AI will create more jobs than it destroys

I believe that AI will be a productivity boom for this country. [...] If the economy grows and GDP grows, which is what happens in productivity, you actually create more jobs or you don't lose jobs because you need more jobs for what's going on in the economy. [...] If we continu…

When a technology makes workers more productive, it makes their labor more valuable, not less, lowering costs, expanding what a firm can attempt, and creating demand for work nobody had imagined.

The doomsday case rests on a flawed arithmetic: If AI can do 40 percent of a job’s tasks, then 40 percent of the work must go. But a job is not a to-do list of separable chores. Firms employ people for bundles of work held together by judgment, coordination, client trust and acco…

AI creates value. Value creates growth. And growth creates demand for new kinds of work.

This is likely to be the net impact of AI. By reducing the cost of analysis, prediction, communication, coordination, and—increasingly in its agentic form—action, AI makes a wide range of services cheaper and more scalable. This will eventually increase demand, while also enablin…

While estimates of the full impact of AI on the workforce differ widely, our base estimate indicates that automation could reduce labor demand by the equivalent of roughly 36 million jobs, while growth in the AI value chain and the broader economy could generate demand for more t…

The labour data are in from America and a trend is becoming clearer: on balance AI is starting to create more jobs than it hoovers up.

Companies most able to use AI are seeing faster headcount growth than the least AI-exposed companies (52% vs 36%) and higher wage growth (24% vs 17%).

AI adoption has not yet resulted in widespread job loss but instead is associated with productivity gains and employment growth in high-exposure occupations.

Companies making significant investments in AI grew their workforces faster than comparable firms. The findings counter predictions that AI adoption will lead to broad job loss.

The 1,640 IT decision-makers Box surveyed for our 2026 State of AI in the Enterprise report reveal what’s actually happening: 58% expect their organization's total headcount to rise over the next three years. Of the most mature companies in terms of AI adoption, that number rises…

Despite concerns of AI-driven job losses, a new study from JLL finds that a majority of senior business leaders expect their workforces to grow (60%), not shrink (40%) – similarly, most expect AI to reinvent human roles (60%), rather than replace them (40%).

Ninety-four percent of HR leaders believe AI will generate new entry-level roles that do not yet exist. The opportunity to expand access to leadership development is genuine but only if organizations move forward with intention rather than assumption.

The workforce being built around the agentic enterprise will be larger, differently shaped, and concentrated around capabilities that did not exist on most org charts just a few years ago.

Our data shows AI is reshaping work at the task level, creating new job categories even as it changes others. Whether a Fortune 500 company or small local business, this is a critical time for employers to focus on upskilling today’s workers and preparing their organizations for …

Through our work on industrial AI, including the Global Alliance on AI for Industry and Manufacturing, AIM Global in short, and our global network of Centers of Excellency, we help translate the promise of AI into practical solutions that create jobs, strengthen industries, and b…

Complex AI-augmented work is driving higher earnings and new roles.

The first thing that AI is doing right now is creating an enormous number of jobs.

AI is producing more jobs now than it’s killing, and that’s true of any major technological change.

Will A.I. disrupt the labor market? Absolutely. The United States has a long track record of creating new jobs in response to disruption, from the electrification of the 1900s to the digital revolution of the 1990s.

Other technological disruptions, while displacing jobs, have ultimately led to more jobs through elasticity of demand.

Technology doesn’t kill jobs. It kills professions. Every technological revolution destroys certain professions but creates entirely new ones. We tend to focus on what’s being destroyed rather than what’s being created.

Lors des révolutions technologiques précédentes, les emplois créés par la nouvelle technologie ont compensé ceux qui ont disparu, et le contenu des professions s'est transformé en profondeur.

One camp sees a “job apocalypse” and mass unemployment ahead; the other sees a great leap forward for society. Put me in the second camp — with a few caveats.

Because of the benefits and efficiencies of Agentforce, we’ve seen the number of support cases we handle decline and we no longer need to actively backfill support engineer roles.

The adoption and deployment of AI technologies across our operations have resulted, and may continue to result, in reductions to our workforce.

Businesses that report using AI to improve business operations are more likely to report reductions in workforce headcount than those using AI for other purposes.

Productivity can just as easily mean businesses doing the same work with fewer people.

engineers use AI to ship in days what used to take a team weeks.

Rapid advancements in artificial intelligence enable our teams to reduce repetitive work, increase velocity, and better support our community, partners, and advertisers.

There will be some new jobs, but without the right policies there will be far fewer than exist today.

AI is likely to lift productivity across the board but could have a severe disruptive effect on employment, worsening the employment growth problem and resulting in a detrimental effect on social stability.

And AI will destroy millions of jobs and decimate the middle class.

