An organization that won’t approve a change on Friday will schedule its largest ones for 1 a.m. Sunday. The difference is who has been booked to recover them. When one overnight network change could not be backed out, the recovery fell to teams no one had scheduled.
An invoice arrives for five thousand dollars and the scan reads fifty thousand. Every system downstream agrees, because every one of them is reading the same misread value. Automating a task also removes the person who was looking at the work, and nothing records that loss.
A finished article still has places to go. Between the last revision and the last share sit images, formatting, metadata, and platforms that expose only part of the route. Post Friendly puts that overlooked work in view, including the parts that still require the writer.
AI closes the gap fastest for the least experienced worker, and the entry-level jobs where inexperienced people used to become experienced ones are opening less often. Those jobs were never only output. They were how the part nobody writes down got transferred, and organizations now lean harder on judgment they have stopped producing.
The Ban Artificial Superintelligence Act declares it United States policy to prevent superintelligence development globally. Its pause starts the day the bill is signed; the international agreements that would make it global do not exist yet. Everything in that interval lands on the people this government can actually reach.
About James Nerlinger
James Nerlinger came up as an engineer on servers and networks and spent thirty years in enterprise infrastructure—major incident management, global operations, and director-level roles at Atos, formerly Siemens IT Solutions, with account responsibility for Fortune 500 clients including Disney, MetLife, McGraw-Hill Education, and Harrah’s Casinos.
He is also the founder of Deep Dark Abyss Productions, an independent software studio, and the author of the interfaith theological blog Many Lamps, One Flame and the memoir One More Beat.
At Ground Level is where he writes about technology, organizations, and what happens when they interact under pressure.