Pensacola, Florida, February 20, 2026 — Pensacola leaders are optimistic about AI, but the survey shows a quieter problem underneath: enthusiasm is moving faster than operating readiness. Across sectors, the organizations creating value are the ones that assign ownership, define KPIs, clean up data, and move pilots into real workflows.

Pensacola, Florida, February 19, 2026 — A small Pensacola workshop sample shows strong interest in AI and high confidence about the future, but the operating basics are still immature. Ownership is inconsistent, governance is weak, and KPI discipline is absent. Industry data shows why those gaps matter.

Houston, Texas, February 18, 2026 — A Houston executive workshop revealed a familiar pattern: leaders want growth from AI, but too many teams still lack clear ownership, usable data, and production discipline. Here is what the survey shows, what five sectors are doing now, and what leaders should change next.

Vancouver, Canada, February 11, 2026 — A Vancouver workshop survey reveals a consistent pattern: leaders want growth from AI, but most lack clear ownership, governance, and production discipline. Here’s what to do next.

Vancouver, Canada, February 10, 2026 — A small Vancouver workshop dataset (n=12) reveals a familiar pattern: leaders want cost reduction and growth, but skills, ownership, and governance gaps stall AI from reaching production.

Drexel Hill, Pennsylvania, February 05, 2026 — A practical read on what leaders are trying to get from AI, what’s slowing progress, and how five sectors are scaling (or stalling) right now.

Ontario, Canada, December 17, 2025 — AI is not a tool problem, it’s a leadership and capability problem. In Ontario, 37 leaders surfaced the real blockers: unclear ownership, scattered data, weak guardrails, missing KPIs, and pilots that never reach production. Here’s a practical 30-day framework to move from experiments to measurable customer experience and growth gains.

Lake Oswego, Oregon, December 11, 2025 — Executives don’t need more AI hype. They need a path. From a GPS Summit workshop, 5 blockers surfaced: unclear ownership, siloed data, weak guardrails, slow execution, and no AI KPIs. Here’s a simple 30-day pilot framework to turn customer insights into measurable results without breaking trust, quality, or culture.

Portland, Oregon, December 10, 2025 — Portland leaders were clear: the best AI strategy is the one that makes work easier, not busier. From 13 responses, the biggest gaps were unclear ownership, siloed data, weak guardrails, and missing KPIs. Here’s a practical 30-day pilot framework to turn customer insights into measurable outcomes while protecting trust and customer experience.

Tualatin, Oregon, December 9, 2025 — CEOs want AI that makes leadership easier, not busier. From a Tualatin session, nine leaders surfaced the real blockers: unclear ownership, slow decision cycles, “almost ready” data, weak guardrails, and missing KPIs. Here’s a practical 7-day-to-30-day plan to run a safe pilot that ends in a decision and improves customer experience.

Cincinnati, Ohio, November 13, 2025 — This Cincinnati case study shows how executive teams move from AI curiosity to real capability. Discover how AI leadership training, persona driven strategy, and the GPS Summit’s AI Systems Generalist program help companies build an internal AI leader, reduce dependence on consultants, and ship measurable wins.