It's pretty unlikely a five year old today will be looking for a job. The need to work will go away. People will still work on the things they want to work on, not because they need to work.
An AI agent is simply a model that receives input, follows defined goals and rules, makes step-by-step decisions, and uses tools to take actions. Instead of viewing AI agents as autonomous digital workers, break it down. First principles thinking says this definition captures the essence of how AI agents function and operate within business workflows.
Dwelly operates an AI-enabled roll-up model, acquiring independent agencies and integrating them onto its technology platform. The UK residential rental market generates more than £100bn in annual rent roll and around £10bn in commissions, yet remains highly fragmented, with roughly 20,000 firms operating nationwide. The top 100 account for less than 30 per cent of the country's 5.5 million rental properties.
Our forward-deployed HR execs do all the work manually at first, and then they use that work to train the AI how to think in best practices. The idea, of course, is that over time, Comp's AI agents will become fully autonomous and capable of performing traditional HR functions.
The end user types in the information that needs to go into a contract via Box Doc Gen, which is then sent over to Legal for approval. Once approved, the contract is sent out automatically and signed using Box Sign. The signed contract is then uploaded to the cloud. Given that RWS Global has contracts with thousands of performers, the automation of the contract approval workflow saves many hours in terms of manual processing.
Job vacancies in Britain have fallen to their lowest level in five years, with graduate recruitment bearing the brunt as employers contend with higher payroll costs and the rapid adoption of artificial intelligence. Data from Adzuna show that advertised vacancies dropped to 694,940 in January, down 16 per cent year-on-year and 3 per cent compared with December. It is the first time since January 2021 that the number of vacancies has dipped below 700,000.
When I took my side hustle full-time, I needed a website and accidentally fell into the world of building with AI. After trying an old website builder and failing, I hired a designer and an engineer part-time to do it. They were a bit slow, so while I was waiting, I tried using a suggested AI tool to build my website.
In an effort to transform this portfolio, the agency is launching a challenge to gather ideas from industry on how to move these old systems to cloud-native architectures and reduce its technical debt. According to a Tuesday notice on Sam.gov, the agency is forgoing a traditional acquisition in favor of a challenge-based approach. The multi-phase competition will allow the FAA to watch vendors perform, not just pitch.
GitHub is readying a new feature to automate some of the most expensive work in DevOps: the invisible housekeeping no one wants to own. Developers would rather be building features than debugging flaky continuous integration (CI) pipelines, triaging low-quality issues, updating outdated documentation, or closing persistent gaps in test coverage. In order to help developers and enterprises manage the operational drag of maintaining repositories, GitHub is previewing Agentic Workflows, a new feature that uses AI to automate most routine tasks associated with repository hygiene.
White-collar workers are getting nervous, with good reason. Sure, 98 percent of college graduates who want a job still have one, and wages are ticking up. Sure, some companies that cite the labor-saving, efficiency-promoting effects of ChatGPT and Claude as they let employees go are just "AI washing" -talking about algorithms to distract from poor managerial decisions. But the labor market for office workers is beginning to shift.
Security, IT, and engineering teams today are under relentless pressure to accelerate outcomes, cut operational drag, and unlock the full potential of AI and automation. But simply investing in tools isn't enough. 88% of AI proofs-of-concept never make it to production, even though 70% of workers cite freeing time for high-value work as the primary AI automation motivation. Real impact comes from intelligent workflows that combine automation, AI-driven decisioning, and human ingenuity into seamless processes that work across teams and systems.
Siemiatkowski expects his workforce to decrease from 3,000 to fewer than 2,000 by 2030, but he doesn't foresee any layoffs, he recently said on the "20 VC" podcast hosted by venture capitalist Harry Stebbing. Rather, Klarna is relying on "natural attrition" of about 20% each year, he said, adding that employees spend an average of five years at the company before leaving.
If artificial intelligence eliminates millions of jobs, it might make sense to scrap income taxes for the vast majority of Americans and target capital instead, Vinod Khosla says. "AI will transform economies and need a rethink of capitalism & equity," the billionaire venture capitalist wrote in an X post on Monday. "Labor portion of economy (vs capital) will decline sharply. Should we eliminate preferential treatment of capital gains tax and equalize to ordinary income?"
