Right now, AI is mainly being sold to CEOs and CFOs through the familiar lens of cost efficiency.
Do more. Do it faster. Do it cheaper.
Honestly, that’s not wrong. AI can execute repetitive, pattern-matching tasks at a scale and speed that’s impossible for humans. Even in deep knowledge industries, AI will deliver big gains.
If you’re a CFO or CEO what’s not to like? After all, increasing shareholder value is your main KPI, right?
But in my opinion this “efficiency trap” is AI’s biggest missed opportunity.
AI is not automation software
Treating AI like automation software (a smarter, faster process engine) isn’t just limiting. It fundamentally misrepresents what AI actually is.
AI doesn’t operate on fixed inputs and outputs like traditional software. It doesn’t run rulesets.
AI models human thinking. It’s trainable. Re-trainable. Adaptable. Which means the output you get depends almost entirely on:
- The quality of your vision
- The clarity of your questions
- Your willingness to iterate and engage in dialogue with the machine
AI mirrors human intent. If all you do is ask it to replicate existing processes, that’s exactly what it will do, efficiently. But if you bring imagination, curiosity, and ambition to the table, AI can help you rethink what’s possible.
Limiting your thinking to simply doing the same things, but faster, is incredibly limiting.
The real missed opportunity: a lack of imagination!
AI is your knowledge partner
What changes when you stop thinking of AI as software and start thinking of it as your knowledge partner? It unlocks collaboration.
Humans and AI bring different strengths to the table:
- Humans imagine futures that don’t yet exist. We understand cultural nuance, emotional resonance, social context, and the messy realities of organisational change.
- Machines surface patterns at scale. They ingest more data than we can comprehend, highlight what matters, and connect dots we’d never find on our own.
The magic happens when both work together. This is what I call an AI System, a partnership that enables human and machine to combine their unique abilities to:
- Solve complex problems
- Re-engineer broken processes
- Or even reimagine entirely new ways of working
It’s not about replacement. It’s about reinvention.