The AI-Driven Marketer archive
Practical systems, original perspectives, and useful experiments for marketers building in the age of AI.
Latest thinking
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ChatGPT 6 Astra’s computer-use abilities point to a major shift in marketing: entry-level work won’t disappear overnight, but the skills required to begin—and advance—are changing fast.
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AI is already part of daily marketing work. The next advantage won’t come from using more tools—it’ll come from finding bottlenecks, questioning assumptions, and automating only what works.
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AI can already analyze your marketing strategy. The harder problem is giving it clean, connected business data—and building the IT relationships needed to make that possible.
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AI isn’t just changing how we market. It’s changing what people believe. As fake testimonials and synthetic content spread, proof, depth, and visible humanity become your strongest trust signals.
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AI gives marketers more capacity, but capacity alone doesn’t create revenue. The missing skill is learning to think like an owner: technician, manager, and entrepreneur at once.
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WordPress isn’t disappearing overnight, but AI-assisted development is changing how small teams build websites, landing pages, internal tools, and custom marketing systems.
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ClickUp’s 100X marketer role sounds bold, but it exposes a bigger question: how should marketers use AI without becoming bottlenecks, losing judgment, or chasing productivity theater?
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Podcasts help experts make invisible knowledge visible. With AI, one conversation can become blog posts, newsletters, clips, and authority assets.
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Most AI marketing content sounds polished but misses the real work. Here is how to tell practitioner content from repackaged internet advice.
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Marketing directors do not need more AI hype. They need a practical filter for choosing AI tools, workflows, and automations that solve real problems.
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Generic AI creates generic output. The best AI workflows start with expert processes: judgment, context, decision rules, and hard-won experience.
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The best marketing workflows to automate with AI are not always the flashiest. Start with existing expert processes, clear bottlenecks, and repeatable work.
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