HomeArtificial IntelligenceMeta seizes its moment to spend more aggressively in the AI race

Meta seizes its moment to spend more aggressively in the AI race

Investors cheered the plan, sending shares up more than 10% in after-hours trading

July 31, 2025 / 07:26 IST
Story continues below Advertisement
The social media giant reported second-quarter earnings on Wednesday that beat Wall Street estimates and forecast better-than-expected results for the current quarter
The social media giant reported second-quarter earnings on Wednesday that beat Wall Street estimates and forecast better-than-expected results for the current quarter

Meta Platforms Inc. is taking advantage of its lucrative advertising business and stepping up spending next year, with executives saying now is the time to seize on investment opportunities in artificial intelligence.

Investors cheered the plan, sending shares up more than 10% in after-hours trading. The social media giant reported second-quarter earnings on Wednesday that beat Wall Street estimates and forecast better-than-expected results for the current quarter.

Story continues below Advertisement

“We really believe that this is a time for us to really make investments in the future of AI, as I think it will open up both new opportunities for us in addition to strengthen our core business,” Chief Financial Officer Susan Li told investors during a call. Meta executives underscored that its evolving AI technology, which has been integrated into its ads products, is already producing “meaningful” revenue.

Meta and its big tech peers, including Alphabet Inc. and Microsoft Corp., are relying on their legacy businesses to fund their pursuits of pricey AI talent and data centers, adding billions to their spending plans with full support from Wall Street. Meta lifted the low end of its forecast for 2025 capital expenditures, while also providing early steer on 2026 spending. Meta said costs will continue to grow at an even faster pace next year — particularly as it focuses on AI infrastructure needs and the niche technical talent that can fine-tune its models.