AI is real speed. It is also a multiplier on what you already are.

Your strongest team and your shakiest one are about to get further apart, and AI is the reason. A randomized field trial of 1,974 developers found AI assistance delivered about 26% more throughput on scoped tasks: the execution speedup is real. The trial. And Google's 2025 DORA report found that AI amplifies whatever a team already has: strong teams get stronger, weak teams get their weaknesses exposed faster. The report.

So AI is not an engine that adds capability the team lacks. It is a multiplier on the capability the team already has. If the underlying judgment is thin, faster output just reaches the failure sooner.

Comprehension debt: the gap between what gets shipped and what the team can still reason about.

This reframes the whole spend. A tool that multiplies is only as good as what it multiplies, so the highest-leverage investment is not more tooling, it is the team's underlying ability to reason about the systems they run. That is the multiplicand. Buy speed without it and you have paid to arrive at the same wall faster. The capability is the asset; the tool is the lever on the asset.

One for your next review:

A flaky integration kept throwing, so an engineer wrapped the call in a try/catch and logged the error to keep the pipeline green. The pipeline is green. Three weeks later, a report is silently missing 5% of its rows.

Everything turns on whether "caught and logged" is being treated as the same as "handled." A swallowed exception is a quiet decision to drop whatever work was in flight, so the question that matters is where those rows went and whether a human ever reads that log. Relief that the build is green, and nothing past it, is the warning: the failure did not go away, it went silent, and a multiplier on that habit just loses more data, faster.