AI Price Hikes Prompt Antitrust Probes into Microsoft, Google, Meta
Ongoing probes suggest that regulators may act if they find that these companies are blocking competition or locking in customers.
Category
AI News & Trends
1041 articles • Page 36 of 70
Recursive Superintelligence Raises $650M for Self-Improving AI
Recursive Superintelligence, a new London AI startup, has raised over $650 million to build AI that may improve itself by rewriting its own code. The company's high valuation appears unusual for such a young business, and investors seem interested in its ambitious plans. Some experts suggest that self-improving AI might bring new safety risks, and European regulators may require more checks on these technologies. The big funding round suggests that interest in advanced AI is still strong, even as some people call for more caution.
Anduril Raises $5B at $61B Valuation, Doubles Worth
Anduril has raised $5 billion in new funding at a $61 billion valuation, doubling its worth from the previous year. This new money may show that big investors see a chance for companies that can deliver autonomous defense systems quickly. The company recently won large contracts with the U.S. Army and Air Force, which could bring in billions over several years. Anduril's sales and investments are growing, but reaching its target revenue may depend on how well it can deliver products and manage large government contracts.
CME Group and Silicon Data Plan GPU Compute Futures
CME Group and Silicon Data announced plans to create futures contracts for GPU computing capacity, but these products are still waiting for regulatory approval and are not yet available for trading. The contracts may let companies manage the risk of changing GPU rental prices by using a daily price index from Silicon Data. This new market could help cloud providers, AI teams, and traders handle price swings and secure enough computing power. The launch might happen later in 2026 if regulators approve the idea, but the details and timing are still uncertain.
Google Cloud expands FDEs to accelerate enterprise AI adoption in 2026
Google Cloud says it will hire many more forward deployed engineers (FDEs) in 2026 to help companies put AI projects into real use. This may be because demand for AI is growing faster than companies can actually set up these systems. Google leaders suggest that more technical experts, not sales staff, are needed to help with these complex projects. The company also announced partnerships and funding to support these efforts. It appears Google believes skilled help with deploying AI, rather than just building models, could make more businesses use its cloud services next year.
Anthropic Targets October 2026 IPO, Reports $30B Revenue
Anthropic, an AI company, reports about $30 billion in yearly revenue and may go public in October 2026 at a $400 - 500 billion value. Most of its growth comes from its AI coding tool, Claude Code, which appears to have over half of the market in enterprise AI coding. Some reports suggest Anthropic could be one of the largest tech IPOs ever if current trends continue. However, the company has not filed official IPO paperwork yet, and some observers say the IPO timing and value might change. There is uncertainty about when exactly the IPO will happen and at what value.
OpenAI expands enterprise push with new Frontier Alliance, targets 50% revenue from agents
OpenAI has started the Frontier Alliance to help big companies use AI agents in their main work processes. The main challenge for companies appears to be making AI fit into their existing systems, not making the AI smarter. Some reports suggest that businesses may pay for ongoing support and monitoring instead of just trying one-time AI prototypes. There are risks, such as data leaks, over-reliance on one vendor, and mistakes in AI use, but suggested solutions include regular audits and using more than one AI provider. OpenAI says that about 40% of its revenue now comes from enterprise customers and this may rise to 50% by late 2026, though it is unclear if these projects will lead to full-scale use.
New benchmark shows AI agents struggle with real-world office tasks
Recent tests suggest that AI agents may have trouble handling real-world office tasks. In a large benchmark, humans scored about 80.7% accuracy, while the best AI setup reached only 68.7%, with many agents performing much lower, especially on hard tasks. Another study found leading AI models answered fewer than one in four real workplace questions correctly, showing a gap between lab results and actual job performance. Researchers say this may be due to something called the 'Data Association Gap,' where AI struggles to connect information from messy and changing files. Some new methods may help improve results, but so far, evidence suggests AI agents still have a lot of work to do before they can reliably help with office workflows.
