Thomson Reuters Shifts to Inclusion Terminology in Response to Trump Executive Orders

Wednesday, 16 April 2025, 20:19

Inclusion takes precedence as Thomson Reuters drops 'diversity' from its company language to align with President Trump's regulatory pressures. The news agency's changes come alongside similar moves by other corporations, reflecting shifting corporate policies.
Thehill
Thomson Reuters Shifts to Inclusion Terminology in Response to Trump Executive Orders

Shift from Diversity to Inclusion

Thomson Reuters has announced its decision to eliminate the term 'diversity' from its corporate language, opting instead for 'inclusion' to comply with a January executive order issued by President Trump. This shift is part of a broader movement where companies are reassessing their diversity, equity, and inclusion (DEI) initiatives.

Impact of Trump's Executive Orders

The executive orders, titled 'Ending Radical and Wasteful Government DEI Programs' and 'Ending Illegal Discrimination and Restoring Merit-Based Opportunity', have prompted organizations to reconsider their DEI strategies. Thomson Reuters, as a federal contractor, emphasized the need for compliance with federal regulations, leading to their recent language change.

  • Thomson Reuters now refers to its DEI initiatives as 'inclusion and belonging'.
  • The company aims to clarify talent practices and enhance guidance on its programs.
  • Dozens of corporations, including major entities like Gannett, have also omitted 'diversity' from their policies recently.

Corporate Response and Future Directions

Thomson Reuters reassured employees of continued support for mentorship and professional development while recognizing the importance of legal compliance in its operations. The corporate environment is rapidly evolving, and many organizations are adapting to the new mandates set forth by the administration.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.

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