
Oracle is investing heavily in building massive datacenters to rent computing capacity, particularly to AI companies, as it transforms from a software licensing company into a major cloud infrastructure provider. The company has spent hundreds of billions of dollars on this infrastructure buildout while simultaneously securing a large revenue backlog from contracts, creating a situation where high upfront capital costs will eventually be offset by future income. Wall Street has expressed concern about these massive expenditures, but Oracle's leadership argues the worst of the transition is over and that the company will begin recognizing significant revenues from these investments starting in the next fiscal year. Even if Oracle's largest customer fails, there is sufficient demand for computing capacity from other companies that the investment would likely remain profitable, since the supply of available computing resources for AI is constrained.

South Korea’s government and top tech companies are committing $1 trillion to several flagship megaprojects that could bolster global memory chip supply, build new AI data centers and spur commercial deployment of humanoid robots by 2028. The announcement comes as South Korean companies such as Samsung and SK Hynix have enjoyed record profits and stock valuations due to the AI industry’s demand for memory chips—with the subsequent supply strain leading to memory chip shortages and higher prices

The world's two largest memory chip companies vow to build more memory lab fabs as South Korea positions itself as an AI tech powerhouse country.

FERC filings show AI developers and grid operators converging on stricter readiness rules to separate real power demand from speculative projects.
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