The State of AI Trust
The industry is handing real authority to AI agents. This is what the systems receiving it actually look like: 196 evidence-linked evaluations of models, agents, and MCP servers, every claim traced to a dated primary source.
68 models. 67 agents. 61 MCP servers. 5 dimensions, 0 to 100. TrustVector research, July 2026.
Act 1. The handoff
Authority is moving to agents faster than any technology transfer in enterprise history.
- of business decisions will be augmented or automated by AI agents by 2027
- ~50%of business decisions will be augmented or automated by AI agents by 2027Gartner, 2026
- knowledge workers already use AI at work, frequently through unsanctioned, bring-your-own tools
- 3 in 4knowledge workers already use AI at work, frequently through unsanctioned, bring-your-own toolsAccenture × Wharton, 2026
- of working hours are expected to be impacted by AI agents, across an 18-industry task analysis
- >50%of working hours are expected to be impacted by AI agents, across an 18-industry task analysisAccenture × Wharton, 2026
- enterprise applications will embed agentic capabilities by 2028
- 1 in 3enterprise applications will embed agentic capabilities by 2028cited in Accenture × Wharton, 2026
“Intelligence may be scalable, but accountability is not.”
The Age of Co-Intelligence, Accenture × Wharton, 2026
The consensus across industry research is that humans must stay in the lead: set direction, define boundaries, own outcomes. The question nobody answers is whether the systems being handed that authority can carry it. So we measured them.
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