occupations were seven times more likely to require skills that were historically used later in a worker’s career. These are skills such as strategic decision making, stakeholder management, leadership and judgment.
This is not a new pattern. It is the oldest pattern in economic history.
The medieval plow dramatically increased agricultural production across Europe. The farmers did not benefit – the surplus went to building cathedrals. The spinning mill automated textile production and led to longer working hours and lower wages for the workers it was supposed to free. The Internet created more wealth than any other technology in modern history, concentrating it in a small number of platform companies while giving rise to job roles, delivery routes, and content moderation queues for most workers.
The question has never been whether technology creates wealth. It always depends on who captures it and under what political and institutional conditions productivity is widely distributed.