
AI and the Collapse of Organisational Memory
AI knowledge retrieval can weaken organisational memory when summaries hide context, dissent, incident history, product reasoning, and uncertainty.
Articles
Leadership in engineering is the work of improving how teams think, decide, and deliver together. In practice that usually means setting standards, clarifying priorities, mentoring senior people, shaping technical direction, and turning difficult engineering truths into decisions the wider organisation can actually use.
Below you will find a subset of articles from my blog specifically about Leadership and embedded technical leadership. This is an area I have worked with for many years, and it has been a regular subject in my writing. There are fifteen articles collected together for you below.

AI knowledge retrieval can weaken organisational memory when summaries hide context, dissent, incident history, product reasoning, and uncertainty.


A practical explanation of AI, AGI and ASI for engineering and product teams, covering capability, autonomy, risk, governance and real‑world impact.

AI can automate management reporting, but this article separates status theatre from judgement, coaching, accountability, and real prioritisation.

AI can inflate output without improving outcomes. This article explains why weak metrics, faster generation, and shallow review create a productivity mirage.

AI will be OK if teams treat it as real technology, not magic, with adoption shaped by judgement, skills, governance, shared access, and careful autonomy.

Artificial superintelligence means AI that broadly outperforms humans, not just a better chatbot. What ASI means, why it matters, and what remains uncertain.

AI automation improves productivity, but unmanaged labour displacement risks weaker demand, brittle organisations, concentrated gains, and a race to the bottom.

How to vet a senior Next.js developer for replatforming, recovery, SEO, performance, CMS, Vercel, and production debugging work.

Responsible AI becomes real only when decision ownership, data handling, audit trails, exceptions, procurement, and support are assigned to people.

Enterprise AI delivery usually fails after the demo, when ownership, governance, support, procurement, data access, and measurement have to become real.

Deep tech communication should reduce avoidable opacity without pretending hard problems are simple, commercially ready, risk‑free, or easy to deliver.

Fixed quote, day rate, and retainer pricing for senior web development, explained through scope, risk, delivery, ownership, and platform quality.

How to choose between a freelancer, agency, or lead‑level contractor for serious web platform work, with a focus on risk, ownership, and delivery.

Lead and senior front‑end roles overlap, but they are not the same job. This article looks at delivery, ownership, mentoring, and decision‑making.