Stacker-AI

  Earlier this year, The New York Times hired Oumi, an AI testing company, to answer a basic question: How often are Google’s AI Overviews right? The AI overviews are the summaries that sit on top of the search results that billions of people see every day. Oumi measured Google’s Gemini 3 model as accurate

  At the start of 2026, OpenAI began testing advertising inside ChatGPT, bringing paid messages into conversations people already use to compare products and solve everyday problems. The rollout arrived after a change many internet users had already begun to recognize. Rather than typing a few chopped-up keywords into a search box, people now ask

  According to new data from autonomous AI knowledge platform Teradata, a persistent tension remains in enterprise agentic AI adoption. Despite continuous and aggressive investment, many organizations are failing to move from experimentation to enterprise-wide adoption. Based on a survey of 1,000 senior technology and data leaders, Teradata’s 2026 report, Arrested Automation: Why Agentic AI

  Inside the world’s newest data centers, energy-guzzling computations proceed round the clock as AI chatbots and other generative AI tools tackle tasks from the frivolous to the weighty: assembling imagery for social media, proffering relationship advice, analyzing medical images to diagnose cancer, creating code for developers or detecting financial scams for banks. Just as

  Artificial intelligence has reached a consumer inflection point. According to a new survey from TD, more than 78% of Americans now report using AI-powered tools in their daily lives, and a majority (67%) say their AI proficiency increased over the past year. AI adoption has accelerated from early experimentation to everyday use, creating behavioral

  Adoption of artificial intelligence has been rapid and widespread, with Stanford University researchers pegging organizational uptake at 88%. The same report found that across the general population, generative tools have a far lower penetration level of 28.3% in the U.S., although this is below the global average of 53%. Regardless of which metrics are

  People are increasingly treating AI chatbots as friends, confidants and therapists, and they’re turning to them in the mundane and tough moments of their lives. This phenomenon hasn’t come without consequence: intense conversations with chatbots have regularly been linked to mental health spirals, and in some cases to suicide and murder. According to data

  Risk data is expanding faster than teams can manually structure, score, and act on it. As organizations scale, traditional risk management processes built around scattered artifacts become difficult to sustain. Artificial intelligence is helping many teams address these challenges—particularly, turning fragmented systems into a more continuous, data-driven risk management program. ‍There’s tremendous potential for

  A year into the forward-deployed engineer model, Superhuman, Infor and Leaping AI agree on the upside: Deployments that once took months now take weeks. They are also learning what it takes to sustain. Thomas Baucom’s calendar perpetually looks like “a bad game of Tetris.” Working as a forward-deployed engineer (FDE) at productivity platform Superhuman,

  If you’re bracing for another expensive back-to-school season, you’re not alone. Families in the U.S. expect to spend an average of almost $1,000 this year on school supplies. Nearly half (47%) of families expect to pay even more than last year, up from about a third (35%) a year ago, according to a 2026

  Searching for information has become the most common way Americans use AI. According to an AP-NORC survey, 60% of U.S. adults—and nearly three-quarters of adults under 30—say they use AI to find answers to their questions. Whether they’re asking “Should I lock in my mortgage rate?” “Is this rash something I should worry about?”

  AI was impressive enough when skilled developers could use ChatGPT to troubleshoot code. But now, the tech has evolved to the point that workers with no programming background can use AI to build apps from scratch, refine them, and ship them, all in a matter of days or even hours. Some folks call it

  Last year, Vanta’s AI Governance Survey found that 92% of leaders trust vendors that use AI. However, new hiring data suggests that confidence rests on a thin foundation. ‍Consider this: Axipro’s 2026 State of AI Governance Hiring in Europe study found that for every governance job listing, companies are looking to fill seven AI

  Anthropic, one of the world’s most prominent artificial intelligence companies, is launching a version of its AI-powered assistant Claude for teachers, entering a race by technology companies to infuse AI into education. Anthropic boasts that its product can incorporate academic standards from all 50 states, and teachers can use it to help devise lesson

  As data center construction accelerates to keep pace with AI, communities nationwide are increasingly concerned about how that development impacts them. In the last six months alone, nearly 30% of data center developers report increased community scrutiny on their projects, according to a survey of U.S. data center operators from power solutions provider Bloom

  “We do a lot of wonderful work with onions,” is a phrase you don’t hear often while reporting on artificial intelligence. But using algorithms to help farmers improve yields while reducing chemical usage is Swiss startup Ecorobotix’s bread and butter, according to Abbey Flury, global marketing and communications manager at the company. “Our onion

  What content do we actually need to come up in AI search? It’s a question businesses ask every day. As more customers turn to ChatGPT, Gemini, and other AI platforms to research products, services, and providers, marketers know AI search matters. The challenge is knowing which content investments are most likely to improve visibility

  Here’s an important statistic to consider: According to McKinsey’s State of AI 2025 Report, 88% of companies utilize artificial intelligence (AI) in at least one function of their business. However, just 39% of these companies experience measurable impacts from AI at the enterprise level. That means there’s a considerable amount of financial investment into