AI Influencer Matt Shumer penned a viral blog on X about AI's potential to disrupt, and ultimately automate, almost all knowledge work that has racked up more than 55 million views in the past 24 hours.Shumer's 5,000-word essay certainly hit a nerve. Written in a breathless tone, the blog is constructed as a warning to friends and family about how their jobs are about to be radically upended. ( Fortune also ran an adapted version of Shumer's post as a commentary piece.)
There's a palpable tension in IT today. Teams are stretched to their limits with a growing backlog of initiatives, while executives expect IT to lead the charge on transforming an organization into an AI-driven one. And the numbers paint a somber picture. IT teams are drowning in work as digital transformation projects have not slowed down but rather accelerated. In fact, IT project requests in 2025 jumped 18% compared to the year prior,
If 2025 taught us anything, it's that AI is no longer just a side tool. It's the engine running campaigns and reshaping how people discover brands. At the same time, platforms have declared war on the "click." We're seeing an aggressive push for native conversions, where the goal isn't to drive traffic to the website but to close the deal right in the feed.
A small group of prominent tech companies had been handing money to each other for some time. The best summary was visual: Bloomberg clearly showed the circular flow of finances between Nvidia, AMD, Oracle, OpenAI, CoreWeave, and others. In the case of the Nvidia-OpenAI deal, the $100 billion investment would benefit new AI infrastructure, mostly filled with Nvidia hardware, which in turn would be paid for with that investment money.
For decades, tech companies have relied immensely on India's vast workforce, from entry-level call center jobs to software engineers and high-ranking managerial positions. But with the advent of advanced AI, which has been accompanied by employers greatly cutting back on hiring with the hopes of eventually automating tasks entirely, India's tech workers are having to cope with a vastly different reality in 2026.
A report by J.P. Morgan estimates that corporations can save billions of dollars a year by employing fewer people through automation. And, in fact, a 2025 study out of Stanford University has found that AI is already "beginning to have a significant and disproportionate impact on entry-level workers in the American labor market," with workers between the ages of 22 and 25 in the most AI-exposed occupations experiencing a 13 percent decline in employment.
The Shift Until now, MSSPs scaled by adding people. Each new client meant another analyst, another spreadsheet, another late-night ticket queue. AI automation flips that model. It handles assessments, benchmarking, and reporting in minutes - freeing your team to focus on strategy, not data entry. Early adopters are already seeing double-digit margin gains and faster onboarding cycles - without increasing headcount.
From greater flexibility to a sense of ownership and the hope of financial gain, solopreneurship feels like the new American dream. However, there's a hidden cost to that dream that has nothing to do with the unending hustle that comes with being both a business owner and that business's sole employee. It's the undeniable cost to the planet. In 2025, about 41 million businesses in the U.S. were run by a sole individual who is both its owner and only employee.
The weirdest thing of all in economics, says Brandeis University Economics Professor Benjamin Shiller, is that weirdness is closely tied to fate in the age of artificial intelligence (AI). The weirder you are, he tells Fortune, the better off you'll be. In his new book " AI Economics: How Technology Transforms Jobs, Markets, Life, and Our Future," Shiller, argues that the more bizarre your job, the less likely that AI will take it.
Software development used to be simpler, with fewer choices about which platforms and languages to learn. You were either a Java, .NET, or LAMP developer. You focused on AWS, Azure, or Google Cloud. Full-stack developers learned the intricacies of selected JavaScript frameworks, relational databases, and CI/CD tools. In the best of times, developers advanced their technology skills with their employer's funding and time to experiment. They attended conferences, took courses, and learned the low-code development platforms their employers invested in.
Anthropic is testing a new feature for Claude that would give the chatbot more agency when handling routine but time-consuming tasks, like creating a spreadsheet or synthesizing notes into a presentable first draft. Cowork, as the new feature is being called, is built atop Claude Code and designed to execute complex functions with minimal human prompting, all while keeping users updated on the steps it's taking.
AI is rapidly absorbing the routine work that once defined early career roles. Data entry, basic financial analysis, customer support triage, and even junior coding are increasingly automated.The result is a shrinking base of entry-level positions and rising expectations for those who remain. Graduates are being asked to demonstrate experience that they have fewer opportunities to acquire. This is not only a labor market shift. It is a leadership shift.
