$NET KEY READ-THROUGHS FROM CLOUDFLARE Q4 2025 EARNINGS CALL
Cloudflare’s Q4 commentary combined unusually strong enterprise execution signals (record ACV, accelerating large-customer growth, and sharply higher RPO) with a forceful macro framework that AI agents are structurally increasing Internet request volumes and shifting monetization away from seat-based software toward usage-based “rails and guardrails.” The most actionable cross-market implications cluster around 1) incremental workload and spend leakage from hyperscalers toward independent edge platforms for certain AI and multi-cloud use cases, 2) a step-function increase in bot/agent traffic driving near-term budget reallocation to application security and traffic control, 3) rising competitive intensity in Zero Trust/SASE as buyers consolidate vendors, 4) the emergence of content access control and licensing marketplaces as a new economic layer on the open web, 5) accelerating pressure on seat-based SaaS pricing power as “digital workers” substitute for human seats, and 6) increasing relevance of channel/SI ecosystems as edge/security deployments become more complex and repeatable.
CLOUD INFRASTRUCTURE AND HYPERSCALERS
EDGE PLATFORM DISPLACEMENT OF HYPERSCALERS IN AI AND MULTI-CLOUD WORKLOADS (READ-THROUGH 1)
Supporting call evidence: “A leading AI company… signing a 2-year $85 million pool of funds contract… selecting Cloudflare as their single long-term infrastructure provider with 100% traffic allocation… selected Cloudflare over major hyperscalers… for our unified stack… and… strategic neutrality.” Additional enterprise multi-cloud read-through: “A Fortune 500 technology company… leverages hyperscalers for their primary infrastructure… [but] chose Cloudflare… underscoring Cloudflare’s role as a necessary fabric for secure, performant multi-cloud operations.” Management explicitly framed spend shift: “We believe… [Workers] will shift more-and-more spend away from what people are using the hyperscalers for.” GPU economics claim used to justify displacement: “we’re… getting… as much as 10x the amount of work off of the same GPU that you might get with [a] hyperscaler,” and hyperscalers require “commit[ting] to leasing that server for an entire year” to access competitive pricing, versus Cloudflare scaling “down instantly to 0.”
Affected companies (Company Name, Ticker - Country):
https://t.co/SpqvHNUxpK, AMZN - USA
Microsoft, MSFT - USA
Alphabet, GOOGL - USA
Akamai Technologies, AKAM - USA
Fastly, FSLY - USA
Oracle, ORCL - USA
Directional impact and magnitude:
Near-term trading catalyst: Negative (small-to-moderate) for hyperscalers’ AI monetization sentiment if investors interpret the $85 million / 100% traffic allocation win as an early but real proof point of AI-native buyers seeking neutrality and flexible economics outside hyperscaler ecosystems. Mixed for edge peers: positive demand read-through, but competitive share pressure versus Cloudflare is implied by “selected… over major hyperscalers” and multiple “displace” statements.
Longer-duration fundamental shift: Negative (moderate) for hyperscalers’ pricing power in edge-adjacent workloads (CDN/WAF/serverless edge inference and traffic services) if neutrality, multi-cloud fabric, and usage elasticity become standard procurement requirements for AI-first companies. Positive (moderate) for independent edge platforms as a category (AKAM/FSLY/NET), though share may consolidate toward the platform perceived as most integrated.
Transmission mechanism:
Procurement and architecture: AI-native companies and large enterprises increasingly optimize for multi-cloud resiliency and neutrality (“strategic neutrality”), pushing traffic allocation and certain workload execution closer to the edge rather than inside a single hyperscaler control plane.
Economics and flexibility: Usage-based/elastic execution (“scale-down instantly to 0”) lowers experimentation cost versus annualized GPU/server commitments, pulling incremental spend away from hyperscaler reserved capacity constructs.
Performance/security bundling: Unified edge stack (security + performance + developer execution) reduces the need to stitch hyperscaler services and third-party point solutions, enabling displacement in “global third-party applications at-scale” use cases.
USAGE-BASED COMMIT MODELS ARE INCREASINGLY ACCEPTED IN ENTERPRISE CONTRACTS, RAISING VOLATILITY BUT EXPANDING SHARE-OF-WALLET OPPORTUNITY (READ-THROUGH 2)
Supporting call evidence: “pool of funds… was about 20% of ACV in the fourth quarter booked… up in around mid-teens for all of 2025.” Volatility explicitly flagged: “With a higher share of pool of funds, we have a higher share of variable revenue… there is some volatility… [and]… we can expect… sequentially bigger Q4 and sequentially smaller Q1.”
