We’re living in a time of strange contradiction. Artificial intelligence is advancing at lightning speed, yet its real impact on our economies and institutions feels disappointingly small.
For all the talk of transformation, very little has actually transformed. AI feels like electricity before the lightbulb. It’s powerful, full of potential, but we still haven’t figured out what to plug into it.
When you ask people how they use AI, the answers fall into two camps. On one side, you hear consultants talk about automating endless workflows and “streamlining content production.”
On the other, you hear individuals mention using ChatGPT to write emails or create images.
Both groups are missing the point.
The problem is not with the technology. The problem is with us.
We are still thinking about AI in shallow terms, focusing on its surface benefits rather than its deeper potential. And that means we are missing the biggest opportunity of all.
So what is that opportunity? It’s simple but profound.
AI is not here to replace human work. It’s here to free it.
AI Is the Club, Not the Craftsman
To understand what that means, think about this. AI is not a worker. It is a tool. It’s the club, not the craftsman.
Right now, most people use AI to do more of the same, just a little faster. That’s the wrong mindset. The real question isn’t “How can AI do my work for me?” It’s “What can I do once AI takes care of the boring parts?”
If AI can automate the repetitive and the routine, what new value can we create with the energy it releases?
This is where the true economic potential lies. AI’s job is to clear the ground. Our job is to build something new on top of it.
Let me give you a concrete example.
The Example We’re Ignoring: Public Services
When I worked in the police, most of my day was spent writing. Reports, witness statements, evidence files.
All of it vital, but none of it meaningful police work.
That’s time that could have been spent preventing crime, solving cases, or supporting victims.
Today, AI could handle most of that writing automatically. Officers could dictate statements, the software could prompt for details, format reports, and even prepare legal files. In minutes, not hours.
The tools already exist, yet they’re barely used. Why? Because we’re still stuck in an old mindset. We think value lies in the act of typing, not the outcome of the work.
And that’s not just true for policing. It’s the same in the NHS, in councils, in schools, and across corporate life.
AI could reduce the cost of public service delivery overnight. But we hesitate, because deep down we still believe that if humans aren’t doing the visible work, the work has less worth.
The truth is the opposite.
AI doesn’t remove value. It removes friction. And once you remove friction, something else becomes possible.
The Real Problem: A One-Sided View of Value
Here’s the real issue. Most organisations only see AI through one lens: efficiency.
They ask, “How can we save time? How can we cut costs?”
That’s a good start, but it’s not enough. Efficiency is only half the story. The real growth comes when we ask, “Now that we’ve saved time and money, what can we create with it?”
This is where Kevin Kelly’s idea of generative value changes everything.
In his 2016 book The Inevitable, Kelly argued that as technology makes things easy to copy, the copies themselves become worthless. What matters instead are the things that can’t be copied. He called these “generatives” — unique forms of value that technology can’t replicate.
Understanding these generatives isn’t optional anymore. It’s the blueprint for how humans create value in the age of AI.
So what are they? And why do they matter so much right now?
The Eight Generatives: Where Human Value Now Lives
Kevin Kelly identified eight key types of value that machines can’t reproduce. These are the foundations for the next wave of growth, and every business leader should understand them.
Let’s walk through them together.
Immediacy is the first. People will always pay to be first. The opening night of a film, the limited-edition release, the live launch. In a world where AI can generate anything at any time, immediacy becomes precious. It is about being part of a moment that cannot be replayed.
Personalisation follows. AI can mass-produce, but it cannot truly care. The ability to adapt something precisely for one person or one brand becomes priceless. The businesses that thrive will be those who use AI not to standardise experience, but to tailor it deeply.
Interpretation is next. AI generates data. Humans must translate it. As algorithms churn out endless analysis, the real value lies in human judgment — in the ability to understand what the data means and what to do next.
Then there is Authenticity. In a world flooded with AI-generated content, trust becomes a currency. People will pay for what they know is real, reliable, and human. Brands that stand for integrity will win.
Accessibility is another. Ownership is fading. Access is rising. Think cars, streaming, even software. People no longer want to maintain, update, or protect. They just want instant, simple access.
Next comes Embodiment. The digital world is infinite, but we still crave the physical. That’s why events, conferences, and tangible experiences are becoming more valuable, not less. Even the smartest SaaS brands will rediscover print, physical products, and in-person connection.
Then we have Patronage. People don’t just want to consume content. They want to support creators. The success of Skool and even OnlyFans and the creator economy proves it. Patronage creates community, and community can’t be automated.
Finally, there’s Discoverability. In a world of infinite noise, being found is everything. Attention is scarce, and the skill of helping people find you — of curating and communicating — is now one of the most valuable human capabilities of all.
These eight values show us something profound. AI can make everything easier, but it can’t make anything meaningful. That’s our job.
So the question becomes: how do we link AI’s efficiency with human generativity?
The Two-Sided Model of Value
Think of AI value as a coin with two sides. On one side, efficiency. On the other, creation.
AI clears away the repetitive and the routine. Humans must fill that space with imagination, empathy, and originality.
That’s why the most successful organisations in the AI era won’t just automate processes. They’ll reinvest the time and capital saved into building new, uncopyable forms of value.
If efficiency is the engine, generativity is the fuel. Without both, you go nowhere.
So how do you apply this in practice?
Let’s break it down.
A Framework for Two-Sided Thinking
Step 1: Map the work. List every task in your organisation. Identify the 20 percent that consumes 80 percent of your time and resources. Those are your automation targets.
Step 2: Automate ruthlessly. Use AI to remove friction. Focus on speed, consistency, and reliability.
Step 3: Redirect human energy. Once the time is saved, ask the real question: “What can we now build?” This is the bridge between efficiency and value.
Step 4: Design for generativity. Use Kelly’s eight principles as your guide. Which of these values can your organisation create now that you have more capacity?
Step 5: Measure both sides. Don’t just track cost savings. Measure the new opportunities, relationships, or innovations that come from human creativity.
When you start doing this, something changes. AI stops being a tool for survival. It becomes a tool for evolution.
The Real Promise of AI
AI will take jobs. But it will also create new ones, in new industries, with new kinds of value.
The risk is not in automation. The risk is in hesitation.
Every minute we spend fearing AI is a minute we could spend building with it. The question isn’t “What will AI replace?” The question is “What will we do with the freedom it gives us?”
The next economy will belong to people who can see both sides of the equation — who use AI to create time, and then use that time to create meaning.
Because AI doesn’t create value by itself. It only creates the potential for it.
And potential is nothing without action.
The Takeaway
If you remember one thing from this, make it this:
AI creates the capacity. Humans create the value.
We don’t need to fear AI taking our jobs. We need to fear wasting the opportunity it gives us to create better ones.
AI is the new electricity. It can power anything. But it’s up to us to decide what we light up with it.
That’s the hidden formula for growth in the age of intelligence.
Efficiency gives us power.
Generative thinking gives us purpose. And together, they give us progress.
Andrew Holland
Originally published on LinkedIn on 21 October 2025.