Akami Technologies CEO details AI inference cloud push, 45%-50% cloud growth at conference


Akami Technologies logo
Akami Technologies logo

Akami Technologies (NASDAQ: AKAM) CEO and founder Tom Layton outlined the company’s growth priorities and how management is positioning the business for the AI-driven shift in Internet workloads, speaking in a discussion led by senior communications analyst Frank Luthan at the Raymond James Conference.

Layton said most of Akami’s revenue comes from securities, which he describes as 10% growth. He pointed to Akami’s “market-leading” products in areas such as web application firewall (WAF), DDoS mitigation, and bot management, and said new offerings—including API security and guardcore—are growing “very quickly.”

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In Q4, Layton said the API Security and Guardicore segments delivered $90 million in revenue, up 35% year over year, and he identified those products as key drivers of future growth. He also said that Akami is investing in AI-related security capabilities, arguing that as companies adopt more AI, it creates a significant new attack surface.

Layton pointed to cloud infrastructure services as the fastest-growing product area, saying the segment ended Q4 at $94 million, up 45% year over year. He added that the company expects to accelerate growth over the course of the year and said Akami is “seeking 45%-50% revenue growth” for its business.

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He framed Akaami’s accounting strategy as an extension of what the company was already doing in content delivery and security: placing capabilities closer to users. By placing computing logic closer to end users, he said, Akaami can deliver lower latency, improved scalability, higher reliability, and competitive pricing.

As a proof point, Layton said “all hyperscalers” use Akamai’s computing platform for mission-critical use cases despite having their own cloud platforms, because Akamai can provide better performance for latency-sensitive workloads. Examples he shared include:

  • Live video: Layton said one Hyperscaler uses Akamai for live sports streaming, in part to synchronize viewing so “everyone sees the action at the same time,” which he noted could be important for betting-related applications.

  • Ad Selection: Another hyperscaler uses Akami for ad selection, which he described as a use case where acceleration is done locally.

  • Business Activity: He said businesses rely on performance and reliability, and that rich, AI-driven user experiences can translate to higher conversion rates where speed matters.

  • Real-time tool and robotic management: Layton pointed to a large new customer with capabilities to manage fleets of robots, vehicles and automation systems that require real-time response.

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