ASML Expands Beyond EUV, Launches AI‑Enabled Tools and Advanced Packaging Initiative

ASML
March 03, 2026

ASML Holding N.V. announced a strategic expansion that moves the company beyond its flagship EUV lithography systems into AI‑enabled tools and advanced packaging solutions for artificial‑intelligence chips.

The new strategy integrates artificial intelligence into both existing and future equipment and pursues advanced packaging that enables the interconnection of multiple specialized chips, a capability increasingly demanded by leading semiconductor manufacturers such as TSMC, Samsung and Intel.

Management highlighted that the initiative will broaden ASML’s revenue base beyond high‑margin EUV, strengthen its competitive moat in the AI infrastructure supply chain, and support the continued demand for advanced chip manufacturing driven by AI workloads. CEO Christophe Fouquet said, "In the last months, many of our customers have shared a notably more positive assessment of the medium‑term market situation, primarily based on more robust expectations of the sustainability of AI‑related demand. This is reflected in a marked step‑up in their medium‑term capacity plans and in our record order intake."

ASML’s Q4 2025 results showed record net sales of €32.7 billion and net profit of €9.6 billion, accompanied by a €12 billion share‑buyback program. The company guided 2026 revenue to €34 billion–€39 billion and 2030 revenue to €44 billion–€60 billion, underscoring confidence in long‑term growth driven by AI demand.

The company is also streamlining its workforce, announcing a reduction of approximately 1,700 roles to improve agility while investing in AI and packaging initiatives.

High‑NA EUV progress is evident: Intel qualified ASML’s EXE:5200B High‑NA system for high‑volume manufacturing in January 2026, validating the path toward the 2030 revenue targets.

Investors have focused on valuation concerns and China exposure, but the announcement reinforces ASML’s commitment to long‑term growth and its pivotal role in the AI chip supply chain.

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