Samsung and Broadcom signed a $200 billion memorandum of understanding in late July 2026, one of three mega-scale AI infrastructure commitments announced within days of each other.1 Nvidia and SK Hynix followed with a $500 billion memory supply deal, and a South Korea-US AI summit produced a package worth roughly $950 billion.1 The clustering signals hyperscale and sovereign capital flowing directly into AI chip and memory supply chains.
EDA leaders Cadence, Synopsys and Siemens are embedding Nvidia's agentic AI into chip design workflows, tying design-software revenue growth to the same AI buildout.2 The move puts Nvidia's technology inside the tools engineers use to design the next generation of chips, not just inside the chips themselves.
RF and analog chipmaking is consolidating in parallel. Skyworks and Qorvo announced their combined leadership team, with Skyworks CEO Bob Bruggeworth citing a partnership that has shaped integration planning "from the very beginning."3 Qorvo's Éric Baissus is among the executives named to guide the merged organization.4
Traditional semiconductor names are posting strong results alongside the AI-driven names. Vicor Corporation reported trailing twelve-month revenue of $471.7 million and net income of $136.7 million, with a market capitalization of $11.3 billion as of the July 6, 2026 close.5 The iShares Semiconductor ETF (SOXX) was up about 79% year to date and roughly 152% over one year as of June 5, 2026, reflecting broad-based sector strength beyond the headline deals.5
Together, the memory supply agreements, sovereign investment package, EDA-Nvidia integration, and RF/analog consolidation point to capital deployment across every layer of the chip supply chain at once — design software, memory, RF components, and system integration alike.
