Fastly's Compute Revenues Surge: Is AI Demand Powering Growth?

Fastly’s Other revenues rose 67% year over year to $8 million in Q1 2026, including a record $1.6 million sequential increase, as AI-related demand lifted Compute traction. Management said customer interest is building around LLM interoperability, agentic AI, and edge inference, though it still views many opportunities as early-stage. The article also highlights supportive AI-driven demand trends for Akamai and Cloudflare, while Fastly’s shares are up 115.6% over the past year.

Analysis

Fastly’s signal is less about current revenue scale and more about option value: edge compute is moving from a feature add-on to a workload destination, and AI inference makes that shift economically legible. The first-order beneficiaries are the vendors that can sit closest to the end user and bundle routing, security, and execution into one stack; the second-order loser is any hyperscale model provider whose economics worsen when every token or agent action must traverse centralized cloud regions. If AI agent traffic keeps compounding, the market will likely re-rate the whole edge cohort on a bigger TAM than legacy CDN multiples imply.

The key nuance is that this remains a prototype-to-production transition, not a full demand inflection. Enterprises exploring agentic workflows usually over-index on latency and under-index on orchestration, governance, and cost control; that means adoption can be lumpy and easily delayed by procurement or integration friction. The near-term catalyst path is sequential evidence of larger deployments converting from pilots into recurring usage over the next 2-4 quarters, while the main reversal risk is that AI inference economics remain too unstable for broad production rollout outside a handful of lighthouse customers.

Relative positioning still looks asymmetric. Fastly is the smallest and most operationally leveraged of the trio, so it should show the highest beta if edge AI proves durable, but it is also the most vulnerable if growth fails to broaden beyond a few enterprise wins. Akamai has the best mix of scale and monetization visibility, while Cloudflare likely captures the broadest developer mindshare; the market may be underestimating how much of the next leg is a share-shift story, not just TAM expansion. That creates a scenario where the strongest stock performance could come from whichever name proves it can turn AI traffic into durable gross profit dollars, not just headline usage.

Key Decisions for Investors

• Long FSLY into the next 1-2 earnings prints as a high-beta call on edge AI adoption; size smaller than AKAM/NET because upside is convex but execution risk is highest. Use a 6-9 month horizon and trim if sequential 'Other' revenue growth decelerates materially.
• Preferred relative value: long AKAM / short FSLY for a 3-6 month window if you want AI infrastructure exposure with lower balance-sheet and customer-concentration risk. AKAM should monetize enterprise demand with less multiple fragility if the AI pipeline converts more slowly than expected.
• If seeking broader AI-edge exposure, long NET vs short a basket of legacy CDN/edge names on a 6-12 month horizon. The thesis is that developer adoption and agentic traffic should continue compounding even if near-term revenue capture lags.
• For options, buy 6-month out-of-the-money FSLY calls financed by selling higher-strike calls if implied volatility is elevated. This expresses upside from a step-up in enterprise deployments while limiting premium burn if the current trend stays pilot-heavy.
• Set a hard stop on FSLY relative longs if management commentary shifts from 'co-innovation' to longer deployment cycles or if AI-related usage does not convert into broader platform revenue within two quarters; that would indicate the market is paying for a narrative without monetization.