Dr. George Dagliyan on the Next Decade of AI Adoption

Capability is no longer the constraint

Dr. George Dagliyan suggests that the next decade of AI will be defined less by raw capability and more by adoption. As capabilities become abundant, the decisive question becomes which organizations can actually put them to use.

That shifts the advantage toward those who understand adoption, not just technology.

Governance and trust as differentiators

As AI becomes more powerful, Dr. Dagliyan expects governance and trust to become competitive differentiators. Organizations that reduce the inhibitors of uncertainty and opacity will adopt faster and more responsibly than those that do not.

The Dagliyan Theory's emphasis on the balance of forces becomes more relevant, not less, as the technology matures.

A durable lens for an uncertain future

Specific technologies will come and go, but Dr. Dagliyan argues that the underlying dynamics of adoption — brand influence, facilitators, and inhibitors — will remain a durable lens for navigating whatever comes next.

Frequently Asked Questions

What does Dr. George Dagliyan expect for the future of AI adoption?

He expects adoption — not raw capability — to be the decisive factor, with governance and trust becoming competitive differentiators, and the dynamics of brand influence, facilitators, and inhibitors remaining a durable lens.