Why human meaning becomes more valuable as content becomes infinite.
Gordon Matthew Thomas Sumner, more commonly known as Sting - recently made a beautifully simple distinction about AI-generated music.
AI can produce perfectly serviceable pop music, but will people merely hear it, or actively choose to listen? His explanation was equally simple: “AI has never had its heart broken.”
That gets to the heart of the real issue.
AI can generate the artefact. It can reproduce structures, identify patterns and create something recognisably described as music. But it has no lived experience behind it. No heartbreak. No memory. No vulnerability. No personal reason for telling the story.
That doesn’t mean everything created by a human automatically has meaning. Clearly, it doesn’t. It means that as music becomes easier to generate, the things technology can’t genuinely experience become more - not less - valuable.
Which brings us to a much more useful question than what AI will replace:
WHAT BECOMES MORE VALUABLE BECAUSE AI EXISTS?
ABUNDANCE CHANGES VALUE
When content was scarce, creating and distributing it held enormous value. When content becomes infinite, the scarce assets become:
Attention
Trust
Taste
Cultural relevance
Emotional connection
Real human relationships
Everything we know about human behaviour and motivation tells us that the more synthetic content we encounter, the more valuable genuine meaning becomes. The more the recommendations that we receive are automated, the more weight we place on people whose taste we trust. The more time we spend inside passive feeds, the more powerful direct communities, shared experiences and real-world connection become.
Nielsens 2021 Trust in Advertising Study found that 88% of global respondents trusted recommendations from people they knew above any other channel.
More recent McKinsey research (2025) captures the same paradox: people increasingly discover through social media, yet social media – particularly influencers content - is among the sources they trust least.
This isn’t a rejection of technology. It’s a rebalancing of value.
“…INFLUENCERS CONTENT - IS AMONG THE SOURCES THEY TRUST LEAST.”
ALGORITHMS DIDN’T SOLVE FANDOM
Algorithms have become very good at identifying behaviour; what somebody streamed, watched, clicked, shared or skipped. But, as we argued in A Like Is The Lowest Form of Human Commitment, behaviour is the outcome, not the explanation.
Those data points are more like looking in the rear-view mirror. You next fans are not necessarily in your CRM, as we explored in Your Next Fans Aren’t In Your CRM.
Algorithms cannot, on their own, tell you why an artist becomes part of somebody’s identity. Why a song represents friendship, rebellion, belonging, escape or a particular moment in somebody’s life. And if you don’t understand that, you may know what happened without understanding how to make something happen next. That becomes increasingly dangerous in a world where behavioural signals can be manufactured, inflated or misinterpreted.
You can own the data and still misunderstand the fan. More data does not automatically produce more understanding.
HUMAN TASTEMAKERS NEVER DISAPPEARED
Algorithms didn’t eliminate tastemakers. They disguised them.
Fans still discover music through friends, communities, scenes, creators, DJs, journalists, record shops, live events and people whose judgement they trust. As algorithmic feeds become more crowded and increasingly populated by machine-generated content - human recommendation will become even more valuable.
But managers shouldn’t simply ask: HOW DO WE REACH THE TASTEMAKERS? That is way too simplistic on misses a powerful resource already at hand. So, what they should also be ask is: HOW DO WE IDENTIFY, EMPOWER AND MOBILISE THE TASTEMAKERS ALREADY WITHIN OUR FANBASE?
This is what we call The Nano Effect. The most powerful nano influences are often not influencers in the conventional sense; they’re trusted people inside real communities. Influence is not simply a function of audience size, but of trust, relevance and proximity. A genuine believer with 200 followers can create more meaningful movement than a distant creator broadcasting to 2,000,000 people who barely notice.
So the goal is not simply to rent reach from the largest possible audience. But to identify the people whose enthusiasm carries weight, give them something worth sharing and help their advocacy travel.
Recent studies show:
Engagement rates: Nanos deliver nearly 50% more than micros, and multiples more than macros.
