Spotify doesn’t know who you are. And your brand doesnt either.
Here’s what’s happening: every platform is optimizing for the same metrics, every creator is chasing the same trends, and every brand is starting to sound exactly the same. The algorithm isn’t just failing you, it’s making you invisible.
While everyone else doubles down on algorithmic optimization, the smartest brands are making a different bet: human judgment. Not because it’s nostalgic, but because it’s the only thing that actually builds lasting value.
The Algorithm is Creating Mediocrity (Not Just Recommending It)
Here’s the most damning evidence of algorithmic failure: Spotify has been commissioning “brain-numbing” music designed purely to fit algorithmic mood playlists. Artists were explicitly told to “play simpler” and create content as “milquetoast as possible” to avoid disrupting the algorithm’s categorization systems.
This is the canary in the coal mine. The algorithm isn’t just recommending mediocrity—it’s actively manufacturing it. This is the opposite of creative or memorable. It’s fast food junk that people will use, but as humans, we don’t want it. It’s poison to creativity.
The Self-Defeating Cycle Every Brand Falls Into
Spotify’s model exposes a brutal irony: the push for algorithmic optimization can lead to a flattening of culture, even while boosting short-term engagement. While some specific algorithms might increase novelty, their MIT collaboration data is unequivocal: users with diverse listening habits are 25% less likely to churn and 35% more likely to convert to premium subscriptions.
Yet algorithmic recommendations actively push everyone toward narrower, more predictable patterns.
Translation: the tool designed to keep customers engaged might actually be training them to leave.
This isn’t theoretical. I’ve lived this nightmare for a decade. Been on Spotify since launch, thousands of saved tracks, countless hours of listening data. For years, it was magical. The algorithm served up incredible discoveries based on what I actually loved.

Then it started eating its own tail.
It began subtly, increasing rotation of songs I was already playing, reinforcing the same sound profiles. The breaking point came during constant client travel. Spending hours on planes, I’d queue up lofi beats for focused work (shout out to Lofi Girl and their Spotify playlists). Simple enough, right?
Wrong. The algorithm took my contextual listening—music I chose for a specific environment—and decided that was my entire identity. Land in Charlotte, check my weekly discovery: all lofi, all the time. The algorithm couldn’t distinguish between “music for productivity during travel” and “music that defines my taste.”
That context collapse has made me consider abandoning Spotify multiple times, despite being a decade-long user with massive switching costs.
Your brand is making the same mistake. Every time you optimize for algorithmic engagement, you’re training the system to make you more generic. It’s not just happening to content creators—look at how every brand logo has flattened into the same minimalist aesthetic. The more you optimize for algorithmic distribution, the more you sound (and look) like everyone else optimizing for the same system.
What Happens When Humans Take Control
The difference comes down to serendipity—and it’s bigger than you think.
Research on consumer psychology reveals that people find unexpected discoveries significantly more meaningful than perfectly predicted recommendations. University of Sydney research found that consumers responded more positively to products they didn’t choose—perceiving these “unchosen” items as “more meaningful” and showing higher satisfaction and loyalty.

Here’s the kicker: An algorithm gives you what you want, reinforcing existing preferences. A human curator gives you what you might love, expanding your horizons. That expansion? That’s where obsession lives. That’s where people become evangelists, not just customers.
The Trust War: Algorithms vs. Humans
Here’s the brutal truth about the cultural moment we’re in: trust in AI systems is fundamentally fragile. When we can’t understand how something works, when the logic is opaque, our confidence erodes. Users report what researchers call “algorithm fatigue”—mental and emotional exhaustion from interacting with systems they can’t decode or control.
But trust in human curators builds through an entirely different mechanism: emotional connection, shared values, and the consistent demonstration of good judgment over time. Research on human-automation trust shows that human-led curation creates bonds that automated systems simply cannot replicate.
This connects directly to what we explored in our piece on student athletes being unfakable—authenticity can’t be manufactured or optimized through an algorithm. When a brand has genuine taste, a clear point of view, and the courage to be themselves even when it’s not perfectly optimized, that’s when people become fans, not just followers.
This explains the explosive growth of platforms like Substack, the migration to private, human-moderated communities, and what cultural observers call “the latest online culture war: humans vs. algorithms.” People are actively seeking digital spaces shaped by human agency and distinct points of view. They’re fleeing the algorithm, and platforms built on human curation are there with open arms.

