Summary

Artificial intelligence today produces a large portion of corporate communications. In her column, author Nicole Kopp reflects on the temptation to produce editorial content in fully automated fashion—eloquent, time-efficient, and barely distinguishable from human authorship. The phenomenon raises questions about authenticity and responsibility. AI systems themselves warn of the consequences of this practice.

People

Topics

  • Artificial intelligence in text production
  • Authenticity and journalistic responsibility
  • Automation of corporate communications

Clarus Lead

The automation of text production marks a turning point in corporate communications and the media industry. While AI systems promise efficiency gains, they simultaneously create risks for credibility and intellectual honesty. The question is no longer technological, but ethical: What standards for transparency and human authorship apply in a world where machines can produce eloquent texts in minutes?

Detailed Summary

Kopp opens her reflection with a personal temptation: AI could write her summer column in a few minutes—eloquent, appropriate in length, with no visible quality deficiencies. The central provocation reads: Who would even notice the difference? This question addresses a growing phenomenon in companies, where text production is increasingly being taken over by algorithms.

The paradoxical element of the column is that even AI systems warn against their own misuse. The author suggests that the technology itself functions as a cautionary voice—a hint at fraud and the lack of authentic engagement with content. This marks a critical moment: automation creates not only efficiency but also potential for deception and diffusion of responsibility.

Key Statements

  • Automated text production is now standard, not exception, in corporate communications
  • Qualitative distinguishability between human and machine is weakening – with consequences for trust and transparency
  • Ethical standards are missing: Declaration requirements and journalistic integrity are endangered by automation pressure

Critical Questions

  1. Evidence/Source Validity: What empirical data demonstrates the extent of AI text production in Swiss companies and media? How was the statement "largely written by AI" verified?

  2. Conflicts of Interest: What economic incentives drive the automation of text production? Do tech companies profit from lack of regulation?

  3. Causality/Alternatives: Does AI use inevitably lead to loss of quality or lack of authenticity, or are regulatory transparency requirements the actual solution tool?

  4. Feasibility/Risks: How can editorial offices and organizations navigate between efficient AI use and editorial integrity? What labeling requirements would be practicable?

  5. Side Effects: Does automated text production reduce the quality of public discourse in the long term through standardization and superficiality?

  6. Accountability: Who bears liability for faulty or manipulative AI-generated content – the algorithm provider or the publisher/organization?

Reference List

Primary Source: "And Then the AI Said: 'You Would Have Done This Column Better Yourself'" – Nicole Kopp, NZZ am Sonntag (19.07.2026) https://www.nzz.ch/wirtschaft/und-dann-meinte-die-ki-diese-kolumne-haetten-sie-besser-selbst-geschrieben-ld.10015405

Verification Status: ✓ 19.07.2026

This text was created with the support of an AI model.
Editorial Responsibility: clarus.news | Fact-Check: 19.07.2026