The country's top internet regulator, the Cyberspace Administration of China (CAC), requires that any company launching an AI tool with "public opinion properties or social mobilization capabilities" first file it in a public database: the algorithm registry. In a submission, developers must show how their products avoid 31 categories of risk, from age and gender discrimination to psychological harm to "violating core socialist values."
Employees opening ChatGPT across the UK won't find promotions sitting beneath answers, nudging their purchases and reframing advice. Details like this matter, because clarity matters, and confusion breeds bad decisions. Right now, advertising inside ChatGPT is being tested in the United States on free and low cost tiers. UK rollout has not been announced, but you can guarantee mistakes will happen as history has shown us time and time again. Complacency would be the wrong response.
That model no longer fits how tech leaders work today. Over the past years, I have spent time in conversations with founders, executives, and operators who carry real responsibility inside their organizations. As a community builder, I often speak with them before they commit to attending events. Their questions are direct. They want to know who will be in the room, how discussions are structured, and whether the environment allows honest exchange.
In the early days, VAST Data's focus was primarily on storing enormous amounts of data. "Even before we talked about AI, data had to be stored somewhere," Pernsteiner notes. The company started out in the world of HPC (High Performance Computing). The choice of this sector was strategic: in that world, the scale and performance requirements are enormous. With this choice, VAST more or less forced itself to set the bar very high.
OpenAI said on Friday that free and Go users of ChatGPT would start seeing ads "in the coming weeks." OpenAI also laid out its advertising principles, such as clearly labeling them and not sharing user conversations with advertisers. "A path to generating several billion dollars in ad revenue in 2026, going to $25B+ by 2030, seems reasonable," Mahaney wrote in a note to investors. That's based on the likely scale of ChatGPT by that time, the proven monetization of high-intent performance marketing platforms, and the current size of this market, the analyst added.
He's the perfect outsider figure: the eccentric loner who saw all this coming and screamed from the sidelines that the sky was falling, but nobody would listen. Just as Christian Bale portrayed Michael Burry, the investor who predicted the 2008 financial crash, in The Big Short, you can well imagine Robert Pattinson fighting Paul Mescal, say, to portray Zitron, the animated, colourfully obnoxious but doggedly detail-oriented Brit, who's become one of big tech's noisiest critics.
Against that backdrop, Europe's reliance on American-made AI begins to look more and more like a liability. In a worst case scenario, though experts consider the possibility remote, the US could choose to withhold access to AI services and crucial digital infrastructure. More plausibly, the Trump administration could use Europe's dependence as leverage as the two sides continue to iron out a trade deal. "That dependency is a liability in any negotiation-and we are going to be negotiating increasingly with the US," says Taddeo.
Artificial intelligence is no longer futuristic-it's functional. Hotels are already utilizing AI to integrate siloed systems, such as PMS, accounting, CRM, and forecasting platforms, to drive faster and smarter decisions. Tools like Placer.ai and PredictHQ help identify ideal customers through demographic, behavioral, and geolocation data. As automation expands, the next opportunity lies in strategic human oversight: consultants and managers will interpret AI outputs, guiding capital investments and operational priorities rather than being replaced by algorithms.
In a few short years, artificial intelligence has transformed from what many viewed as a moonshot to the source of countless real-world benefits. At Pinterest, for instance, we're deploying AI to flip the script on social media, using it to more aggressively promote user well being rather than the alternative formula of triggering engagement by enragement. I believe AI can benefit our 600 million users for years to come and at a fraction the cost that many associate with the technology.
I've learned which skill sets software engineers need to land a job offer in the AI era. Tech companies agree that AI makes engineers more productive, so engineers are expected to use it to build things more quickly and reliably. I personally make heavy use of AI to help me with boilerplate stuff so that I can concentrate on the hard stuff, like system design and complex business logic.
OpenAI calls this disconnect the "capability overhang," and it's the company's focus for the World Economic Forum in Davos, Switzerland. In a report set to be released Wednesday at an OpenAI event, "Ending the Capability Overhang," execs will argue that the capability gap must be closed for AI to deliver social and economic benefits. Without that shift, the biggest gains from AI will flow to the countries, companies and workers who are testing and pushing AI's limits.
