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AI Chipmakers Shifting From ‘Selling Shovels’ to ‘Building the Stage,’ Black Sesame CMO Says at CES

Summarized by NextFin AI
  • AI chip companies are evolving from component suppliers to platform builders, driven by the demand for integrated computing systems rather than standalone hardware.
  • Traditional chipmakers succeed by delivering chips and documentation, while AI chip firms must provide a full-stack technical foundation, including software and model research teams.
  • The core feature of AI-native hardware is computation, with future devices needing to solve problems autonomously instead of just transmitting data.
  • Demand for AI computing power is expected to grow, with every electronic device requiring computing capabilities, leading to a pyramid of shipment volumes based on computing power.

Artificial intelligence chip companies are transforming from component suppliers into platform builders, as demand shifts from standalone hardware to integrated computing systems, a senior executive at Chinese semiconductor firm Black Sesame Technologies said on Thursday.

Speaking at the “Talk to the World” forum hosted by TMTPost on the sidelines of CES2026 in Las Vegas, Black Sesame’s chief marketing officer Yang Yuxin said that while traditional chipmakers could succeed by delivering chips and documentation, AI chip companies must now provide a full-stack technical foundation.

“AI chip companies can no longer just sell chips and manuals,” Yang said. “They need to build the entire technology base — including the chip, the foundational software, the toolchain and even model research teams.”

Yang said the defining feature of AI-native hardware is its computing capability rather than its connectivity, adding that future devices must be able to solve problems autonomously rather than merely transmit data to the cloud.

“The core of AI-native hardware is computation, not connection,” he said. “Devices must be capable of thinking and acting on their own.”

Yang also outlined his view of how demand for AI computing power will evolve across the electronics industry.

“In the future, every electronic device will require computing power,” he said. “Shipment volumes will form a pyramid: the smaller the computing power, the larger the shipment volume.”

His comments reflect a broader shift in the AI hardware industry, where companies are increasingly competing on ecosystems, developer support and software integration, rather than on raw chip performance alone.

As AI models become more embedded in consumer electronics, industrial equipment and vehicles, chipmakers are under growing pressure to offer end-to-end solutions that reduce deployment complexity and speed up adoption for customers.

Explore more exclusive insights at nextfin.ai.

Insights

What are the core components of AI-native hardware?

How did traditional chipmakers operate compared to AI chip companies?

What factors are driving the shift from hardware sales to integrated systems in AI chip companies?

What role does autonomous computing play in the future of AI devices?

How is the demand for AI computing power expected to change across industries?

What challenges do AI chipmakers face in providing end-to-end solutions?

What recent trends are emerging in the AI hardware ecosystem?

How do AI chip companies differentiate themselves in the current market?

What implications does Yang Yuxin's vision have for future electronic devices?

What are the potential long-term impacts of AI-native hardware on consumer electronics?

How might the shipment volume pyramid for computing power evolve?

What controversies exist around the shift in focus for AI chipmakers?

How does the integration of AI models affect the deployment complexity for chipmakers?

What comparisons can be drawn between current AI chip companies and historical chipmakers?

What policies may influence the future landscape of the AI hardware market?

What are the essential strategies for AI chip companies to succeed in the evolving market?

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