Everything published, most recent first.
The em-dash has fallen under suspicion—treated as a tell-tale sign of artificial writing rather than what it has always been: a mark of care, rhythm, and thought in motion. It should return to good standing so we can recover linguistic standards we seem oddly eager to abandon.
A 2025 review of authority, trust, coherence and attention—plus a strategic outlook for 2026 on AI governance, provenance, regulation and decision quality. What to prioritise, what to ignore, and why clarity beats theatre.
A practical playbook for human-centred AI: redesigning workflows, building capability, governing judgment, and sustaining talent pipelines so AI amplifies human agency rather than hollowing out the organisation.
Most companies use AI, but few achieve real impact. In part I of this series I explore why people—not tools—determine AI maturity, and why the next serious organisations will dominate the space between pilots and profit.
A practical guide for managers who need candid teams and consistent delivery. Six disciplined moves that sharpen judgment, normalise challenge, and build the structures that keep work honest, focused, and on track.
Psychological safety is often miscast as comfort. It's time to restore a harder edge: as a discipline that lets teams surface error early, challenge authority safely, and keep standards sharp—especially in hybrid work, where voice is fragile and candour is the real performance engine.
This quarter revealed a common flaw: organisations drowning in information yet starved of judgment. From trust to hiring to AI, the task remains the same—recover the authority to decide rather than defer.
In an age when machines can mimic thought, the real question is who stands behind the words. A reflection on authorship, judgement, and the human presence that gives writing its authority.
Every platform is as much a philosophy as a technology. Version 5.0 of this platform marks my return to Ghost and the creation of two new communities—The Commons, where ideas are shared, and The Inner Circle, where they're refined and tested.
AI models mirror WEIRD cultural norms while claiming universality. Alignment methods reinforce this bias, projecting one community’s “common sense” as global truth. Recognising plurality through Wittgenstein’s language-games and Popper’s falsification reframes alignment as provisional and adaptive,
AI's fluency enchants, eroding the old signals of competence and authority. The danger is that trust becomes a machine illusion. Leaders must refuse the managerial shortcut and practise noble language—reasoned, responsible speech—to keep trust a human achievement.
AI is said to be reshaping organisational forms, rendering pyramids obsolete and obelisks ascendant. Yet the deeper truth is distortion rather than stability. The “Rhomboid Organisation” captures this skew—unstable, off-balance, authority flattened.
Johann Sebastian Bach’s “mediocre” appointment in Leipzig offers a sharp lesson for today’s hiring. Organisations often chase unicorns, mistaking signals for substance. True value lies in suitability—clarity of purpose, openness to varied forms of competence, and sound judgment—rather than surface c
Data does not persuade; trust does. Kahneman, Haidt, and Wittgenstein explain why credibility carries claims that evidence alone cannot—and why 'data-driven' decision-making is often the fiction organisations tell themselves to avoid naming who they actually trust.
Many charities hire from big-name firms expecting transformation, only to find prestige doesn’t equal performance. The real divide isn’t charity versus business—it’s creators versus passengers. Creators build momentum from scarcity; passengers coast on brand halo. Recruitment must look for scars, no