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Zuckerberg Thinks Meta Has an AI Advantage Because It Knows So Much About You
Meta plans $115 billion–$135 billion in AI spending for data centers and new models, aiming to advance personal super intelligence and meet rising compute demands.
- On Wednesday, Meta Platforms Inc. disclosed AI-related capital expenditures this year will be between $115 billion and $135 billion in its fourth-quarter earnings report when it beat on top and bottom lines.
- Facing capacity constraints, Meta's infrastructure ramp and data center buildouts aim to meet growing compute resource demands through 2025, Li said.
- Nearly twice last year's capex, Wang, leader of Meta's TBD AI unit, now tests Avocado, with Zuckerberg stating, `As we plan for the future, we will continue to invest very significantly in infrastructure`.
- Following the earnings, Wall Street responded positively as Meta shares, which trailed the market last year, popped as much as 10% in after-hours trading, and investors remain supportive of the strategy.
- Zuckerberg argued that Meta must develop its own powerhouse AI foundation model to avoid constraints and said, `I expect our first models will be good but, more importantly, will show the rapid trajectory that we're on`, while revenue generation and legal risks remain uncertain.
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Meta's AI Investment Surge: A Strategic Bet on Superintelligence
Meta's AI Investment Surge: A Strategic Bet on Superintelligence Meta has announced a significant increase in its annual capital expenditure as it intensifies efforts to develop artificial intelligence infrastructure aimed at achieving superintelligence. The social media titan projects spending between $115 billion and $135 billion this year, marking a steep rise from $72.22 billion the previous year.This ambitious financial commitment signals M…
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Meta's Q4 2025 results confirm the growth of social platforms, with over 3.5 billion daily users. Investments in AI infrastructure are expected to reach up to $135 billion by 2026.
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Total News Sources13
Leaning Left0Leaning Right1Center5Last UpdatedBias Distribution83% Center
Bias Distribution
- 83% of the sources are Center
83% Center
C 83%
R 17%
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