Cloudflare (NET) investor relations material

Growth opportunities and product cycles

• Significant growth is expected from agentic AI, with current momentum indicating the most substantial opportunities are still ahead, especially in Acts 3 and 4, which focus on AI and content monetization.

• Developer adoption is accelerating, with a 2 million quarter-over-quarter increase, and 80% of major AI enterprise infrastructure now customers.

• The company raised its long-term growth target from 40% to 50%, citing structural shifts and confidence in future opportunities.

• Media and content creator verticals, previously underrepresented, are now adopting the platform for content protection and monetization.

• Beyond 2027, expectations are set for growth to surpass the Rule of 50, driven by new product cycles.

Network architecture and AI inference

• Focus remains on AI inference rather than training, leveraging CPU and memory capacity for agentic AI workflows.

• CapEx efficiency is maintained by scaling investments with demand, deploying GPU capacity as needed across data centers.

• The architecture supports data sovereignty and privacy, enabling compliance for critical infrastructure and sovereign clients.

• The network is designed to optimize scheduling and utilization of AI workloads, improving gross margins.

Monetization and Act 4 initiatives

• Act 4 centers on enabling content creators to monetize their work through tools like bot mitigation and pay-per-crawl, with partnerships such as OpenAI to optimize web crawling.

• Monetization Gateway and Cloudflare Wallets have been introduced to facilitate autonomous transactions and content sales.

• The goal is to handle millions of small-value, high-volume transactions per second, with ongoing engineering and ecosystem efforts.

• Partnerships include Visa, Mastercard, American Express, PayPal, and Coinbase to build the necessary infrastructure.

• Monetization models are being developed with input from industry specialists and academics, aiming for a differentiated approach.