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Freedom251 › Blog › Artificial Intelligence

Goldman’s Marco Argenti Says AI Turns Developers Into “Managers of Managers”

By Freedom251 Team · · 2 min read

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TNW’s accessible summary frames AI as shifting developers toward overseeing AI agents, but it does not establish that Goldman Sachs engineers already work this way or provide the interview’s supporting examples. The summary does report that more than 12,000 of Goldman’s 47,000 staff are in what it calls the bank’s “first AI wave,” and that the bank assumes its models will make mistakes.

What the “managers of managers” headline means

The phrase is TNW headline wording, not a verified quotation from Goldman Sachs executive Marco Argenti. It suggests a possible change in a developer’s role: rather than handling every step of a task directly, a person may delegate work to AI systems and oversee their outputs. The accessible TNW summary does not provide Argenti’s full argument, examples, or a detailed account of how this would work at Goldman.

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What TNW reports about Goldman’s AI rollout

TNW’s indexed summary says more than 12,000 of Goldman Sachs’ 47,000 staff are in the bank’s “first AI wave.” The summary does not define who counts as part of that group, explain how the figure was measured, or give a publication date for the report. These numbers should therefore be treated as TNW’s reported figures, not as a defined measure of AI adoption across Goldman. The Next Web

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Why the reported assumption of errors matters

TNW also says Goldman assumes its AI models will make mistakes and builds around that assumption. That is a useful principle for interpreting the headline: delegating tasks to AI does not remove the need for human judgment. But the available summary does not describe Goldman’s safeguards, review process, or the kinds of mistakes it anticipates. It cannot support claims about specific controls or show how responsibility is divided between developers and AI systems.

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What the available report does not establish

  • Whether Argenti used the headline phrase himself.
  • Which AI models, coding assistants, or agent platforms Goldman uses.
  • Which developer tasks are delegated to AI or how engineers review the results.
  • Whether the reported AI rollout has increased productivity or changed staffing.

Without the article text, the headline is best read as a framing of a potential shift in developers’ work—not as a verified description of Goldman’s engineering workflow.

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Artificial IntelligenceGoldman SachsMarco ArgentiSoftware Development

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