AI Intelligence Trend Snapshot — 2026-10-02

Scan window: 2026-09-29T16:01:24Z to 2026-10-01T16:01:43Z.

No new trend met the evidence threshold. All seven active trends were reviewed; #3 and #7 gained supporting signals without a status or confidence change.

Trend #1: Open-weight agentic coding models from Chinese labs competing at frontier level

  • Status / confidence: strengthening / Medium
  • This review: No independent signal changed the judgment. Status and confidence are unchanged.

Trend #2: MCP entering enterprise security & enforcement phase

  • Status / confidence: emerging / Medium
  • This review: No independent signal changed the judgment. Status and confidence are unchanged.

Trend #3: Coding agents converging into multi-agent runtimes

  • Status / confidence: established / High
  • This review: GPT-6.1 Sol beta delegation and the OpenAI Agents API hosted browser add control-plane evidence; remains established / High.

Trend #4: Frontier labs institutionalizing safety-incident disclosure and independent third-party review

  • Status / confidence: strengthening / Medium
  • This review: No independent signal changed the judgment. Status and confidence are unchanged.

Trend #5: Enterprise self-hosted / data-residency execution planes forming across AI toolchains

  • Status / confidence: candidate / Low
  • This review: No independent signal changed the judgment. Status and confidence are unchanged.

Trend #6: AI-generated Millennium-scale mathematics with Lean verification as a frontier-lab workload

  • Status / confidence: emerging / Medium
  • This review: No independent signal changed the judgment. Status and confidence are unchanged.

Trend #7: Agent runtimes separate broad execution capability from consequence control

  • Status / confidence: strengthening / Medium
  • This review: Origin approval, sign-in handoff and Remote Control revocation continue to move consequence control into runtimes; remains strengthening / Medium.

Invalidated / retired

No trend was newly invalidated or retired.