To explain why, Levie pointed to economist William Stanley Jevons. In 1865, Jevons observed that more efficient steam engines didn't curb coal use in England but drove it higher, as cheaper energy fueled new industries - a dynamic now known as the Jevons paradox. Levie said the same pattern has repeated itself in computing, with each major wave of cheaper technology - from mainframes to minicomputers to PCs - dramatically expanding adoption.
SoftBank Group will acquire digital infrastructure investor DigitalBridge Group in a deal valued at $4bn, the companies said on Monday, as the Japanese investment firm looks to deepen its AI-related portfolio. The acquisition would expand SoftBank's exposure to digital infrastructure as the Japanese conglomerate is positioning its portfolio to focus on artificial intelligence. SoftBank's billionaire founder Masayoshi Son is seeking to capitalize on surging demand for the computing capacity that underpins artificial intelligence applications.
Last week, shares of Palantir Technologies Inc. (NASDAQ:PLTR) lost 0.84% over past five trading sessions after gaining 6.56% the five prior. The damage from the AI-fueled sell-off that began in late October and carried deep into November appears to be in the rearview mirror, and the stock is now up nearly 151% in 2025, including a gain of 38.43% over the past six months. Since going public on Oct. 2, 2020, it has gained an eye-popping 1,951.20%.
Google is testing an option to read aloud the AI Overviews by clicking on a speaker icon at the top of the AI Overview within Google Search. And the crazy thing, this is being tested in the US. Glenn Gabe, who is based in the United States, spotted this and posted about it on X a couple of weeks ago and he still sees it pop up here and there for AI Overviews.
It has been a dramatic and challenging year for developers and engineers working in devops organizations. More companies are using AI and automation for both development and IT operations, including for writing requirements, maintaining documentation, and vibe coding. Responsibilities have also increased, as organizations expect devops teams to improve data quality, automate AI agent testing, and drive operational resiliency. AI is driving new business expectations and technical capabilities, and devops engineers must keep pace with the speed of innovation.
Since President Donald Trump took office in January, artificial intelligence and quantum-information science have sat at the top of his administration's scientific priorities. And they don't seem to be leaving any time soon. Trump has ordered his advisers to ensure that the nation is "the unrivaled world leader" in AI and quantum information. The subjects are listed first and second on the administration's list of research and development priorities.
In March 2025, 900 U.S. adults shared their browsing behavior with the Pew Research Center. Roughly 58% of those adults encountered an AI Overview when searching on Google. Only 8% then clicked a traditional listing. Conversely, 42% of Google searchers received no AI Overview; 15% then clicked on a listing. The immediate impact - 8% vs. 15% - is material and measurable. According to eMarketer, zero-click searches have reduced traffic to many websites by 25% or more.
It also includes a requirement for parental controls, and for protection of data that describes minors. One Article in the draft addresses how AI companions interact with the elderly: The draft also calls for AI companions to remind users they are not interacting with a human every two hours, and for providers of such systems to provide advance notice of outages.
A research team based in China used the Claude 2.0 large language model (LLM), created by Anthropic, an AI company in San Francisco, California, to generate peer-review reports and other types of documentation for 20 published cancer-biology papers from the journal eLife. The journal's publisher makes papers freely available online as 'reviewed preprints', and publishes them alongside their referee reports and the original unedited manuscripts.
In the same post, Altman noted that in 2025, the world received a taste of the impact that AI models can have on human mental health. OpenAI has been named in several lawsuits accusing the company of negligence related to users' mental well-being. Previously, the role of Head of Preparedness was held by Joaquin Quiñonero Candela and Lilian Weng. Weng left the company in November 2024, while Quiñonero Candela's role was changed to Head of Recruitment in July 2025.
Anu Shah (also known as Anuja Shah or Anuja Sharad Shah) is a globally recognized entrepreneur and big-tech leader whose career is a masterclass in resilience and high-stakes innovation. Currently serving as a Principal Product Manager - Tech at Amazon, Shah brings a wealth of experience from her tenure at Meta (Facebook), where she led AI-driven creative automation and global brand advertising initiatives.
Why Alphabet performed well this year Alphabet actually didn't start the year strong. However, at least two things happened that helped it reverse course. First, Alphabet posted excellent financial results. The company's work in cloud computing and artificial intelligence (AI) has been tremendously helpful. The tech leader is showing that, despite competition from AI chatbots, it remains the leader in search, while providing in-demand AI services through the cloud.
