I think AI agents are useful when they actually remove extra work rather than just being added because they’re trending. For SaaS products, reliability and ease of use still matter most, and AI should support those things instead of making the product more complicated.

AI agents could affect adoption when they give users a reason to use the product more often or bring more of their work into it. For example, if an agent can handle reporting, follow-ups, or routine tasks without jumping between tools, that creates a practical reason to stick with the product. If it only answers questions inside the app, I don’t see it changing adoption much.

There’s a difference between AI as a differentiator and AI as expected infrastructure. Search and notifications went through the same cycle eventually, they stopped being selling points and just became things users assume will work. AI agents may be heading there too.

The “AI teammate” framing has become almost default in product updates, but the real question is whether it’s solving a genuine problem or just checking a box. Most buying decisions still come down to reliability, pricing, and whether the product actually works.

I noticed this too with a SaaS that was created recently within my campus, inasmuch as everything was working perfectly and there was no need for one i still found an AI agent within the SaaS. Its almost as if alot of SaaS don’t feel complete without it and one practical example is the AI DJ in Spotify. If the AI saves me time or handles something I’d normally have to do myself then great but If it’s just there because every competitor has one, I probably won’t use it much.

Honestly, I think we’re already seeing a bit of AI agent fatigue. Every product seems to have one now, but having an agent doesn’t automatically make the product better.

I think AI agents will become expected but not necessarily differentiated. The differentiation will move to how well the agent works that is accuracy, context, integrations, permissions, speed, reliability and whether it can actually complete tasks. This is similar to how nobody buys a mobile phone today because it has Wi-Fi. It’s an expected feature. The quality of the implementation is what matters.

We are seeing a lot of AI agents being added because SaaS companies feel they have to keep up, rather than because every product has found a genuinely useful agent use case. For me, I believe in what the agent can actually accomplish. If it can take an issue, use the right data, complete the task, and know when to hand it back to a human, that’s meaningful.

I have seen AI genuinely help when it handles repetitive work, pulls the right context, or moves a task toward completion instead of just generating another response. But adding an AI teammate to a product doesn’t automatically make the product better. For me, reliability, ease of use, and whether it actually solves the business problem still matter more.