Turns out, managing bots is just as annoying as managing people

Even setting up the agents can come with a legal headache.

Nicholas Cohen, a 20-year-old intern at solar and energy storage development firm Headwater Energy, said the “biggest challenge” is preparing data for efficient use in agentic workflows.

“You can’t just chuck an agent into a Citadel or a big multi-strat firm, and expect everything to be compliant,” Cohen, who also founded energy AI company Redr Labs, said. “Especially if it’s not trained in-house.”

Even platforms like AWS Bedrock, which allow companies to keep their data within their own environment, can still pose compliance risks, Cohen said. Building models in-house and training them on proprietary data may offer companies greater control, he added, but doing so requires significant computing power and can quickly become expensive.