AI in eWater

In this inaugural HyTech episode, Rob Hygate reflects on a week of major AI announcements from Anthropic, OpenAI, and Google, focusing less on benchmark gains and more on what cheaper, faster, more autonomous models mean for real businesses. He argues that the true shift is economic: as intelligence becomes less expensive, companies can analyze more data, automate more workflows, and tackle problems that were never worth the human time before. Using eWATER Services as a case study, he explores how AI could help monitor water taps across multiple countries, reduce operational latency, assist developers, and support technicians with faster diagnosis. The episode also draws a clear line between useful autonomy and the need for trust, permissions, logging, and human oversight when systems touch critical infrastructure and payments.