As AI evolves from single-task tools to autonomous agents, the human role transforms. Instead of simply using AI, professionals will need to manage and oversee multiple AI agents, ensuring their actions are safe, ethical, and aligned with business goals, acting as a critical control layer.

Aaron Levie predicts a new job will be created for technical operators who implement AI agents within enterprise teams. These individuals will redesign business workflows around agents, manage their performance, and handle the necessary change management.

A new specialized role, "AI Ops," is set to emerge, focusing on the operational management of AI systems. This function will handle GPU management, model orchestration, and agent reliability, filling a critical production gap much like DevOps did for software development a decade ago.

Brands will struggle to capitalize on agentic AI if they treat it as a side project for existing teams. Mastering complex AI systems is a full-time job, necessitating the creation of specialized roles like "AI e-commerce manager" to focus exclusively on optimizing these new technologies.

As businesses deploy multiple AI agents across various platforms, a new operations role will become necessary. This "Agent Manager" will be responsible for ensuring the AI workforce functions correctly—preventing hallucinations, validating data sources, and maintaining agent performance and integration.

Companies will move beyond simply giving employees AI tools by building organizational infrastructure to support agent-driven work. This will create entirely new job families focused on coordination, evaluation, and strategy, such as "Agent Ops Engineers," "Context Librarians," and "Experiment Portfolio Managers."

To ensure AI adoption doesn't become "everyone's job is no one's job," create a dedicated AI Operations team. This team, described as the "new BizOps," has a full-time mandate to identify and automate workflows across every company function.

Instead of traditional IT roles focused on software, an AI Ops person focuses on identifying and automating workflows. They work with teams to eliminate busy work and return hundreds of hours, shifting employees from performing tasks to directing AI.

The shift to automated workflows creates a new critical role: the marketing engineer. This person isn't a traditional coder but a strategist who orchestrates, prompts, and validates AI agents. They will manage technology workflows instead of a large human team executing manual tasks.