AI will create more jobs than it destroys

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…

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…

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

People talk about AI reducing jobs — complete nonsense. It’s causing more software engineers to be hired, and the reason for that is very simple. [...] If you can hire a software engineer and you could generate $9 trillion worth of productive work, why wouldn’t you want to hire m…

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 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%).

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.

Our research shows that firms that invest more in AI also hire more following adoption, including in entry-level roles. These are early results that we will update over time, but should provide some confidence to the public about the potential gains of this technology.

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.

Virtually every major technology wave in history has ultimately created more opportunities than it destroyed. The internet gave rise to roles that simply didn’t exist in 1995. AI is doing the same thing right now. New roles like AI trainers, agent specialists, AI security experts…

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 …

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.

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

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.

Most new jobs, in fact, will be things that very few individuals can think of in advance. But the market with wages and prices iterates with its own algorithms and solves that problem, creates new jobs.

The creation of Excel did not put accountants out of work. It actually further increased the demand for accountants. And I think the same is going to be true for AI.

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.

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.

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.

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

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

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

Companies are already laying off workers citing AI, so we must understand how American workers are at risk.

The financing for new models is coming from investors, and those investors are making a bet that the AI they're funding will be so good that employers can fire half their workers and replace them with AI, with the proceeds split between AI companies' customers, and the AI compani…

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

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 …

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.

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

As AI takes over their current work, most workers will probably get poorer or have to take additional jobs to maintain their current pay. [...] AI will make most of us poorer and a few fabulously wealthy — unless its productivity gains are allocated fairly.

Automation is rapidly dissolving jobs, threatening to turn years of sacrifice into obsolete skills.

AI will create new jobs, and for a short and fortunate grace period it really will look like it is creating more than it destroys. The danger lies in believing that window will stay open. It will not.

AI and humanoid robots break that logic because they are general-purpose. Yes, the disruption will create new jobs. The problem is that AI and robots will be able to do those new jobs too.

So AI will create new jobs, and for a short and fortunate grace period it really will look like it is creating more than it destroys.

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

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.

There is no evidence to date of broad AI-driven labour-market upheaval in Australia. Overall labour market conditions remain strong by historical standards, youth outcomes have mostly held up, and occupational reshuffling has not accelerated. However, occupations more exposed to …

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.

First, on unemployment, half of all UK workers feel that they will lose their job to AI. From what I can see, there is very mixed evidence about that so far, beyond the field of software development.

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…

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,…

We need to think a lot harder about what jobs are, how they will evolve, and that will help us give advice to people about labor-market trends rather than being optimistic or pessimistic.

AI has the potential to enhance job roles and the performance of each of us at work, but it is necessary and reasonable, as my hon. Friend the Member for Poole pointed out, to distinguish the jobs that are most at risk—those least likely to be enhanced and most likely to be repla…