Bank of America estimates Meta Platforms could save about $8.5 billion in 2027 by running AI workloads on its own custom MTIA chips rather than buying third-party chips. Meta plans to deploy its third-generation MTIA 450 chip and a higher-performance MTIA 500 chip in 2027, co-developed with Broadcom, targeting AI inference workloads. These chips are expected to be about 40% cheaper than third-party equivalents, significantly reducing Meta's capital expenditure, which is projected to reach $130-$145 billion in 2026. This move enhances Meta's operational efficiency and long-term returns as it expands AI capacity and infrastructure.
Meta Platforms shares are trading at USD 678.79, up 0.81% on Pluang, while Broadcom shares are at USD 348.40, gaining 2.62%. Meta's market cap stands at $1.72 trillion, reflecting strong investor interest as it plans to cut costs with its own MTIA chips. These figures are current as of Sep 17, 2026 23:11 WIB.
Meta's Zuckerberg, SpaceX's Musk, and NVIDIA's Huang each separately persuaded President Trump to abandon a proposed federal AI oversight body that could have regulated AI model deployment. They argued the oversight would favor dominant players like ...
Meta Platforms is shifting beyond its traditional advertising model by launching AI agents like Muse and expanding into cloud computing, opening new revenue streams. Despite high capital expenditures projected between $130–$145 billion, the company h...
Citi analyst Ronald Josey recommends buying Meta stock before the September 23 Connect conference, highlighting it as a near-term catalyst. The event is expected to reveal updates on Meta's AI products and glasses lineup, which could boost engagement...
Meta's growth story is shifting from just ad revenue to a high-margin AI infrastructure business, highlighted by CEO Mark Zuckerberg's comments on premium compute sales. The company is building a massive data center and expanding AI services like Met...
Mark Zuckerberg and Jensen Huang believe that market incentives and existing regulations are sufficient to ensure AI safety, with companies being liable for harm caused by their models. This contrasts with Dario Amodei and Sam Altman, who advocate fo...
