AI is changing how we work, from telecom hubs to tiny shops

The transformation is moving in two directions at once. At the corporate level, firms like AT&T are using AI to automate manual tasks, such as managing network settings or disconnecting service for customers. This move toward automation is leading these companies to cut thousands of jobs, as they move away from labor-intensive infrastructure like old-fashioned copper phone lines. At the same time, new companies are emerging that offer systems designed to replace entire departments. One startup, Ema, recently raised significant funding for its technology that acts as a digital employee, connecting to a company's existing apps to automate complex tasks across HR, finance, and IT without human intervention.

To understand this change, think of AI like a digital apprentice that is becoming increasingly capable. Traditionally, when you used a software program, you had to manually click buttons to get a specific task done. These new AI systems function differently because they are orchestrators. They don't just do one thing; they can look at several different apps at once, understand the goal, and complete a multi-step process from start to finish. Behind the scenes, these systems rely on models, which are essentially the digital brains that have been trained on vast amounts of data to recognize patterns and generate responses. By connecting these brains to workplace tools, companies can effectively automate the work that used to require a human to switch between different tabs and spreadsheets. The AI doesn't get tired and it doesn't need to be guided through every single click.

This shift creates a strange paradox. On one hand, companies are using these tools to do more work with fewer people, leading to significant workforce downsizing in large, established industries. On the other hand, organizations like OpenAI are simultaneously running massive training programs, teaching everyone from small business owners to gig workers how to use these same tools to launch side projects or make their own work more efficient. We are entering a phase where the ability to manage and govern these automated systems—rather than performing the manual labor ourselves—is becoming a vital skill. Whether this technology ultimately creates more opportunities than it displaces remains the central question for the future of work.