Google Secures Multi-Year Deal Powering Apple’s Next-Generation AI Foundation Models
Google will supply its Gemini models and cloud infrastructure for Apple’s next-generation Foundation Models under a multi-year deal. This partnership secures Google Cloud’s role in powering Apple Intelligence and could boost Google’s AI revenues and data center utilization.
1. Apple–Google Collaboration for Next-Gen AI Foundation Models
On January 12, Alphabet and Apple announced a multi-year agreement under which Apple’s upcoming Foundation Models will be built on Google’s Gemini architecture and will leverage Google Cloud’s infrastructure and Private Cloud Compute environment. Apple Intelligence will continue to operate on device while preserving Apple’s privacy standards, but training and large-scale inference workloads will run on Google’s data centers. Analysts note that Google’s $4.1 trillion market capitalization and its recent 18 percent upward revision to full-year EPS estimates underscore its capacity to support Apple’s AI ambitions. This partnership positions Google Gemini as the backbone of AI services for the world’s largest consumer platform and gives Apple immediate access to advanced generative-AI capabilities without having to develop large-scale training infrastructure in-house.
2. Google Bolsters Energy and Infrastructure Expertise to Support AI Data Centers
As AI compute demand surges, Google has increased its energy-related hiring by over 50 percent since 2022, adding more than 340 specialists in energy procurement, grid interconnection, and renewable power sourcing. Notable hires include former BP regulatory advisor Eric Schubert, now leading Google’s energy policy team, and Duke University researcher Tyler Norris as head of energy market innovation. With data centers consuming about 1.5 percent of global electricity and requiring gigawatts of continuous power, Google has also announced plans to develop 10 gigawatts of renewable energy contracts over the next five years. These moves aim to secure low-cost, carbon-free power and to manage utility relationships as Google prepares to deploy thousands of additional GPUs for generative AI workloads in its U.S., European and Asian regions.