Brokerage Clerks

In practice, many tasks of brokerage clerks are already handled by computer systems, and some are starting to use AI. For example, banks are testing AI “chatbots” and voice assistants to answer routine customer questions. One news article noted a big Australian bank used an AI voice bot to take over basic client inquiries, cutting dozens of call-center jobs ^[1]. (That bank later paused the plan when customers still needed human help ^[2].) Studies also show “customer service” roles fell sharply after new AI tools appeared ^[3].

In other words, simple questions and data-entry are being automated. By contrast, tasks like filling out unusual forms or solving complicated account problems still rely on people. Even filing and ledger work is mostly done on computers now: O*NET notes that clerks “document Security transactions…using computers, accounting ledgers, or certificate records” ^[4].

In sum, routine chores (basic calls, standard forms, or posting trades) can be largely automated or assisted by software, while the human clerk is still needed for exceptions, judgments, and personal touch ^{[1] [2]}. Experts even say the best use of AI is to help workers rather than replace them – for instance by handling repetitive parts of a task so humans can focus on tricky cases ^[3].

There are good reasons to use these tools, but also reasons to be cautious. On the plus side, AI tools like chatbots or robotic software (RPA) are commercially available, and they can save money by doing boring work faster. In fact, some banks are investing billions in tech upgrades to automate back-office jobs ^[1].

However, the cost of setting up AI systems can be high, especially when regular clerks can be hired for modest wages today. More importantly, financial tasks are sensitive and regulated. Firms worry about errors in money handling or data privacy.

When that Australian bank rushed an AI solution, it had to backtrack amid customer complaints ^[2]. Unions and clients often prefer human workers for personal or complex problems and have pushed back on too-fast automation. For example, after the bank cut jobs for its AI pilot, it promised retraining and new roles instead ^[1].