Bad news rarely breaks trust; bad delivery does. Too often managers turn necessary cuts into needless cruelty. Yet, predictability, clear reasons, real control, and concrete compassion can preserve dignity and actually build trust even when decisions hurt.
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.
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,
