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Critique on Performative Culture in AI and Business

@martin_casado· July 28, 2026 View original

Summary

The post criticizes the tendency for "performative" culture in both traditional business and AI adoption, where the appearance of productivity often overshadows actual results. It suggests that while AI can be transformative, it can also be a distraction if not applied properly.

The author expresses concern about the prevalence of 'performative' culture, observing it not only in traditional business environments but also within the burgeoning field of artificial intelligence. This phenomenon is characterized by an emphasis on appearing productive rather than delivering tangible, meaningful outcomes. The commentary highlights a human inclination to prioritize the optics of work over genuine results, a trait that seems to have carried over into how some organizations approach AI integration. While acknowledging AI's potential for radical transformation, the author cautions that, like any tool, its value is entirely dependent on proper application. Without a clear strategy and focus on real impact, AI initiatives risk becoming mere distractions that add questionable value, mirroring the pitfalls of performative human business practices.

Why it matters

Professionals should critically evaluate their AI initiatives to ensure they are driving actual value and not just creating a facade of innovation, avoiding common pitfalls of technology adoption.

How to implement this in your domain

  1. 1Define clear, measurable objectives for all AI projects before implementation.
  2. 2Establish robust metrics to track the actual business impact and ROI of AI investments.
  3. 3Foster a culture that rewards tangible results and problem-solving over superficial activity.
  4. 4Conduct regular audits of AI tools and workflows to ensure they are genuinely contributing to strategic goals.

Who benefits

ConsultingTechnologyLeadershipProject ManagementAny industry adopting AI

Key takeaways

  • "Performative" culture, focusing on appearance over results, is present in AI adoption.
  • AI can be transformative but also a distraction if not used properly.
  • Organizations must prioritize actual value and outcomes from AI investments.
  • Critical evaluation of AI initiatives is crucial to avoid superficial productivity.

Original post by @martin_casado

"From performative human business culture adding questionable value. To performative AI culture adding questionable value. The human capacity for trying to look productive over actual results never ceases to amaze. @RobertDMellish Oh yes. Probably guilty of a lot of it myself. @Am…"

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