Gartner predicts 40% of AI programs will be canceled by 2027. Use Kong to unify speed, cost, and governance to win the agentic AI race.

The New Stack is a publication covering trends and technologies in cloud-native development, DevOps, and software delivery. Developers can learn about containerization, Kubernetes, and cloud computing, as well as explore topics such as microservices architecture, serverless computing, and continuous integration/continuous delivery (CI/CD) pipelines.

The New Stack

Gartner predicts 40% of AI projects will fail by 2027 due to three interconnected challenges: unsustainable velocity causing technical debt, fragmented systems eroding margins by 6-16%, and shadow AI creating security vulnerabilities. Organizations fail by treating speed, cost, and governance as separate problems with siloed teams. Success requires a unified AI connectivity platform that spans APIs, events, and agent communications with integrated governance, observability, and monetization. This approach enables automated guardrails, accurate cost forecasting, usage-based pricing, and faster deployment cycles that compound over time.

Why 40% of AI projects will be canceled by 2027 (and how to stay in the other 60%)

The three crises derailing agentic AI Infrastructure

Why solving these separately doesn’t work

AI connectivity: The unified platform approach

Kong: The foundation for an AI connectivity strategy