13. January 2026
Zuckerberg Unveils Ambitious Plan To Power Ai Revolution
Meta is embarking on an ambitious endeavor to establish a new organization, Meta Compute, which will be responsible for the company’s aggressive expansion of its computing infrastructure. This initiative aims to deploy infrastructure that will consume tens of gigawatts of power already this decade and scale to hundreds of gigawatts over a longer horizon.
Mark Zuckerberg announced the launch of Meta Compute on Monday, emphasizing the importance of this new organization in driving strategic advantages for the company. The establishment of Meta Compute is a significant development, as it underscores Meta’s commitment to investing heavily in its computing infrastructure. According to Zuckerberg, Meta plans to build tens of gigawatts of power this decade, with the goal of scaling to hundreds of gigawatts or more over time.
This ambitious target highlights the company’s determination to stay at the forefront of AI innovation and deployment. The leadership of Meta Compute will be jointly led by Santosh Janardhan, head of global infrastructure and co-head of engineering, and Daniel Gross, who has been tasked with developing supply chain capabilities that can deliver equipment capable of consuming gigawatts of power.
Janardhan’s role as head of global infrastructure and co-head of engineering will encompass a broad range of responsibilities, including overseeing system architecture, in-house silicon efforts, software stack, developer tools, and the buildout and day-to-day operation of Meta’s worldwide data center fleet and network. His expertise will be crucial in driving the development of scalable and efficient computing infrastructure that can support the company’s AI initiatives.
On the other hand, Gross’s focus on long-range capacity planning and developing supply chain capabilities will be essential in ensuring that Meta has a reliable and sustainable pipeline for acquiring hardware and equipment capable of handling massive amounts of compute power. His responsibilities will include defining Meta’s future compute needs, managing strategic supplier relationships, following industry dynamics, and developing planning and business models to support infrastructure expansion at multi-gigawatt scale.
The establishment of Meta Compute is a significant departure from the company’s traditional approach to data center development. In the past, Meta has focused on expanding its existing data centers and investing in incremental upgrades. However, with the rapid growth of AI and the increasing demand for compute power, the company recognizes that it needs to embark on a more ambitious journey to build new infrastructure that can support its AI initiatives.
The new organization will enable Meta to plan power, land, networking, and system architecture years in advance, rather than scaling reactively as demand rises. This proactive approach will allow the company to stay ahead of the curve and ensure that its computing infrastructure is optimized for performance, efficiency, and sustainability.
Moreover, the centralization of ownership of the full technical stack under Meta Compute will enable the organization to make hardware and software decisions together, maximizing efficiency and reducing costs. This strategic advantage will be critical in driving business success and delivering tangible economic benefits in the regions where Meta operates.
The launch of Meta Compute comes at an interesting time for the company. Despite investing heavily in AI initiatives, including a record $72 billion expenditure on its AI efforts in 2025 alone, the company’s Llama 4 model received a muted response. This lackluster performance has raised questions about Meta’s ability to compete with industry leaders like Google, Microsoft, and OpenAI.
However, the establishment of Meta Compute suggests that the company is committed to addressing these challenges head-on. By investing in its computing infrastructure and building new capabilities, Meta can position itself for long-term success and establish itself as a leader in AI innovation and deployment.
As Meta Compute embarks on this ambitious journey, it will be crucial to monitor the company’s progress and assess the impact of this new organization on its business operations. With careful planning, strategic execution, and a focus on delivering tangible economic benefits, Meta can unlock the full potential of its computing infrastructure and drive sustainable growth for years to come.
The establishment of Meta Compute marks an exciting new chapter in the company’s journey towards AI innovation and deployment. By investing heavily in its computing infrastructure and building new capabilities, Meta can position itself for long-term success and establish itself as a leader in AI innovation and deployment. With careful planning, strategic execution, and a focus on delivering tangible economic benefits, Meta can unlock the full potential of its computing infrastructure and drive sustainable growth for years to come.