AI marketing gets harder before it gets easier

Companies building agentic marketing organizations face rising costs and complexity before efficiency gains appear, following a J-curve pattern documented in past technology adoptions.

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AI marketing gets harder before it gets easier

Companies building agentic marketing organizations face rising costs and complexity before efficiency gains appear, following a J-curve pattern documented in past technology adoptions.

In brief

Companies building agentic marketing organizations face rising costs and complexity before efficiency gains appear, following a J-curve pattern documented in past technology adoptions. Marketing leaders adopting AI agents should expect costs to rise and complexity to increase before efficiency gains appear, a pattern…

The agentic marketing model

An agentic marketing organization has three layers: a brand code capturing rules, execution agents doing the work, and an orchestration layer coordinating tasks and escalating decisions.

The transformation paradox

Companies adopting agentic marketing find costs rise and complexity increases at the start, not decreases. New capabilities are added before old work disappears and agencies remain while internal capacity builds.

The J-curve pattern

The J-curve pattern

The journey follows a J-curve, dipping before it rises. Work gets more involved before it gets simpler, and investment rises before gains in efficiency and productivity appear.

“Work gets more involved before it gets simpler, and investment rises before gains in efficiency and productivity appear.”

Three stages of transformation

The journey moves through three stages: first, codifying the work; then connecting the skills and workflows; and finally, compounding the returns as processes link up.

Stage one: codifying the work

This stage begins when companies ask agents to carry out end-to-end workflows. It involves mapping how processes run today and translating them into requirements, rules, examples, and approval steps agents can use.

Strategy debt exposed

Early work exposes strategy debt: processes rest on strategy choices that have never been made. Companies may have brand guidelines but no settled positioning, prioritized value propositions, or shared view of each channel's role.

Specificity debt

Strategy may exist but not at the precision level agents need. Experienced marketers know intuitively what on brand means and when rules can bend. Agents lack that judgment without detailed guidance.

Adding capability first

Closing strategy and specificity gaps requires a counterintuitive first move: adding capability before removing cost. Bring in subject-matter experts and agentic engineers to teach the system how good marketing decisions get made.

The cost spike

Non-working marketing costs can rise by as much as thirty percent as companies add expertise, engineering capacity, and infrastructure before legacy costs decline. Headcount has not fallen and efficiency is not yet visible.

“Non-working marketing costs can rise by as much as 30%”

Managing stage one

CMOs manage this stage most effectively by moving one workstream at a time, starting with areas that drive the business and are frequent, repeatable, and costly. This stage can take eight weeks to six months.

Stage two: connecting workflows

Once several workstreams are codified, new workflows no longer start from scratch. Teams reuse agents and skills, and shared infrastructure like audience structures and compliance checks apply across channels.

Organizational restructuring

Ownership shifts from specialized craft expertise toward multi-disciplinary team structures organized by customer-journey stages: acquisition, conversion, retention, and expansion. Product marketing and creative serve as shared resources.

The payoff begins

Once workstreams have been transformed, investment begins to pay off. Agency and contractor spending falls. When people in execution-heavy roles leave, they often do not need to be replaced. Headcount benefits come gradually.

Stage three: compounding returns

This stage emerges when organizations connect processes across the marketing function. Information moves across the system rather than staying inside individual workflows. Each additional workstream becomes cheaper to build.

Developing the next generation

As agents take on hands-on work, junior marketers learn by evaluating outputs and diagnosing failures rather than producing work themselves. Organizations need new ways to cultivate expertise and develop future leaders.

The full economic return

The payoff is the ability to scale marketing without adding headcount, outside spending, or coordination proportionally. As information travels across workstreams, each motion makes the next smarter, improving performance and business outcomes.

Expect the messy middle

Organizations will not move through this curve evenly. One workstream may deliver returns while another exposes strategy debt. CMOs who expect this will not mistake the messy middle for failure or pull back before payoff.

“CMOs who expect this will not mistake the messy middle for failure or pull back before the payoff”

The main idea

Marketing leaders adopting AI agents should expect costs to rise and complexity to increase before efficiency gains appear, a pattern consistent with past technology adoptions.

Read the original on Harvard Business Review

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