Nano Nuclear, Tillman Target 2 GW for AI Data Centers by Mid-2030s

Nano Nuclear Energy and Tillman have signed a commercial framework to pursue advanced nuclear power for U.S. AI data centers. The plan targets at least 2 GW by the mid-2030s and 6 GW or more by 2040, subject to approvals and financing.

Nano Nuclear Energy and Tillman have outlined a commercial framework aimed at one of the biggest bottlenecks in the AI buildout: electricity. The agreement targets 2 gigawatts or more of advanced nuclear capacity by the mid-2030s and 6 gigawatts or more by 2040 for data-center and AI industrial zone development.

The proposed partnership links Nano Nuclear’s modular reactor ambitions with Tillman’s data-center infrastructure pipeline in the United States. If projects move from framework to binding agreements, the deal could become an early test of whether advanced nuclear can move from concept to a practical power source for hyperscale computing demand.

The announcement matters because power availability is increasingly shaping where and how AI infrastructure gets built. For developers, utilities, chipmakers, and investors, the issue is no longer just computing capacity. It is whether enough reliable energy can be secured on a timetable that matches the expansion of large-scale data centers.

Key Facts

  • Nano Nuclear and Tillman are targeting 2 GW or more of advanced nuclear capacity by the mid-2030s.
  • The framework also sets a longer-term goal of 6 GW or more by 2040, subject to project approvals and financing.
  • Tillman is expected to treat Nano Nuclear as its preferred nuclear technology provider for planned U.S. AI industrial zones.
  • The arrangement contemplates up to $100 million in milestone-based warrants to purchase Nano Nuclear common stock.
  • The framework also includes an initial restricted stock grant to Tillman with a notional value of $5 million.

Nano Nuclear data center power deal

The core of the agreement is straightforward: Tillman and Nano Nuclear intend to evaluate sites, licensing needs, commercial structures, and customer demand for future nuclear-powered data-center campuses. Nano Nuclear’s Kronos MMR Energy Systems are the intended technology platform, while Tillman would bring its development network, customer relationships, and infrastructure capabilities to the table.

The framework is non-final and depends on definitive agreements, customer commitments, financing, regulatory approvals, and site-specific conditions. That makes this more of a commercialization roadmap than a signed construction order. Even so, the scale of the targets is notable. A 2 GW pipeline would be meaningful in a market where large data-center clusters can consume power on the scale of a utility territory, and 6 GW by 2040 points to ambitions far beyond a pilot project.

Why it matters is simple: AI infrastructure requires dense, around-the-clock electricity, and traditional grid interconnection timelines are often slow. Natural gas has been viewed as a practical bridge, but long-term demand growth is reviving interest in nuclear as a dispatchable, carbon-light source that can support baseload needs. If modular reactor platforms can clear licensing and financing hurdles, they could become a strategic asset for data-center operators seeking power certainty rather than just power access.

“Power availability is becoming one of the defining constraints on the continued expansion of AI infrastructure.”

How the proposed structure would work

The framework points to an independent-power-producer-style model for qualifying projects. Under that structure, Tillman or its affiliates would finance, develop, and own project power infrastructure, while Nano Nuclear would supply reactors and fuel and support development and operations. Commercial terms would still be negotiated project by project.

That structure is important because it suggests a division of roles intended to reduce execution friction. Data-center developers generally want reliable power and predictable economics, not necessarily direct exposure to reactor operations. Reactor companies, meanwhile, need credible offtake pathways and project sponsors with land access, customer pipelines, and capital formation capabilities. A shared model can align those needs, at least on paper.

The equity incentives also deserve attention. Tillman could receive warrants to purchase up to $100 million of Nano Nuclear common stock, with most vesting tied to future binding reactor purchase commitments. The initial $5 million restricted stock grant is similarly milestone-based. For investors, that means dilution risk exists, but it is linked to commercial progress rather than being delivered entirely upfront.

Implications for Investors

For investors following the intersection of nuclear energy, AI infrastructure, and digital real estate, the agreement highlights where value may emerge next. Companies tied to power-enabling infrastructure are increasingly central to the AI trade. Semiconductor demand remains critical, but electricity availability is becoming a gating factor for monetizing that demand at scale.

For Nano Nuclear, the framework offers a potential path to commercial relevance, but it does not eliminate execution risk. The company still faces the usual advanced nuclear hurdles: licensing timelines, technology validation, capital intensity, supply-chain readiness, and customer conversion from framework to binding orders. Investors should watch for site announcements, formal purchase commitments, regulatory milestones, and more detail on the Kronos MMR deployment schedule.

For Tillman and the broader data-center ecosystem, the deal underscores that future campus development may increasingly depend on dedicated power strategies rather than conventional utility procurement alone. If nuclear-backed campuses become viable, land near planned AI hubs could gain strategic value. At the same time, delays in permitting or financing could limit how quickly these concepts translate into energized megawatts.

The broader market lesson is that advanced nuclear is moving closer to being treated as infrastructure rather than a distant technology bet. Still, the gap between proposed and operating capacity remains wide. Investors should separate headline gigawatt targets from near-term cash flow, focusing on milestone quality, counterparties, and regulatory traction.

The next phase will be defined by whether this framework produces concrete project announcements and signed reactor commitments. If it does, advanced nuclear could become a more credible piece of the long-term power stack for AI data centers in the United States.

Ultima Markets