Assessing more than 200,000 interactions with its Copilot generative AI chatbot, the tech giant has produced a comprehensive list of the occupations in which AI is most and least applicable. Office jobs such as sales and communication roles are among those most at risk from AI, as the ever-developing software takes on more of the tasks usually carried out by workers in these fields.
Headlines promised that AI would transform every corner of business. Venture capital poured into the sector. But hype doesn't always translate into real-world use—especially in industries that aren't built to adopt change quickly. Food procurement, where billion-dollar decisions hinge on weather patterns and multiyear contracts, not to mention generational relationships and personal rolodexes, is one of those industries. In a space where legacy companies tout decades of experience, newness isn't always a boon.
Gartner's study pours cold water on the current state of the industry, however, noting that the "mass proliferation" of agentic tools "far exceeds the present demand".
EA executive Rebecka Coutaz, who serves as VP general manager at Criterion and Dice, two of the four studios involved in the development of Battlefield 6, told BBC Newsbeat that there was no GenAI-created content within the final game. Coutaz said that generative AI had been utilised in preparatory stages to allow developers "more time and more space to be creative".
She told BBC Newsbeat that EA's teams use genAI in the early stages of development "to allow more time and more space to be creative." But Battlefield 6 has no genAI-created content. She is optimistic about the technology overall, though. "If we can break the magic with AI it will help us be more innovative and more creative," she said.
Looking for a new job has always been, generally speaking, a massive pain in the ass. These days, this pain is often inflicted bureaucratically, through firms' opaque and mysterious hiring systems and the online platforms job seekers use to find them in the first place. The basic complaint spans industries: Sparse listings on exploitative sites are overwhelmed with applicants who, after applying, never hear back, not even with a rejection (were the listings even real?).
Prescribed burns reduce fuels, leading to less intense wildfires, along with other proven benefits, such as promoting the resilience of forest habitats. Carefully managed prescribed burns are a vital component in our efforts to combat the threat of wildfire, which increases with the intensification of climate change and the growing proximity of human populations to wildlands. This initiative helps not only property owners but also anyone who values public lands and the cleaner air that comes with a reduction in wildfire intensity.
NVIDIA has long been a key supplier to Musk's companies. Tesla ( NASDAQ:TSLA ), for instance, relies heavily on NVIDIA's hardware for its autonomous driving systems and AI training. But it's one of Musk's latest endeavors, xAI, that has Huang particularly fired up as it is building out a massive AI infrastructure - including the Colossus supercluster, a 2-gigawatt beast powered by NVIDIA GPUs.
In the age of generative AI, not all is what it seems. From photorealistic videos of OpenAI CEO Sam Altman's head grotesquely poking out of a toiletto AI chatbots that can blaze through a Turing Test without raising suspicion, it's never been harder to distinguish between reality and a fiction dreamed up by an AI. Still, some instances of AI use still stand out like a sore thumb. Take, for instance, this Zillow listing for a single-family rental home in Detroit, Michigan.
Across the six countries we looked at (Argentina, Denmark, France, Japan, the United Kingdom, and the United States), the proportion of people who say they have ever used a generative AI tool jumped from 40% in 2024 to 61% in 2025. More significantly, weekly usage surged from 18% to 34%. In the U.S., where adoption was already higher, growth was more modest but still significant, rising from 31% to 36% weekly use.
It can be pretty tough to predict when the next share split will be for any given name. Undoubtedly, some stocks can continue flying into the high hundreds and even settle into the thousands for many years at a time. And while stock splits are great for accessibility, I do think that with the rise of partial share purchases that stock splits are becoming less of a critical factor for managers.
To virtually try on a pair of shoes, users need to tap on any product listing on Google, select the "Try It On" button, and then add a full-length photo of themselves. After a few seconds, they will see the shoes from the listing on a digital version of themselves. Users have the option to save or share the image with others.
We're living through an era of accelerated change, and leaders feel it every day. In five years, we've experienced the impacts of Covid and how it rebooted the norms we took for granted in how we work; the advent of gen AI and the reckoning with its massive impact on business as usual; and high geopolitical instability and its paralyzing effects on business decisions.
