Human Intelligence

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 quietly (and perhaps unknowingly) de-skilling: human intelligence.

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.

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.

Real Intelligence isn’t measurable

Real intelligence is the integrated, messy, complicated human capacity that AI built on vectors and pattern-matching fundamentally can’t replicate. Research identifies four critical areas where humans are likely to be irreplaceable for some time to come, and where many organisations are quietly losing ground.

Metacognition: thinking about your thinking
The ability to recognise your own biases, assess the quality of your reasoning, and shift strategy when your initial approach isn’t working. This is what prompts someone to say ‘I might be approaching this wrong’ or ‘we may have framed the problem badly.’ AI systems can’t fully reflect on their own thought processes or question their assumptions. If we rely on AI to do the thinking, research shows results are worse by every measure. Critical thinking and systems thinking, used together, are the antidote.

Intersubjectivity: understanding what isn’t said
Social exchange, shared meaning-making, reading emotional and social dynamics that can’t be algorithmically parsed. LLMs struggle with implication, cultural nuance, presupposition and social pragmatics. They are often pragmatically awkward or culturally misplaced. But humans interact in multiple dimensions simultaneously: contextual inference, emotional subtext, lived experience. We can build this capacity via deep engagement with language, exploring metaphor, narrative and the sensory dimensions of communication.

Contextual judgement: reading the room
The ability to analyse situations that can’t be fully specified. To know when rules should bend, when ‘technically correct’ is actually wrong, and when the objectives themselves are misguided. This is how experienced leaders sense tension that’s invisible in any quantitative metric. It’s why skilled facilitators abandon a carefully planned agenda when the group needs something different. Contextual judgement emerges from the integration of embodied (physical) cognition, language understanding and metacognition. It can’t be automated, but it can be developed.

Embodied understanding: what the body knows
People are reaching for something AI cannot provide because they need it. In 2025 one-third of UK toy sales were to adults buying physical toys for themselves, a market growing three times faster than toys for children. Physical and sensory engagement creates neural pathways and intuitive knowledge that transcend explicit reasoning. Writing by hand activates brain connectivity across motor, visual, sensory and memory regions in ways typing does not. The body knows what the mind has forgotten, and physical interaction helps develop this embodied intelligence.

Building Back What We’ve Lost

These ‘human intelligence’ capabilities aren’t gone, but they are becoming weaker. We can rekindle them by working on three individual skills that blend together to develop multi-faceted intelligence, deepen understanding and embed learning.

Critical Reasoning
Critical thinking develops metacognition, encourages big-picture thinking and trains teams to recognise when they’re thinking algorithmically rather than contextually. It builds people’s ability to question assumptions - their own and others’ - evaluate evidence, and ask: what’s this really about? Are we solving the right problem? Unlike AI, which identifies patterns but can’t question whether they’re meaningful, critical reasoning helps people make better judgements and feel more confident doing so.

Poetic Thinking
Corporate thinking is often linear and misses lateral breakthroughs. Poetic thinking creates unexpected connections and helps teams think more creatively under pressure. Business Poetry encourages deep engagement with language: the sensory, emotional and metaphorical dimensions that develop pragmatic understanding, imaginative reasoning and the capacity for narrative strategy. It trains teams to understand implication, read emotional subtexts, build communication that connects, and sharpen messaging to avoid sounding like everyone else.

Physical Interaction and Embodied Play
Engaging the body as well as the mind develops embodied cognition, creative synthesis and the ability to think with hands and objects, not just abstractions. LEGO® Serious Play leverages this deliberately, using model-building to generate deeper insights, reconnect thinking to the body and manifest complex ideas in physical form. When teams build with their hands, they allow what the mind doesn’t know it knows to emerge. The result is better connection, closer team collaboration, and solutions that hold.

How it works in practice

Developing human intelligence is not an off-the-shelf proposition. The work is bespoke, designed around real challenges, not a generic human skills development curriculum.

The moment we’re working towards is that collective outbreath, when a room full of people arrives at the same new understanding simultaneously, and everyone knows it. Whether it’s finding strategic clarity, creating better solutions, collaborating more effectively or setting shared vision and objectives, it’s the moment when everything clicks.

In a one-day bespoke workshop, a leadership team might use structured critical enquiry to excavate the assumptions blocking their strategic clarity, Lego® Serious Play to externalise and examine a complex problem or system from new angles, and poetic exploration of storytelling and narrative strategy to develop metaphor and deeper meaning. One-to-one sessions offer the same depth for individuals: leaders who want to sharpen their judgement, clarify their narrative or develop their creative confidence.

A team that’s done this work doesn’t just feel better, it thinks better, reads situations more accurately, communicates with more precision and power, and feels more confident navigating ambiguity. Which is, after all, the defining condition of working successfully alongside AI, without losing your edge.

Lean in to your Advantage

Yoshua Bengio, often called the Godfather of AI, asked his advice on thriving in an AI-dominated world, said: work on the beautiful human being you can become.

It takes courage to invest in capabilities that don’t appear on dashboards or yield immediate ROI. But the organisations, teams and leaders who choose human intelligence won’t just navigate AI. They’ll define what comes next.

Human capabilities aren’t soft skills. They are deep, difference-defining, competitive advantages. The question is whether you’ll invest in them before your competitors do.