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Starting today, Google is weaving its massive investment in AI into one product nearly everyone already usesand for many people, the change wont feel optional. Google announced Thursday that a suite of new features powered by Gemini 3 will begin appearing in Gmail, introducing automation designed to reduce inbox overload. The most consequential update is a new Gmail view called AI Inbox, which reshapes email around summaries, topics, and to-dos, rather than individual messages. What changes the moment this turns on For users, the shift isnt about learning new toolsits about no longer having to manage email the same way. Instead of opening Gmail to a chronological list of messages, AI Inbox presents a briefing-style overview that surfaces conversations, tasks, and updates it thinks matter most. With email volume at an all-time high, managing your inbox and the flow of information has become as important as the emails themselves, Gmail VP of product Blake Barnes wrote in a blog post announcing the changes. Googles goal, he added, is to turn Gmail into a personal, proactive inbox assistant. The new AI Inbox wont roll out right away. Google says its currently testing the feature with a small subset of users, with a broader rollout planned for the coming months. Less searching, more trusting In general, the addition of AI is meant to make finding things easier. Google says Gmails new AI Inbox will offer a personalized briefing that prioritizes conversations based on how you use email, filtering out what it considers clutter so you can focus on whats important. In practice, that means relying less on Gmails search barand more on AI judgments about relevance. Thats a notable shift for a product used by roughly 3 billion people worldwide. Next to search, Gmail is Googles most ubiquitous service, functioning as the default archive for receipts, contracts, travel plans, conversations, and work history. Yet even as inboxes have grown more crowded, Gmails core experience has changed little. Google acknowledged that gap directly. Your inbox is full of important information, but accessing it has required you to become a power searcher, Barnes wrote. And even when you find the right emails, you are often left staring at a list of messages, forced to dig through the text to piece together the answer. The new approach aims to remove that burden entirely by summarizing, prioritizing, and contextualizing information before users ask for it. Your inbox as memory, not messages Every online interaction youve ever had likely lives somewhere in your inbox, but finding the right detail at the right moment has long required manual effort. With AI Inbox, Google wants to change that by treating Gmail less like a communication tool and more like an external memory systemone that can recall information, surface context, and suggest next steps. That idea aligns with how people increasingly use AI tools like ChatGPT, but applying the same concept to email raises higher stakes. Gmail doesnt just hold drafts and threads; it holds personal history. How well users trust AI-generated summariesand whether they stop opening original messages altogethermay ultimately determine whether the new interface sticks. Trust, not accuracy, is the real test The real test for Gmails AI makeover wont be whether its summaries are technically accurate, but whether users come to trust them enough to stop opening original messages at all. As AI-generated overviews begin to replace scrolling and searching, the act of verifying informationbe it reading an entire thread, checking dates, or scanning for nuancemay quietly fade. Over time, Gmail could train users to rely on interpretation rather than inspection, shifting email from a record people consult to a system they simply accept. Which features everyone getsand which they wont Many of the new AI-powered Gmail features will roll out to all users, but some of the most powerful tools will be reserved for paying subscribers. One widely available update, called AI Overview, summarizes long email threads and highlights key points, reducing the need to reread entire conversations. That feature is rolling out broadly. However, a more advanced capabilityasking Gmail questions like Who was the plumber that gave me a quote last year? and receiving an AI-generated answerwill only be available to subscribers on Google One AI Pro or Ultra plans, priced at $20 and $250 per month, respectively. For free users, Gmail becomes more readable. For paid users, it begins acting more like a searchable personal archive. Writing emails with less effort Google is also expanding AI tools designed to reduce the friction of replying and composing emails. A tool called Help Me Write, previously just an option for paid subscribers, will now be available to all Gmail users, along with “Suggested Replies,” a refresh of a tool previously called “Smart Replies.” Help Me Write will help users draft emails from scratch using prompts, while Suggested Replies generates a tailored one-click response based on the context of your conversation. Paid subscribers will also get access to “Proofread,” which offers more advanced grammar, tone, and style suggestions while composing messages. What youll need to opt out of Many of these features will be enabled by default, meaning users who prefer a more traditional Gmail experience will need to actively disable Gemini-powered tools in Gmails Smart Features settings. For those eager to hand off more inbox management to AI, the transition may feel overdue. For others, it may feel like Gmail has quietly crossed a linefrom organizing information to deciding what matters. Either way, once Gmail stops asking you to search your inbox and starts telling you what you need to know, email may never feel quite the same.
