Gigascale Capital has closed a $250 million institutional fund aimed at companies working to rebuild the physical foundations of the economy, marking one of the largest dedicated hard tech vehicles raised by a first time fund this year. The firm was founded by a former Chief Technology Officer at a major technology conglomerate, where he oversaw infrastructure at a scale few executives in the industry have matched. That background now underpins the firm's pitch to limited partners.

The fund's mandate is narrow by design. Gigascale will invest in businesses building energy infrastructure, advanced manufacturing capacity, new materials and robotics, rather than software applications layered on top of existing systems.

The founder's thesis rests on a contrarian read of the artificial intelligence boom. As AI tools make it cheaper and faster to write code, he argues, software stops being a defensible business on its own. A competitor can now replicate a digital product in a fraction of the time and cost it once took, which erodes the advantage that justified years of venture capital flowing into apps and platforms. In his view, the moat has moved. Physical assets, things that take years to permit, build and operate, cannot be cloned by a language model overnight. A factory, a power plant or a proprietary materials process carries a kind of durability that code no longer offers.

This reasoning shapes where Gigascale puts its money. The firm is targeting companies that sit underneath the software layer: those generating power, manufacturing components, developing materials science breakthroughs or building the robotic systems that automate physical labour. These are capital intensive businesses with long development timelines, a profile that much of the venture industry has historically avoided.

Central to the firm's pitch is a forecast about supply and demand. The founder has pointed to the scale of power and computing capacity required to sustain the current pace of AI development, warning that existing energy grids and industrial infrastructure were not built for this level of demand. Data centres alone are projected to consume a growing share of national power output within the decade, and the manufacturing base needed to supply chips, batteries and grid components has not kept pace.

Gigascale frames this gap differently to how most analysts discuss it. Rather than treating the looming shortfall as a constraint on growth, the firm presents it as the investment opportunity of a generation, a chance to fund the overhaul of energy systems and industrial capacity before the crunch fully arrives. Money deployed now, the thinking goes, captures the rebuilding of infrastructure that the AI era will require regardless of which software companies ultimately win.

The firm's leadership reflects this orientation. The founding partners bring backgrounds in climate focused investing and deep tech venture work, fields that have spent years underwriting long horizon, capital heavy bets that mainstream venture capital often passed over. That experience matters for a fund built around physical infrastructure rather than digital products.

Gigascale is not starting from zero. The firm has already made more than 25 investments, a track record that gave limited partners something concrete to evaluate before committing capital to the new vehicle. Notably, the first 22 of those bets were funded entirely through the founder's family office, before any outside capital was raised. That decision was deliberate. Venture capital has long carried a stigma that hardware investing does not pay off, that the capital requirements and timelines make returns too slow and too uncertain compared with software. By self funding the early portfolio, the founder set out to test that assumption with his own money before asking institutional investors to follow.

The result is a fund that arrives with evidence rather than just conviction. Gigascale's close adds to a broader shift now visible across parts of the venture industry, as a growing number of investors move away from purely digital portfolios and toward the physical constraints, energy, materials and manufacturing capacity, that the current technology boom is beginning to expose.

‍