The Signal Layer: What to Build When Anything Can Be Built — Lena Hall, Akamai
AI Engineer World's Fair 2026 · 19:44
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Cloud computing, cybersecurity and content delivery
Akamai
Akamai provides cloud computing, cybersecurity and content delivery infrastructure for enterprises and developers. Akamai Cloud offers CPU and GPU compute, storage, managed Kubernetes, databases and serverless functions for running applications and AI workloads across cloud and edge locations. Its security portfolio includes Guardicore Segmentation, which maps application dependencies and uses AI to recommend communication policies. Security teams can apply granular controls across servers, containers and hybrid environments to limit attackers’ movement between workloads.
Founded in 1998 by Tom Leighton and Danny Lewin, Akamai grew out of MIT research on algorithms for routing and replicating web content across distributed servers. Leighton served as chief scientist before becoming CEO in 2013. That distributed approach also informs Akamai Inference Cloud: its AI Grid orchestration, introduced in 2026, routes inference workloads across edge, regional and core infrastructure spanning more than 4,400 locations, matching requests to compute resources based on latency, cost and performance requirements.
Akamai reported $4.2 billion in annual revenue in 2025, including $2.2 billion from security, now the majority of its business. In July 2026, it completed its acquisition of LayerX, following an approximately $205 million acquisition agreement. LayerX adds browser security and AI usage controls that work with enterprises’ existing browsers, giving security teams visibility into web interactions, prompts, uploads and SaaS use.
Explore the recordings
This is a navigation guide to the supplied Akamai recording archive, not a company history. The current catalog contains one recording. Catalog metadata associates it with Akamai; the title’s “Lena Hall, Akamai” wording should not be treated as proof of the speaker’s present-day affiliation. Likewise, the ideas below are claims made in the recording, not assertions about Akamai’s current products, strategy, or operations.
Start here: AI, product judgment, and differentiation
Watch The Signal Layer: What to Build When Anything Can Be Built — Lena Hall, Akamai. Hall’s recorded argument is that AI makes competent implementation increasingly abundant and convergent, shifting durable differentiation toward deciding what deserves to be built. Use this as the archive’s primary route for product strategy, AI-assisted development, coding agents, and evaluation limits.
Signal preservation, distribution, and trust
The same Signal Layer talk can be approached as a guide to communicating product intent. Hall describes source, organizational, and machine distortion; recommends preserving evidence, scope, and limitations across formats; and proposes testing what unfamiliar users understood. These are the speaker’s recommendations in the recording, not documented current Akamai practices.
Suggested viewing path through the talk
Follow the argument in four stages: AI as a recorded “convergence machine”; the growing distinction between graded implementation and ungraded product choices; sources of signal distortion during delegation or AI remixing; and trust as a relationship-based outcome without a complete benchmark. This path is useful for viewers interested in product judgment, go-to-market engineering, observability and reliability, or trust and adoption.
1 talk
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Affiliations reflect their AIE appearances, not necessarily current employment.