AI is making software cheaper to build. That sounds like an uncomplicated win until the features start going rogue, which is where the tidy business case loses its shine.
Most founders are building AI features that can go rogue. The issue is not the cost of producing software; the issue is what happens when lower costs make it easier to add more software without preserving a coherent design.
That creates a tension at the center of AI development. Cheaper software can help founders build more, but more features do not automatically produce a better product. They can produce a system with behavior that no longer fits the design its creators intended.
Lower Costs Change the Design Equation
When AI reduces the cost of building software, the barrier to adding a feature falls with it. A founder can pursue an AI feature because building it costs less, yet the cheaper construction does not remove the need to decide how that feature should behave.
This is the part of the story that gets buried under the promise of faster, cheaper development. The price of creation may fall while the burden of keeping the product understandable remains. Software does not become simple because its features cost less to produce.
Most founders are building AI features that can go rogue. That claim turns a familiar efficiency story into a design warning: a feature can be affordable to build and still create a problem for the software around it.
“This voice experience is generated by AI.” The quote offers a compact example of the shift in responsibility, because an AI-generated experience is not just another static feature in the background. It is part of what the product does, and its behavior must fit the product’s design.
Rogue Features Are the Real Cost
A cheap feature can carry a cost that does not show up when it is built. If it goes rogue, the problem reaches beyond that single addition and raises questions about how the wider software remains controlled, coherent, and useful.
This does not cancel the value of lower development costs. It changes what those savings mean. The money saved on construction matters only if the resulting software still works as a designed system rather than a collection of AI features competing for attention.
The danger is easy to frame as a failure of technology, but the sharper issue is one of software design. AI can lower the cost of building a feature; it cannot turn an unplanned feature into a planned one. That distinction is not glamorous, but software has never rewarded glamour for long.
Sanjay Gidwani, Forbes Councils Member, and Forbes Technology Council sit within the discussion around this shift. Their inclusion places the issue in a wider technology conversation about how AI changes the work of building software, not only the price of doing it.
As of September 10, 2026, the clearest takeaway is simple: cheaper software development increases the need for discipline around what gets built. Founders are adding AI features, and most are building features that can go rogue; the savings are real, but so is the design risk.
The smart response is not to reject AI or pretend lower costs do not matter. It is to treat every AI feature as part of the software’s design, because a system does not care whether its complexity arrived through an expensive process or a cheap one.
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