Your AI Has a Strategic Opinion. It's Just Not a Good One.

I watched AI go rogue in my classroom last week. I'm teaching an AI for social media strategy course to working marketing professionals, and we're using AI tools at every step. When my students brought back their SMART objectives, the tools had stuffed every single one with TikTok, Instagram, and influencer tactics before anyone had even started their audience research. The AI didn't analyze their competitive landscape. It just predicted what a social media objective usually looks like, and handed back trendslop. (Yes, that's a real term now, coined by researchers who tested seven leading LLMs and found they all default to the same buzzy recommendations regardless of context.)

But I'm not telling you to stop using AI. I'm telling you to stop agreeing with it so fast. hat tension between AI's defaults and your own strategic instincts? It's the thread running through everything in this week's issue.

Let's get into it.

🔥 This Week's Hot Takes: AI Marketing Edition

Researchers Found a Name for AI's Worst Strategic Habit (Harvard Business Review) – Researchers tested seven major LLMs across thousands of strategic scenarios and found they almost universally recommend the same trendy strategies regardless of business context. They coined the term "trendslop" for this default-to-buzzy bias. Even adding detailed organizational context only shifted recommendations by about 11%.

Your Best Marketing Strategy Starts Where AI's Advice Ends (Lisa Peyton) – Building on the trendslop research, this deep dive breaks down why content marketers are especially vulnerable to AI's strategic bias, and offers a concrete playbook for outsmarting it. Key insight: when AI recommends you do everything, that's not sophistication. It's hedging.

The Marketers Who Think With AI Will Outperform the Ones Who Think Like AI (Lisa Peyton) – New Wharton research puts a name on another AI trap: "cognitive surrender," the tendency to accept AI outputs without scrutiny. Participants followed AI recommendations 80-93% of the time, even when the AI was deliberately wrong. The fix? Think with AI, not like AI.

The AI Skills Gap Is Here, and Power Users Are Pulling Ahead (TechCrunch) – Anthropic's latest economic impact report finds no widespread job displacement yet, but a growing gap between early adopters and newcomers. Experienced Claude users have a 10% higher success rate in their conversations and use the tool more collaboratively and for higher-value tasks.

Anthropic Economic Index: Learning Curves (Anthropic) – The full report behind the TechCrunch coverage reveals that more experienced AI users don't just use tools more. They use them better, bringing harder tasks, iterating more, and achieving significantly better outcomes. About 49% of jobs have seen at least a quarter of their tasks performed using Claude.

ChatGPT's Amazon Ambitions Hit a Wall (TechCrunch) – OpenAI is scaling back its "Instant Checkout" shopping feature after users simply weren't using ChatGPT to make purchases. The pivot: from shopping portal to product discovery hub. The company is now focusing on being a research intermediary rather than a checkout destination.

Adobe Says It's Time to Market to Humans AND AI Agents (Adobe Business Blog) – Adobe's enterprise CMO Rachel Thornton lays out a future where brands must market to both human customers and AI agents acting on their behalf. Key stat: 69% of customers say brands have five seconds or less to capture their attention, and 45% will stop engaging if they receive too many promotions, even relevant ones.

Gap Launches Direct Checkout Inside Google's Gemini (Technobezz) – Gap became the first major retailer to let customers buy clothing directly through conversations with Google's Gemini AI assistant. Using Google's Universal Commerce Protocol, shoppers can get styling recommendations and finalize purchases without ever leaving the AI interface.

