Re:I wanted to build vertical SaaS for pest control, so I to...
by tezclarke on Wednesday March 25, 2026 @12:54AM
(#47513437)
The best outcome is bespoke software for every company and small "ops heavy" (in startup context) startups have a window to grow like weeds. Imagine the culture shock and legal / procurement process for an established player to bring a vendor in to build this for them. It won't work, it needs to be an internal team, but even then, the internal politics, and short term affects to people's bonuses and incentives will make it almost impossible.
Re:I wanted to build vertical SaaS for pest control, so I to...
by tezclarke on Wednesday March 25, 2026 @12:58AM
(#47513464)
I give this example as I previously worked at a big European REIT. My job was to implement renewable energy across the portfolio which on paper was a no-brainer due to legislation and grants / feed in tariffs etc.
We got huge pushback from every angle with the local teams, people paying lip service to drag it out and delay. Eventually I got to the root cause... The capex had to come out of the business unit, and the payback would negatively affect their KPIs and bonus. Next time I came across this kind of issue, I asked to see the incentive structure before approaching anyone.
I recently talked to a few companies in the AI space, from (smaller) frontier model labs to companies still looking to build "AI products" and my take away was that, if you're not working for one of the big players, the market hasn't really figured out if there is an "AI engineer" job yet.
I'm increasingly starting to believe that the future of work for people that have technical skills (more than just 'software') is likely going to be working in places that are less about "shipping software" and more about supporting teams doing something physical in the real world.
These companies are also the most ripe to truly leverage AI: they have tons of messy problems that need to be solved and iterated on extremely fast. Operations people tend to be "EoD" deadline people, not quarterly planners. Getting solutions solved in an actionable way on time often means really understanding the core business, the technical space surrounding it, and how to leverage AI to pull of some miracles. It can be stressful, but when you pull it off your stakeholder have sincere and real gratitude and you're actually moving the needle for the company.
I don't think the Bay area, even those sniffing the AI vapors the hardest, is really willing to accept what AI is going to do to software and software companies.