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At HydroTerra, we are increasingly incorporating artificial intelligence into our day‑to‑day operations to improve the way we monitor, analyse and report environmental data. We have seen in our recent webinars how its application continues to grow and change how we do things, and exponentially how our suppliers are also adopting this technology.

Of course in the day to day in every role we have also seen the most profound change in the most time poor. The ability to produce comprehensive decisive clear minutes from every meeting is amazing.

From my perspective, the most positive outcome so far is how it assists those whose English is a second language, to communicate more efficiently.

So we are getting more efficient! 😀

What’s the worry? Well for me, it’s potentially short term gain long term pain for our scientists and engineers. The industry needs to be careful.

“Work it out for yourself and talk to a senior mentor, is being replaced with, copy AI!” AI is infinitely confident and always available. It’s a terrible mentor and also often wrong. Its disclaimer says it all ” AI‑generated outputs may be inaccurate, incomplete, or out of date.”

So in an age where mentoring and oversight is slipping, the chances for increased hidden liabilities for engineering firms is increasing. AI-driven insights are still advice and liability remains with the firm if clients rely on them.