dotCMS

According to a June 2025 Gartner press release, by 2028, 33% of enterprise software applications will include agentic AI, up from less than 1% in 2024. A separate Gartner forecast from August 2025 projects that task-specific AI agents will be in 40% of enterprise apps as early as 2026.

The organizations best positioned for this shift are not the ones with the most AI-enabled functions. They are the ones who build their content infrastructure for use by agents.

As a visual, headless CMS built for compliance-led enterprises, dotCMS AI philosophy is designed with a two-layer architecture where the same governed content, workflows, and APIs that power your editors are exactly what autonomous agents call.

🟣 Read the full architecture brief: https://www.dotcms.com/blog/from-ai-assisted-to-agent-ready-how-dotcms-is-building-for-the-agentic-age

73% of enterprise AI deployments fail to hit projected ROI. 42% of companies abandoned at least one AI initiative in 2025. The average sunk cost per project that gets dropped is $4.2 million.

The dominant explanation is bad data. But when you look closer, the problem is almost always upstream of the data pipeline. It is content that was never structured for AI. Content that cannot be tagged, governed, or served at the speed modern experiences require.

The model is not the bottleneck. The content infrastructure is. And most enterprises will not figure that out until they have already spent the budget.

🟣 Read the full article: https://www.dotcms.com/blog/two-kinds-of-fdes-one-is-a-sign-of-progress-the-other-is-a-sign-of-failure