Turn insights into solutions

Pharmaceutical advertising is commonly structured around the solution. This film draws a deliberate parallel between athletic training and scientific research — disciplines of iteration, of trying again after failure, and never declaring the work complete. The voiceover, taken from a 1954 educational film, is flat and almost bureaucratic. There is no swelling music, no patient testimonial, no moment of triumph. The edit moves through footage without hierarchy or climax. The creative approach celebrates persistence over breakthrough. Trying and failing. Learning. And then trying again.

Lilly spent much of 2025 in the Oval Office negotiating drug prices under political pressure, signing "most favoured nation" deals with the Trump administration to bring down the cost of its obesity drug Zepbound, while simultaneously fighting compounded versions of the product flooding the market. It is one of the most commercially and politically exposed companies in America right now. The conventional pharma ad — miracle drug, transformed patient, small-print liability — would have invited exactly the scrutiny the company is trying to deflect. By removing the product entirely, Lilly also removed the target.

What remains is a disposition claim: we are the kind of company that understands science takes time. But notice what the chosen sonic register does to that claim. The 1954 voiceover doesn't just sound old — it sounds specifically American, specifically Eisenhower-era, specifically pre-irony: earnest, institutional, a country that trusted its experts without showboating about it. Whether consciously or not, an ad about pharmaceutical patience ends up rhyming perfectly with the aesthetic of a particular national nostalgia. America when it was serious and undistracted, even if nobody in the room intended it that way.

Wieden+Kennedy is the agency that in 2018 pushed Nike to put Kaepernick in an ad, at a moment when doing so meant burning shoes and death threats and thirty-one percent online sales growth. That campaign said: advertising should take a side. "Never Over" says: we are going to take absolutely no sides at all in the most elegant way we know how. Both are sophisticated readings of a political moment. In 2026, even the most progressive creative voice in advertising has calculated that to sound like an educational film from the Eisenhower administration is just fine. Nobody seems to have noticed. That silence is also a signal.

Emily Dickinson used em dashes compulsively. So did Jane Austen. So, apparently, does your AI assistant — and that's now everyone's problem.

The episode opens with a journalist accused of using ChatGPT. The evidence? Em dashes. Not hallucinated facts, not robotic phrasing, not suspiciously perfect grammar. Just a punctuation mark that's been a staple of expressive writing for centuries. The accusation says a lot about the moment we're in: one where style is no longer interpreted, it's forensically scanned.

AI didn't invent the em dash aesthetic. It learned it — from Dickinson, Austen, from every breathless human writer who ever needed a pause that wasn't quite a comma and wasn't quite a full stop. The machine absorbed the pattern, reproduced it at scale, and now the original owners of the style look like the copies.

This is the feedback loop nobody planned for. Human traits, once learned by machines, return as markers of artificiality. Write too naturally and you sound like a bot. Overexplain and you sound like you're trying to prove you're not a bot. There's no clean exit.

The episode's most revealing moment is the "AM dash" — a speculative, human-only punctuation mark proposed as a kind of stylistic passport. It's an accidental confession: we've started treating writing as a pattern-matching problem rather than an act of thought, intention, and effort.

The headline McKinsey wants you to take away: employees are ready, leaders are dragging their feet. Neat, actionable, perfect for a C-suite audience that needs a nudge. The actual data is less tidy.

Yes, employees are using AI regularly. Yes, they're more aware of its impact on their work than leaders assume. But 41% of the workforce remains apprehensive — not a footnote, nearly half. Trust concerns around accuracy and cybersecurity are widespread. And "using AI" in this context mostly means summarising. Helpful but hardly transformational.

The 1% maturity figure is the one worth sitting with. After years of investment, breathless coverage, and organisational pilots, one in a hundred companies feels AI is actually integrated into how they work. That's not a leadership problem. That's a signal that the gap between tool adoption and structural change is much wider — and stranger — than the substitution-or-augmentation debate captures.

What's missing from the McKinsey frame is that readiness isn't binary. Workers aren't simply ready or not — they're adapting unevenly, by role, by generation, by how much their job actually changes when AI enters the room. Millennials in managerial positions are apparently the missionaries here, bridging enthusiasm and anxiety across teams. Which suggests the real unit of change isn't the organisation or the individual, but something messier in between.

The real constraint the data reveals isn't leadership or culture or investment. It's imagination. Most people are using the most powerful cognitive tool in history to do slightly faster versions of tasks they were already doing. The gap between what AI can do and what people are asking it to do is not a technology problem. It's a problem of not yet knowing what to want.

The creator economy now has its own version of a stat that used to belong to countries: the top 1% take 21% of the money. Two years ago it was 15%. The numbers come from CreatorIQ's State of Creator Compensation report, which tracked 65,000 payments across three years. What they describe is not a market correcting. It's a market stratifying.

