AI came up in nearly every room at Connections Live 2026, from the Executive Leadership Forum to sessions on business transformation and cybersecurity. Each session had its own focus and vocabulary, yet the same few ideas kept surfacing across all of them.
AI adoption starts with leadership
Across the event, one pattern kept coming up: AI initiatives stall less because of the technology and more because leadership hasn’t changed alongside the teams using it. Teams can adapt their workflows, pick up new tools, and rethink how they operate, but that only carries an organization so far if the people at the top treat AI as something to approve and delegate rather than something they’re part of. Real adoption looked less like a mandate handed down and more like a shared shift, led from the top.
The real work is culture, not tooling
More than one conversation pushed back on the instinct to treat AI adoption as a technology problem. At the Executive Leadership Forum, Mickey Iqbal of Amazon Web Services (AWS) made the point directly: Technology isn’t the bottleneck; culture is. The persistent challenge is building trust. Employees need to trust new ways of working, leaders need to trust that changing how they operate will pay off, and everyone needs to trust the process itself. Leaders who involve their teams early tend to earn that trust faster.
AI still needs a human check
Whether the topic was business workflows or security, sessions highlighted the same concern: AI can sound confident even when it’s wrong. The organizations that seemed furthest along took that to heart and weren’t handing decisions over to AI entirely. Instead, they were pairing AI’s speed with human judgment, treating it as leverage rather than a replacement for expertise.
The advantage is still what you already know
Years of industry experience, customer history, and operational data are assets no AI can replicate on its own. AI delivers the most value when guided by people who know their business inside and out. Technology may set the pace, but people set the direction.
What it adds up to
The organizations getting the most out of AI aren’t waiting on better tools or technology. They’re changing how they lead, building trust across their teams, and applying their expertise to the work. In the end, AI is only as successful as the leadership behind it.
For leaders heading into 2027, the biggest opportunity may not be the next AI tool. It’s building a culture ready to make the most of it.
Build less, lead more
Building AI in-house takes time and resources that could go toward the leadership and culture that make adoption stick. AI that’s already built for your industry and embedded in the systems you use every day helps your teams put it to work right away. That’s the idea behind PDIQ, PDI’s AI foundation for the convenience and fuel ecosystem.
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Connections Live 2027
August 29 – September 1, 2027
Gaylord Rockies Resort
Denver, Colorado
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