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Samsung Electronics and several affiliates, including Samsung C&T, SDS, SDI, Life Insurance and Fire & Marine Insurance, will together invest $1 billion in Helix Digital Infrastructure. Helix, launched in June by KKR and backed by Nvidia, the Kuwait Investment Authority and Vistra, focuses on data centers, power generation and fiber networks, and has already secured more than $10 billion in commitments.
Samsung has committed $1.0 billion to Helix Digital Infrastructure, a platform backed by KKR and Nvidia. The investment brings Helix's total secured capital to more than $11 billion.
We Make Indiana, a coalition of 25 nonprofits, faith groups and civic organizations near South Bend, sought funding from Microsoft under the company's publicized commitment to invest in local nonprofits near its AI data centers. According to Ars Technica's reporting, Microsoft's community liaison did not commit to providing the requested support, leaving the group without the promised backing.
Despite the U.S.-China AI rivalry, some Chinese companies are pursuing business in America's booming AI data center sector. Brightray, an AI infrastructure firm whose sole manufacturer is China's PrefabDC, says U.S. demand outpaces China's, where AI data center numbers trail far behind—449 versus 5,427 in the U.S. as of 2025, per Stanford HAI data. U.S. tech giants are projected to spend roughly $765 billion on AI infrastructure this year, dwarfing China's five-year, $295 billion government commitment to data center buildout.
Google will launch a prototype satellite to test how its Tensor Processing Units perform in orbit, part of Project Suncatcher, a research effort first announced last year. The initiative explores whether satellites in low Earth orbit, which can access near-constant sunlight and generate far more solar power than on Earth, could eventually host machine learning infrastructure.
Data Center Watch, a research initiative from 10a Labs, reports that 45 large-scale data center projects worth $68 billion were blocked or delayed in the second quarter due to community pushback. The group tracked 843 opposition groups across 49 states, with only Hawaii lacking any organized resistance, and noted 30 state legislatures have introduced or passed measures on data center siting, power and water use.
A financial presentation seen by the Financial Times shows OpenAI expects to spend $278 billion more than it earns between 2026 and 2030, driven mainly by $856 billion in compute and infrastructure costs. Even as revenue is projected to jump from $36 billion in 2026 to $350 billion in 2030, spending will still outstrip income by a wide margin. The figures were reportedly shared with investors ahead of OpenAI's anticipated IPO.
Bain Capital Ventures has closed a new $1.6 billion fund, up 14% from its prior $1.4 billion vehicle raised three years ago. The firm plans to deploy the capital mainly into AI-focused startups, targeting infrastructure, healthcare, physical AI, and security as key sectors it believes will define what it calls the 'post-AGI era'.
Langdock, a Berlin-based enterprise AI platform serving roughly 13,000 organisations, has dismantled its US holding company and reorganised into a Societas Europaea registered in Germany. The switch, which began in early 2026 and cost several million euros, reverses the common practice among European startups of setting up US parent entities to attract investors.
A new report from the nonprofit Basel Action Network estimates that AI infrastructure will generate far more electronic waste than previously projected, potentially amounting to enough discarded material to fill 23 million shipping containers by 2050. Unlike earlier estimates that only counted servers and GPUs, this analysis includes power supplies, cooling systems, backup power, and networking equipment tied to data centers, plus a category BAN calls 'AI Waste Contagion.' The group attributes 15-20 percent of the world's projected 211 million metric tons of annual e-waste by 2050 to AI-related infrastructure.
In an interview, a Syensqo executive described a 'performance pyramid' framework, where commodity materials sit at the bottom and high-performance specialty materials sit at the top. He explained that AI's rapid advancement is piling on technical requirements—heat tolerance, purity, electrical performance, chemical and plasma resistance, long-term stability—that push semiconductor and data center materials toward the top of that pyramid, an area where Syensqo focuses its work.
The U.S. Department of Defense is reportedly negotiating a $5 billion loan to Fluidstack, a company that builds AI computing infrastructure. The deal is being advised by a bank founded by Palmer Luckey, a prominent early backer of Donald Trump.