Dutch semiconductor equipment giant ASML Holding N.V. posted blockbuster second-quarter results and raised its full-year 2026 revenue guidance, sending its shares sharply higher and sparking renewed excitement in AI-focused cryptocurrencies. The company now expects net sales between €43 billion and €45 billion, a 16% increase at the midpoint from its prior outlook of €36–40 billion. Q2 revenue reached €9.33 billion, easily topping analyst estimates of €8.8 billion, while net income doubled expectations at €2.92 billion.
CEO Christophe Fouquet described order intake as "extremely strong," attributing the momentum to unrelenting AI infrastructure build-out. "Ongoing AI-related investments and continued progress in AI technologies are driving demand for advanced Logic and Memory chips," he said. ASML also guided for Q3 revenue of €11–12 billion, well above consensus, with a gross margin forecast of 56%.
To meet demand, ASML plans to expand production capacity for its extreme ultraviolet (EUV) and deep ultraviolet (DUV) lithography systems by roughly 30% in each of the next two years, with a potential further 30% boost in 2028. The machines are essential for cutting-edge chips used by TSMC, Samsung, SK Hynix, Micron, and, notably, Intel, which will deploy ASML's latest High-NA EUV technology for its Panther Lake processors.
Analysts cheered the update. Bank of America reiterated a Buy rating with a €2,022 price target, noting that the new guidance implies Q4 revenue of €14.41 billion. Hargreaves Lansdown’s Matt Britzman highlighted that even factory-floor upgrade demand is pulling forward. ASML also returned capital via a €1.1 billion share buyback and declared an interim dividend of €1.88 per share.
The semiconductor boom driven by AI is widely seen as a tailwind for crypto projects tied to artificial intelligence. Tokens such as Fetch.ai (FET), SingularityNET (AGIX), Ocean Protocol (OCEAN), Bittensor (TAO), and Render Token (RNDR) could benefit from the heightened AI investment narrative, as their utility and adoption are closely linked to the expansion of AI infrastructure and services.
