AIGS: the wave
after SaaS.
AI-Generated Software, AIGS, is what happens when producing a working application stops being a specialized skill. Built in days, owned by you, powered by rented intelligence. It is genuinely new and genuinely good, and it comes with a catch nobody prices in: SaaS came with a vendor whose job was keeping it current. AIGS does not.
AI-Generated Software (AIGS) is the category of software that emerges when the ability to produce a working application stops being a specialized skill: applications built in days by teams of any size, powered by rented intelligence, and aging on the model market's calendar instead of a vendor's release cycle. The term was coined by Russ Reeder, Founder & CEO of KeyDelta, in 2026. AIGS without a standing management system is not an asset. It is a liability with a launch date. The surviving form is AI-Enabled Software (AIES).
How We Got Here
Every wave made software easier. This one changed who builds it.
Each shift made software easier to buy and easier to run. None of them changed who did the building. AIGS does, and that single fact will break more software projects than any technology shift before it. For forty years, "can we build it" was the constraint. That constraint is gone. The bottleneck moved.
Packaged software
Bought on disks, installed by hand, upgraded when you got around to it.
Client-server
The application moved onto the network. IT departments were born to run it.
ASP, then SaaS
The vendor took over the running. Software became a subscription, and keeping it current became someone else's job.
AIGS
Everyone is a builder. Software is generated in days, owned by you, and nobody is paid to keep it current. That job just came back, and most organizations have not noticed.
The Catch
AIGS ages in months, not years.
A traditional application tolerated years of neglect. AIGS drifts in months, because four things never stop moving underneath it.
The business
Requirements change, workflows shift, and yesterday's edge case becomes today's core path. Software aligned to March's operation drifts by October.
The security landscape
Threats, compliance obligations, and access needs change continuously, and AI systems carry attack surfaces traditional software never had.
The foundation models
The most important component is one you do not control. Models improve, deprecate, and change behavior on someone else's calendar, with retirement notices as short as 60 days.
The economics
Every AI request runs a meter. Prices move in every direction at once, and the unit economics of a system can shift without a single line of code changing.
Most AI-built systems die within two years, not from technical failure but from orphanhood: the builder leaves, no one else can safely change it, and users drift back to the old way.
Not SaaS
The job SaaS did for you just came back.
SaaS
- A vendor owns keeping it current
- Patches, security, and upgrades arrive on the vendor's payroll
- You rent it; the vendor's business depends on maintaining it
- Ages on a managed release cycle
AIGS
- You own it, and nobody is paid to keep it current
- Models, threats, and prices move on someone else's calendar
- Built in days, often by people who have never shipped software
- Ages on the model market's calendar, in months
This is not an argument against AIGS. The wave is here, it is good, and an ocean of software is coming. It is an argument for what has to surround it: real requirements before generation, adoption treated as the hard part, and a standing owner for the aging problem. Software with that discipline has a name: AI-Enabled Software (AIES). Getting from one to the other is what KeyDelta does.
Your teams are already generating software.
The question is what is still running, adopted, and secure in 90 days. Thirty minutes, operator to operator, and you will know which of your AI builds are assets and which are liabilities with a launch date.
Book a 30-Minute Call