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The U.S. President Called Your Product Dangerous — What Do You Do Now?

Owned & Operating is the weekly playbook for founders building demand through owned media. Weekly tips on how to get more from your newsletter, content & website.

📲 Trump Orders Sale of TikTok to U.S. Investors

President Trump has signed an executive order mandating that TikTok’s U.S. operations must be sold to U.S. investors, responding to mandates requiring ByteDance to divest or face a ban. The order enforces the framework for the divest-or-ban law and signals that further regulatory scrutiny will follow as the deal proceeds.

Why it matters: This move could reshape how content platforms operate under governance, with tighter oversight on data, algorithm control, and ownership structures. For marketers, changes in algorithm control, content moderation policies, and platform rules could impact reach, targeting, and ad performance on TikTok’s next iteration. Read more.

⚠️ The U.S. President Called Your Product Dangerous — What Do You Do Now?

Following public statements by President Trump suggesting that acetaminophen (sold under the Tylenol brand) might be linked to autism when taken during pregnancy, Tylenol (Kenvue) faces reputational and regulatory risk. Experts at Darden and in communication strategy outline options such as rapid response, clarifying science, stakeholder outreach, and narrative control.

Why It Matters
Brands in regulated or sensitive sectors must plan for credibility crises. One offhand statement from a public figure can erupt into market, legal, and trust issues. Marketers should maintain crisis communication protocols, data transparency, and channels for authoritative counterpoints ready. Read more.

Insurance agents and financial advisors frequently use generative AI tools for content, social media, and client communication. But recent lawsuits and legal analysis warn that these same tools carry copyright risks—if algorithms generate content derived from copyrighted works without permission or attribution.

Why It Matters
Efficiency gains via AI come with liability exposure. Marketing teams and agencies must audit the tools they use, check for proper licensing, avoid outright copying, and maintain human review. In a world where creative assets have real legal weight, combining AI speed with permission and originality is critical. Read more.

💡 Today’s Insight

My AI Marketing Team Has a Professor, a Writer & a Slick Salesperson — Yours Can Too

In a recent MarTech piece, Melissa Reeve describes how she builds her AI “team” using three personas: The Professor (Gemini Gems) for deep research, The Writer (Claude Projects) for narrative and storytelling, and The Salesperson (ChatGPT Custom GPTs) for everyday, versatile tasks. She treats each AI tool as a specialist rather than forcing one tool to do everything. This specialization maximizes their strengths—and lets marketers work more fluidly, with clarity on which tool to call for which job.

Key Takeaways

  • Not all AI tools are equal — matching tool to task (research, writing, execution) yields better outcomes.

  • The “persona” approach helps teams reason about tool roles, reducing overlap, confusion, and misuse.

  • This structure scales: as use cases grow, you can layer more “roles” (e.g. data analyst, compliance agent) using the same framework.

  • Cost and licensing decisions become clearer when each tool has a defined, limited use case rather than being overutilized.

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