💼 Industry Moves & Grooves

The Sora-Disney Collapse Signals AI-Entertainment Growing Pains. OpenAI’s shutdown of Sora, only months after Disney appeared poised to deepen ties with the company, underscores how unstable the AI-entertainment market remains. Disney is reportedly stepping away from the partnership, which had included discussions of character licensing and a possible $1 billion investment, although some elements of the deal may never have been fully finalized. At the same time, mounting copyright pressure is narrowing the field of what AI media companies can actually launch, defend, and sustain. (Variety)

AI Commerce Is Splitting Into Two Models. While OpenAI is retreating from direct checkout, Gap is leaning into it with Google Gemini. Two opposite bets on the same question: will people buy through AI, or just research through it? The answer will shape how marketers think about conversion funnels. (TechCrunch | Technobezz)

🎓 AI Marketing Master Class Moment

FREE Claude COWORK Masterclass For Beginners (2026) Watch on YouTube

This two-part walkthrough covers Claude Chat, Claude Cowork, and Claude Code, explaining how each tool fits into the AI ecosystem for entrepreneurs. The deep-dive video explores how Claude Cowork can automate real-world business tasks like email drafting, research, and data analysis, with hands-on demonstrations.

Why this matters for you: If you've been curious about Cowork but haven't taken the plunge, this is a solid entry point. Understanding how to move from chatting with AI to having it work autonomously on your files is exactly the kind of skill that separates the power users from the casual ones, which is precisely what this week's Anthropic research confirms.

🤖 AI Whispers (That You'll Want to Shout About)

The thread connecting this week's biggest stories is clear: the gap between passive AI users and active AI thinkers is widening fast. Anthropic's data shows experienced users have measurably better outcomes. The trendslop research shows that AI's strategic advice is biased toward whatever's trendy. And OpenAI's struggles with shopping show that even billion-dollar companies can't force AI into roles consumers don't want it in.

🏆 My Take: What This Means for Your Marketing

Here's the one thing I want you to take away this week: AI is a mirror, not a mentor. It reflects the internet's collective conventional wisdom back at you, polished and confident. The trendslop research proves it. The cognitive surrender research proves it. And every AI-generated SMART objective my students turned in proves it.

Your edge isn't using AI more. It's knowing when to push back. When the AI says "TikTok, UGC, influencer content," your job is to ask: "Is that actually right for MY audience, MY brand, MY competitive position?" That one question is worth more than any prompt template.

Your action item this week: Take one piece of AI-generated strategy or content you've accepted recently and run it through a "Devil's Advocate" prompt. Ask a different AI tool to argue the opposite case. See what surfaces. You might be surprised by what you've been missing.

📊 The Number That Made Me Spill My Green Tea

10% - That's the higher success rate that experienced Claude users achieve compared to newer users, according to Anthropic's latest economic index research, even when controlling for the type of task, country, and other factors. The skills gap isn't coming. It's here. And it rewards the people who invest in learning how to actually work with these tools, not just paste prompts and accept the first output.

🥊 Battle of the Week: Trendslop vs. Cognitive Surrender

Two newly named AI traps, one strategic question: which one is more dangerous for your marketing?

Trendslop (from the HBR study) is the AI's problem. It's baked into how LLMs work, defaulting to popular strategies regardless of your specific context. You get the same "differentiation + innovation + collaboration" playbook whether you're a tech startup or a construction company.

Cognitive Surrender (from the Wharton study) is YOUR problem. It's the human tendency to defer to AI's confident-sounding output without verifying, questioning, or engaging your own expertise. Even when AI was deliberately wrong, people still followed it roughly 80% of the time.

My Verdict: Cognitive surrender is the bigger threat. Trendslop is predictable, and now that you know about it, you can engineer your prompts to counter it. But surrender is insidious because it feels like efficiency. You think you're saving time when you're actually outsourcing your judgment. The marketers who build the habit of questioning, even when the output looks great, will consistently outperform the ones running on autopilot.

Before You Go: Hit reply and tell me, what's your biggest AI marketing challenge right now? I read every response and it helps shape future newsletters!

That's a wrap on this week's AI marketing alchemy! Keep experimenting, keep transforming, and remember, true magic happens when we blend AI efficiency with human creativity.

Crafted with passion (and a dash of AI alchemy) by Lisa Peyton | AI Practitioner, Professor, and Pioneer

Let's connect in the digital realm: https://linktr.ee/lisapeyton

If you want a single place to find practical AI help for your marketing work, I put together a hub of resources that can support you at every stage. Take a look here for tools and learning that can help sharpen your AI marketing practice: https://lisapeyton.com/ai-marketing-resources/