Embracing Human Messiness and Complexity
The information revolution — and the decades of innovation that followed — required us to reduce organic, fluid, human interactions into binary constructs. It was either 1 or 0, this button or that one, this form or that one. To scale with a predictable output, processes had to be rigid and fixed.
But Bergin argues that generative AI is breaking this historical constraint, allowing humans to communicate and work with technology in their natural language — not just through mice, keyboards and other mechanisms of digital input.
"Humans are messy and complex," he says. "And for the first time, we have technology that doesn't think in ones and zeros, but probabilities. Instead of constraining us, it's almost like it’s embracing our nuances."
"For example," Bergin says. "An employee chatting with an AI agent for HR might say, "I need next Thursday afternoon off, but I'm willing to work through lunch to make up an hour, and I'd like to use the flexible hours I banked last week."
It's a great example where a legacy system will fail instantly. The request isn't easily pre-programmed — there's too much grey. But an AI agent for HR that understands natural language can check the banked hours, verify team coverage, anticipate compliance and present the request to their manager for approval. The process is still scalable and compliant, but the experience is organic.