AI's employment impact has turned modestly negative, reversing the more positive picture in 2025. In contrast, the latest S&P Global Purchasing Managers' Index survey shows a global net impact of -5 percentage points over the past 12 months, with a further -2 points net impact fo…

Competition between AI providers increases the speed of labor displacement if it is intense.

Of course AI will destroy more jobs than it creates, that's progress.

In the long run, it may just be both instead of one or the other: both forces that are making it harder and harder for people to get jobs initially and also ramp up in their career going forward.

Firms are hiring fewer junior workers because AI now handles the routine work that once trained future experts, quietly draining the pipeline that produces senior judgment.

This generation of capable workers is being squeezed out right when companies will need them most.

Remove the entry point, and a company may look more efficient for a few quarters, but its talent is at risk of becoming frozen at precisely the moment it needs to evolve fastest.

Companies should automate repetitive tasks, not the learning environment.

AI is therefore replacing existing workers, while simultaneously shutting them out from moving to other industries.

Good AI needs to complement humans, and this requires a redirection, because the current focus on AGI is, in all but name, an agenda for displacing humans from meaningful work.

Without these investments, AI risks widening inequality, displacing workers and shifting wealth from labour to capital rather than creating sustainable good jobs – those with fair compensation, worker autonomy and a reliable path to social dignity.

The only meaningful guardrails around workplace AI are happening at the bargaining table, where workers are showing up and demanding protections.

My Lords, I am concerned about the adverse effect that AI is having on employment in the creative sector.

But from me, from my version, definitely from the communities which we are coming from, the employment is often taken away because of AI from our people, which is a reality.

We also need the Government to introduce a raft of measures to manage AI-driven changes to work. Those measures should include an employment levy on companies that replace large numbers of workers with AI, training subsidies for displaced workers, redeployment programmes to move …

Do artificial intelligence tools such as ChatGPT eliminate jobs, create new ones, or both? There’s a lot of speculation regarding this question, but little solid data in the U.S. to answer it.

But credible experts disagree about AI’s economic impact.

The first thing to say is that the capabilities of AI are rising faster than expected, and the evidence on how that is translating into fundamental changes in labour-market demand, in employer behaviour, in productivity, is actually quite limited and contradictory.

But of course, new jobs and new tasks are also going to be created. And that balance between the jobs going away and new jobs being created, we really don't know.

Representative Foushee's AI Workforce Impact Study Act of 2026 is an important step toward understanding how AI is reshaping work and America's economy. Our data on AI's effects is fragmented and incomplete but this bill will help ensure that future decisions are based on the fac…

Workers should not have to guess how artificial intelligence is affecting their jobs or their futures. As I outlined in my report last year on AI's impact on American jobs, Congress needs reliable data to better understand these changes. We need to know where jobs are being lost,…

Increasing use of information technology (IT), including artificial intelligence (AI), will boost demand for workers in some occupations over the 2024–34 decade, while other occupations may see their numbers decrease.

Artificial Intelligence (AI) is having a profound impact on the UK economy and labour market, but the speed of adoption and exactly how it will affect employment is still uncertain. AI is likely to automate or augment aspects of many occupations, changing task composition and pro…

What’s missing at this inflection point is a framework that gets us beyond narrow debates or silver-bullet thinking, recognizing that AI’s impacts will be unevenly felt across industries, types of workers, and regions.

I think both outcomes are likely to occur depending on the industry.

The report does not conclude that AI will lead to mass unemployment. The evidence is more nuanced. Labor market effects are better understood through tasks, new work creation, and job quality.

AI is not replacing cybersecurity professionals; it is changing what the profession requires of them. As AI takes on more repetitive tasks, as well as performing some complex cybersecurity analysis at speed and scale, cybersecurity roles are shifting toward higher-value work, fro…

Labour market economists have long demonstrated that the amount of work in the economy is not fixed, and that labour market adjustments can create more jobs. Yet this ‘lump of labour fallacy’ is still applied to debates about technological innovation. We agree that AI may produce…

Harnessing the benefits of GenAI requires more than access to technology. Productivity gains depend on investments in human capital and social protection. Ultimately, future labour market outcomes will depend less on exposure alone than on the policy choices to build the prepared…

In the future, it is true that there is a scenario in which there is mass unemployment. But it is also true that when there have been huge upheavals previously, labour markets have adapted, albeit over time, and sometimes it is that gap that makes the difference.

AI is raising the floor for everyone, but it is human ingenuity that will vault the ceiling. That is why access matters. The next generation already has the curiosity, creativity, and ambition to solve real problems. What too many young people still lack are the professional tool…

I believe AI will create new jobs and industries over time, but the transition could be disruptive, and it’s already underway.