Also Read: Your wall outlet may be obsolete: this compact power strip adds USB-C and USB-A charging without filling the room with adapters<\/a><\/h4>\n<\/div>\n<\/div><\/div>\n<\/div>\n\n\n\nReuters reported that Musk is seeking leadership changes and $150 billion in damages from OpenAI and Microsoft, one of the company\u2019s largest investors.<\/p>\n\n\n\n
OpenAI rejects that framing. Its lawyers have argued that Musk is trying to regain influence over a company he left in 2018, while also running his own AI competitor, xAI.<\/p>\n\n\n\n
The courtroom has already seen some sharp moments. Musk testified that he did not read the \u201cfine print\u201d of a 2017 term sheet connected to OpenAI\u2019s move toward a for-profit structure, saying he had only read the headline.<\/p>\n\n\n\n
Why the nonprofit fight matters<\/h2>\n\n\n\n
OpenAI<\/a> says it was founded in 2015 as a nonprofit, then created a for-profit subsidiary in 2019 to help scale research and deployment. The company also says that the for-profit business has always been governed and controlled by the nonprofit.<\/p>\n\n\n\nThat is the heart of the dispute. Musk says the public-interest mission was pushed aside. OpenAI says the structure was needed because advanced AI takes enormous amounts of money, talent, and computing power<\/a>.<\/p>\n\n\n\nSo what is really at stake? Not just one board seat, one old promise, or one billionaire\u2019s memory of what happened in 2017. It is the model for how a technology that could touch schools, hospitals, businesses, cybersecurity, and critical infrastructure gets built.<\/p>\n\n\n\n
The energy question<\/h2>\n\n\n\n
AI does not float quietly in \u201cthe cloud.\u201d It lives in data centers, which need constant power, cooling, chips, backup systems, and grid connections.<\/p>\n\n\n\n
The International Energy Agency says global electricity use from data centers is projected to double to around 945 terawatt-hours by 2030. By the agency\u2019s estimates, data center electricity consumption is growing much faster than demand from most other sectors, while accelerated servers driven mainly by AI adoption are projected to grow even faster.<\/p>\n\n\n\n
\n\n\nAlso Read: The company that brought back dire wolves has a new target: a blue antelope hunted to extinction more than 200 years ago<\/a><\/h4>\n<\/div>\n<\/div><\/div>\n<\/div>\n\n\n\nThat matters for everyday life. When a region is already dealing with summer heat, air conditioners, and higher electric bills<\/a>, adding huge new power loads is not a small detail. It can become a local political issue very quickly.<\/p>\n\n\n\nClean power is not automatic<\/h2>\n\n\n\n
There is some good news. The IEA says renewables<\/a> are expected to meet nearly half of the additional electricity demand from data centers over the next few years.<\/p>\n\n\n\nBut there is a catch: the same analysis says natural gas and coal together are still expected to supply more than 40% of the additional electricity demand from data centers through 2030. In practical terms, AI growth<\/a> can still put pressure on emissions unless clean power, storage, and grid upgrades move fast enough.<\/p>\n\n\n\nOpenAI has also made clear that scale is part of its plan. In an April 27 statement about its Microsoft partnership, the company pointed to \u201cscaling gigawatts of new datacenter capacity,\u201d next-generation silicon, and cybersecurity work.<\/p>\n\n\n\n
Business risk gets physical<\/h2>\n\n\n\n
For years, AI risk sounded like something abstract. Bias, misinformation, job disruption, runaway systems. All of that still matters.<\/p>\n\n\n\n
But the OpenAI trial shows another layer. The AI economy is tied to physical assets, including power plants, chips<\/a>, transformers, cooling systems, and data center campuses. The IEA saysAI data centers are already facing bottlenecks involving energy supply chains, grid connections, advanced chips, and regulatory approvals.<\/p>\n\n\n\n![\"A](\"https:\/\/okdiario.com\/techy\/en\/wp-content\/uploads\/2026\/03\/tesla-solar-manufacturing-equipment-china-export-rebate.jpg\" "\\"\\"")
Tesla and xAI CEO Elon Musk testified that artificial intelligence is a “double-edged sword” that could either solve all diseases or pose an existential threat to humanity.<\/figcaption><\/figure>\n\n\n\nThat turns AI governance into an environmental question, too. A company\u2019s legal structure can affect who makes investment decisions, who answers to the public, and who carries the burden when infrastructure strains local communities<\/a>.<\/p>\n\n\n\nWhat comes next<\/h2>\n\n\n\n
The trial began on April 28 in Oakland and is expected to last several weeks, with testimony expected from Altman, Brockman, and Microsoft CEO Satya Nadella.<\/p>\n\n\n\n
The jury will not decide the entire future of AI, nor will it settle every fear about safety, competition, or energy demand. But it may influence how one of the world\u2019s most important AI companies is governed at a moment when the industry is growing from software into something much larger.<\/p>\n\n\n\n
