The AI-powered tool enables MLSs to automatically identify potential risks tied to buyer agent compensation language in submitted documents. The solution automatically scans submitted PDFs for typed or handwritten references to commission or compensation and then categorizes those references into high, medium or low risk levels. Oregon's Regional MLS (RMLS) is one of the first to adopt the tool, making it available to its roughly 14,000 subscribers.
In an age when artificial intelligence (AI) has become the secular religion of virtually every industry discussion, the stark contrast in reactions to its rise is striking. Entrepreneurs around me, from finance to retail, rush eagerly toward AI, chasing better client experiences and smoother operations. Yet the art world continues to treat AI with suspicion, viewing it more as an existential threat than as a potent economic ally, a troubling stance for a market that, over the past two years, has faced multiple macroeconomic shocks.
AI is changing that. Over the next five years, we'll see a shift from massive studios to small, focused teams capable of delivering high-quality results faster, cheaper, and with greater creative control. This evolution isn't just about cutting costs; it's about redesigning the entire pipeline to make better decisions sooner, iterate faster, and invest more deeply in the work that audiences actually notice.
Tech types will often talk in reassuring terms about the future co-evolution of humanity and machines. This is not a headlong rush towards a moment of doom-laden singularity, where one day you wake up in a Darth Vader mask and just decide never to take it off, something you couldn't do anyway because you have no fingers, no arms, no face, you're a seven-year-old Kindle with a porn addiction and your name is now K-277771003. This isn't going to happen.
For decades, the mortgage industry has relied on automation to reduce errors, standardize workflows, and cut loan turn times. Now, AI is enhancing those systems with real-time data interpretation, predictive modeling, and intelligent decision support. For the first time, we're seeing AI extend far beyond basic productivity tools. Lenders are using it to improve lead scoring, accelerate underwriting, enhance fraud detection, and even support post-close analysis.
How many times have you read that marketing is dead in the last year? How often have you come across articles with headlines such as 'AI will replace all specialists by 2030'? And how many of your friends have sent you links to neural networks that 'write better than any copywriter' with a triumphant smirk? If you're a marketer, this is an especially painful experience. After all, it is our profession that regularly takes centre stage in these technological obituaries.
Not all AI tools are created equal. Some excel at thoughtful, human-like conversations. Others at digging up real-time information in seconds. But when choosing between Anthropic's Claude and Perplexity's AI search engine, you're not just comparing features, you're deciding how to work smarter. Do you need an AI assistant that thinks before it speaks? Or one that gets straight to the facts, speedily, and with its sources cited? The difference isn't subtle, and the impact on your daily workflow can be game-changing.
Google Cloud is enhancing security with AI by creating a new integrated security operations center (SOC) that automates workflows for alert triage, investigation, and response.
The beauty of the Echo Show is that it doesn't require constant tinkering. It pulls directly from the tools we already use - our calendars, our smart devices, our photo albums - and puts them all in one visible place.
Last year saw more than 150,000 job cuts across 549 companies, according to independent layoffs tracker Layoffs.fyi. So far this year, more than 22,000 workers have been the victim of reductions across the tech industry.
As London businesses grow, the need to balance expansion with financial discipline becomes more pressing. Managing costs effectively is not about reducing spending at all costs but about directing resources where they will generate the best return.
The telecoms company has rolled out software that allows it to send tailored deals and offers to customers based on their history and interactions with the company.
Jobs and Skills Australia's report indicates that generative AI will significantly automate routine clerical jobs while enhancing roles requiring high skill levels.
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