Three Strategies to Win the Taste War
1. Define Your Curatorial Point of View
Stop defining your brand by what you sell. Start defining it by what you stand for. Research on brand point of view shows this isn’t about aspirational adjectives in a marketing deck—it’s about active, expressed opinions on topics your audience cares about.
Your point of view becomes your competitive moat, the North Star that guides every curatorial decision you make. Ask yourself: What’s our unique perspective? What change do we want to create? What values will we consistently uphold, even when they’re not optimized for maximum engagement?
In the age of AI, this human perspective becomes even more critical as a differentiator. When anyone can generate professional-looking content, having something authentic to say becomes the ultimate advantage.
2. Build a Hybrid Curation System
Smart brands don’t abandon algorithms entirely—they reposition them as tools that amplify human judgment rather than replace it.
Research from Carnegie Mellon University found that while algorithms outperformed human editors on average click-through rates, human curators excelled in crucial contexts:
- When user data is scarce: New customers, cold-start scenarios where there’s insufficient behavioral data
- When preferences are diverse or rapidly changing: Dynamic news environments, cultural moments, trending topics
- When the goal is introducing novel ideas: Breaking trends, setting new directions, challenging conventions
The study published in Management Science showed that combining both approaches can boost engagement by up to 13% while maintaining authenticity. The key is knowing when to let the algorithm work and when to assert human judgment.
3. Learn from Brands That Get It
Look at Patagonia. While everyone else was optimizing for engagement, they shut down their website on Black Friday and told customers “Don’t Buy This Jacket.” They donated 100% of Black Friday sales to environmental groups. The algorithm would never recommend this strategy—it’s antithetical to optimization logic.

The result? Record sales, fierce customer loyalty, and a brand that stands for something beyond metrics. They built a movement, not just a customer base.
Or consider Glossier, which built a billion-dollar beauty brand by listening to actual humans instead of trend reports. They created products based on real conversations in their community, not algorithmic predictions of what would sell. Their customers don’t just buy products—they evangelize a philosophy.
These brands measure success differently:
- Sentiment analysis: Track not just mention volume, but the emotional tone of brand conversations
- Engagement depth: Monitor time spent with content, comment quality, and user-generated content inspired by your brand
- Brand affinity metrics: Net Promoter Score, repeat engagement rates, customer lifetime value
- Human Capital ROI: Calculate the financial value your curation team adds relative to their cost
The Algorithm is Making Your Brand Replaceable
Here’s the thing about following algorithmic trends: you’re always playing catch-up. By the time you’ve optimized for the current meta, it’s already shifting. You end up trapped in an endless cycle of copying what worked yesterday while your actual voice gets buried under layers of optimization.
The real question: do you want to be a tastemaker or a follower?
As AI slop—low-quality, derivative content designed purely to game algorithms—floods every platform, we’re witnessing what researchers call the “flattening of culture” into predictable, algorithm-friendly formats.

Why This Matters for Video and Brand Storytelling
In our work, we see this tension constantly. Brands can choose the algorithmic path: create content optimized for engagement metrics, designed to trigger shares and clicks. Or they can choose the curatorial path: craft stories that reflect their authentic point of view, even when they’re not perfectly optimized for the algorithm.
Research on multisensory branding shows that brands engaging multiple senses create more memorable experiences. Kantar’s research confirms that taste—both literal and metaphorical—is the most important driver of brand equity and resilience.

Anyone can A/B test their way to better click-through rates. But developing a distinct point of view, understanding what your audience actually values, knowing when to break the rules—that’s the craft that separates brands from commodities.
The brands that thrive long-term are those that use technology to amplify genuine human insights, not replace them. They understand that their greatest competitive advantage isn’t in their code, it’s in their taste.
The Future Belongs to Curators
As generative AI makes polished content cheap and accessible, authentic taste becomes your only unfair advantage. Polished aesthetics are becoming the baseline expectation, not a differentiator.
Industry experts predict that while AI can automate tasks, it cannot replicate the strategic narrative, authentic point of view, or emotional intelligence that transforms a business into a beloved brand. The magic of turning business strategy into meaningful experience remains fundamentally human.
We’re entering a cultural arms race. On one side: algorithmic optimization, formulaic content, and creative sameness. On the other: human judgment, authentic curation, and the courage to have taste.

The brands that win in the coming decade won’t be perfectly optimized. They’ll be purposefully human.
In a world drowning in content sameness, taste is your only unfair advantage. If you don’t define it, you’ll drown in what the algorithm thinks you should be.