Claude Sonnet 5 raises the bar for enterprise intelligence across key industries
Claude Sonnet 5 delivers stronger enterprise document intelligence across key industries, built for production-scale AI deployment.
AI Research
State of AI report: Overcome AI bottlenecks with a strong content foundation
How UK Northern Ireland and UK organisations can close the gap between AI adoption and real business value.
State of AI reveals what sets AI leaders apart
New research reveals what separates AI leaders from the rest — and why EMEA enterprises face a uniquely complex challenge.
Structure, classify, govern, then AI: The biopharma sequencing of trust
Why biopharma must structure, classify, and govern content before deploying AI to unlock speed, insights, and compliance.
Get the most value from your content with AI-powered digital asset management
How AI-powered digital asset management helps teams structure, govern, and activate content for smarter, faster work.
Law firms can't scale AI on fragmented content
Law firms won't unlock AI's full potential until they fix the fragmented content foundation underneath it.
AI isn’t just changing work. It’s creating it.
AI isn't eliminating jobs - it's creating entirely new ones, reshaping the workforce in ways most people aren't seeing.
Enterprise knowledge bases become core infrastructure
Why enterprises must build a shared, governed knowledge layer so AI agents operate consistently at scale.
What security leaders should take from the Fable 5 Release
Box CISO, Heather Ceylan, shares how Anthropic's Fable 5 release reshapes security strategy, access decisions, and remediation readiness for enterprise defenders.
Rethinking trust in the era of autonomous AI
Box CISO, Heather Ceylan, shares why securing multi-agent AI systems requires governing how they execute, not just what they can access.
Anthropic's Claude Fable 5 sets a new bar for enterprise content intelligence
When tested across complex enterprise use cases, Anthropic's Claude Fable 5 represents the most significant model improvement we've measured to date.
Conclusion: The leading edge is designing everyone else’s future
Chapter 7 - Conclusion of the 2026 State of AI Research report
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.
Change: Flexible architecture prevents AI lock-in
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.
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.
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…
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,…
Agentic AI is here. The leading edge is capturing most of the value
Part 1 of Box’s newly released 2026 State of AI in the Enterprise report.
Navigating the unstructured data problem: a CyberWire discussion with Heather Ceylan
How enterprises can govern unstructured data to unlock AI's potential while managing unprecedented security risks.
What automating banking onboarding actually looks like from end to end
How banks can eliminate onboarding friction and deliver the seamless, transparent client experience customers expect.