The transition is reshaping daily operations across industries. Salesforce, for instance, has introduced job-ready agents for customer service and sales, equipping staff with tools to train these systems. At Wipro, Chief Technology Officer Sandhya Arun reports that AI has already provided the productivity equivalent of 20,000 workers, envisioning a near future where a single engineer directs a fleet of automated agents. Similarly, at the startup Daytona, CEO Ivan Burazin notes that his 16 engineers now oversee roughly five AI agents apiece, moving away from hands-on coding toward supervisory roles.
For professionals like Sinda Khenine, a software and AI engineer at Electrolux, this evolution presents a complex trade-off. While agents have accelerated her ability to build products, the nature of her craft has fundamentally changed. She now spends her hours selecting models, establishing rules, and verifying outputs rather than engaging in the direct problem-solving she originally pursued. Khenine describes the process as a demanding feedback loop that requires constant monitoring and intervention. Despite the added layer of responsibility, the role remains categorized as individual contribution, leaving workers to manage complex digital systems while their actual compensation remains tethered to their original job descriptions.

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