San Marcos, California, May 14, 2026 — A survey of five midmarket leaders reveals a paradox: teams feel confident about 2027 AI competitiveness, yet most are stalled by structural gaps that skill alone cannot fix. Lack of ownership clarity, siloed data, and informal governance block pilots from shipping.

Cincinnati, Ohio, May 7, 2026 — A survey of 24 C-suite leaders reveals a critical gap between AI ambitions and execution. While customer experience and revenue growth top desired outcomes, most organizations lack clear ownership structures, governance frameworks, and the talent to scale beyond pilots.

Maineville, Ohio, May 6, 2026 — A workshop survey of 13 mid-market leaders reveals critical gaps in AI ownership and talent readiness. What separates competitors from those falling behind.

Cincinnati City, Ohio, May 5, 2026 — A survey of 11 mid-market leaders reveals a critical gap. Nearly half lack clear AI ownership, and most have not tied AI to measurable business outcomes. Here is what works.

Nolensville, Tennessee, April 21, 2026 — Thirteen Tennessee business leaders — from fintech to roofing to life sciences — discovered that AI agents are deployable right now, without consultants or enterprise infrastructure. One left wanting to build immediately. Another asked about private LLMs for regulated data. Here's what their survey data reveals about the diverging AI readiness gap in the mid-market.

Vancouver, British Columbia, April 17, 2026 — A Vancouver GPS Summit session filled entirely with VPs and directors revealed that 80% had no formal AI accountability structure — and 80% were actively asking for AI leadership development. One manufacturing VP had already built the complete AI readiness foundation his peers lacked. Here's what that gap reveals about where your company's AI future actually gets decided.

Lake Oswego, Oregon, April 16, 2026 — Ten Oregon small business owners across landscaping, engineering, insurance, and construction were honest about where they stood: muddling through AI with no governance, no KPIs, and no clear owner. Here's what the Lake Oswego GPS Summit session revealed about the framework that ends the muddle — and the internal leader who delivers it.

Chicago, Illinois, April 14, 2026 — Nineteen Chicago manufacturing and industrial leaders gave the GPS Summit a perfect 5/5 — and 32% said their primary AI goal was talent development, not cost cutting. Their data reveals why American manufacturing sits at the highest-opportunity AI inflection point in a generation, and what's still standing in the way.

Atlanta, Georgia, April 08, 2026 — Six Atlanta small business leaders — from healthcare to commercial real estate to marketing communications — pushed back on fear-based AI framing and defined something more useful: a people-first AI strategy built around freeing capacity, not cutting headcount. Their survey data, and one particularly honest comment, reveal exactly what that looks like in practice.

Mesa, Arizona, March 26, 2026 — Nine Mesa CEOs — from steel fabrication to HVAC to biomedical manufacturing — gave the GPS Summit a 4.75/5 and a 100% recommendation rate. Their survey told a different story: 100% had no AI KPIs, 89% had no live pilots, and nearly half had no usable data. Here's the sequenced approach that turns that level of overwhelm into a clear starting point.

Tucson, Arizona, March 25, 2026 — Three Tucson CEOs — from healthcare, financial services, and a plumbing company — gave back-to-back perfect scores two days running. Their survey data told a different story: 100% had no AI governance, 100% had no usable data, and 67% had no AI KPIs. Here's the reframe that produced both results at once.

Tucson, Arizona, March 24, 2026 — Tucson CEOs gave the GPS Summit a perfect 5/5 across every category — then their survey data revealed that 71% had no AI KPIs, 72% had no usable data for a pilot, and nearly half had no named AI owner. Here's what that combination of enthusiasm and honest self-assessment tells every business leader about where AI readiness actually stands.

Denver, Colorado, March 19, 2026 — Denver CEOs gave this AI session a 4.85/5 and a 100% recommendation rate — not because it covered more ground, but because it went deeper. Here's what the survey data revealed about readiness gaps, brand protection blind spots, and why depth is the only thing that turns AI understanding into AI execution.

Detroit, Michigan, March 12, 2026 — At a Detroit CEO workshop with 28 leaders across 16 industries, 71% had no named owner for AI outcomes — and 79% had zero KPIs tied to AI performance. The data points to one root cause, and one organizational fix that changes everything downstream.

Detroit, Michigan, March 11, 2026 — Sixteen Detroit business leaders — from construction to dental to fintech — revealed that talent gaps, not time, are the dominant barrier to AI progress. Here's what their data shows, and the one organizational decision that separates companies moving on AI from those still waiting.

Detroit, Michigan, March 10, 2026 — At a Detroit CEO advisory workshop, 100% of attendees had no KPIs tied to AI and 80% had zero pilots in production. The problem isn't the technology — it's the absence of a named, accountable AI leader inside the organization.

Elkhorn, Nebraska, March 05, 2026 — At a CEO advisory summit in Elkhorn, Nebraska, 93% of executives had no AI pilots in production and 80% had no one accountable for AI outcomes. Here's what the data — and the room — revealed.

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.