Conversion: Nanos convert at around 4.5% vs macros at under 1%. That’s not a marginal gain. That’s night and day.
Trust: Audiences see nano/superfan as authentic voices, not hired billboards.
The most enthusiastic fans are not merely customers, to be milked and taken for granted. They’re distributors of meaning, context and cultural permission. Their advocacy can reach places paid media cannot.
THE MANAGER-AS-AUTEUR PLAYBOOK
This is why the manager’s role is changing. As we argued in The Manager Is the Auteur, someone must direct the whole picture.
Labels, promoters, merchandise companies, social platforms and brand partners will naturally optimise the part of the ecosystem they control. As their business models change, their decisions will reflect their own commercial priorities. That makes it more important than ever for managers to own.
So, someone must direct the whole picture. That means managers increasingly need to own:
1. Fan understanding: Not simply who did what, but why the artist matters to different groups of people.
2. Artist strategy: A coherent direction connecting music, live, content, merchandise, partnerships and community.
3. Direct relationships: Connections that don’t disappear when an algorithm, platform or commercial partner changes direction.
4. Human advocacy: Identifying the fans with the motivation, credibility and agency to influence others.
5. Diversified growth: Creating value across the whole artist ecosystem rather than relying on one format, platform or revenue stream.
The manager of the future cannot merely coordinate activity. They must understand the audience, establish the direction and orchestrate everyone around one coherent artist strategy.
Managers must hold the strategic vision for the artist’s whole career, directing recorded music, live, merchandise, content, experiential, partnerships and community towards one coherent destination rather than juggling a series of siloed partners.
One important nuance: the artist remains the creative auteur; the manager becomes the auteur of the career strategy and ecosystem.
THE REAL OPPORTUNITY
AI should absolutely be used. But it should be used as the workforce for the mundane; giving music people more time and greater ability to understand, create and build relationships, not removing the human understanding upon which fandom depends.
Technology can make content
It can accelerate execution
It can analyse behaviour
But it cannot manufacture a genuine human relationship on command.
In a world of infinite content, the winners won’t simply be those who produce the most. They’ll be the artists and managers who understand most clearly why people care - and know how to turn that understanding into stronger relationships, greater advocacy and sustainable growth.
Because when everything can be generated, human meaning becomes the scarce asset.
THIS IS WHY YOU HAVE THE SUPER FAN ENGINE
Most technology begins after somebody has already become a fan. It records what they did, manages the relationship that already exists and optimises behaviour at the end of the journey.
But if growth depends on understanding why people care, finding others who share those motivations and mobilising trusted human advocacy, then we need to bring much further upstream.
That’s why we built the Superfan Engine. It’s not technology in search of a music problem, and Sound Effects is not some tech company retrofitting a solution to the artist community. We’re passionate music people who built the Superfan Engine because Artist and managers need greater ownership of fan understanding. Fan relationships and long-term growth.
Superfan Engine combines attitudinal insight, permission-based direct relationships and activation. It helps artists and managers understand not simply what fans do, but why fandom forms; finds people who share those motivations and values; identifying the nano influencers and advocates whose enthusiasm carries real weight; mobilise that advocacy; and turns it into measurable fanbase growth, stronger relationships and diversified revenue across the whole artist ecosystem.
UNDERSTAND WHY → FIND THE BELIEVERS → BUILD THE RELATIONSHIP → MOBILISE ADVOCACY → CREATE BEHAVIOUR → LEARN → GROW.
That’s the real opportunity: not use AI to make artist more machine – like, but to use technology and insight to help Artist and managers become more powerfully human.
IF YOU’RE RESPONSIBLE FOR AN ARTIST FUTURE, LET’S TALK.
If you’re an artist, manager or right holder are looking to grow beyond the limitations of algorithms, platforms and historic behavioural data, we built the Superfan Engine for you.
The Superfan Engine helps you understand why fandom forms, find the people most likely to care, builds direct relationships and turns genuine enthusiasm into advocacy, firm base growth and diversified Artist.