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A Researcher Was Fired After 17 Years for Using ChatGPT at Work. Understand Who He Is, How It Happened, and Why the Case Raises Controversies About Automation.
A researcher was fired for using ChatGPT even after 17 years of service, in an episode that raises alarms in the corporate world about the adoption of artificial intelligence. The case occurred in a company whose details were not fully disclosed, but it generated a significant impact by showing that, beyond innovation, a conflict arises between automation and labor rights.
The researcher, Kevin Contrera, used ChatGPT to streamline routines but saw his practice interpreted by the company as crossing boundaries, culminating in his dismissal.
What Happened and Who Was Affected
Kevin Contrera, with a long history of dedication, suffered termination despite a 17-year trajectory at the organization.
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He justified the use of ChatGPT as a way to optimize tasks: “one more collaborator,” in his own words.
However, the company understood that the use of the tool could characterize a deviation of function or reduce the necessity of his human work.
Another 12 employees were also dismissed at the same time, according to reports from the corporation.
When and How the Dismissal Occurred
The dismissal occurred in 2025, after a period in which Kevin had already been incorporating the use of AI into his workflow.
Until then, the use was acceptable or at least tolerated. He used ChatGPT to enhance texts, speed up research, and improve deliveries.
At a certain point, the company decided to reorganize the structure and maintained only a core responsible for checking automated or AI-assisted tasks.
Consequently, Kevin and others were let go.
Even so, he received compensation proportional to his 17 years of service, which indicates formal recognition of his labor rights.
Motivations and Conflict with Automation
For Kevin, the adoption of ChatGPT was not aimed at replacing his work but complementing it.
He wanted to eliminate operational bottlenecks to focus on what requires human judgment: interpretation, critical analysis, and final supervision.l
However, institutions are not always prepared to deal with individual innovation initiatives.
When a company does not formalize guidelines for the use of AI, well-intentioned actions can be seen as acts outside the agreed-upon norms.
This tension between individual automation and rigid organizational structure was evident in Kevin’s case.
Additionally, the episode highlights an emerging issue: to what extent can the use of ChatGPT be interpreted as a threat to employment?
The case shows that, even with good intentions, the worker may be considered susceptible to dismissal if their tasks seem replicable or replaceable.
Reactions and Broader Implications
The case of Kevin Contrera mobilizes reflections on labor policy, organizational law, and ethics in the use of AI.
First, it questions whether there is space for legislated innovation within companies— or if employees are left vulnerable to the use of technology in a regulatory “limbo.”
It also prompts a review of how corporations are defining human responsibilities and automation.
If the use of ChatGPT can lead to dismissal, it raises insecurity for those wishing to modernize work methods.
From a social perspective, the episode can serve as a warning: companies, unions, and lawmakers need to build legal frameworks that guide the use of tools like ChatGPT, protecting both innovation and labor rights.
With information from Diário do Litoral.
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