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The gap between the two has very little to do with how much you have spent, how big your team is, or how early you started.
The organizations pulling ahead are not the ones with the biggest AI budgets. They are the ones asking a different question before they buy anything.
51%
Describe their organization as a slow AI adopter.
18%
Have AI use cases actively in operation.
57%
Are stressed about finding the right solution.
Fewer than 1 in 5 have anything running in production. That distance between intent and execution has a specific shape, and it shows up in the same places across organizations of every size and industry.
AI adoption used to be a question of whether. Most leaders settled that a long time ago. Now the research is catching up to what practitioners already sense: the gap between priority and production is longer and more specific than most expected. And it has very little to do with tools.
Joel Neeb, Chief Transformation and Business Operations Officer, 8x8
Our research surfaces the same blockers across organizations of every size and sector. Recognizing which ones are yours is the first step to getting unstuck.
Most organizations assume their blockers are unique to them. The data says otherwise. There are three places where AI stalls. They compound each other, and the organizations that have made it through understand exactly how. The report names them and shows what it takes to move past each one.
Data security tops the list. But the organizations stuck in our research are working through something harder than a compliance checklist. They are figuring out how AI and people are supposed to function together responsibly, and finding that most governance frameworks were not built to answer that question yet. Only 31% of organizations have formal AI policies in place.
Hunter Middleton, Chief Product Officer, 8x8
31% of organizations have a dedicated AI strategy team. Half of those teams still describe implementation as slow. A strategy and a budget create the conditions for progress. The report explains what actually separates the organizations that have crossed from pilot to production from the ones still waiting.
Bruno Bertini, Chief Marketing Officer, 8x8
Organizations that have integrated their data and defined their outcomes before deploying see a 26% increase in customer satisfaction and a 23% boost in agent efficiency. Only 28% of companies currently make that data widely available. Closing that gap is where the real work starts.
The organizations getting AI to work are building on stronger foundations: connected data, clear outcomes, and a platform designed to support both. The full report shows what that foundation looks like and what it takes to build it.
