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Amazon used its recent re:Invent showcase in Las Vegas to pitch a future where AI functions as a colleague rather than a support tool.
Executives from Amazon Web Services urged companies to prepare for autonomous “frontier agents” capable of running extended tasks with minimal oversight. AWS CEO Matt Garman told attendees he expects these agents to represent the next 80% to 90% of enterprise AI value.
The announcements comes as Amazon sheds about 14,000 corporate roles, following a previous major reduction after CEO Andy Jassy warned that AI would reduce headcount. An Amazon spokesperson said the current cuts are unrelated to AI adoption and directed attention to comments from Beth Galetti, Senior Vice President of People Experience and Technology, who framed the changes as an effort to streamline operations and redirect investment.
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Still, the promotion of AI coworkers arrives as Amazon restructures its workforce, prompting customers and employees to question how agentic systems may affect jobs across industries. Colleen Aubrey, Senior Vice President of Applied AI Solutions at AWS, outlined companies managing groups of agents that operate for hours or days, with humans stepping in as supervisors.
HR leaders eye potential job impacts
A new MIT study estimated that AI capabilities could touch roles equal to roughly 11.7% of the US labor market, although only 2.2% of jobs have been affected so far. Research from organizations such as IDC and the World Economic Forum indicates new roles may emerge to oversee agentic workflows, even as others disappear.
Inside the corporate world, the relationship between AI and staffing remains uneven. Sanjay Bhakta, chief product and technology officer at Condé Nast, said the company’s technology teams “use AI for our work on a day-to-day basis, which eliminates the need for some roles. We can do more things with fewer people. But other than that, across the organization, we have not really had an AI-based impacts.” Condé Nast has undergone multiple rounds of layoffs since 2023.
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Adoption challenges remain
AWS leaders acknowledge that organizations are at different stages of readiness. Garman said change is required to adopt these systems, and companies will adapt once they see efficiency benefits.
He said: “Part of that is because it is going to take change. People are going to have to change how they think about work.”
Amazon pointed to its internal use of agentic tools, which assist tens of thousands of engineers by managing outages, proposing fixes and handling routine operations. AWS calls these systems “team mates,” signaling a deliberate shift toward normalizing AI within core job functions.
The company’s push continues even while employees express concern over the speed and fallout from its deployment. For now, the AI coworker remains more of a strategic bet than daily reality, with Amazon’s own workforce feeling its early effects first.
