Anthropic builds dedicated energy team as AI compute demands surge
Anthropic has hired three energy and data center specialists in recent months to manage the infrastructure demands of large-scale AI development. The company is assembling a dedicated energy team to oversee its global data center strategy, drawing talent from Google, the U.S. Department of Energy, and the data center development sector.
Sana Ouji joined as Energy Lead in April 2026, bringing more than 15 years of experience in energy transactions and commercial structuring. At Google, she spent six-plus years developing data center clean energy strategy across the East Region, Latin America, and strategic partnerships.
Ariel Horowitz joined several weeks earlier as Anthropic's first dedicated energy hire. She previously served as Deputy Director for Grid Modernization at the Department of Energy, where she led a division of around 40 staff and directed the $10.5 billion Grid Resilience and Innovation Partnerships program.
That program funded smart grid technology, grid modernization, and transmission expansion nationwide. Under her leadership, it expanded to include AI-assisted interconnection improvement and grid-flexible data center development. She also oversaw a $2.5 billion formula grant program for states, territories, and tribes.
Before the Department of Energy, Horowitz spent more than five years at the Massachusetts Clean Energy Center as Senior Program Director, overseeing clean transportation and net zero grid programs. She served as the state's in-house expert on electric distribution system planning and utility decarbonization.
Tim Hughes joined in February 2026 to lead leasing, land, and energy. He describes his background plainly: "I've spent about a decade and a half figuring out where to put large buildings full of computers and how to get enough electricity to them."
At STACK Infrastructure, Hughes served as Chief Development Officer, building and running a large development team. He oversaw more than 200MW of critical capacity across hyperscaler projects, with capital deployment cycles exceeding $1 billion over five-plus year horizons.
Earlier, he ran his own project consulting firm focused on data center and network acquisition. His career also included more than eight years at Facebook, where he managed site operations, technical program management, and site selection. He led data center expansion projects totaling over 250MW across the U.S. and Europe, including deployment of Facebook's first long-haul dark fiber network connecting its Sweden data center.
On the differences between his previous roles and AI compute infrastructure, Hughes is direct: "same thing for AI compute, things are denser, and need more power; faster."
Ouji brings origination and commercial structuring experience from Lightsource BP and NRG Energy. She has executed complex transactions across data center infrastructure and energy technologies.
The formation of a dedicated energy team signals that Anthropic treats power access and grid strategy as a core operational function. As AI model training and inference workloads pressure energy supply chains and interconnection timelines, the team's depth-spanning federal program delivery to hyperscale buildout-positions the company to move quickly on infrastructure at a moment when grid capacity has become a primary constraint on AI development.
For IT and development professionals managing infrastructure at scale, understanding how companies approach energy and data center strategy is increasingly relevant. Learn more about AI infrastructure and DevOps considerations for managing compute demands, or explore infrastructure strategy resources for technology leaders.
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