AI Explored Podcast: Will AI Take Your Marketing Job? Here's What Two AI Experts Are Seeing
Episode Overview Michael Stelzner, founder of Social Media Examiner, sits down with AI experts Christopher Penn (Chief Data Scientist, Trust Insights) and Rachel Woods (Founder, The AI Exchange & Divi Up Agency) for an eye-opening conversation on the impact of AI on marketing careers. Drawing on new data, industry anecdotes, and hands-on client experience, they discuss emerging trends, survival strategies, future skills, and tangible steps for marketers to thrive—not just survive—as AI revolutionizes the field.
Main Themes & Purpose
- The real, measurable impact of AI on marketing jobs—both risks and opportunities.
- Shifting value: what skills and mindsets will keep marketers relevant?
- How to adapt—tactics, tools, and strategies for integrating AI into workflows now.
- The futurescape: where is AI in marketing headed over the next three months and beyond?
Key Discussion Points & Insights
1. Will AI Take Marketing Jobs? The Current Data
[03:36–07:25]
- Christopher Penn: AI is having a "substantial negative effect on headcount, especially for early-career marketers (age 22–25): about a 20% net loss in jobs," citing Stanford's "Canaries in the Coal Mine" study updated with Anthropic data (Nov 2025).
- Tasks once requiring a large team (e.g., social media content creation) can now be done by far fewer people leveraging generative AI, leading to drastic staff cuts.
- Not an overnight "Terminator" scenario, but gradual shrinkage as AI boosts remaining staff’s productivity.
- Anecdotes: Agency forced to cut fees (and then was fired) because a client preferred AI output; another plans to cut 60% of junior staff to stay profitable.
Quote:
"I want an 80% fee reduction because you're using ChatGPT. We're using ChatGPT and we get a better result out of ChatGPT than we get from you."
– Christopher Penn, [04:44]
2. A Tale of Two Agencies: Downsizing vs. Hypergrowth
[06:09–09:54]
- Rachel Woods: Confirms headcount reductions but notes a second trend among high-growth agencies: AI is “an answer to scaling quickly—now a team of 10 can deliver like a team of 20 or more. The job focus then shifts to higher-level, creative, or managerial work.”
- Brands are starting to bring work in-house, firing agencies, and using AI instead.
3. Templates: The AI Tipping Point
[07:25–11:50]
- Chris: “If you do it with a template today, a machine does it without you tomorrow.”
- Generative AI can now rapidly execute templated, SOP-driven processes.
- Pre-AI: Manual review took 2–3 weeks; with AI, influencer vetting now takes hours.
Quote:
"If you can use a template, so can generative AI."
– Christopher Penn, [07:53]
- Rachel: Detailed example of an influencer agency that systematized their process, templated everything, and then trained AI to automate applicant vetting—turning a multi-week job into a couple of hours.
4. AI-Driven Personal & Business Transformation
[12:02–14:58]
- Chris: Created AI agents (CEO, CFO, sales, customer) to analyze and debate his newsletter monetization, delivering strategic business plans—and now automating sales pitches, sponsor outreach, etc.
- Rachel: Uses AI agents to coach herself on skills, management, and strategy—AI as a business partner and a coach.
Quote:
“Can I make a virtual workforce that makes 10 of me so that I don't have to do those things?... Be a force multiplier for me.”
– Christopher Penn, [13:35]
5. Must-Have Skills for Marketers in the Age of AI
[14:58–18:09]
The “Three Cs” (Chris):
- Critical Thinking: Fact-checking, decision-making, problem-solving. “When you delegate those four skills to AI, your brain gets weaker.”
- Creative Thinking: AI is a skill-leveler; best ideas win.
- Contextual Thinking: Knowing your organization's data and how to leverage it with AI for competitive advantage.
Quote:
“Whoever has the most, best ideas will win.”
– Christopher Penn, [16:01]
Rachel Adds:
- Systems & Process Thinking: Building effective “AI workforces” without chaos.
- Adaptability: Not just using AI, but updating usage as tools evolve.
Quote:
“A trend we’re seeing is there are a lot of people that use AI a lot, but they're using it the same way they did a year ago... They're actually not as open to adapting into new ways.”
– Rachel Woods, [18:35]
6. The Consequences of Not Adapting
[19:43–24:47]
- Chris: "Update your LinkedIn profile." (Translation: Unemployment is a real risk.)
- Companies can radically increase output with fewer hires; not firing, but not hiring either.
- Historical analogy: What the combine harvester did to farming labor, AI is now doing to knowledge work.
Quote:
“If you don't know how to drive a John Deere X9 1100, your employability to a farm today is basically very low. That's what it looks like in knowledge work.”
– Christopher Penn, [21:41]
- Rachel: Specialists still have value, especially those who develop unique “AI operating systems,” push creative boundaries, or lead AI strategy within organizations.
7. Getting Started: Practical Steps for AI Integration
[25:27–28:32]
Chris’s Guidance:
- Develop “requirements gathering” as a meta-skill: Define what you want AI to do, including risks, constraints, and user stories.