Gartner predicts that global spending on AI will reach $2.52 trillion in 2026. That is an increase of 44 percent compared to the previous year. Much of the growth is expected to be driven by AI infrastructure, particularly investments in AI-optimized servers, which are expected to increase by 49 percent and account for 17 percent of the total AI spend.
The consulting giant questioned 4,454 chief executives across 95 countries and territories about their strategic priorities and outlook in the year up to November 2025. More than half of the CEOs surveyed, 56%, said AI hasn't produced revenue or cost benefits for their businesses to date. Some reported benefits for either revenue or costs: around a third said their revenue was up in the last year, and 26% said they were seeing lower costs from AI.
At the CES 2026 show recently, management reiterated that demand for its Blackwell platform remains robust, even as its next-generation Vera Rubin systems are expected to roll out in the second half of 2026. Management said last quarter that Blackwell and Rubin are together supporting revenue visibility of roughly $500 billion through 2026. Of this, $150 billion in orders had already been shipped through the third quarter of fiscal 2026 (ending Oct. 26, 2025).
Advertisements are coming to ChatGPT. The world's most popular chatbot will soon serve up advertisements influenced by its conversations with users. OpenAI says it will not sell user data to advertisers and that conversations will be kept private, but the decision reorients the financial incentives of one of the most widely used products in artificial intelligence.
The exponential growth of scientific literature presents an increasingly acute challenge across disciplines. Hundreds of thousands of new chemical reactions are reported annually, yet translating them into actionable experiments becomes an obstacle1,2. Recent applications of large language models (LLMs) have shown promise3,4,5,6, but systems that reliably work for diverse transformations across de novo compounds have remained elusive. Here we introduce MOSAIC (Multiple Optimized Specialists for AI-assisted Chemical Prediction), a computational framework that enables chemists to harness the collective knowledge of millions of reaction protocols.
By bringing Langfuse in-house, ClickHouse can offer customers a native way to collect, store, and analyze large volumes of LLM telemetry alongside operational and business data, helping teams debug models faster, control costs, and run more reliable AI workloads without relying on a separate observability tool, Tyagi added.
"We are aware that many modern game development environments have AI powered tools built into them. Efficiency gains through the use of these tools is not the focus of this section," reads the generative AI disclosure form for developers, as seen in a screenshot posted by Carless on LinkedIn. "Instead, it is concerned with the use of AI in creating content that ships with your game, and is consumed by players. This includes content such as artwork, sound, narrative, localization, etc.," the form reads.
The "Design Producer" role he describes feels like a credible answer to that gap. AI-native tools such as Claude Code make this role newly viable. When designers can prototype, ship code, and explore ideas directly, the leverage of a senior IC shifts. Their value isn't headcount management. Instead, it's taste, judgment, and the ability to help others move faster and aim higher.
This past fall, OpenAI, the source of the ChatGPT app that 800 million people now use every week, chose to restructure its organization to prioritize generating revenue for stakeholders over providing ethical and objective information for the world. Reporter Frank Landymore summarized the decision: "The move completes the company's metamorphosis: from its origins as a non-profit devoted to developing open source AI technology for the betterment of humankind to the closed-source, profit- seeking juggernaut that it is today, with its staggering half-trillion dollar valuation."
With AI predicted to balloon to a $4.8 trillion market by 2033, Farley warned the U.S. has overlooked the labor needed to build and sustain data centers and manufacturing facilities. While President Donald Trump imposed sweeping tariffs to revive factory jobs, there continues to be recruitment and retention problems in U.S. manufacturing.
For the past three years, the conversation around artificial intelligence has been dominated by a single, anxious question: What will be left for us to do? As large language models began writing code, drafting legal briefs, and composing poetry, the prevailing assumption was that human cognitive labor was being commoditized. We braced for a world where thinking was outsourced to the cloud, rendering our hard-won mental skills, writing, logic, and structural reasoning relics of a pre-automated past.
.jpg?trim=0,0,0,0&width=1200&height=800&crop=1200:800)
