1) The 5 Marketing Responsibilities Redefined by AI
Marketers see all their responsibilities enhanced by AI:

Understanding the Target: in-depth research, simulated interviews, corpus analysis (competitors' ads, verbatims, NPS).
Presenting the Offer: creative angles, messaging, branding, pricing, multi-format assets.
Generating Demand: targeting, CRM enhancement, scoring, personalized sequences, tracking intent signals.
Monitoring & Strategy: competitor/trend monitoring, periodic reports, action recommendations.
Management & Leadership: auto-generated slides for internal use, meeting reports & decisions, sharing best practices.
2) How AI is Already Changing Things for Marketers
AI accelerates what you're already doing and opens up very concrete possibilities: it serves as a draft creator for content, condenses research and monitoring into actionable summaries, produces visualizations, structures ideation and briefs, and automates reports or multichannel variations.
Time savings are real, but differentiation still comes from your strategy, your angle, and the quality of your instructions to the AI.

3) AI Methods Making a Difference in Business Today
RACE Prompting: Role (who is speaking), Action (expected deliverable), Context (targets/data/constraints), Examples (≥5 if you provide them).
In-depth Research ("long" modes): entrust AI with a market/persona summary, then challenge it with targeted questions.
Role-Playing & AI↔AI Dialogues: unveil objections, unanticipated questions, unexpected angles.
Competitive Analysis from Corpus: ads, pages, emails → extract value propositions, benefits, and formats that perform well.
Large-Scale Multi-Asset Production: "spreadsheet + AI" approach to craft titles, images, scripts, variations by segment/channel.
Augmented Meetings: transcription, decisions, tasks; human focus on content.
4) Staying Up-to-Date with AI Without Burning Out
Here are some examples to follow:
Automate Monitoring: monthly competitor tracking, newsletters, product changelogs, + actionable summaries using "Tasks" in ChatGPT
Iterate Gradually: prototype, measure, learn (short loops > big bets).
Connect Tools into Workflows: generalist AI + image/video generator + AI spreadsheet + CRM + email.
Confidentiality & Compliance: data governance, usage rules, security review.
Environmental & Human Impact: limit unnecessary runs, favor augmentation (AI to critique/improve) over total delegation.

5) Action Plan in 4 Weeks
Week 1 – Foundations: define 1 priority persona, 1 offer, 1 quantified objective; write 3 "canonical" RACE prompts.
Week 2 – Proof of Value: in-depth research + role-playing; produce 1 page/1 email/1 test ad.
Week 3 – Scaling: move to "spreadsheet + AI" to create 10–30 variations (segments/channels), QA, launch 2 micro-tests.
Week 4 – Learn & Document: consolidate results, decide what becomes routine, automate monitoring & reporting.
Join our AI for Marketing bootcamp (financing available) to implement the action plan for your next marketing campaigns.
Auteur :
Biographie
Directeur Associé chez Side School. Ben Issen était précédemment fondateur de Supercreative où il a créé plusieurs outils IA à destination des freelances.
