#ai-automation

#ai-automation

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.)

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.

According to a new Morgan Stanley analysis reported by the Financial Times, more than 200,000 European banking jobs could vanish by 2030 as lenders lean into AI and shutter physical branches. That's roughly 10% of the workforce at 35 major banks. The bloodletting will hit hardest in back-office operations, risk management, and compliance, the unglamorous guts of banking where algorithms are believed capable of tearing through spreadsheets faster and more effectively than humans.

For us, the biggest bang for the buck and the biggest ongoing opportunity has been around using AI to automate what I sort of think of as moments in our production process, whether that's escrow or title. I call them moments just because they're little tasks, they're big tasks, they're processes. But these opportunities abound in a title and escrow production operation.

Rehmat Alam operates from the mountains of northern Pakistan, according to one of his online profiles. There, he flaunts his talent for harvesting LinkedIn data and advises YouTube viewers how to earn money off the internet. His company, ProAPIs, allegedly boasted in marketing materials that its software can handle hundreds of requests per second to scrape profiles, selling the underlying data for thousands of dollars a month.

We're not talking about models. We're not talking about things that are commoditized,

The conversation about AI in the workplace has been dominated by the simplistic narrative that machines will inevitably replace humans. But the organizations achieving real results with AI have moved past this framing entirely. They understand that the most valuable AI implementations are not about replacement but collaboration. The relationship between workers and AI systems is evolving through distinct stages, each with its own characteristics, opportunities, and risks. Understanding where your organization sits on this spectrum-and where it's headed-is essential for capturing AI's potential while avoiding its pitfalls.

The system's software reviews each budget line and compares costs for similar projects in the specified geographic area. While this process can be done manually, automating it can save time and help builders obtain necessary construction finance draws faster, Sitewire CEO Bryan Kester tells The Builder's Daily/HousingWire. It saves you having to go to a GC, ask for a construction bid or estimate, and then just hope that it's correct. It's the opposite process. You would put it into our system, hit a button, and we'll tell you within 15 minutes

America's $1.6T construction industry faces a critical infrastructure crisis: while housing starts reached 1.43M units in mid-2025, 77% of developers report permitting delays, with cities like San Francisco averaging 33 months just to secure approval. This pre-construction bottleneck has compounded a 4.7M housing unit shortage, pushing median home prices up $88K since 2020 while construction timelines stretch beyond 300 days from permit to final inspection in many markets.

What if your workday could be smarter, faster, and more secure, all thanks to the tools you already use? With the latest updates to Microsoft 365, unveiled alongside key announcements at the Ignite conference, that vision is closer than ever. From AI-driven innovations that automate tedious tasks to security enhancements designed to protect sensitive data, Microsoft is redefining how we collaborate and stay productive in an increasingly hybrid world.

The "iceberg" analogy highlights the difference between visible and hidden AI impacts: The Tip (Surface Index): This represents the visible impact, such as layoffs and role shifts in the tech sector, which accounts for about 2.2% of wage exposure. The Hidden Mass (Iceberg Index): This represents the much larger potential for disruption in routine administrative, financial, and professional service roles (11.7% of wage value) that are often overlooked in traditional forecasts.