Applied Materials CEO Gary Dickerson said the semiconductor industry is currently experiencing the strongest period in its history.

This surge reflects a fundamental shift in global technology infrastructure. As artificial intelligence integrates into more consumer and industrial products, the demand for the specialized equipment used to build these chips has reached an unprecedented scale.

Speaking during an interview on CNBC’s ‘Mad Money’ program, Dickerson said AI is driving a multi-year expansion in semiconductor manufacturing demand [3]. He said the current environment is the greatest time in the history of the industry [1].

The optimism follows the company's fiscal second-quarter earnings report released May 14, 2024 [5]. Applied Materials has set a Q3 revenue forecast of $8.95 billion [2], with a non-GAAP earnings per share (EPS) forecast of $3.36 [3].

To support this growth, the company unveiled a new co-innovation partnership with TSMC. This collaboration is centered at the new EPIC Center in Silicon Valley, a facility with a cost of $5 billion [1]. The center aims to accelerate the development of next-generation chip technologies through closer integration between equipment suppliers and manufacturers.

Dickerson said that the broader semiconductor equipment market continues to show aggressive momentum. Forecasts suggest equipment growth will exceed 30% for 2026 [4]. This growth is not merely a short-term spike but a structural increase in how chips are designed and produced to meet AI requirements.

"The semiconductor industry is experiencing its strongest period ever," Dickerson said [2].

This is the greatest time in the history of our industry.

The aggressive investment in the $5 billion EPIC Center and the projected 30% growth for 2026 signal that the AI boom is transitioning from a software-driven trend to a massive hardware infrastructure build-out. By partnering directly with TSMC, Applied Materials is attempting to lock in the manufacturing standards for the next generation of AI chips, moving the industry toward a more integrated, co-dependent model of innovation.