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Home / Business and Economy / AI at Work: CEOs Marc Benioff Claim Big Numbers

AI at Work: CEOs Marc Benioff Claim Big Numbers

17 Dec, 2025

•

Summary

  • CEOs claim AI handles significant work, but metrics lack transparency.
  • Vague AI percentage claims can cause employee anxiety and erode trust.
  • Some experts believe AI changes work without causing mass layoffs.
AI at Work: CEOs Marc Benioff Claim Big Numbers

Leading tech executives are increasingly citing impressive figures on how much work artificial intelligence performs within their companies. CEOs like Marc Benioff of Salesforce and Satya Nadella of Microsoft have publicly stated that AI handles substantial portions of tasks, from coding to customer support. These claims aim to position their companies as AI leaders and signal future cost savings.

Despite the precision of these numbers, detailed explanations of their calculation methods are scarce. Experts question how 'work' is defined and measured, pointing out that metrics like lines of code or hours saved can be ambiguous. This lack of transparency fuels skepticism about the true impact and significance of these AI contributions.

The messaging also raises concerns among employees, who may interpret these claims as a precursor to job displacement, potentially eroding trust and hindering AI adoption. While some analysts foresee AI transforming knowledge work without mass layoffs, others emphasize the need for clear communication and a human-centric approach to AI integration.

Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
Salesforce CEO Marc Benioff stated that AI handles up to 50% of all work at the company.
The measurement methods for AI's work contribution are often vague, lacking common frameworks for defining metrics like lines of code, tasks completed, or hours saved.
These statements can cause anxiety among employees, who may fear job automation, potentially eroding trust and hindering AI adoption within organizations.

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Business and Economyside-arrowArtificial Intelligence (AI)side-arrow

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