
Tech • IA • Crypto
A U.S. jury dismissed Elon Musk’s lawsuit against OpenAI and its CEO Sam Altman as untimely, while broader debates intensify over AI investment strategies and mounting public backlash to data center expansion.
A U.S. jury ruled that Elon Musk’s claims against OpenAI and CEO Sam Altman were filed too late, ending the case after roughly 90 minutes of deliberation. The court upheld the decision, concluding the dispute on procedural grounds rather than evaluating the substance of Musk’s allegations about deviation from a charitable mission.
Investor Leopold Aschenbrenner drew significant attention with a closely watched 13F filing, reflecting a thesis that rapid AI progress will drive massive demand for compute. The filing indicated large options positions, including roughly $2 billion in exposure tied to semiconductor sectors such as the SMH ETF, alongside interest in companies like Nvidia.
Analysts cautioned that 13F filings provide only a snapshot as of March 31, 2026, omitting key details such as strike prices, hedging strategies, and short positions. Reported option values are often notional, meaning actual capital deployed may be far lower, making definitive conclusions about current positioning unreliable.
The AI buildout is increasingly tied to energy availability, with expectations of unprecedented electricity demand. While nuclear remains a long-term solution, often projected toward 2030 and beyond, shorter-term interest is growing in alternatives like solar, suggesting a more immediate diversification of power sources for data centers.
Opposition to AI data centers is expanding across political lines. Critics on the left cite job displacement and creative disruption, while concerns on the right include surveillance risks and local economic impacts. This convergence has made data center projects politically sensitive in a way earlier cloud infrastructure largely avoided.
A proposed $100 billion data center project in Box Elder County, Utah, backed by Kevin O’Leary, would span over 40,000 acres and consume up to 9 gigawatts of electricity. Developers argue it minimizes disruption by using self-generated power and existing water rights in an uninhabited desert valley.
Critics highlight potential impacts including water reallocation from agriculture and significant thermal output, with estimates of up to 23 gigawatts of total energy load including waste heat. While comparisons to “atomic bomb” energy equivalents have circulated, experts note such analogies can be misleading without context.
The tech sector faces difficulty communicating AI’s long-term benefits, particularly when those benefits remain abstract or future-oriented. At the same time, visible figures associated with projects can shape perception, with high-profile personalities sometimes amplifying skepticism.
Public unease was underscored when Eric Schmidt faced sustained booing during a university speech referencing artificial intelligence, reflecting anxiety among younger audiences about career disruption and loss of agency.
One emerging idea is to compensate local residents directly. Estimates suggest a 1.6-gigawatt data center generating $3 billion annually could distribute about $10,000 per resident per year in a small համայն, representing less than 4% of revenue, potentially shifting public support.
The dismissal of Musk’s lawsuit removes a legal overhang for OpenAI, but broader tensions around AI’s economic impact, infrastructure demands, and public acceptance continue to intensify as the industry scales.