Georgian · Wave 3AI Leaders, Laggards and the Gap Between
Key Findings
  1. 1AI Is Eating Your Strategy
  2. 2The Agentic Divide Quantified
  3. 3What Makes a Runner
  4. 4The Agent Engineer
  5. 5The GTM Efficiency Gap
  6. 6AI Meet P&L
  7. 7The Governance Gap
  8. 8The Human Side of the AI Stack
Benchmarks
  • AI Strategy
  • R&D
  • GTM
  • Cybersecurity
  • Talent & Operating Model
  • Sample Profile
Methodology

Benchmarks

The Wave 3 benchmark reference

Every benchmark behind the report — strategy, R&D, go-to-market, security, and talent — with the survey question, base, and data for each measure.

  1. AI StrategyMaturity, priorities, models, infrastructure, and ROI — the strategic baseline benchmarks for the full sample.
  2. R&DUse-case penetration, agentic coding, spend, engineering metrics, the model stack, AI resourcing, and the cost picture for technical teams.
  3. GTMWorkflow dependence, tool enablement, use-case adoption, business impact, the GTM motion shift, and the commercial org’s AI operating model and talent mix.
  4. CybersecurityThe security side of the governance gap — adoption-versus-security balance, guardrails, incidents, threat rankings, the AI security toolchain, and how teams respond after something goes wrong.
  5. Talent & Operating ModelTalent shifts, hiring blockers, the AI operating model, workflow complexity, and agentic implementation status.
  6. Sample ProfileWho answered Wave 3 — geography, vertical, decision authority, seniority, company size, and growth rate.
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The Report

  • Overview
  • AI Is Eating Your Strategy
  • The Agentic Divide Quantified
  • What Makes a Runner
  • The Agent Engineer
  • The GTM Efficiency Gap
  • AI Meet P&L
  • The Governance Gap
  • The Human Side of the AI Stack
  • FAQ

Benchmarks

  • Overview
  • AI Strategy
  • R&D
  • GTM
  • Cybersecurity
  • Talent & Operating Model
  • Sample Profile

Methodology

  • Overview
  • Methodology
  • Definitions
  • Data sources

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