- Always end prompts with:
“Ask me questions until you have enough information to successfully complete the task.” - This doubles AI’s usefulness and keeps you engaged in problem-solving.
Rachel’s Advice:
- If you’re a beginner: Be in the tools daily—have your AI tab always open; immerse yourself in communities for inspiration and peer pressure.
- For intermediates/advanced:
- Implement AI Playbooks (series of tasks/instructions).
- Use tools like Claude Skills to automate recurring processes.
8. Advanced Tactics & The Rise of AI Agents
[28:48–34:48]
- Rachel: Claude Skills—store custom processes as “skills” you can reuse anytime, e.g., a “Steelman” skill for critical thinking, or a daily productivity “todaying” skill.
- Chris: Coding-oriented tools (Claude Code, Gemini, OpenAI’s Codex) let AIs access your files, automate multi-step workflows, and remember past actions.
- Example: Have AI generate and caption all your company’s social video content each week.
Warnings:
- Agentic AI (AI able to act on your behalf) requires oversight. Rachel accidentally had Claude Cowork post comments on LinkedIn without her intending to!
Quote:
“Just make sure you're watching your agent.”
– Rachel Woods, [34:08]
- Chris: AI will “grant your wishes literally”—be precise and supervise.
9. How to Tell If You’re Falling Behind
[35:33–37:29]
- Rachel: If you have assumptions about what AI “can’t do” but haven’t tested or probed why, you’re likely behind. The field moves fast; capability breakthroughs happen monthly.
- Chris: Benchmark: Can AI now automate tasks you do (like making slide decks)? Are you tracking what it can and can’t do—are you “checking in” on progress regularly (ideally daily)?
10. What’s Next? Future Trends for Marketers
[39:26–43:57]
- Rachel: Systematization of work—moving from individual productivity to AI-empowered team operations; building and maintaining playbooks and processes is increasingly crucial (“Own the work, own the playbooks, rent the tech”).
- Invest most of your time applying AI to your work, not just consuming tool updates (spend “90–95% of your time working the tech, 5–10% keeping up with it”).
Quote:
"If you don't have a good foundation of business process operations, then you're not able to use that capability."
– Rachel Woods, [41:16]
- Chris: “It’s all about agents… and the agent harnesses around them.”
- Pay special attention to progress from the “big five”: OpenAI, Google, Anthropic, Alibaba, DeepSeek (the last two are massively influential in the Chinese tech scene, worth closely monitoring).
- Warning: “The biggest blind spot in AI today is that people are not paying attention to what's happening, particularly in China.”
Notable Quotes & Memorable Moments
- “If you do it with a template today, a machine does it without you tomorrow.”
– Christopher Penn, [07:53] - “Update your LinkedIn profile.”
– Christopher Penn (on the risk of not adapting), [19:54] - “Own the work, own the playbooks, rent the tech.”
– Rachel Woods, [41:19] - “The biggest blind spot in AI today is that people are not paying attention to what's happening, particularly in China.”
– Christopher Penn, [42:32] - “Ask me questions until you have enough information to successfully complete the task.”
– Christopher Penn, [26:19] — the single prompt to improve AI usability
Important Timestamps for Reference
- 03:36 — AI’s impact on early-career marketing jobs.
- 07:53 — Templates & the automation tipping point.
- 12:02 — Using AI agents for solo-entrepreneur business planning.
- 15:22 — The Three Cs (Critical, Creative, Contextual Thinking).
- 19:54 — The unemployment risk for stagnant marketers.
- 25:27 — Requirements gathering for AI tasks & the super-prompt.
- 28:48 — AI Playbooks and Claude Skills for advanced users.
- 34:08 — Risks & best practices with agentic AI.
- 41:19 — The “own the work, rent the tech” strategy for the future.
Clear Takeaways
1. Adaptation is non-negotiable.
Marketers who embrace AI, rethink their value, and continuously skill up will flourish—others risk irrelevance.
2. The winning formula: Systems + Creativity + Oversight.
AI is moving past one-off prompts—having clean systems, playbooks, and the ability to think critically and creatively are emerging as competitive superpowers. Oversight is a must as tools become more powerful and autonomous.
3. Look ahead, not just around.
“Agentic AI” (collections of task-performing agents) and team-wide systematization are the next big workplace shifts. Keep a keen eye on global developments, especially in China.
4. Don’t just chase tools—build your own playbooks.
Spend most of your time applying AI to your problems, not surfing for new product releases.
5. Practical next steps:
- Get into the habit of daily AI use.
- Create and reuse AI playbooks/skills.
- Benchmark what’s possible, and constantly push the boundaries of what AI can do for you and your team.
- Join professional communities to stay inspired, not just informed.
Connect with the Guests
- Christopher Penn: TrustInsights.AI
- Rachel Woods: LinkedIn or diviupagency.com
For more episode notes, visit socialmediaexaminer.com/aipod
