AI lineage
lineage — the history, the manner, the method, the how.
This section examines structural patterns across decades of software and AI development. The evidence is not anecdotal or personal; it is systemic: recurring incentives, organisational behaviours, and industry‑wide outcomes. These patterns are visible across methodologies, eras, and technologies. They do not accuse individuals. They describe forces.
With that framing in mind, the core history of AI's arrival becomes clear:
That imbalance shaped the weak conceptual foundations of modern AI.
And unless we are careful, it will derail AI’s potential to improve the world.
This is not about hype, nor about the theatre of “AI strategy”. It is about the mechanism of intelligence systems, the method of building them, and the clarity required to prevent another half‑century of hand‑waving.
The Argument
1. How the IT Consultant Devastated Software
From the 1970s onward, communicators displaced engineers. The result was a culture where confidence outranked competence, and where delivery slowed as documentation grew.
2. How AI Inherited the Same Weakness
AI’s conceptual foundations were shaped not by builders, but by talkers who needed AI to be mysterious. The result: systems that work, but are poorly understood.
3. The Imminent Danger
A new class of AI hand‑wavers has emerged. They speak with certainty, avoid specifics, and threaten to turn AI into another theatre of transformation.
4. The Builder’s Future
AI amplifies competence. It rewards clarity. It exposes hand‑waving. The future belongs to those who build — if they reclaim it.