Agentic AI is here. The leading edge is capturing most of the value

Utah State University is using Box Extract to transform how the institution manages financial documentation across 55 campuses.

Box CISO, Heather Ceylan, shares why securing multi-agent AI systems requires governing how they execute, not just what they can access.

How AI-native teams can build a governed, shared knowledge base that both humans and agents operate from together.

A guide to building the data, governance, and execution foundations that move enterprise AI from pilots to production.

When tested across complex enterprise use cases, Anthropic's Claude Fable 5 represents the most significant model improvement we've measured to date.

Chapter 7 - Conclusion of the 2026 State of AI Research report

TL;DR: The forecast is that AI shrinks the workforce. The organizations furthest into AI expect the opposite — and the roles theyʼre adding barely existed two years ago.

TL;DR: The tools will keep changing, so the leading edge refuses to bet on which one wins. It builds headless, runs multiple models, and keeps every part swappable.

TL;DR: Governance is not the brake on distributed AI. Done right, it is what makes scaling it survivable. Almost everyone believes better governance would help them move faster over time. Far fewer have built governance models fit for agents.

TL;DR: Agents are only as good as the content they can reach. 96% of organizations know it; 36% have wired it up. The 2026 bottleneck isn't model capability. Instead, it's making enterprise knowledge accessible, usable, and trustworthy for the agents…

In twelve months, AI has spread across every function, and beyond the reach of any single team. The value is real and it arrives fast — half of organizations see measurable impact within six months. But it concentrates at the top of the maturity curve,…

Part 1 of Box’s newly released 2026 State of AI in the Enterprise report.