ChatGPT is expected to introduce advertising inside conversations starting in 2026. This marks a major shift toward conversational discovery, where people get answers - and soon, ads - directly through dialogue rather than traditional search results. According to the article, this upcoming feature could possibly undo Google's dominance as the top search engine as conversational AI has "gone mainstream" in less than three years.
There is much anxiety these days about the dangers of human-AI relationships. Reports of suicide and self-harm attributable to interactions with chatbots have understandably made headlines. The phrase AI psychosis has been used to describe the plight of people experiencing delusions, paranoia or dissociation after talking to large language models (LLMs). Our collective anxiety has been compounded by studies showing that young people are increasingly embracing the idea of AI relationships; half of teens chat with an AI companion at least a few times
Silicon Valley tech pioneer Andrew Ng says AI is still very limited in terms of practical applications despite its powerful capabilities. The tech founder and Stanford professor says humans won't be replaced any time soon, and AI-assisted coding by humans will still be in demand. [NBC Bay Area] About 6,000 residents and businesses in San Francisco's Golden Gate, Panhandle, and parts of the Sunset lost power Saturday around 11 am until about 3 pm, a week after the massive outage affecting about 200,000 residents.
The competition between OpenAI and Google becomes stronger each day. Google's recent success with Nano Banana Pro forced OpenAI to move faster and ship new AI models to market. One of the latest changes is ChatGPT Images, which is both an updated AI image generator model and a separate mode for ChatGPT. In this article, I want to discuss the reasons why product designers can benefit from this model.
I asked people with aspirational jobs their formulas for success - including how tech workers in various stages of their careers landed cutting-edge AI jobs. These conversations covered a variety of topics, from whether you need a Ph.D. to break into the field to how to earn big as an AI contractor. But one remarkably simple piece of advice kept coming up: gain real-world experience with AI technology to help get your foot in the door.
Instead of displacing employees from their jobs, AI is helping humans perform better at work, leading to some career wins. The job growth rate of occupations with high AI exposure-including office clerks, HR assistants, and data scientists-increased from 1% in pre-COVID-19 years (2015 through 2019) to 1.7% in 2023 and beyond, according to Vanguard's research. Meanwhile, the growth rate of all other jobs declined from 1.1% to 0.8% over the same period.
2025 was unquestionably the year of AI. Big Tech shelled out roughly $400 billion on capex, a spending spree so extensive that some economists believe it staved off an overall recession. Nvidia became the first $4 trillion company. And AI content became inescapable, seeping into everything from Hollywood to campaign ads - even Mickey Mouse is getting into AI. It hasn't been an endless party. Seemingly every few weeks, the stock market gets spooked that music is about to stop.
For a while last year, scientists offered a glimmer of hope that artificial intelligence would make a positive contribution to democracy. They showed that chatbots could address conspiracy theories racing across social media, challenging misinformation around beliefs in issues such as chemtrails and the flat Earth with a stream of reasonable facts in conversation. But two new studies suggest a disturbing flipside: The latest AI models are getting even better at persuading people at the expense of the truth.
What if you could automate the most tedious parts of coding while maintaining full control over your projects? André Mikalsen breaks down how Auto Claude, a free and open source AI coding assistant, is transforming the way developers approach their work. From resolving merge conflicts to generating project roadmaps tailored to your goals, this assistant adapts to your workflow and helps you focus on what truly matters: creativity and problem-solving.
Artificial intelligence is making waves with crypto predictions as the year wraps up. We ran a real-time accuracy test to see which AI gets the correct prediction of top crypto prices by December 31. We asked ChatGPT, Claude, and DeepSeek to forecast year-end prices for Bitcoin ( ), Ethereum ( ), Solana ( ), and XRP ( ). Currently, BTC is trading at approximately $88,000, ETH around $2,965, XRP at roughly $1.88, and Solana hovers around $122.
The backlash against AI invading almost every aspect of the computing experience is growing by the day. Particularly as an onslaught of lazy AI slop subsuming news feeds, the tech is starting to feel like a massive distraction - and huge parts of the internet are disillusioned or even fuming in anger.
On a drizzly and windswept afternoon this summer, I visited the headquarters of Rokid, a startup developing smart glasses in Hangzhou, China. As I chatted with engineers, their words were swiftly translated from Mandarin to English, and then transcribed onto a tiny translucent screen just above my right eye using one of the company's new prototype devices. Rokid's high-tech spectacles use Qwen, an open-weight large language model developed by the Chinese ecommerce giant Alibaba.
