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)
A decade ago, we set out to connect the world through APIs, which we saw as fundamental building blocks of software. Before Kong, we founded Mashape as the first API marketplace to provide an assembly line for developers building apps, and then we o
[](https://konghq.com/blog/news/the-age-of-ai-connectivity)
The Anatomy of Architectural Complexity Modern architectures now juggle three distinct traffic patterns. Each brings unique demands. Traditional approaches treat them separately. This separation creates unnecessary complexity. North-South API Traf
[](https://konghq.com/blog/enterprise/microservices-to-ai-traffic-kong-as-the-unified-control-plane)
Executive Summary AI adoption has moved past the "honeymoon phase" and into the "operational chaos" phase. As enterprises juggle multiple LLM providers, skyrocketing token costs, and "Shadow AI" usage, the need for a centralized control plane has be
[](https://konghq.com/blog/enterprise/ai-gateways-for-scalable-ai-connectivity)
Gartner's strategic planning assumption: by 2029, 50% of software application providers will be forced to share their context layer externally for third-party orchestrators to stay relevant. Today, that number is less than 2%. This isn't a gradual e
[](https://konghq.com/blog/enterprise/the-context-economy)
A Response to Gartner’s Latest Research We have crossed a threshold in the AI economy where the competitive advantage is no longer about access to data — it’s about access to context. The "context economy" has arrived, defined by a fundamental
[](https://konghq.com/blog/enterprise/the-platform-enterprises-need-to-compete)
AI agents are spreading across organizations rapidly. Each agent needs secure access to different Model Context Protocol (MCP) servers. Authentication becomes complex. Scaling creates bottlenecks. The dreaded "too many endpoints" problem emerges.
[](https://konghq.com/blog/learning-center/what-is-a-mcp-gateway)