The paradox runs deeper than pay. The number of creators receiving payments through CreatorIQ more than doubled between 2023 and 2025. The IAB counts 1.5 million Americans working full-time as creators — 7.5 times more than in 2020. Brand investment in influencer marketing grew 171% year-over-year. By every aggregate measure, the industry is booming. But average earnings rose from $9,200 to $11,400 while the median — the number that describes what a typical creator actually earns — fell. It means the growth is being captured at the top and diluted at the bottom by the sheer number of people entering the market.

The platform data confirms the pattern from different angles. Socialinsider's analysis of over 2 million TikTok posts found views down 23% year-over-year and follower growth down 33%, with smaller accounts hit hardest — around 50% steeper decline — while brands increased posting frequency by 40%. On Instagram, engagement fell roughly 24% year-over-year across 35 million posts analysed, with average engagement rates dropping from 3.2% in 2022 to 2.3–2.6% in 2026.

Buffer's cross-platform study of 52 million posts showed Instagram's median engagement rate falling 26% in a single year. YouTube still rewards watch time generously for those who hold attention — but its 69 million active creators are up 11.6% year-over-year, and every algorithm update raises the completion-rate bar. In every case, the same pattern: more content going in, less visibility coming out per creator.

The platforms are not neutral arenas. They are designed to produce exactly this outcome. An algorithm that serves the most engaging content to the most people will, by definition, concentrate attention on fewer creators as total content supply rises. The Digiday piece on the disappearing creator middle class quoted one talent manager saying brand budgets now go to "the really in-demand creators" while mid-tier creators watch partnerships dry up. Meanwhile, the Influencer Marketing Factory's survey of 1,000 U.S. creators found that 48.7% earn under $10,000 a year. The report calls this "the emergence of a viable middle class." Whether earning under $10,000 annually from what 46.7% of respondents call their full-time occupation constitutes a middle class depends on a fairly generous definition of the term.

The creators who are navigating this successfully are the ones who stopped treating platforms as their business and started treating them as distribution for something they own — products, subscriptions, communities, or email lists they can export. The creator economy, in other words, is maturing the way every media economy eventually does: by rewarding the people who build infrastructure around their audience, not just content for it.

Three years ago Unilever's reset would have generated a week of outraged LinkedIn posts. By 2026 it reads more like a building code update — procedural and already priced in by everyone except the people who wrote the original targets. Under Hein Schumacher, Unilever cut its virgin-plastic reduction target from 50% to 30%, pushed packaging deadlines to 2030-2035, and dropped its 2030 living-wage commitment entirely. It is a doctrine-level reversal at the company that did more than any other to institutionalise purpose-led branding. The EU's Empowering Consumers for the Green Transition Directive takes effect in September 2026 and bans words like "sustainable," "green," and "eco-friendly" in consumer-facing claims unless substantiated with lifecycle evidence.

The UK's Advertising Standards Authority got there first: in December 2025 it pulled Google ads from Nike, Lacoste, and Superdry for using "sustainable materials" and "sustainable clothing" without adequate proof. Lacoste had lifecycle assessments, organic cotton certifications, and a measured 19% improvement in raw-material impact. The ASA banned the ad anyway. Lacoste told the regulator that terms like "sustainable" are "very difficult to substantiate." That sentence is the whole era in miniature.

The instinct has been to read this as retreat. It isn't, mostly. GlobeScan's 2025 data shows that the share of consumers who reported seeing sustainability messaging from brands fell from 49% in 2023 to 36%. At the same time, around 85% of large companies are maintaining or increasing their sustainability spending. They are doing roughly the same work but saying considerably less about it — a behaviour now labelled "greenhushing," which sounds like a communications trend but is really a legal risk calculation. The problem is that silence erodes trust too: consumer confidence in sustainability messages dropped from 79% in 2022 to 65% in 2025. Brands that stopped talking to avoid being called greenwashers are now assumed to have nothing to say.

The consumer side is subtler than either camp admits. PwC reports an average willingness to pay a 9.7% premium for sustainably produced goods, which sounds like a mandate until you notice how it distributes. Deloitte finds the premium holds in low-cost, frequent-purchase categories — oat milk, soap, coffee — and weakens sharply for expensive, infrequent ones. Euromonitor adds that nearly 40% of consumers globally cite higher price as the main barrier. What this describes is not a values collapse but a daily budgeting exercise: people will absorb a sustainability premium on one item and offset it by choosing the cheapest option on the next three.

Unilever's old model assumed you could build a corporate story around purpose and let it radiate downward into brands. The new operating assumption is the reverse: proof has to start at the product, and the only claims worth making are the ones narrow enough to survive a regulator reading them literally.