Role 01 · Brand, growth, content, and campaign teams

Marketing

More options and faster learning without surrendering taste or accountability.

Adapt this role
Three marketing professionals compare visual campaign directions around a studio table.

The redesign premise

Use AI to widen the field of research and draft work. Keep positioning, customer understanding, brand judgment, and final claims visibly human-owned.

Four tasks to examine first.

The lane is a starting recommendation. Consequence, evidence, reversibility, and local policy can change the right design.

01

Human-led

Set positioning and the core promise

Decide what the audience should understand, believe, and do.

Human owner
Marketing lead
Risk signal
high
Safeguard
Document the approved promise, audience, and proof standard.
02

AI-assisted

Synthesize audience research

Cluster interviews, feedback, search language, and recurring objections.

Human owner
Research owner
Risk signal
medium
Safeguard
Trace every theme back to real source material.
03

AI-assisted

Draft campaign variations

Create distinct message and creative options for human comparison.

Human owner
Campaign owner
Risk signal
medium
Safeguard
Review originality, claims, audience fit, and brand voice.
04

Delegated + reviewed

Prepare routine channel versions

Resize, reformat, and adapt approved material to known channel rules.

Human owner
Production owner
Risk signal
low
Safeguard
Use an approved source and sample every output format.

Skills that become more valuable

Build judgment around the tool.

  1. 01Evidence-based prompting
  2. 02Editorial judgment
  3. 03Claim verification
  4. 04Experiment design
Explore the skills model

A responsible first pilot

Learn before you scale.

  1. 1Choose one recurring campaign workflow.
  2. 2Compare the current cycle with an AI-assisted version.
  3. 3Require a human claim and brand review before release.

Measure together

  • Cycle time
  • Revision rounds
  • Claim corrections
  • Campaign learning

Ground the conversation.

Task and occupation descriptions draw on O*NET. Governance and skill guidance is informed by NIST and the U.S. Department of Labor.

O*NET Database

Occupation, task, skill, work-activity, and work-context foundations

Open source ↗
U.S. Department of Labor AI Literacy Framework

Foundational AI literacy content and delivery principles

Open source ↗
NIST AI Risk Management Framework

Governance, oversight, documentation, and review practices

Open source ↗