The Rise of Intelition: Future of Agentic AI and Enterprise Ontology 2026

AI is evolving faster than our vocabulary can keep up. We're witnessing the birth of Intelition—a new paradigm where human and machine intelligence work together to perceive, decide, and act in real-time. According to Brian Mulconrey, this isn't just a feature; it's the organizing principle for the next wave of enterprise software.

Enterprise Ontology: The Backbone of Future of Agentic AI

In a recent shareholder letter, Palantir CEO Alex Karp argued that all market value is shifting toward chips and what he calls ontology. This refers to a shared model of objects—like customers, assets, and events—and their relationships. While most enterprises struggle with fragmented data lakes, a unified ontology is essential for agentic AI to reason across suppliers and customers rather than staying siloed in a single app.

World Models and the End of Retraining

Today's systems are moving toward durable memory. Google recently announced Nested Learning, a potential solution that layers continual learning into existing LLM architectures, which could eventually make traditional retraining obsolete. Meanwhile, Meta's chief AI scientist Yann LeCun continues to push for H-JEPA, focusing on world models that learn from video and images rather than just text.

The Personal Interface and Data Sovereignty

The third force is the personal interface. Jony Ive's acquisition by OpenAI in May 2025 signals an acceleration in dedicated AI hardware. Concurrently, Apple is developing UI-JEPA for on-device analysis of user intent, striking at the heart of today's centralized profiling models.

Web inventor Tim Berners-Lee is advocating for the Solid standard to give users control back. His company, Inrupt, recently combined Solid with Anthropic's MCP standard to create Agentic Wallets, ensuring personal control as AI systems gain the ability to act continuously.