Dr. George Dagliyan on the Next Decade of AI Adoption
Published: 2026-03-20 — Dr. George Dagliyan site editorial team. Editorial brief.
What will shape how organizations adopt AI in the years ahead? Dr. George Dagliyan shares a framework-driven perspective.
This is site editorial commentary about research themes associated with Dr. George Dagliyan. Interpretations and examples are not verified quotations, personal advice, or reports of client work. This material is general information, not medical, legal, or other professional advice.
Capability is no longer the constraint
This commentary 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 this commentary 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.