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Journalist Ira Glass, who hosts the NPR show This American Life, is not a computer scientist. He doesnt work at Google, Apple, or Nvidia. But he does have a great ear for useful phrases, and in 2024, he organized an entire episode around one that might resonate with anyone who feels blindsided by the pace of AI development: Unprepared for what has already happened. Coined by science journalist Alex Steffen, the phrase captures the unsettling feeling that the experience and expertise youve built up may now be obsoleteor, at least, a lot less valuable than it once was. Whenever I lead workshops in law firms, government agencies, or nonprofit organizations, I hear that same concern. Highly educated, accomplished professionals worry whether there will be a place for them in an economy where generative AI can quicklyand relatively cheaplycomplete a growing list of tasks that an extremely large number of people currently get paid to do. Seeing a future that doesnt include you In technology reporter Cade Metzs 2022 book, Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World, he describes the panic that washed over a veteran researcher at Microsoft named Chris Brockett when Brockett first encountered an artificial intelligence program that could essentially perform everything hed spent decades learning how to master. Overcome by the thought that a piece of software had now made his entire skill set and knowledge base irrelevant, Brockett was actually rushed to the hospital because he thought he was having a heart attack. My 52-year-old body had one of those moments when I saw a future where I wasnt involved, he later told Metz. In his 2018 book, Life 3.0: Being Human in the Age of Artificial Intelligence, MIT physicist Max Tegmark expresses a similar anxiety. As technology keeps improving, will the rise of AI eventually eclipse those abilities that provide my current sense of self-worth and value on the job market? The answer to that question, unnervingly, can often feel outside of our individual control. Were seeing more AI-related products and advancements in a single day than we saw in a single year a decade ago, a Silicon Valley product manager told a reporter for Vanity Fair back in 2023. Things have only accelerated since then. Even Dario Amodeithe co-founder and CEO of Anthropic, the company that created the popular chatbot Claudehas been shaken by the increasing power of AI tools. I think of all the times when I wrote code, he said in an interview on the tech podcast Hard Fork. Its like a part of my identity that Im good at this. And then Im like, oh, my god, theres going to be these (AI) systems that [can perform a lot better than I can]. The irony that these fears live inside the brain of someone who leads one of the most important AI companies in the world is not lost on Amodei. Even as the one whos building these systems, he added, even as one of the ones who benefits most from (them), theres still something a bit threatening about (them). Autor and agency Yet as the labor economist David Autor has argued, we all have more agency over the future than we might think. In 2024, Autor was interviewed by Bloomberg News soon after publishing a research paper titled Applying AI to Rebuild Middle-Class Jobs. The paper explores the idea that AI, if managed well, might be able to help a larger set of people perform the kind of higher-valueand higher-payingdecision-making tasks currently arrogated to elite experts like doctors, lawyers, coders and educators. This shift, Autor suggests, would improve the quality of jobs for workers without college degrees, moderate earnings inequality, andakin to what the Industrial Revolution did for consumer goodslower the cost of key services such as healthcare, education and legal expertise. Its an interesting, hopeful argument, and Autor, who has spent decades studying the effects of automation and computerization on the workforce, has the intellectual heft to explain it without coming across as Pollyannish. But what I found most heartening about the interview was Autors response to a question about a type of AI doomerism that believes that widespread economic displacement is inevitable and theres nothing we can do to stop it. The future should not be treated as a forecasting or prediction exercise, he said. It should be treated as a design problembecause the future is not (something) where we just wait and see what happens. We have enormous control over the future in which we live, and [the quality of that future] depends on the investments and structures that we create today. At the starting line I try to emphasize Autors point about the future being more of a design problem than a prediction exercise in all the AI courses and workshops I teach to law students and lawyers, many of whom fret over their own job prospects. The nice thing about the current AI moment, I tell them, is that there is still time for deliberate action. Although the first scientific paper on neural networks was published all the way back in 1943, were still very much in the early stages of so-called generative AI. No student or employee is hopelessly behind. Nor is anyone commandingly ahead. Instead, each of us is in an enviable spot: right at the starting line. Patrick Barry is a clinical assistant professor of law and director of Digital Academic Initiatives at the University of Michigan. This article is republished from The Conversation under a Creative Commons license. Read the original article.