OpenAI, Microsoft adopt MRC for AI supercomputer networks
The main limit for AI supercomputers may be moving from chips to network fabric, as data suggests network slowdowns can waste many GPUs. Companies like OpenAI and Microsoft have started using Multipath Reliable Connection (MRC), which may help fix issues like latency and congestion by spreading data across many network paths. Spending on networking is growing and could remain about one-third of all AI infrastructure costs. Early results suggest MRC can help model training continue even if some network links fail, though analysts note that more data is needed to know the full impact. It appears that strong network design, not just adding more chips, may bring the biggest benefits to AI systems in the next few years.
OpenAI raises $122 billion at $852 billion valuation, largest private financing ever
OpenAI has raised $122 billion at an $852 billion valuation, the largest private funding ever, according to the company's announcement. Major investors include Amazon, Nvidia, and SoftBank, with Microsoft keeping its large stake. The money may go toward building more infrastructure and powerful AI tools, as well as expanding cloud and chip partnerships. Some reports suggest OpenAI's costs could rise very quickly, and it is not clear if future revenue will keep up with this growth. OpenAI has not said when, or if, it might go public.
RadixArk launches with $100M seed round to expand open-source AI tooling
RadixArk, a startup based in San Francisco, launched with a $100 million seed round at a $400 million valuation, which observers describe as a mega-seed. The company plans to use the money to grow its open-source AI tools like SGLang and a new managed platform, though details about customer adoption are still unclear. Investors such as Accel, Spark Capital, and tech companies like NVIDIA and AMD are involved, which may suggest strong interest in AI infrastructure. Some reports say deals of this size reflect a trend to secure resources early, but it is not certain if this funding will be enough for RadixArk's big goals. Future updates from RadixArk, such as customer numbers or partnerships, may show how well the company can meet its aim to make AI infrastructure widely available.
OpenAI gates GPT-5.5-Cyber after report flags offensive capability
OpenAI has restricted public access to its GPT-5.5-Cyber model after a report from the UK's AI Security Institute (AISI) flagged its strong offensive cyber abilities. Tests showed the model may help defenders, but could also be misused by attackers, and existing safeguards may not reliably block harmful uses. OpenAI now only allows vetted cybersecurity teams to use GPT-5.5-Cyber through a special program, and similar restrictions are being adopted by other companies. Experts suggest that the model's hacking skills appear to be a side effect of its advanced reasoning, raising concerns that future models might become even harder to control.
DeepMind AlphaEvolve Makes 23 Scientific Discoveries in Q1 2026
DeepMind's AlphaEvolve reported 23 verified scientific discoveries in chemistry, materials science, and mathematics during early 2026. The system appears to work by generating and testing algorithms, with results confirmed by experts. In chemistry, AlphaEvolve may have created quantum circuit layouts that reduced error rates by ten times compared to older methods. In materials science, some experiments suggest training and inference became about four times faster. In mathematics, AlphaEvolve discovered a way to multiply 4x4 complex matrices with fewer operations than previously thought possible, and some new mathematical bounds were also found.
DeepSeek Seeks $7.3B Funding, Founder May Invest $2.9B
DeepSeek, a Chinese AI lab, may raise up to 50 billion yuan (about $7.3 billion) in its first big funding round, with its founder Liang Wenfeng possibly investing around $2.9 billion of his own money. The company is talking with state-backed funds and big companies like Tencent to join the investment, but no major deals have closed yet. If successful, this funding round could be the largest of its kind in China's AI sector, much bigger than other recent deals. The money may be used for new computer systems and to keep engineers from leaving. Talks are still ongoing, so the final numbers might change.
Anthropic Integrates Claude Into Microsoft 365, Starting at $20/Month
Claude by Anthropic is now available as secure add-ins for Microsoft 365 apps like Excel, Word, and PowerPoint, with Outlook in public beta. Claude helps users by making suggestions and drafts in a sidebar, but changes are only made if the user accepts them. The tool may be useful for companies that need human approval for edits because it only gives read-only suggestions. Pricing starts at $20 per month, and the add-ins can be quickly installed, with options for individual or team use. Early reaction suggests some users like the reviewable, read-only approach, but it is unclear how widely it is being adopted so far.