Robert Julian Smith

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ai critical thinking

In a recent Wall Street Journal interview about preparing for the future workforce, Anthropic CEO Dario Amodei offered surprisingly straightforward advice. His recommendation wasn’t about complex programming skills or advanced degrees. Instead, he emphasized two fundamental elements: first, learn to use AI tools effectively, and second – perhaps more crucially – develop your critical thinking abilities.

This dual approach resonates deeply with marketing professionals navigating today’s rapidly evolving digital landscape. As someone who has spent three decades in competitive markets from Dallas to Manhattan and across Europe, I’ve witnessed countless technological transformations. But AI represents something fundamentally different – it’s not just another tool in our arsenal; it’s a paradigm shift in how we approach marketing strategy and execution.

For years, I struggled with a common challenge many seasoned professionals face: how to effectively share the wealth of knowledge accumulated over decades in high-pressure markets. My expertise in sales and marketing spans multiple continents and countless campaigns, but translating that experience into actionable content always felt like an insurmountable task. I just couldn’t write. Plain and simple. 

Then came AI, and with it, a revelation. These tools don’t just help me write – they help me structure and articulate decades of experience in ways that could truly benefit others. But here’s the crucial part: success doesn’t come from simply letting AI take the wheel. It comes from applying critical thinking to guide these powerful tools, ensuring they capture not just my words, but the essence of my experience.

When AI Gets It Wrong (and Right)

Let me share something that happened recently. I was reviewing AI-generated content for a customer’s business piece, and everything looked perfect – too perfect. The AI had created this wonderful story about a cultural festival, complete with dates, traditions, and local color. One problem: the festival didn’t exist.

Now, here’s why this matters to you.

Many professionals treat AI like a magic box – input your request, get your content, done. But that’s exactly where things go wrong. Remember what Amodei said about critical thinking? This is where it kicks in.

Let me give you another example, one where critical thinking turned an AI interaction into something special. We were creating social media content for a restaurant client. So, a really basic content piece. The dish looked like a painting – literally, like something you’d see in a museum. Instead of just describing ingredients (boring, right?), we asked the AI to analyze which famous artist’s style the dish resembled.

The result? A social media campaign that connected fine dining with classical art. But here’s the key – this didn’t come from the AI alone. It came from:

  1. Knowing our client’s brand well enough to take a creative risk.
  2. Understanding that social media is about stories, not just pretty pictures.
  3. Having the experience to recognize a unique angle when we saw it.
  4. Being curious is going to help you explore the possibilities with AI.

This is what Amodei means by combining AI proficiency with critical thinking. It’s not just about catching errors – it’s about seeing opportunities that the AI alone would miss.

Creative Thinking Muscle

 

Developing Your Critical Thinking Muscle in the AI Era

Understanding how to use AI tools is relatively straightforward – you learn the platforms, master prompt engineering, and follow best practices. But developing critical thinking? That’s where things get interesting, and frankly, where most professionals struggle.

Let me break down the key elements of critical thinking when working with AI, based on real marketing scenarios I’ve encountered. 

So this is my take on using critical thinking. 

Verification: Your First Line of Defense

The first rule of working with AI is simple: trust but verify. 

Here’s my process:

When AI generates content, I ask three basic questions:

  • Does this align with mine and my customers’ industry experience?
  • Can I verify these specific claims?
  • Would I stake my professional reputation on this information?

Remember that festival story I mentioned? It passed the first test (it sounded plausible) but failed the second (it didn’t exist). That’s why you need all three checkpoints.

Strategic Thinking

But here’s where most people miss the bigger picture. Critical thinking isn’t just about catching errors – it’s about seeing opportunities. Let me explain.

When we used AI to analyze that restaurant dish and connect it to classical art, we weren’t just creating content. We were:

  • Identifying unique angles that competitors might miss
  • Understanding our audience’s cultural touchpoints
  • Creating shareworthy content that transcends typical food photography

This kind of strategic thinking comes from years of marketing experience combined with AI’s analytical capabilities.

