Why the biggest software companies will be the slowest to change

It is tempting to assume the largest software companies will simply add AI and keep their lead. They are adding it, and some of it is very good. But adding AI to a product designed for people to operate is different from building a product where AI does the operating.

The seat problem

Most business software is priced per user. AI agents reduce the number of users a company needs. A vendor that fully embraces agents is cutting its own revenue base, so the rational move is to sell AI as an add-on that keeps the seats in place. That protects the vendor, not the customer.

The configuration problem

Large vendors serve customers with years of custom fields, workflows and integrations. Every change must stay backward compatible. That pushes AI to the edges of the product, a chat panel here, a summary button there, instead of rethinking the work from the conversation outward.

The go-to-market problem

Enterprise vendors are built to sell large contracts with long cycles. A plumbing company with eight trucks, or a two-partner patent boutique, is too small to be worth a sales rep. Those businesses get the self-serve version of an enterprise product, which is the worst of both worlds.

What this means for buyers

If you run a small or mid-sized business, the next wave of advantage will not come from waiting for your current vendor's AI roadmap. It will come from tools built AI-first for the way you work, priced so that you pay for the work done. That is the opening for new companies, and for the businesses that adopt them early.