Chief marketing officers are adopting artificial intelligence more slowly than the technology itself is evolving, Digiday reports — and many in the industry now describe their stance as "agentic with a small a."

The phrase, highlighted in Digiday's coverage, captures a deliberate gap between what AI vendors promise and what marketing leadership actually deploys. Full autonomous, agent-driven marketing operations remain rare. Instead, CMOs are rolling out smaller, contained AI workflows while keeping humans in the loop.

What does 'agentic with a small a' actually mean?

The wording plays on the industry's current buzzword — "agentic AI," systems that plan tasks, call tools, and act with limited supervision. The lowercase qualifier signals skepticism.

In practice, it means marketing organizations:

• Use AI for bounded tasks such as copy variations, creative iteration, and campaign analysis rather than end-to-end autonomy
• Keep approval and brand-safety decisions with human teams
• Treat vendor roadmaps for autonomous agents as aspirational rather than operational

Digiday's reporting frames the gap as structural: the technology cycle is moving faster than procurement, budgeting, and organizational change inside marketing departments.

Why are CMOs holding back?

The slowdown is not simple technophobia. Marketing leadership faces practical constraints that AI vendors tend to underweight.

Brand risk sits near the top. Autonomous output that drifts off-brand or off-message carries direct commercial cost, and current tools offer limited guarantees. Legal and regulatory exposure around data use adds another layer of caution.

Internal readiness matters just as much. Teams need workflows, training, and measurement before agents can run anything meaningful. A tool that evolves every quarter is difficult to build stable operations on top of.

The result is adoption that lags capability — CMOs buy and pilot selectively while the underlying systems race ahead.

Who uses the technology this way?

According to Digiday's framing, this measured posture describes the marketing mainstream rather than a laggard minority. The CMOs taking the "small a" approach are the same executives under pressure to show AI-driven efficiency gains to their boards.

They are not refusing the technology. They are sequencing it — pairing incremental automation with human oversight until the risk math changes.

What comes next?

The open question is whether the adoption gap closes from either side: AI tools becoming reliable enough for broader autonomy, or competitive pressure forcing faster deployment regardless of confidence.

For now, Digiday's reporting suggests the industry consensus is patience. Marketing leaders will let the technology keep evolving — and keep their own rollouts deliberately, deliberately small-a agentic.