
AGI vs. AI vs. ASI: What Actually Changes?
A practical explanation of AI, AGI and ASI for engineering and product teams, covering capability, autonomy, risk, governance and real‑world impact.
Articles
Artificial Intelligence (AI) is a rapidly evolving field of computer science focused on creating systems and algorithms capable of performing tasks that would otherwise require human intelligence. This includes understanding language, recognising patterns, or making complex decisions. In the context of web development, AI can enhance user experiences through personalised content recommendations, conversational chatbots, and intelligent data analytics.
Below you will find a subset of articles from my blog specifically about Artificial Intelligence. This is an area I have worked with for many years, and it has been a regular subject in my writing. There are twenty articles collected together for you below.

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

The AI content collapse makes cheap publishing less valuable, shifting durable content strategy toward proof, authorship, structure, trust, and expertise.

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

Technical GEO for websites, covering indexing, renderability, entity clarity, structured data, and crawl paths without inventing an AI‑only markup layer.

How service pages become easier for AI search to retrieve and summarise through clear problems, visible proof, internal links, schema, and answers.

AI coding tools make code faster to produce, but technical debt still needs review, ownership, tests, documentation, and senior engineering judgement.

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.

AEO explained alongside SEO and GEO, covering answer engines, featured snippets, AI answers, content structure, measurement, and practical workflow.

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

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

GEO and SEO overlap, but they are not interchangeable. This article breaks down where they meet, where they differ, and how websites need to adapt.

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

What GEO is, where it overlaps with SEO and AEO, and why crawlability, evidence, structure and practical judgement matter more than AI tricks.

Agentic systems do not replace service design. They expose weak contracts, permissions, observability, retries, state ownership, and workflow boundaries.

AI has ethical and environmental costs. Here, I examine its sustainability, responsible use, and whether artificial intelligence could ever replace developers.

AI is reshaping web development, but is it helping or harming the industry? I explore its impact on developers, security, and the future of hiring.