In order to use agents or in order to use AI in IT operations, all of your systems need to be interconnected and what interconnects all of your systems is an automation platform. Interconnecting systems is only a piece of the puzzle though. There is also some well-founded concern about the autonomous AI systems we are moving towards. AI agents may make decisions and inferences, but enterprises remain hesitant to allow direct execution on production systems.
Micron's fiscal Q1 2026 results, reported December 17, 2025, were exceptional. Revenue came in at $13.64 billion, beating estimates by 5.91% and growing 56.65% year over year. Non-GAAP EPS of $4.78 exceeded the $3.9397 estimate by 21.33%. GAAP gross margin expanded from 38.4% a year ago to 56.0%, and free cash flow hit a company record of $3.91 billion.
Just for everybody's update, we finalized our agreement. We're going to invest $30 billion in OpenAI. This might be the last time we'll have the opportunity to invest in a consequential company like this.
Our custom accelerator business is progressing very well across five customers. Anthropic will soon implement one gigawatt of Broadcom-baked TPUs, and we expect the AI company plans a three-gigawatt deployment in 2027. Meta will install multiple gigawatts of Broadcom's XPU accelerators in 2027 and beyond. OpenAI will deploy over one gigawatt of compute capacity based on custom XPUs in 2027.
The end-to-end package allows companies to set up AI infrastructure in 4 to 6 months and roll out new AI models in 5 days. The package includes facility and infrastructure design, PUE, liquid cooling, and cabling. By using factory prefabrication and parallel construction, Huawei reduces the time required to install infrastructure. A project that normally takes 7 to 9 months now takes only 4 to 6 months.
Neocloud providers, which include the likes of Nscale, CoreWeave and Carbon3.ai, are having a somewhat disruptive impact on the market by making huge commitments to build out hyperscale datacentres in support of the UK government's AI growth agenda. These providers are also taking up capacity in colocation datacentres that some of the hyperscale cloud giants previously committed to renting space in, before pulling out.
OpenAI has raised $110 billion in a deal that values the startup at $730 billion, representing the ChatGPT maker's largest funding round to date and bolstering its costly push to secure more computing power and talent for AI development.
The round was led by SoftBank, with significant participation from Microsoft, Thrive Capital, and several sovereign wealth funds from the Middle East and Asia-Pacific. It arrives at a moment when enterprise AI spending has hit an all-time high globally, with Gartner projecting that worldwide AI software spending will surpass $297 billion in 2025, a 32% increase year-over-year.
The site will eventually comprise five HPE Mod Pods, which are modular datacentre pods capable of delivering 1.5mW of datacentre capability, and will be powered by electricity generated from landfill gas at the site. The Derbyshire site will go live in the second half of 2026, according to Carbon3.ai chief strategy officer Sana Kharegani.
Our goal is to provide customer choice. Nvidia has been the market leader and AMD is the other big platform company. We see a lot of that happening now. People do not necessarily see Broadcom as a long-term partner.
AI companies are duking it out for greater and greater quantities of memory chips. The problem? The industry is heavily supply-constrained. Costs have skyrocketed, products have been tied up, and some companies - especially those in consumer electronics - are increasing prices. On the AI front, Google DeepMind CEO Demis Hassabis told CNBC that physical challenges were "constraining a lot of deployment."
SPDR S&P Semiconductor ETF (NYSEARCA:XSD) offers equal-weight exposure to the semiconductor sector, a structure that amplifies both opportunity and risk. The fund has gained 43.15% over the past year as AI infrastructure spending supercharged demand for chips across the supply chain. The equal-weight structure - which gives smaller names the same influence as giants - has both amplified those gains and introduced drag from legacy players like Intel that have not kept pace with the AI cycle.
A now-staple name in the AI world, CoreWeave (NASDAQ:CRWV) is sitting on a massive $55.6 billion revenue backlog, nearly double what it had just one quarter earlier. This figure alone makes it one of the most talked-about AI infrastructure plays among retail investors. But the conversation on Reddit has shifted from excitement to caution over the past month, with sentiment cooling from bullish (~61) to neutral (~41) as traders weigh the company's execution risks against its massive growth potential.
The challenge is getting the water deep enough to generate steam. At least in the case of the Fervo trial, this involved technologies originally developed by the oil and gas industry to bore two parallel wells to a depth of 8,000 feet (2,438 meters). The rock was then fractured to allow water to pass between the two wells where it was heated to temperatures exceeding 190 degrees Celsius.
"It's not as though the data center is going away. The enterprise data center is here to stay. There's still enough spending by enterprises on servers, licensed software, and the skill sets they need to maintain and operate the environment that currently exists." The overall trend toward placing new enterprise workloads in the cloud remains firmly in place, Lovelock says, but it's not so overwhelming as to cannibalize current levels of enterprise data center deployments.
Western Digital (NASDAQ:WDC) shares have surged 65% year-to-date as the company transformed from an overlooked storage provider into an AI infrastructure powerhouse. The stock has grown significantly as investors recognized the company's pivot from consumer storage to AI infrastructure, reflecting a complete business reinvention driven by insatiable demand from hyperscale data centers. The catalyst? Western Digital announced its entire 2026 HDD production capacity is 100% sold out, signaling unprecedented demand from hyperscale AI data centers.
Snowflake Inc. ( NYSE:SNOW) provides the data cloud infrastructure that AI applications depend on, but its path to profitability remains uncertain. The company reported Q3 2026 revenue of $1.21 billion, beating estimates of $1.18 billion with 29% year-over-year growth. Product revenue reached $1.16 billion, while the company maintained a strong 125% net revenue retention rate. CEO Sridhar Ramaswamy highlighted that Snowflake Intelligence, the company's AI capabilities platform, achieved the fastest adoption rate of any product launch in company history.