\n\n\nAlso Read: The sky could become a climate shield: researchers are testing seawater mist to make clouds reflect sunlight back into space<\/a><\/h4>\n<\/div>\n<\/div><\/div>\n<\/div>\n\n\n\nThe trouble is, the clock is moving fast. Data centers can be built in a few years, while power grids and permitting systems often move much more slowly. That gap is where the environmental stakes begin to show.<\/p>\n\n\n\n
The official announcement about audio access to the trial was published on the U.S. District Court for the Northern District of California<\/em><\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"Elon Musk\u2019s latest warning about artificial intelligence landed with the force of a movie trailer, but the fight unfolding in … <\/p>\n
That is the heart of the dispute. Musk says the public-interest mission was pushed aside. OpenAI says the structure was needed because advanced AI takes enormous amounts of money, talent, and computing power<\/a>.<\/p>\n\n\n\n So what is really at stake? Not just one board seat, one old promise, or one billionaire\u2019s memory of what happened in 2017. It is the model for how a technology that could touch schools, hospitals, businesses, cybersecurity, and critical infrastructure gets built.<\/p>\n\n\n\n AI does not float quietly in \u201cthe cloud.\u201d It lives in data centers, which need constant power, cooling, chips, backup systems, and grid connections.<\/p>\n\n\n\n The International Energy Agency says global electricity use from data centers is projected to double to around 945 terawatt-hours by 2030. By the agency\u2019s estimates, data center electricity consumption is growing much faster than demand from most other sectors, while accelerated servers driven mainly by AI adoption are projected to grow even faster.<\/p>\n\n\n\n That matters for everyday life. When a region is already dealing with summer heat, air conditioners, and higher electric bills<\/a>, adding huge new power loads is not a small detail. It can become a local political issue very quickly.<\/p>\n\n\n\n There is some good news. The IEA says renewables<\/a> are expected to meet nearly half of the additional electricity demand from data centers over the next few years.<\/p>\n\n\n\n But there is a catch: the same analysis says natural gas and coal together are still expected to supply more than 40% of the additional electricity demand from data centers through 2030. In practical terms, AI growth<\/a> can still put pressure on emissions unless clean power, storage, and grid upgrades move fast enough.<\/p>\n\n\n\n OpenAI has also made clear that scale is part of its plan. In an April 27 statement about its Microsoft partnership, the company pointed to \u201cscaling gigawatts of new datacenter capacity,\u201d next-generation silicon, and cybersecurity work.<\/p>\n\n\n\n For years, AI risk sounded like something abstract. Bias, misinformation, job disruption, runaway systems. All of that still matters.<\/p>\n\n\n\n But the OpenAI trial shows another layer. The AI economy is tied to physical assets, including power plants, chips<\/a>, transformers, cooling systems, and data center campuses. The IEA saysAI data centers are already facing bottlenecks involving energy supply chains, grid connections, advanced chips, and regulatory approvals.<\/p>\n\n\n\n That turns AI governance into an environmental question, too. A company\u2019s legal structure can affect who makes investment decisions, who answers to the public, and who carries the burden when infrastructure strains local communities<\/a>.<\/p>\n\n\n\n The trial began on April 28 in Oakland and is expected to last several weeks, with testimony expected from Altman, Brockman, and Microsoft CEO Satya Nadella.<\/p>\n\n\n\n The jury will not decide the entire future of AI, nor will it settle every fear about safety, competition, or energy demand. But it may influence how one of the world\u2019s most important AI companies is governed at a moment when the industry is growing from software into something much larger.<\/p>\n\n\n\n The trouble is, the clock is moving fast. Data centers can be built in a few years, while power grids and permitting systems often move much more slowly. That gap is where the environmental stakes begin to show.<\/p>\n\n\n\n The official announcement about audio access to the trial was published on the U.S. District Court for the Northern District of California<\/em><\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":" Elon Musk\u2019s latest warning about artificial intelligence landed with the force of a movie trailer, but the fight unfolding in … <\/p>\nThe energy question<\/h2>\n\n\n\n
Also Read: The company that brought back dire wolves has a new target: a blue antelope hunted to extinction more than 200 years ago<\/a><\/h4>\n<\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n
Clean power is not automatic<\/h2>\n\n\n\n
Business risk gets physical<\/h2>\n\n\n\n
What comes next<\/h2>\n\n\n\n
Also Read: The sky could become a climate shield: researchers are testing seawater mist to make clouds reflect sunlight back into space<\/a><\/h4>\n<\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n