This is a genuinely contested question among economists, and the honest answer is: it depends on the timeframe, the sector, and how societies choose to respond — there's no settled consensus. Let me share the main perspectives rather than search for breaking news, since this is more of an ongoing debate than a factual question with a clear current answer.
The case for "AI takes away more jobs" (net displacement)
•Routine and predictable tasks are most at risk: Data entry, basic customer service, simple analysis, and some coding/writing tasks can increasingly be automated.
•Speed of change matters: Unlike the industrial revolution (which unfolded over generations), AI capabilities are advancing fast enough that retraining and economic adjustment may lag behind job losses.
•White-collar work is now exposed: Unlike past automation waves that mostly hit manual/factory labor, AI threatens knowledge work too (legal research, junior programming, translation, graphic design).
The case for "AI creates more jobs" (net creation)
•Historical pattern: Every major technology (the printing press, automobiles, computers, the internet) eliminated specific jobs but created more new ones than it destroyed — often jobs that didn't exist before.
•New categories of work emerge: AI prompt engineering, AI ethics/safety roles, data curation, human-AI collaboration management, and oversight roles are growing.
•Productivity gains can expand demand: When AI makes a service cheaper/faster, demand sometimes rises enough to need more (not fewer) human workers — this already happened with ATMs and bank tellers.
•Augmentation vs. replacement: Many economists argue AI will act more like a tool that makes workers more productive (like a calculator or spreadsheet) rather than a full replacement across most jobs.
Why experts disagree
•It's not one technology — AI's impact varies wildly by task (translation vs. surgery vs. truck driving vs. therapy).
•Policy and business choices matter as much as the technology itself — the same AI capability can be deployed to replace workers or to empower them, depending on company incentives and regulation.
•Short-term vs. long-term dynamics differ — there could be painful short-term displacement in specific sectors even if, over decades, new industries emerge (similar to how farming employment collapsed while manufacturing and services grew).
The most likely realistic outcome
Most mainstream economic analyses (from groups like McKinsey, the World Economic Forum, and OECD) suggest a "churn" scenario: a significant number of jobs will be displaced or transformed, while a roughly comparable or greater number of new jobs will be created — but the overlap between who loses old jobs and who gets new ones is imperfect. This means aggregate employment may hold up reasonably well, while specific individuals and communities face real disruption and need support (retraining, safety nets, education reform) to transition.
If you want, I can look into current data and 2025-2026 reports (WEF Future of Jobs, recent labor statistics) to see what the latest numbers suggest about net effect so far — would that be helpful?