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A startup called Adapt is betting that it can be an AI hub connecting other software tools to help answer questions and get things done. When users pose questions or ask for help with a business task, Adapt can answer based on information from the web and business data to which its been given access, similar to other AI tools. But it can also automatically launch a virtual machine, essentially a computer in the cloud from which it can connect to a wide range of internet-based software, pull information from databases, and craft custom code to analyze data and create charts and visualizations. Its an approach that cofounder and CEO Jim Benton says lets users with minimal coding experience work with data from a wide variety of sources, from customer-relationship management software to email programs, without needing to involve engineers or download and manipulate cumbersome datasets on their own computers. Adapts AI can provide detailed information about everything from sales trends to marketing spending based on live access to relevant data, and it can freely merge and compare data from multiple cloud-based business software products in ways that the AI increasingly built into those individual products often cant, says Benton. The challenge that we see in the market right now is that people have all sorts of different, fragmented tools in their company, Benton says. So if you want to understand the business, you are trying to stitch together all these different pieces. Adapt ships with built-in integrations with a variety of common software, and it can generate the SQL code needed to pull information from database systems. And it can also write code to connect to less common tools and custom software if its provided with API documentation and the right credentials. That means that to answer a question about, say, customer churn, the AI might pull numbers and written notes from a CRM, a credit card processor, and a customer support ticketing system, merging and processing all that data without the need for human coding expertise. [Screenshot: Adapt] Once it accesses and analyzes the relevant data, it can provide quick answers through chat or Slack, generate charts and slideshows, andunlike some competing AI toolspush updated information to external cloud systems. One of the most incredible things about Adapt is giving it permission to write data, which I never thought I would be okay with an AI getting, says Jonathan Nahin, founder of corporate gift-giving platform RevSend. [Screenshot: Adapt] Nahin says RevSend uses Adapt for tasks like crunching sales numbers and validating that custom gifts that its customers commission match their design requirements. But RevSend also uses the tool to update its sales contact databases, merging in information like contact locations from other data sources. Thats a pain to do manually and even to automate with other tools, Nahin says, but easy to explain verbally to the Adapt AI, which can set up a suitable process and run it on a regular schedule. Tech-savvy users can also review Adapt-generated code before relying on it for important figures or database updates, and users can ask the AI to make tweaks to its processes as needed, Benton says. You can go through the code and see exactly what the query was, says Benton. [Screenshot: Adapt] Other companies have also recently announced AI tools that can help with work tasks and data analysis, like Anthropics Claude Cowork and Slacks recently upgraded Slackbot. But Benton says he believes that San Francisco-based Adaptwhich just announced a $10 million seed round, on top of a $3 million pre-seed round announced in Augusthas an edge through its ease of integration with other software and its virtual machine approach, which doesnt require users to locally run its software or data. The company initially onboarded new customers individually, aiding with integration, and recently added self-service options. Unlike some other AI tools, Adapt doesnt charge a monthly per-user fee, instead charging based on usage. Charges cover the cost of connecting to a variety of AI models, with Adapt routing different queries to different models based on their expertise, and computation by the virtual machines. Businesses can set up spending alerts and thresholds to avoid surprise charges, says Benton. And Adapt, which calls itself the AI computer for business, works with customers to help ensure they get a good return on their spending, often by letting humans focus on work other than data manipulation. I think you’re just going to find that there’s more time for the humans to tackle the real work nd the real value than stitching together and chasing down the metrics, Benton says.
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Want more housing market stories from Lance Lamberts ResiClub in your inbox? Subscribe to the ResiClub newsletter. In the second half of 2025, there was a notable jump in delistings, as some home sellersparticularly in the Sun Beltwho couldnt get their desired price decided to pull their homes off the market. Indeed, U.S. delistings as a share of inventory ticked up to 5.5% in fall 2025a decade-high reading for that time of year. In December 2025, ResiClub noted to readers: Looking ahead, in markets seeing the biggest jumps in delistings right now, many of those listings will likely return to the resale market in spring 2026or test out the rental market. Fast-forward to January 2026, and we are indeed seeing an upswing in relistings, according to Compass chief economist Mike Simonsens analysis of Altos Research data. A relisted property is a home that was previously listed for sale, taken off the market (expired, withdrawn, or canceled), and then later put back on the market. Relistings as a share of single-family housing inventory for sale: January 24, 2025 > 10.1% January 23, 2026 > 11.0% Total relistings: January 24, 2025 > 64,410 January 23, 2026 > 76,426 What housing markets are most likely to see the biggest upswing in relistings over the coming months? The answer, of course, is the markets that saw the most delistings last fall. Last fall, Midwestern marketswhich, relatively speaking, remain on the tighter sidesaw the fewest delistings. Meanwhile, weaker and softer housing markets in places like Texas and Florida saw the highest levels of delistings. Why should buyers pay attention? Rising relistings can create buying opportunities. A relisted home often signals that the property was previously marketed, failed to transact at the sellers desired price, and is now returning with perhaps more realistic expectations. That dynamic can produce real seller fatigue, as months of showings, price cuts, and stalled negotiations reset pricing psychology and increase willingness to negotiate on price, concessions, repairs, or rate buydowns. Relistings also give buyers an information advantage by revealing prior list prices, time on market, and whether earlier deals fell apart, helping anchor offers to true market-clearing levels rather than aspirational pricing. Savvy buyersand their agentsshould always do their homework and confirm whether a property was listed in the prior year, how pricing evolved, and why it didnt sell, as that context can materially strengthen negotiating leverage.
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