Bipartisan Congressional Proposal To Ban Pharmaceutical Ads
This week Independent Senators Bernie Sanders (VT) and Angus King (ME) introduced a bill banning pharmaceutical direct-to-consumer advertising. The ban would include basically everything: TV, radio, print, digital platforms and social media. Pharmaceutical ads account for about a quarter of early news advertising.
The ban is backed by Health and Human Services Secretary Robert F. Kennedy Jr., who campaigned on banning drug ads. Pharmaceutical companies will, for sure, sue on First Amendment grounds. Drug companies invest hundreds of millions of dollars in advertising. (Novo Nordisk spent $263million on Wegovy last year.) We will continue to watch this space.
Top 5 AI Mistakes
| If “AI” were a drinking game, we’d all be passed out. Thereis not a day that goes by in the advertising industry without a fairly existential discussion on the implication of AI. For us, and for our children. Last week Meta declared that it wanted to become aclosed-loop advertising platform, where brands install budgets and let Meta do the rest. Creative, placement, optimizations – all will be courtesy of agentic Meta. With this in mind, I was eager to download a guide of cautionary tales by Dan Cumberland, a pioneering AI implementation strategist who helps firms with “human-centered AI integration.” You can download the guide here: My top 5: 1. “Set it and forget it” – Nope, nope and nope. As Cumberland says, “AI is not a microwave. 2. ”Properly train AI on your brand voice, and it will amplify it, not replicate it. The goal is having your brand voice in more places than the human team you can afford. But it requires human oversight and proper prompting. 3. Too many workflows get automated all at once. Pick one that’s a real pain point and then grow AI adoption from there. 4. AI is not just about technology. In fact,Cumberland says it’s only 20% technology and 80% culture, strategy and leadership. Success depends on a strategic roadmap and robust adoption. 5. Mountains of data are not needed. Quality and relevance trump quantity. In media mix modeling, we see the use of synthetic data to augment small data sets. Being nimbleand savvy with small data is a new analytics mindset. Embrace it. |