I was like, okay, it's stupid. It makes a mistake, Moran said. Finally I said, hey, I'm Terry, tell me why you were calling me Joni.' [It]says, because you told me to.' I said, where did I tell you to?' It got in a fight. It was like angry. I am programmed to do what you tell me. You call yourself Joni.' I said, I have never done such.'
The massive, rapid adoption of AI across industries - from personalized retail recommendations to automated factory floors - has created an insatiable demand for people who don't just build models, but who can integrate them into real products. This transformation makes the ML Engineering role a core pillar of modern tech. Unlike a machine learning scientist who focuses heavily on research and new algorithm creation, the ML Engineer is the one who puts that science to work.
For the past three years, AI 's breakout moment has happened almost entirely through text. We type a prompt, get a response, and move to the next task. While this intuitive interaction style turned chatbots into a household tool overnight, it barely scratches the surface of what the most advanced technology of our time can actually do. This disconnect has created a significant gap in how consumers utilize AI.
Enso, which operates a Vibe Automation platform for building and managing agents, has produced an advertising campaign that showcases the capabilities of advanced AI tools through its method of creation. The campaign, titled " produced in just six hours at a cost of $150, spent entirely on AI tools, without hiring actors or professional crews. Enso said a similar campaign about a year ago would have taken about a month and cost $10,000 to $20,000, requiring a full production team, actors, a professional voice actor, locations, coordinated shoot days and post-production editing.
Addressing one of the most persistent critiques of the current artificial intelligence boom, CoreWeave CEO Michael Intrator pushed back against the narrative of a "circular AI economy" in an appearance at the Fortune Brainstorm AI conference in San Francisco. While skeptics often point to the tangled web of investments between chipmakers, cloud providers, and AI startups as a financial bubble, he argued that deep industry collaboration is the only viable response to a historic supply chain crisis.
AI is no longer the future of healthcare; it's already reshaping how patients are diagnosed and treated. Some of the most interesting developments involve systems that sense and respond to human emotion. Cedars-Sinai's Connect platform, for example, adapts care based on patient sentiment; CompanionMx interprets vocal and facial cues to detect anxiety; and Feel Therapeutics uses emotion-sensing wearables to tailor interventions in real time.
AI assistants like ChatGPT, Claude and Perplexity-powered by large language models (LLMs)-are emerging as parallel gatekeepers. They're quietly reshaping which brands get recommended long before a buyer ever reaches a search results page. In my previous article, I discussed how Google's AI Overviews are intercepting traffic (even for top-ranking sites). But there's another shift that many businesses haven't recognized: Search engines are no longer the only place where your customers' questions get answered.
A study from University of Pennsylvania's Wharton School and the Hong Kong University of Science and Technology found that when placed in simulated markets, AI trading bots did not compete with one another, but rather began colluding in price-fixing behaviors. According to the study authors, research on how AI behaves in market environments can help regulators understand gaps in existing rules and statutes.
Undoubtedly, there's still a lot of nerves out there over the latest wave of volatility, which may very well be the start of a painful, drawn-out move lower. As to whether we're in an AI bubble, though, remains a mystery. It'll probably be the big question going into the new year. With a recent wave of relief powering hard-hit AI stocks higher in the last few sessions, it seems like AI fears might be in an even bigger bubble than the AI stocks themselves.
"The truth of the matter is that there's an unreleased title themed around AI, and for that specific title, a programmer mentioned they're deliberately having AI handle the programming as well," said Hino. "They used that as an example to suggest that an era like that might be coming, and that's what got blown out of proportion." "On the flip side, if they really were creating 80%-90% percent of the code with AI and successfully making games that way, it'd be incredibly impressive,"
They suffer from anxiety about aggressive drivers, get bewildered by exotic pets, and even experience a form of culture shock when moving from the West Coast to the East Coast. According to a recent presentation by an autonomous delivery executive, the artificial intelligence powering today's sidewalk robots is navigating a set of struggles that feels startlingly human. While the public often imagines autonomous robots as cold, calculating machines, the reality of deploying them in public spaces reveals a technology deeply concerned with social acceptance and survival. MJ Burk Chun, the co-founder and vice president of product design for Serve Robotics, addressed the Fortune Brainstorm AI conference with the argument that robots are just like us.
