Agents Cannot Maintain Systems: The Additive-Transformative Gap in LLM Software Delivery
LLMs can generate code, but they cannot modify or maintain systems because system‑level work requires causal reasoning, not pattern‑matching.
LLMs can generate code, but they cannot modify or maintain systems because system‑level work requires causal reasoning, not pattern‑matching.
AI lowers the cost of code, not the cost of thinking. Clarity and judgement, not speed, determine whether teams build what truly matters.
Agile cannot fix structural gaps; delivery depends on clear ownership, boundaries, and decision‑rights across the wider organisational network.
Modern AI systems require structured, multi‑step prompts that guide planning, critique, and long‑context reasoning.
An explanation of how large language models actually function and why they should not be treated as miniature humans.
Individual AI delivers diminishing returns; meaningful improvement comes from strengthening the collective workflow.
Global evidence shows rapid AI adoption, rising capability, and widening gaps between regions and firms, with the US driving investment and commercial uptake.
Global evidence shows rapid AI adoption, rising capability, and widening gaps between regions and firms.