AI Research

Capability: AI changes work, teams, and roles
Capability: AI changes work, teams, and roles

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.

Governance makes scale possible
Control: Governance makes scale possible

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.

SAI Part 3
Context: Enterprise content becomes the AI bottleneck

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…

SAI 2
The maturity gap: Leaders operationalize agents differently

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,…

FDE Interview
The model is rarely the problem

Two Box AI architects on what it actually takes to make AI work inside a business — and why that's becoming a job of its own.

Moving at machine speed
Moving at machine speed

Box CISO, Heather Ceylan, shares how AI-powered attackers are now moving faster than defenders can patch, demanding a machine-speed security strategy to stay ahead.