LLMjacking can run up your business' AI bill fast - how to stop it Google analysts warn that stolen AI credentials are being sold underground, and businesses are footing the bill. Charlie Osborne is a cybersecurity journalist and photographer who writes for ZDNET and CNET from London. Security experts warn of a growing market in stolen AI account credentials. LLMjacking, the illegal use of AI resources, is a popular criminal trend in 2026. Businesses must monitor and protect their accounts. Security experts warn that it's not just artificial intelligence (AI) going rogue that we have to worry about -- there's also a booming underground economy for selling access to your AI models and computing power.

United States President Donald Trump and China's President Xi Jinping are set to meet in Washington, DC on Thursday for a summit that is expected to cover trade, artificial intelligence (AI), Taiwan and the US-Israel war on Iran. In advance of the talks, US Treasury Secretary Scott Bessent said Washington had proposed an AI " notification mechanism " with China - effectively a hotline to alert each other when AI incidents threaten national security. The meeting comes as leading AI companies warn about the technology's risks, while both superpowers push to accelerate their AI race. In this visual explainer, Al Jazeera compares the US and China's AI strength in computing power, AI models, spending and research. Who has more computing power?

What are the biggest AI companies and how much are they worth? Share What are the biggest AI companies and how much are they worth? A renewed debate has emerged over who should control the development of artificial intelligence (AI). The latest dispute follows an essay by Anthropic CEO Dario Amodei, who has argued that the development of increasingly powerful AI systems needs to slow down, calling for greater regulation. US President Donald Trump pushed back, writing on Truth Social that the US already has "tremendous CRIMINAL and REGULATORY power" over AI companies, framing safety concerns as a conspiracy that only benefits China. He went on to say that whoever wins the AI race wins outright.

Google reportedly capped Meta's use of Gemini AI for coding and chatbots Google reportedly capped Meta's use of Gemini AI for coding and chatbots Even tech giants with their own LLMs are having trouble finding enough computing power. Google was forced to cap Meta's use of its Gemini AI model after Mark Zuckerberg's company exceeded its computing capacity, sources familiar with the matter told The Financial Times . The incident reveals that even tech giants with their own LLMs are having trouble finding enough computing power for themselves, let alone their customers. Meta does not operate its own cloud business and is trying to rapidly expand its own data center build out, having pledged $600 billion in cloud computing investments over the next two years. Google reportedly warned the social media company about its capacity limits in March, in turn forcing Meta to request that employees use tokens more efficiently, the sources said.

SpaceX backs Anthropic with data centre deal amidst Musk's OpenAI lawsuit Anthropic has reached a deal to tap the computing resources of Elon Musk's SpaceX, marking a detente with its one-time critic and a boost for both companies in the high-stakes artificial intelligence race. Under the agreement announced on Wednesday, Anthropic will use the full computing power of SpaceX's Colossus 1 facility in Memphis, Tennessee, which houses more than 220,000 Nvidia processors and will give the Claude chatbot maker 300 megawatts of new capacity within a month. That's enough electricity to power more than 300,000 homes - as the Dario Amodei-led company seeks to boost the capacity of its Claude Pro and Claude Max AI assistants for subscribers. The tool allows AI systems to review work between sessions, spot patterns, and update files that store user preferences and other context. Available as a research preview, "dreaming" comes with software for managing agents, or AI programmes that perform tasks with little human involvement.

The days of tech giants buying up discrete chips are over. AI companies now need GPUs, CPUs, and everything in between. Ask anyone what Nvidia makes, and they're likely to first say "GPUs." For decades, the chipmaker has been defined by advanced parallel computing, and the emergence of generative AI and the resulting surge in demand for GPUs has been a boon for the company . But Nvidia's recent moves signal that it's looking to lock in more customers at the less compute-intensive end of the AI market--customers who don't necessarily need the beefiest, most powerful GPUs to train AI models, but instead are looking for the most efficient ways to run agentic AI software.

When you purchase through links in our articles, we may earn a small commission. The Alliwava GH8 is a good example of how much performance is possible today in the smallest of spaces. The Alliwava GH8 is a good example of how much performance is possible today in the smallest of spaces. With the Ryzen 9 8945HS, it not only offers powerful CPU performance, but also added value for AI applications thanks to the improved NPU. In doing so, it leaves many competitors behind in terms of connectivity and cooling management.

Since 2021, China has reportedly poured $100bn into support for AI datacentres. Since 2021, China has reportedly poured $100bn into support for AI datacentres. Beijing's AI policy is focused on real-life applications but Chinese companies are beginning to articulate their own grand visions S tanding on stage in the eastern China tech hub of Hangzhou, Alibaba's normally media-shy CEO made an attention-grabbing announcement. "The world today is witnessing the dawn of an AI-driven intelligent revolution," Eddie Wu told a developer conference in September. " Artificial general intelligence (AGI) will not only amplify human intelligence but also unlock human potential, paving the way for the arrival of artificial superintelligence (ASI)."

Amazon is set to invest up to $50bn to expand artificial intelligence (AI) and supercomputing capacity for United States government customers, in one of the largest cloud infrastructure commitments targeted at the public sector. The e-commerce giant announced the investment on Monday. One gigawatt of computing power is roughly enough to power about 750,000 US households on average. "This investment removes the technology barriers that have held the government back", Amazon Web Services (AWS) CEO Matt Garman said. AWS is already a major cloud provider to the US government, serving more than 11,000 government agencies.

OpenAI has signed a $38bn (£29bn) contract with Amazon to access its cloud computing infrastructure, as the start-up continues its run of major partnerships to secure computing power . In 2025, the ChatGPT maker has signed deals worth more than $1tn with Oracle, Broadcom, AMD and chip-making giant Nvidia. Its latest deal reduces its reliance on Microsoft. As part of the seven-year agreement, OpenAI will gain access to Nvidia graphics processors to train its artificial intelligence models. The deal follows a sweeping restructure of OpenAI last week which saw it convert away from being a non-profit and changed its relationship with Microsoft to give OpenAI more operational and financial freedom.