The organizations winning with AI aren’t doing what you might expect.
They’re not the ones with the largest AI budgets or the most sophisticated models.
They’re the ones that started earlier, governed more thoughtfully, and invested in the organizational infrastructure that makes adoption sustainable.
“We know that when AI doesn’t work, it’s rarely a tool or technology problem. It’s a culture clarity or expectation issue.”
— Tia Christopher, Founder & CEO, The Orange Peel Collaborative
Across every session at Innovation Summit 2026, a consistent picture emerged: the technology advantage is commoditizing quickly. The organizational advantage is not.
78%
of organizations are using generative AI in some form
59%
of employees use unapproved AI tools at work
<2 yrs
current half-life of a professional skill
40%
of organizations are in the operationalizing AI phase
This report distills two days of candid, experience-driven conversation into the insights that matter most for executives responsible for AI strategy, workforce transformation, and enterprise technology decisions.
What the report covers
Theme 1
The Future of Work Is Human + AI
Why the question isn’t replacement but redesign — and what that means for hiring, management, and decision authority.
Theme 2
Why AI Initiatives Fail Before They Start
The cultural misalignment, shadow AI exposure, and cost of delay that derail most programs before they reach production.
Theme 3
From AI Strategy to Execution
Real deployment lessons on data readiness, evaluation frameworks, build-vs.-buy decisions, and security in an agentic world.
Theme 4
Governance, Risk & Responsible AI
How the organizations with the best results built governance as an enabler — not a gate — and what that architecture looks like.
Ready to read it?
Download the Report