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While headlines about AI replacing workers dominated 2025, behavioral health is charting a different path. The industry thrives on human connection, measuring success in trust, healing, and human relationships, not throughput. That’s not to say AI isn’t rapidly reshaping the industryit is. Its role here fundamentally differs because it supports clinicians rather than sidelines them. Over the next year, I predict we’ll see a paradox play out: Behavioral health will become increasingly AI-enabled, and simultaneously, more human than it’s been in decades. The reason is simple. Burnout and administrative burdens have been increasingly limiting what clinicians can do. Providers must spend hours on documentation, prior authorizations, and data entry instead of with patients. AI built to reduce that friction can return clinicians to the work that drew them here in the first place: showing up fully for the people they serve. Here are the five ways I believe well see AI reshape behavioral health in 2026: Therapy will get more personalized Rather than relying solely on memory or paper charts, therapists can now see recurring themes, emotional patterns, or missed follow-ups, often in real time. Over time, this will help providers offer more personalized, insight-rich carewithout having to sift through pages of notes. This saves time, but crucially it deepens therapeutic continuity. Less admin, more care Scheduling, billing, and documentation are necessary but time-consuming tasks that pull clinicians away from patients. AI will get more efficient at many of these routine workflows. Nationally, the Centers for Medicare & Medicaid Servicess push to Kill the Clipboard is accelerating this shift by setting the expectation that patient histories should flow digitally into Electronic Health Records rather than being re-collected on paper, so AI can automate the busywork and return that time to care. What used to require hours of after-hours work or weekend catch-up is now being done in minutes with AI. For clinicians, this means more time for reflection, team collaboration, or rest. AI trust will become part of the care experience For AI to truly support behavioral healthcare, its essential that patients and clinicians feel confident that it’s being used responsibly. In 2026, well see transparency and governance become integral to how care is delivered, not just how its built. When platforms make it clear how AI tools work, how data is protected, and who remains in control, it strengthens the therapeutic relationship rather than undermining it. Trust, in this context, is care. Staff well-being will increasingly get the attention it deserves The same technology that helps clinicians support patients can also help organizations support their staff. AI can give clinics real-time visibility into overwork, flagging unbalanced caseloads, surfacing signs of burnout, or routing time-saving tools to the right team member at the right moment. Workforce data can even help leaders proactively intervene before someone hits a breaking point. As an anecdote, Ive heard from neurodivergent clinicians who had long struggled with documentation requirements but are now able to keep up without added stress because of AI support. Thats a big win for inclusion, well-being, and workforce retention. When staff feel supported, patients feel it too. Proving outcomes will unlock new resources As behavioral health shifts toward value-based care, clinics and centers will be under increasing pressure to demonstrate measurable outcomes. AI can help care teams track progress across sessions, identify gaps in treatment plans, and present results in a way that supports reimbursement, accreditation, and compliance. For example, instead of checking a box to indicate that an appointment occurred, healthcare professionals can use AI to validate that they have met clinical goals, transforming anecdotal stories into structured documentation. These capabilities can also help organizations secure grants, expand services, and reach more people without overburdening already stretched teams. In that way, AI becomes a tool not just for care delivery, but for access and sustainability. FINAL THOUGHTS The shifts ahead won’t redefine what good behavioral health care looks likeclinicians already know what that looks like. But they will determine whether more people can access it, and whether the providers delivering it can sustain their work. AI that reduces administrative burden creates room for the kind of attention that changes outcomes. That’s not a moonshot. It’s already happening in clinics that have adopted these tools, where documentation that once took hours now takes minutes. A recent multicenter study in JAMA Network Open found that physicians using ambient AI scribes saw their burnout rates drop from 51.9% to 38.8% after just 30 daysa 74% reduction in the odds of experiencing burnout. While that research focused on medicine broadly, the implications for behavioral health are clear: When clinicians spend less time on screens and more time present with patients, both care quality and workforce sustainability improve. As these technologies become standard practice in 2026, the question shifts from whether AI belongs in behavioral health to how we deploy it. The organizations that treat it as critical infrastructure will be the ones that can scale quality care without burning out their teams. In a field where healing depends on human presence, technology that protects that presence isn’t optional anymore. Josh Schoeller is the CEO of Qualifacts.
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The average rate on a 30-year U.S. mortgage edged higher this week to just above its 2025 low. The average long-term mortgage rate rose to 6.16%, mortgage buyer Freddie Mac said Thursday. Thats up slightly from 6.15% last week, when the average rate dropped to its lowest level since October 3, 2024. One year ago, the rate averaged 6.93%. Borrowing costs on 15-year fixed-rate mortgages, popular with homeowners refinancing their home loans, rose this week to 5.46% from 5.44% the previous week. A year ago, it averaged 6.14%, Freddie Mac said. Mortgage rates are influenced by several factors, from the Federal Reserves interest rate policy decisions to bond market investors expectations for the economy and inflation. They generally follow the trajectory of the 10-year Treasury yield, which lenders use as a guide to pricing home loans. The 10-year yield was at 4.17% at midday Thursday. The average rate on a 30-year mortgage has been mostly holding steady in recent weeks since Oct. 30 when it dropped to 6.17%, which at the time was its lowest level in more than a year. Mortgage rates began easing in July in anticipation of a series of Fed rate cuts, which began in September and continued last month. The Fed doesnt set mortgage rates, but when it cuts its short-term rate that can signal lower inflation or slower economic growth ahead, which can drive investors to buy U.S. government bonds. That can help lower yields on long-term U.S. Treasurys, which can result in lower mortgage rates. All told, the average rate on a 30-year mortgage ended last year nearly a percentage point lower than at the start of 2025, helping boost home shoppers purchasing power toward the end of the year. Sales of previously occupied U.S. homes rose on a monthly basis in September, October and November. Still, even with long-term mortgage rates holding near their 2025 low point, sales in November slowed compared with a year earlier for the first time since May and ended the month on pace to finish the year down from 2024. December existing home sales data are due out next week. The recent pullback in mortgage rates has been helpful for home shoppers who can afford to buy at current rates. The median U.S. monthly housing payment fell to $2,365 in the four weeks ending January 4, according to Redfin. That’s a 4.7% drop from the same period a year earlier. While lower mortgage rates can help boost how much homebuyers can afford, the housing market remains out of reach for many aspiring homeowners, after years of soaring home prices and lackluster wage growth. First-time buyers have had it particularly tough, because they dont have equity from an existing home to put toward a new home purchase. Uncertainty over the economy and job market are also keeping many would-be buyers on the sidelines. Economists generally forecast that the average rate on a 30-year mortgage will remain slightly above 6% this year. Alex Veiga, AP business writer
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