The APIs that have been powering websites and apps created a massive market, *but* there are only up to 8 billion humans consuming them behind pixels. As LLMs are taking over the world — in the form of productized agents first — there will be 100X more machines than humans.
The internet built for agents will look very different.
Agents don't need to see, scroll, and click graphical interfaces. They can access the internet programmatically. Every company, before becoming an AI company, will become an API company. All around, above, and under us are APIs.
This new world will generate an amount of API and AI traffic (tokens) that we can't even comprehend now. Tokens will produce all software revenue in the future. We're already seeing it in our user base. The spike of traffic going through our API, Event, and AI Gateways is insane. We are starting to count in quadrillions. Hypervolumes.
There will be dozens of different new protocols for agents to talk to each other. Powered by programming interfaces, whether it's MCP, A2A, CLIs, or more. Nations will trade via APIs over stablecoins, agents will exchange labor via calls, machines are APIs, and APIs become machines.
The GUI Era will slowly fade. The Programmable Era will explode. [The Age of AI Connectivity](https://konghq.com/blog/news/the-age-of-ai-connectivity)The Age of AI Connectivity has just begun.
SiliconANGLE Media runs this annual awards program to recognize companies, technologies, and people moving the needle in B2B tech. Winners go through a review process by industry analysts and experts. Kong was recognized as the 2026 AI Innovator
[](https://konghq.com/blog/news/kong-wins-ai-innovator-of-the-year)
Built on top of Kong API Gateway, the Kong AI Gateway is designed to address key challenges in enterprise AI adoption. Modern AI applications rarely rely on a single model; instead, they orchestrate multiple GenAI providers, agent frameworks, Age
[](https://konghq.com/blog/engineering/kong-konnect-api-ai-gateway-vmware-vks)
A guide to learning how MCP registries help govern AI agent-to-tool connectivity AI agents are only as capable as the tools they can reach. When an agent needs to query a database, file a support ticket, or pull data from a CRM, it has to find the
[](https://konghq.com/blog/learning-center/what-is-an-mcp-registry)
Architecture, Use Cases, and How to Get Started Key takeaways - An MCP server is a lightweight process that exposes tools, resources, and prompts to AI applications over a standardized protocol. - It acts as the bridge between an LLM-powered clien
[](https://konghq.com/blog/learning-center/what-is-an-mcp-server)
An AI control layer is the governance and observability infrastructure that sits between AI agents and enterprise applications, handling authentication, routing, rate limiting, and auditability to ensure secure, managed access. Unlike traditional in
[](https://konghq.com/blog/enterprise/ai-agent-integration-gartner-ai-control-layer)
Together, the following components represent the three layers of the new AI platform: AI Gateway: Kong AI Gateway (including MCP support) controls both GenAI and MCP flow and orchestrates the existing services like Vector Databases, Event Streaming,
[](https://konghq.com/blog/engineering/ai-infrastructure-with-kong-and-akamai)
The Demo-to-Production Gap Production reality multiplies complexity exponentially. In production, you need: Multi-tool orchestration with different authentication methods Robust retry logic with exponential backoff and circuit breakers Performance
[](https://konghq.com/blog/enterprise/build-vs-buy-mcp-server-infrastructure)