#ai-automation

#ai-automation

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.

Artificial intelligence and robotics could automate more than half of all work carried out in the United States - with existing technology - according to a new report from the McKinsey Global Institute. The research finds that 57% of US work hours could be automated today if organisations redesigned workflows around the capabilities of AI agents and robots. The analysis suggests that nearly half of American jobs sit within occupations facing significant disruption from automation.

For years, we filled our calendars, stayed visible, and kept the machine moving. Our worth was measured in hours, output, and presence. It had to be. Humans were the system, and the system required us to keep it running. We didn't question it because that was how things got done. AI has changed that. It can now do many of the things we once did to keep things moving: the summaries, the reports, the follow-ups, the updates, the spreadsheets.

Hundreds of thousands of workers-hailing from over 50 countries-are currently trapped within Southeast Asia's sprawling scam centers, according to estimates by the United Nations. But humanitarian experts think these workers may soon be replaced by artificial intelligence. In some scam centers, messages initiating contact between scammers and potential victims are already being crafted and sent by AI, says Ling Li, a researcher and co-author of Scam: Inside Southeast Asia's Cybercrime Compounds.

Early on, AI can make workers more productive - helping them do more, faster - which tends to lift wages before automation starts to replace some of those jobs.

Experian plc is a global data and technology company that operates across various sectors, including financial services, healthcare, and automotive, providing solutions like fraud prevention and digital marketing. In its latest earnings report for the first half of 2025, Experian reported strong financial performance, with a 12% increase in total revenue and a 14% rise in Benchmark EBIT from ongoing activities.

Blend's AI-powered Intelligent Quality Control product enhances loan quality control, helping QC analysts detect issues more efficiently. It applies digitized underwriting guidelines to loan data and documents and provides step-by-step validation and reasoning, enabling the QC analyst to focus on areas of high judgment. This ensures a comprehensive, accurate, and efficient pre-funding review process, reducing review times, mitigating risks and increasing profitability for lenders.

When asked what jobs would be lost to the technology, he singled out call center agents at customer support companies. "I'm confident that a lot of current customer support that happens over a phone or a computer, those people will lose their jobs, and that will be done better by an AI," said Altman, in conversation with ex-Fox News host Tucker Carlson.

Amazon could be implementing the largest job reduction at the company since 2023. As reported by Reuters on Monday, people familiar with the matter said that up to 30,000 corporate positions may be eliminated starting Tuesday. The job cuts are expected to affect various sectors, including human resources, devices and services, operations, and others. Amazon hasn't eliminated this many jobs since 27,000 were cut beginning in late 2022.

This operational burden intensifies as wealth management firms race to meet surging client demand for alternatives, with RIAs and family offices struggling to track hundreds of documents across dozens of portals while maintaining accurate performance reporting. Bridge has emerged as the first AI-native operating system designed specifically for private markets allocators, automating the entire workflow from document aggregation to performance analytics through proprietary technology that reduces operational overhead by 70% and generates reports 3x faster.

AI taking entry-level jobs is a 'when,' not an 'if.' But in venture capital, 70% of the decision is reading the founder and team-and that's something AI can't do. That simple breakdown , 70% people, 30% product-flips the usual narrative about finance. For decades, finance was defined by numbers. Analysts lived and died by the spreadsheets. Today, AI can run discounted cash flows, parse a term sheet, and size a market faster than any junior associate.