Affected companies (Company Name, Ticker - Country):
Snowflake, SNOW - USA
Datadog, DDOG - USA
MongoDB, MDB - USA
Elastic, ESTC - USA
Dynatrace, DT - USA
Twilio, TWLO - USA
Directional impact and magnitude:
Near-term trading catalyst: Negative (moderate) for usage-based/software infrastructure names’ near-term predictability and quarter-to-quarter “beat/miss” risk as customers increasingly prefer variable commitments and consumption-driven drawdowns, which can amplify Q4 strength and Q1 softness.
Longer-duration fundamental shift: Positive (moderate) for platforms with strong usage-based monetization because variable constructs can remove adoption friction, accelerate multi-product attach, and expand wallet share in fast-changing AI workloads where customers “may not know exactly what features they’re going to use… [or] how much.”
Transmission mechanism:
Customer budgeting behavior: Variable commitment structures encourage end-of-period consumption (budget flush) and uneven seasonality, increasing revenue volatility across the ecosystem of consumption-based vendors.
Procurement preference: As AI-related projects have higher uncertainty and faster iteration cycles, buyers rationally demand flexible capacity and multi-product access, benefitting vendors whose pricing and contracting match that uncertainty.
Investor perception: Greater variability reduces the signal content of quarterly revenue and increases reliance on leading indicators (RPO/bookings/consumption trends), impacting valuation dispersion and trading dynamics across the usage-based cohort.
NETWORK SECURITY AND SASE
AI AGENTS DRIVE A STEP-CHANGE IN BOT/SCRAPING TRAFFIC, MAKING APP SECURITY, BOT MITIGATION, AND TRAFFIC GOVERNANCE A TOP BUDGET PRIORITY (READ-THROUGH 3)
Supporting call evidence: “Over the month of January alone, the number of weekly requests generated by AI agents more than doubled across the Cloudflare network.” On customer pain: a “US media company… facing a massive increase in AI scraping, which was crushing their network and driving up infrastructure costs,” and signed a “3-year $3.1 million contract for AI Crawl Control along with application services and workers.” On AI inference economics: “Every time you run a query against an AI company, it’s pretty expensive… being able to sort out… who’s a human and who’s not… is really important,” and management described an “order of magnitude increase in the volume of queries… coming to the Internet.”
Affected companies (Company Name, Ticker - Country):
Akamai Technologies, AKAM - USA
F5, FFIV - USA
Palo Alto Networks, PANW - USA
Fortinet, FTNT - USA
Check Point Software Technologies, CHKP - Israel
Cloudflare, NET - USA
The New York Times, NYT - USA
News Corp, NWSA - USA
Shopify, SHOP - Canada
Directional impact and magnitude:
Near-term trading catalyst: Positive (moderate) for vendors with strong bot mitigation/WAF/DDoS/rate limiting and edge security capabilities as media and commerce customers react to acute cost/availability pressure (“crushing their network”). Negative (moderate) for digital publishers and some commerce properties that are slow to implement controls, due to immediate infrastructure cost inflation and service degradation risk.
Longer-duration fundamental shift: Positive (moderate-to-large) for the application security and traffic governance category as machine traffic becomes a permanent layer of demand and “who is a human” becomes a continuous control requirement. Negative (moderate) for open-web businesses whose unit economics rely on unmetered access and whose monetization assumes human attention.
Transmission mechanism:
Cost externalization: Agentic scraping shifts cost burden from AI companies to content owners and commerce sites via increased requests, bandwidth, and origin load, forcing emergency security/performance spend.
Control-plane value: Vendors that can authenticate/score/shape traffic at the edge monetize the new requirement to separate humans, agents, and malicious automation and to enforce policies (rate limits, crawl controls, caching, and bot challenges).
Budget reallocation: Security/performance spend becomes non-discretionary (“must-have”) as uptime and infrastructure costs become directly impacted by agent-driven traffic, accelerating purchasing cycles and upsell intensity for leading platforms.
