First-order effects

• Enterprise leaders are likely to elevate AI on strategic agendas, while treating agent proposals as an area requiring more validation rather than a settled product category.
• AI vendors pitching agents face a more demanding sales conversation: broad executive interest creates openings, but Gartner’s hype label raises the bar for concrete use cases and operational proof.

Second-order effects

• Software platforms and systems integrators will compete to turn general AI interest into governed deployments, not just agent demonstrations; this favors products that fit existing enterprise workflows.
• Uneven definitions of an agent can amplify procurement friction, a problem later visible in customer frustration over competing agent definitions across major vendors.

Third-order effects

• If executive attention translates into sustained implementation, AI competition will increasingly center on embedding agents into business systems and proving their economics, rather than on model access alone.
• The gap between strategic enthusiasm and measurable outcomes could produce a more disciplined enterprise AI market, with buyers standardizing evaluation, security, and accountability requirements.