AI Slop is Quietly Eroding Trust
Meet the expert
Rodion Myronov
VP Technology, Data & Analytics
What’s Trending
While OpenAI’s Sora and Meta’s Vibes flood social media with AI-generated content, enterprise leaders face a quieter threat: AI slop — low-value, Gen AI-generated noise creeping into reports, emails, and decision-making.
Market Disruption or Hype
AI slop is quietly eroding trust. The real risk isn’t hallucinations or copyright. It’s the perception that enterprises no longer care enough to communicate with intention. In a world of algorithmic averages, originality is the new credibility.
Even without hallucinations, AI text is often just an average of its training data, rarely original. Which means producing original statements with AI is hardly possible.
Multiplied by the ease of AI use, this leads to tons of non-differentiated content, which sends one message: We did not care enough to actually write something. LinkedIn is a good example.
To understand AI content creation, think of Jorge Luis Borges' “The Library of Babel”:
This library theoretically holds every conceivable book, from a unified theory of everything to a user's life story. The challenge is finding those treasures amid the noise. For every coherent idea, there are "leagues of senseless cacophony, verbal nonsense, and incoherency," making true discovery nearly impossible.
Why It Matters
Our clients are beginning to recognize that unchecked AI use can undermine brand trust and internal clarity. Some are responding by investing in curated knowledge assets (corporate knowledge graphs, semantic models, and master data management solutions) to preserve message integrity and differentiate. And they’re doing so productively, often with AI’s help.
What’s Being Overlooked?
The assumption that AI-generated content is “good enough” is dangerous. The oversupply of generic output is creating a hunger for trusted, people-authored, and well-structured information. Without differentiation, companies risk irrelevance or mistrust.
Opportunities and Hurdles
Opportunities
- AI tools are widely accessible, providing convenience and efficiency.
Hurdles
- Convenience can lead to complacency.
- Few organizations have clear governance or usage guidelines for AI tools.
- Lack of oversight can impact internal communications and client-facing assets.
- Poor implementation can allow slop to go unnoticed.
SoftServe’s Approach
We help clients build trustworthy, structured knowledge systems using:
- Semantic modeling
- Master data management
- Responsible AI frameworks