ZERO TRUST/SASE CONSOLIDATION PRESSURE ON PURE-PLAY INCUMBENTS AS BUYERS PREFER UNIFIED NETWORK + SECURITY STACKS (READ-THROUGH 4)
Supporting call evidence: A “large United States government entity… signing a 2.5 year $2.2 million contract for our Zero Trust portfolio, including Access, Gateway, DLP, CASB, and email security,” explicitly “displac[ing]… [a] first-generation zero trust incumbent.” Customer quote: they were “shook by the simplicity, automation capabilities and power of our platform.” Additional adoption driver tied to agents: “People are waking up… I’ve just given my agent access to everything… a lot could go wrong… that’s exactly where… Zero Trust products come into play,” and management cited “a real uptick… even in a self-service business.”
Affected companies (Company Name, Ticker - Country):
Zscaler, ZS - USA
Palo Alto Networks, PANW - USA
Cisco Systems, CSCO - USA
Fortinet, FTNT - USA
Microsoft, MSFT - USA
Cloudflare, NET - USA
Directional impact and magnitude:
Near-term trading catalyst: Negative (small-to-moderate) for pure-play SASE and network security incumbents on incremental evidence of competitive displacement in government and multi-product bundling (DLP/CASB/email security included). Positive (small-to-moderate) for integrated platforms that can combine performance + security + developer tooling and use that footprint to cross-sell Zero Trust.
Longer-duration fundamental shift: Negative (moderate) for pure-play vendors if enterprise buyers increasingly consolidate toward fewer vendors that offer an end-to-end control plane spanning edge traffic, identity-aware access, and application execution. Positive (moderate) for platforms with breadth that reduces integration complexity and offers automation at scale.
Transmission mechanism:
Vendor consolidation: Unified suites reduce operational complexity, which becomes more valuable as agentic workflows multiply identities, permissions, and data pathways.
Distribution leverage: Platforms sitting in front of large portions of traffic can embed security controls with lower incremental friction, making “simplicity” and automation a decisive advantage in competitive bake-offs.
Procurement bundling: Inclusion of DLP/CASB/email security in a single Zero Trust deal signals bundling pressure on point solutions and narrower SASE stacks, increasing competitive intensity and pricing pressure across the category.
INTERNET ECONOMICS, MEDIA, AND SOFTWARE MONETIZATION
CONTENT ACCESS CONTROL AND LICENSING MARKETPLACES EMERGE AS A NEW ECONOMIC LAYER, WITH STRUCTURAL PRESSURE ON AD-SUPPORTED OPEN WEB MODELS (READ-THROUGH 5)
Supporting call evidence: Management described inbound from publishers and financial research: “calls not just from… the Associated Press and BBC… [and] the New York Times… [but] increasingly… from banks where their research teams are saying… AI companies… slurping all the data down and taking that intellectual property.” The monetization problem was stated directly: “AI bots don’t click on ads,” and a new model was framed: “There has to be a way for those content creators to get paid by AI companies.” Competitive landscape noted: “Microsoft and Amazon have announced content marketplaces,” but Cloudflare positioned as “trusted neutral third-party” preferred by both sides. Concrete customer case: media company bought “AI Crawl Control… to protect and eventually monetize their unique content.”
Affected companies (Company Name, Ticker - Country):
The New York Times, NYT - USA
News Corp, NWSA - USA
RELX, REL - UK
Thomson Reuters, TRI - Canada
S&P Global, SPGI - USA
FactSet Research Systems, FDS - USA
Alphabet, GOOGL - USA
The Trade Desk, TTD - USA
PubMatic, PUBM - USA
https://t.co/SpqvHNUxpK, AMZN - USA
Microsoft, MSFT - USA
Directional impact and magnitude:
Near-term trading catalyst: Positive (moderate) for premium/licensable content and data owners as enforcement tools and early marketplace structures reduce leakage and support pricing; negative (moderate) for adtech intermediaries if investor focus shifts toward “agent traffic does not monetize via clicks” and if publishers tighten access, reducing pageviews and ad inventory growth.
Longer-duration fundamental shift: Potentially large. Positive (large) for defensible proprietary data/content franchises that can gate access and extract licensing fees from model builders and agent platforms. Negative (moderate-to-large) for business models structurally reliant on human attention, clicks, and ad-driven monetization in an environment where content is consumed via agent summaries without direct site visitation.
Transmission mechanism:
Monetization disintermediation: Agents synthesize content without sending traffic, compressing ad impressions/click-through and weakening subscription conversion funnels.
Access enforcement: Crawl control and traffic governance shift bargaining power back toward content owners by restricting free scraping and requiring paid licensing.
Marketplace economics: Hyperscaler-led marketplaces create a new take-rate layer but may face trust and incentive conflicts; neutral brokers may be preferred by both AI companies and publishers, influencing where liquidity forms and who captures economics.
