Engaging your organisation’s human intelligence is a competitive advantage; your team should enjoy and excel at thinking like people.
Engaging your organisation’s human intelligence is a competitive advantage; your team should enjoy and excel at thinking like people.
Engaging your organisation’s human intelligence is a competitive advantage; your team should enjoy and excel at thinking like people.

The conversation about AI in the workplace has become predictably, and unbearably, binary. On one side breathless adopters, feeding everything into the machine with little regard for what it means for their own capabilities. On the other the resisters, determined not to engage with something they don’t trust or fully understand. Neither is a strategy.

The conversation about AI in the workplace has become predictably, and unbearably, binary. On one side breathless adopters, feeding everything into the machine with little regard for what it means for their own capabilities. On the other the resisters, determined not to engage with something they don’t trust or fully understand. Neither is a strategy.

The conversation about AI in the workplace has become predictably, and unbearably, binary. On one side breathless adopters, feeding everything into the machine with little regard for what it means for their own capabilities. On the other the resisters, determined not to engage with something they don’t trust or fully understand. Neither is a strategy.

Real competitive advantage sits in the middle path, where you use AI for what it’s good at while actively developing what it can’t replicate in people. But walking the path requires polishing capabilities for something in which many organisations and teams are (perhaps unknowingly) de-skilling: human intelligence.

Real competitive advantage sits in the middle path, where you use AI for what it’s good at while actively developing what it can’t replicate in people. But walking the path requires polishing capabilities for something in which many organisations and teams are (perhaps unknowingly) de-skilling: human intelligence.

Real competitive advantage sits in the middle path, where you use AI for what it’s good at while actively developing what it can’t replicate in people. But walking the path requires polishing capabilities for something in which many organisations and teams are (perhaps unknowingly) de-skilling: human intelligence.

Use it or Lose it
Use it or Lose it
Use it or Lose it

If you live, walk and breathe, your brain needs friction to develop; the productive struggle that comes from wrestling with a concept, working through a difficult problem. Psychologists have long identified this as the optimal condition for human skill development; the effort of wrangling. AI removes that friction almost entirely. And many of us are handing it problems faster than we realise what we're giving away.

Harvard Business School researchers found the cognitive de-skilling that follows AI dependency can begin in as little as four months. Let that sink in. Sixteen weeks of outsourcing your thinking, and the capacity to do it yourself starts to erode. Not the knowledge, the capability.

This is the cost that doesn't appear on any efficiency dashboard. And it's the reason that investing in human intelligence - the kind that only develops through engagement, challenge and creative struggle - is not a nice-to-have. For any organisation that needs its people to think, judge, connect and lead, it is the most urgent investment on the table.

"As long as AI seeks to simplify and optimise, we're in danger of losing
the skills that define difference."

We're valuing the
wrong things

We’ve optimised ourselves to think, create and measure like the algorithms we’re competing against. And in doing so, we’ve begun to neglect the capabilities that could actually give us an edge.

Research suggests that, right now, when AI appears to outperform humans, it tells us more about the choice of measurement than actual value. A meta-analysis found that researchers didn’t measure contextual appropriateness, long-term consequences, ethical considerations, novel problem-solving, relationship-building or adaptability to unexpected change. All the things you’d actually look for in high-level thinking.

McKinsey predicts that demand for higher cognitive skills like creativity and critical thinking will grow 19% by 2030, while the data-processing skills most organisations currently measure themselves by will decline 19–23% as automation advances.

Copyright © 2026 The Business Poet

Rekindling Human Intelligence

Copyright © 2026 The Business Poet

Rekindling Human Intelligence