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Advanced reactor concepts proven decades ago were not pursued because the foundational research was stored in non-digitized, paper archives with limited distribution. This information asymmetry created a major barrier for new companies seeking to commercialize the technology.

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Everstar's founder argues the nuclear industry's core problem isn't the science, which is proven and safe. The real barrier is the "regulatory labyrinth" and millions of pages of documentation required for approval—a process problem that modern software can solve.

When a billion-dollar drug trial fails, society learns nothing from the operational process. The detailed documentation of regulatory interactions, manufacturing, and trial design—the "lab notes" of clinical development—is locked away as a trade secret and effectively destroyed, preventing collective industry learning.

The next leap for hardware—AI generating complex 3D CAD designs—is blocked by a data bottleneck. CAD files are a company's most valuable IP, so firms won't share them to train models. The solution may lie in on-premise models or starting with the hobbyist community.

Despite its potential as a 24/7 clean power source for AI, new nuclear development is stalled by a collective action problem. Utilities are engaging in "super abundant chivalry," where each company waits for another to take the immense first-mover risk on building new reactors, fearing technological hurdles and historical project overruns.

The biggest bottlenecks for the nuclear sector aren't just reactor design. The industry needs a competitive, free market for nuclear fuel and enrichment, along with a centralized national repository for waste. Solving these systemic issues is a prerequisite for startups and the broader industry to thrive.

The company's concept of underground gravity storage wasn't a new invention but a rediscovery of U.S. DOE research from the 1980s. This research was abandoned when nuclear power expansion stopped, creating a forgotten opportunity that became viable again with the rise of renewables and their storage needs.

Nuclear-grade components can be 3-10 times more expensive than their commercial equivalents. This massive markup isn't due to exotic materials but is almost entirely driven by the immense "compliance overhead" and documentation required, creating a major opportunity for software-driven cost reduction.

Large labs create a market failure by hoarding research. An internal embargo on potentially commercial work means only research deemed not valuable enough for business gets published. This adverse selection process results in a "tragedy" where the broader scientific community gets the "trash," slowing down global innovation.

The recent overheating of a 70mm IMAX projector highlights a critical vulnerability in legacy technology. IMAX can no longer build new film projectors because the original engineering blueprints are incomplete, the specialized engineers have retired or passed away, and parts supply chains no longer exist. This presents a major reindustrialization challenge for preserving high-craft, niche hardware.

Critics question whether deep tech startups are doing "novel science." However, the strategic goal is often not a new discovery, but making a proven but abandoned technology (like nuclear fission) economically viable and scalable again. This demonstrates that for reindustrialization, effective execution on proven tech can be more valuable than chasing purely scientific breakthroughs.