Applied Materials (AMAT) Bernstein 42nd Annual Strategic Decisions Conference summary
Event summary combining transcript, slides, and related documents.
Bernstein 42nd Annual Strategic Decisions Conference summary
28 May, 2026Industry trends and AI-driven demand
AI is driving a multi-year growth cycle in semiconductor equipment, with demand for chips, wafers, and tools at unprecedented levels, especially in leading-edge foundry logic, DRAM, and advanced packaging, which together account for over 80% of incremental WFE spending projected for 2026 and beyond.
AI is also transforming internal operations, accelerating product development, and increasing service engineering productivity, with new multi-billion dollar products expected to launch faster using AI technologies.
Agentic AI and physical AI are expected to further increase computing demand, with data center wafer starts projected to surpass smartphone wafer starts next year.
Segment-specific innovations and growth
In foundry logic, innovations like gate-all-around, backside power, and stacking transistors (CFET) are increasing revenue per wafer start by about 30%, with Applied capturing over 50% of available markets as these architectures are adopted.
DRAM demand is surging due to AI, with HBM DRAM requiring up to four times more wafers than standard DRAM; Applied has gained 10 points of market share in DRAM over a decade and is positioned for further gains as new architectures like 4F² and 3D DRAM are adopted.
Advanced packaging is experiencing over 50% growth this year, driven by the need for higher I/O density and larger package sizes for AI, with Applied leading in enabling new packaging architectures and deep customer engagements.
Customer collaboration and technology roadmap
The EPIC Center enables high-velocity co-innovation with major industry partners, accelerating time to market for new chip and packaging architectures, with projects spanning up to 10 years into the future.
Applied's deep integration with customer R&D provides unmatched visibility into technology roadmaps and allows for optimized R&D investments and secure, parallel innovation.
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