The Experience Advantage

Here’s something I’ve learned after 30 years in the field: your experience is your secret weapon in the AI era. When AI suggests a marketing approach, you instinctively know if it will resonate with your target market because you’ve spent years understanding customer behavior.

Don’t sleep on your “modern elders!”

For example, when analyzing market trends, AI might identify patterns in data, but your experience helps you:

  • Distinguish between meaningful trends and temporary blips
  • Understand the cultural nuances that numbers can’t capture
  • Predict how your specific market will respond

Memory and The Power of AI Tool Diversity

Let me share something crucial about working with AI that many professionals overlook. Just like you wouldn’t rely on a single marketing channel to reach your audience, you shouldn’t rely on a single AI tool for your content and strategy needs.

Let’s go back to that restaurant campaign I mentioned. Here’s what actually happened – with an interesting twist.

First Try: ChatGPT

When we showed the dish to ChatGPT, it made a fascinating connection – comparing the plating style to Joan Miró’s surrealist compositions. The playful arrangement of elements, the bold use of color, and the artistic negative space perfectly mirrored Miró’s distinctive style. What’s particularly interesting is that ChatGPT might have made this spot-on connection because it had “memory” of our restaurant’s style through our previous content creation sessions. This wasn’t just an interesting comparison; it was a marketing goldmine informed by context.

Second Try: Google Gemini Advanced

When we ran the same query through Google Gemini, we got a different perspective. It suggested Wayne Thiebaud’s pop art food paintings, Édouard Manet’s still lifes, and Paul Cézanne’s table compositions. Coming in fresh, without any previous context about our restaurant’s aesthetic, Gemini went with more traditional food art references.

Why This Matters for Your Marketing Strategy

This difference in AI responses isn’t a weakness – it’s an opportunity that teaches us something valuable about AI tools. Here’s why:

  1. Different Perspectives Lead to Better Decisions
  •  ChatGPT’s Miró connection was particularly apt because it had “context” from our previous work with the restaurant, aligning perfectly with the Chef’s creative vision and food philosophy
  •  Gemini’s traditional art suggestions, while technically accurate, helped us appreciate why Miró was more appropriate for our specific client
  •  The contrast between responses pushed us to think more deeply about how context and memory in AI tools can affect creative direction
  1. Quality Through Comparison
  •  Each AI tool brings its own analytical approach, influenced by its training and, in some cases, its “memory” of previous interactions
  •  Multiple viewpoints help validate (or challenge) our creative decisions
  •  Contradictions between tools force us to apply our expertise and understand why these differences occur

This experience highlights something crucial about working with AI: sometimes, the tool that knows your brand better might give you more contextually appropriate responses. It’s another layer of critical thinking we need to consider in our AI strategy.

Conclusion: The Art of AI-Enhanced Marketing

After three decades in global sales and marketing, I’ve learned that true innovation comes from combining the right tools with the right thinking. The power of AI isn’t just in its ability to generate content or analyze data – it’s in how it amplifies our professional expertise when we approach it thoughtfully.

Let me be transparent about my own AI journey: while I use multiple AI tools for different purposes, I’ve found Claude.ai to be particularly effective for writing and strategic thinking. Its ability to maintain context and understand nuanced marketing concepts aligns well with the complex nature of our profession.

But here’s something we need to talk about – even with all the precautions, all the cross-checking, and all the critical thinking in the world, mistakes can still happen. I’ve caught AI errors after multiple reviews, and I’m sure some have slipped through despite my best efforts. That’s not a failure of the process; it’s a reminder of our humanity.

Key Takeaways for Marketing Professionals:

The path to AI mastery in marketing requires:

  • Learning to use multiple AI tools effectively
  • Developing strong critical thinking skills
  • Understanding each tool’s strengths
  • Always validating AI outputs against real-world experience
  • Being willing to experiment and iterate

As Amodei wisely advised, mastering AI tools while prioritizing critical thinking transforms AI from a mere productivity tool into a strategic partner. For marketing professionals like myself who struggled to share decades of experience through writing, AI has become a bridge between expertise and expression – not replacing human insight, but serving as a catalyst for turning that knowledge into actionable insights that benefit our entire professional community. 

By the way: I’m still learning!