The MarketWatch profile of Jonathan Cofsky highlights non-Nvidia enablers but understates how fabrication and energy bottlenecks shape outcomes. Primary documents such as the CHIPS and Science Act of 2022 (Public Law 117-167) allocate $52 billion explicitly for domestic semiconductor manufacturing capacity, directing funds toward facilities operated by TSMC and Intel rather than design firms. Cofsky's emphasis on one outperforming company aligns with patterns in TSMC's 10-K filings, which report that advanced process nodes for AI accelerators depend on ASML's EUV lithography equipment, a dependency documented in ASML's annual reports to Dutch regulators. Supply-chain analyses from the U.S. Department of Commerce's 2022 semiconductor survey further reveal that power delivery and cooling infrastructure account for up to 40 percent of data-center capex, an area where utilities and specialized contractors operate outside Nvidia's direct ecosystem. Multiple perspectives emerge: U.S. policy prioritizes on-shoring fabrication to mitigate Taiwan Strait risks, while European and Asian regulators focus on export controls that constrain equipment flows. These primary records indicate that AI progress hinges on coordinated infrastructure investments more than any single chip supplier, a dimension the original coverage leaves implicit.