SHIFT FROM SEAT-BASED SaaS TO USAGE-BASED “RAILS AND GUARDRAILS” IMPLIES MULTIPLE DISPERSION AND PRICING PRESSURE FOR HUMAN-SEAT-CENTRIC SOFTWARE (READ-THROUGH 6)
Supporting call evidence: “The industry is transitioning from a business model defined by seat licenses to one where the winners are those providing the compute, connectivity, and rails and guardrails for these new digital workers at-scale.” Scale multiplier framing: “If humans looked at 5 sites… agents might look at 5,000,” and “agents never need to sleep.” Developer productivity shock: “When the cost of generating code drops to near-zero, the volume of new applications explodes.”
Affected companies (Company Name, Ticker - Country):
Salesforce, CRM - USA
ServiceNow, NOW - USA
Workday, WDAY - USA
Atlassian, TEAM - USA
Zoom Communications, ZM - USA
Okta, OKTA - USA
Datadog, DDOG - USA
Snowflake, SNOW - USA
Cloudflare, NET - USA
Akamai Technologies, AKAM - USA
Directional impact and magnitude:
Near-term trading catalyst: Negative (small-to-moderate) for seat-centric SaaS valuations if investors extrapolate a faster substitution of human seats by agents, accelerating seat optimization and pressuring net retention for vendors that have not credibly migrated to usage/outcome-based pricing. Positive (small-to-moderate) for infrastructure platforms monetizing requests, compute, connectivity, security, and observability as these become the billable units of “digital work.”
Longer-duration fundamental shift: Negative (moderate-to-large) for vendors whose pricing power is anchored to per-user seat counts if value migrates toward automated workflows and agent-executed tasks. Positive (large) for platforms that monetize metered usage and enforce policy/controls around those workflows (compute + security guardrails).
Transmission mechanism:
Budget reallocation: As agents do more work, incremental IT spend shifts from human productivity seats toward execution, governance, and observability infrastructure.
Pricing model mismatch: Fixed-seat pricing becomes less aligned with realized value and can trigger renegotiations, bundling, and price compression unless vendors shift to consumption/outcome-based monetization.
Workflow proliferation: Near-zero code generation lowers the barrier to shipping software, increasing the volume of deployed workloads and the demand for runtime infrastructure, traffic management, and security controls.
IT SERVICES, CHANNEL, AND ENTERPRISE DISTRIBUTION
EDGE + SECURITY DEPLOYMENTS BECOME MORE SERVICES-INTENSIVE, BENEFITING SIs/RESELLERS AS PLATFORM COMPLEXITY AND REPEATABLE IP INCREASE (READ-THROUGH 7)
Supporting call evidence: Channel traction was explicitly cited: channel mix “picked up to over 28.5%” (question context) and management described becoming “channel-first” to scale enterprise. The rationale was product complexity and integration opportunity: historically products were “too simple,” but now “there’s an enormous amount of complexity… integration with other products,” and with Workers “an ability for [SIs] to actually create their own intellectual property and then sell that over and over again.” Operational enablement: “publish a price list where they can quote deals without having to check with our team… in the second-half of 2025,” with expectations that “fruit” shows “through 2026.”
Affected companies (Company Name, Ticker - Country):
Accenture, ACN - USA
International Business Machines, IBM - USA
Capgemini, CAP - France
CDW, CDW - USA
Insight Enterprises, NSIT - USA
Wipro, WIT - India
Directional impact and magnitude:
Near-term trading catalyst: Positive (small) for large SIs and IT distributors through incremental attach of implementation, integration, and managed services as Cloudflare and similar platforms push more volume through channel motions and simplify partner quoting.
Longer-duration fundamental shift: Positive (moderate) if edge/security becomes a standard layer in enterprise architectures and if SIs can build repeatable vertical solutions on developer platforms (“sell… over and over again”), expanding high-margin services mix and driving pull-through of related software/hardware spend.
Transmission mechanism:
Services attach: As deployments shift from “5 minutes” onboarding to complex enterprise architectures, implementation and integration work expands, accruing to SIs/resellers.
Repeatable solution IP: Developer platforms enable partners to create reusable vertical modules (security policies, edge functions, compliance patterns), increasing partner economics and accelerating adoption.
Procurement channels: Improved partner tooling (quoting/pricelists) reduces friction and increases velocity, shifting more enterprise spend through distributors and channel-led motions.
