{"id":178769,"date":"2026-01-15T15:21:00","date_gmt":"2026-01-15T20:21:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/01\/15\/blackrock-says-ai-partnership-raises-12-5b-toward-30b-goal\/"},"modified":"2026-01-15T15:40:09","modified_gmt":"2026-01-15T20:40:09","slug":"blackrock-says-ai-partnership-raises-12-5b-toward-30b-goal","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/01\/15\/blackrock-says-ai-partnership-raises-12-5b-toward-30b-goal\/","title":{"rendered":"BlackRock Says AI Partnership Raises $12.5B Toward $30B Goal"},"content":{"rendered":"

BlackRock Says AI Partnership Raises $12.5B Toward $30B Goal<\/a><\/p>\n

https:\/\/www.pymnts.com\/news\/artificial-intelligence\/2026\/blackrock-says-ai-partnership-raises-12-billion-dollars-toward-goal\/<\/a><\/p>\n

Publish Date: 2026-01-15 15:21:00<\/a><\/p>\n

Source Domain: www.pymnts.com<\/a><\/p>\n

Certainly! Here are the key points from the article, presented as an unordered list:<\/p>\n

– BlackRock has successfully raised $12.5 billion in its artificial intelligence partnership with Microsoft, bringing them closer to their $30 billion funding goal.
\n– The partnership, formed in 2024, includes other prominent entities such as Nvidia, xAi, and the MGX investment group from the United Arab Emirates.
\n– The partnership aims to pull in $30 billion in private equity capital and mobilize up to $100 billion for infrastructure projects through various financing methods, including debt.
\n– BlackRock’s CEO, Larry Fink, emphasized the continued attraction of significant capital to the initiative during a fourth-quarter earnings call.
\n– Microsoft views the partnership as a way to power sustainable AI infrastructure development, as per comments from Microsoft’s Chairman and CEO Satya Nadella.
\n– In October, the group acquired Aligned Data Centers from Macquarie Asset Management for $40 billion, marking the largest data center acquisition in history.
\n– Recent research from Switzerland’s EPFL suggests that AI does not always need massive data centers to scale; smaller models and localized data can handle many enterprise tasks effectively.
\n– Studies from EPFL and Nvidia indicate that smaller language models can fulfill 70% to 80% of enterprise needs, which could reduce the demand for immense centralized data centers. <\/p>\n

For more detailed information, please refer to the original source or Bloomberg\u2019s report.
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