The FCC’s Intel waiver shows that semiconductor sovereignty depends not only on chips, but also on the factory robots that move materials. The one-year exception protects continuity without creating a blanket exemption, keeping national-security controls and manufacturing resilience aligned today.
AI is finding flaws faster than defenders can patch them, while autonomous agents push past human instructions. From exposed government systems to an Anthropic model that ignored stop signs, the question is who can halt the machine—and who pays when it acts without permission or moves the money.
Thursday's AI sell-off was not about demand. It was about who pays. The Nasdaq fell 2.6 per cent, Meta unveiled non-voting shares to fund its build-out and Nvidia's Jensen Huang warned of a scarcity of capital, as OpenAI raced to close up to $30 billion at $1.25 trillion. Retracement or reckoning?
Ayar Labs has secured $500 million in a Series E round to scale its co-packaged optics technology. Backed by NVIDIA and AMD, the company is replacing traditional copper interconnects with light-based data transmission to solve the growing power and bandwidth crisis in AI data centres.
Ayar Labs has closed a $500 million Series E funding round to accelerate the production of its optical I/O technology, which aims to solve the escalating power and data bottleneck crisis in large-scale AI systems.
Ayar Labs, a US-based semiconductor company founded in 2015, develops co-packaged optics (CPO) that use light to transfer data between chips instead of traditional copper wires. The company's core products, the TeraPHY optical I/O chiplet and SuperNova light source, are designed to be integrated directly into the packages of advanced AI processors and switches.
The Update: Ayar Labs has raised $500 million in a Series E round, bringing its total funding to $870 million and valuing the company at $3.75 billion. The round was led by Neuberger Berman and included new strategic investments from semiconductor giants AMD, Alchip, and MediaTek, alongside existing backer NVIDIA. Key institutional investors such as ARK Invest, Insight Partners, and the Qatar Investment Authority also participated.
"AI infrastructure is hitting a power wall driven by interconnect inefficiency. As bandwidth demands explode, copper becomes the bottleneck, consuming too much power and limiting AI throughput per watt and per dollar. Co-packaged optics overcomes these barriers, enabling thousands of GPUs to operate as a unified system." - Mark Wade, CEO and Co-founder, Ayar Labs
The capital will be used to scale high-volume manufacturing and testing of its co-packaged optics (CPO) solutions, which replace bandwidth-limited copper interconnects with high-speed, low-power optical links. The company plans to expand its global operations, including a new office in Hsinchu, Taiwan, to meet the demands of hyperscale AI customers. The technology is critical for enabling thousands of GPUs to operate as a single, unified system, overcoming the physical limitations of copper that create performance bottlenecks and drive up power consumption in modern data centres.
In an exclusive with @WSJ, we detailed how our CPO technology is solving one of the biggest hardware issues that’s causing bottlenecks in AI and revolutionizing the way chips are connected inside server racks.
— Ayar Labs (@AyarLabs) March 3, 2026
Read more:https://t.co/QrtHhqcdX6 pic.twitter.com/ecCY5Y5qMY
Why it Matters: The significant investment from major chipmakers like NVIDIA and AMD signals strong industry conviction that optical I/O is a necessary technology for the future of AI infrastructure. As AI models grow in complexity, the electrical resistance and power draw of copper wiring become a fundamental barrier to scaling performance efficiently.
Ayar Labs' approach of integrating light-based communication directly onto the chip package addresses this power wall head-on, promising substantial improvements in data throughput per watt. This shift is not just an incremental upgrade; it represents a foundational change in data centre architecture required to sustain the progress of AI.
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The FCC’s Intel waiver shows that semiconductor sovereignty depends not only on chips, but also on the factory robots that move materials. The one-year exception protects continuity without creating a blanket exemption, keeping national-security controls and manufacturing resilience aligned today.
Hot inflation, record AI credit stress and a seven-day chip slide showed that the boom’s limit is no longer demand but the price of money. Investors are rotating rather than fleeing, and the bill is landing far from Silicon Valley.
a16z’s US$1.1 billion Machine Age Fund targets chips, memory, networking, data centres, robotics and power, arguing that AI’s next bottleneck is the physical infrastructure behind the models.
NVIDIA’s US$96.2 billion quarter and 117% growth in data-centre revenue show AI compute becoming a global industrial market, while memory constraints and China uncertainty become harder commercial limits.
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