Cybercriminals aren't just breaking into systems anymore; increasingly, they're breaking into identities. By impersonating trusted companies through look-alike domains, fake apps or cloned websites, attackers turn logos, tone and messaging into tools of deception. For communications and marketing leaders, this is a reputational flash fire that spreads faster than your crisis comms team can respond. And with generative AI making fake campaigns nearly indistinguishable from the real thing, brand impersonation has become one of the most under-recognized business risks today.
Just last month, I watched my 12-year-old nephew ask ChatGPT to write a story about a dragon who codes websites. Within seconds, he had a three-page tale complete with technical jokes I barely understood. That moment crystallized something I'd been thinking about for months: generative AI isn't just changing how we work, it's reshaping how we create, learn, and solve problems.
Yet risk management teams are still expected to work with processes and tools designed for a more leisurely age-manual reviews of hundred-page documents, hand-typed case narratives and memos, and compliance processes that chase regulations one change at a time. Generative AI (gen AI) offers a different path, changing how risk teams work. Instead of spending hours manually combing through documents, teams can receive clear, decision-ready summaries in minutes. While technology does not replace professional judgment, it accelerates the groundwork, allowing experts to concentrate on assessing exposures and taking action before risks escalate.
The state of AI in software engineering report from Harness, based on a Coleman Parker poll of 900 software engineers in the US, UK, France and Germany, found that almost two-thirds of the people surveyed (63%) are already using artificial intelligence (AI) tools for code generation, and just over half (51%) anticipate that AI tools will significantly impact the speed of code creation.
This technology is now really good enough to do something that the fashion industry has wanted to do for about 30 years. The Clueless comparison comes up a lot, and so it's been in the public consciousness for some time, but the tech has never really been there yet,
In the basement of the conference hall, the working-group-turn-therapy session offered worksheets to attendees to find the venn diagram between what individuals enjoy and current industry needs. "You just sometimes have to pause and say, 'Am I going to be OK? Is this going to be alright?', Mirza said, adding that it was important to acknowledge that humans can do some things "better" than AI.
This makes Zillow the only real estate app available through the ChatGPT platform. When users now ask ChatGPT questions like, What can I afford nearby? or Show me homes with a big backyard, the Zillow app in ChatGPT will provide them with listings complete with photos, maps and pricing. Zillow noted that this information will be attributed to the listing agent and MLS.
Deloitte has agreed to refund part of an Australian government contract after admitting it used generative AI to produce a report riddled with fake citations, phantom footnotes, and even a made-up quote from a Federal Court judgment. The consulting giant confirmed it would repay the final installment of its AU$440,000 ($291,245) agreement with Australia's Department of Employment and Workplace Relations (DEWR) after the department re-uploaded a corrected version of the report late last week - conveniently timed for the weekend. The updated version strips out more than a dozen bogus references and footnotes, rewrites text, and fixes assorted typos, although officials insist the "substance" of the report remains intact. The work, commissioned last December, involved the Targeted Compliance Framework - the government's IT-driven system for penalizing welfare recipients who miss obligations such as job search appointments.
APIs, or application programming interfaces, started out as a mechanism to let computers talk to other computers, but somewhere along the way, they've evolved into an ecosystem all their own. For virtually any development need, there is likely an API ready and waiting to deliver. Like the Lincoln Logs or Lego bricks of old, APIs are building blocks for creating applications.
A Palo Alto lawyer with nearly a half-century of experience admitted to an Oakland federal judge this summer that legal cases he referenced in an important court filing didn't actually exist and appeared to be products of artificial intelligence "hallucinations." Jack Russo, in a court filing, described the apparent AI fabrications as a "first-time situation" for him and added, "I am quite embarrassed about it."
Billions of dollars are flowing into artificial intelligence companies such as OpenAI and Anthropic, yet investors in software firms that should also be well-positioned to benefit from the AI boom have largely been left on the sidelines. Cloud-based company Salesforce is down 28% year to date, closing at $240.36. Adobe is down 21% ending at $346.74. And a Morgan Stanley basket of SaaS stocks, a group of software-as-a-service companies the bank tracks to gauge sector performance, fell more than 6% this year.
To help us potentially answer that question, I'll be hosting a live conversation with prominent AI critic Ed Zitron on October 7 at 3:30 pm ET as part of the Ars Live series. As Ars Technica's senior AI reporter, I've been tracking both the explosive growth of this industry and the mounting skepticism about its sustainability. You can watch the discussion live on YouTube when the time comes.
