Ceva chief executive Amir Panush wins artificial intelligence company CEO of the year award

Ceva CEO Amir Panush won the 2026 AI CEO of the Year award for his edge strategy. The company's IP now ships in over 2 billion devices annually.

Published on: Jun 26, 2026
Ceva chief executive Amir Panush wins artificial intelligence company CEO of the year award

Amir Panush, CEO of wireless connectivity and edge AI IP licensor Ceva, Inc., has been named "Artificial Intelligence Company CEO of the Year" in the 2026 AI Breakthrough Awards. The recognition, announced June 25, spotlights a strategic bet that positions the company to capture a widening slice of the distributed AI inference market - one where billions of devices must run models locally rather than in the cloud.

Strategic shift to hybrid AI

Panush based his decision on a structural change in how AI inference gets deployed. Instead of a wholesale migration from cloud to edge, he saw a hybrid model taking shape: AI processing spread across cloud and local devices, with the right model in the right place at the right time. That insight drove Ceva to align its connectivity, sensing, and inference IP into a single portfolio designed to handle the local half of that equation. The logic is straightforward - edge devices need on-device inference when power, latency, cost, or privacy rules make cloud processing impractical.

"This award reflects the dedication of the entire Ceva team and the trust our customers place in us as their IP partner," said Amir Panush, Chief Executive Officer of Ceva. "AI inference is increasingly a distributed challenge. The cloud will always play a role, but billions of connected devices need to sense, reason and act locally. We built our portfolio to address exactly that need, and the market is now moving squarely in that direction."

Portfolio and market momentum

The centerpiece of that strategy is Ceva AI Fabric, an integrated set of silicon and software IP spanning connectivity, sensing, and inference. It provides building blocks for Physical AI systems - devices that communicate, perceive their environment, and run intelligent local processing. The IP is organized into three pillars: Connect, Sense, and Infer.

The approach is converting into licensing wins. Ceva has signed more than a dozen NeuPro NPU IP deals across consumer IoT, industrial, automotive, infrastructure, and PC applications. Customers are designing these edge AI processors into next-generation products. The emerging pipeline sits on top of an existing base: over 2 billion devices incorporating Ceva technologies ship each year across consumer electronics, automotive, industrial IoT, and mobile markets.

The award signals that AI decision-making is becoming a core CEO competency, a theme explored in the AI Learning Path for CEOs. For leaders navigating distributed AI infrastructure, understanding the edge-cloud split is now a strategic requirement, not a technical side note.

Why this matters for executives and strategy

Panush's recognition is not just about a single award. It reflects a bigger shift: the edge AI market is moving from experimentation to volume, and the IP licensing model is one of the main ways to scale across hundreds of chip designs and device categories. Executives setting AI strategy should watch where the inference workload lands - not just in the cloud, but in the billions of devices that need to sense, reason, and act without a round trip to a data center. The companies that own the IP layer for that local intelligence will shape the next wave of embedded AI products.

The AI Breakthrough Awards program is run by Tech Breakthrough. Ceva's full IP portfolio is detailed at www.ceva-ip.com.


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