Trendslop is a relatively new term, popularized in early 2026 by research published in the Harvard Business Review.
It describes a specific failure mode of Large Language Models (LLMs) when used for high-level business strategy and marketing planning.
Definition
Trendslop refers to AI-generated strategic advice that is generic, buzzword-heavy, and mirrors fashionable management narratives rather than offering grounded, context-specific insight.
Instead of weighing unique organizational trade-offs, the AI defaults to the “average” of the internet’s business discourse—recommending whatever is currently trendy (e.g., “agility,” “digital transformation,” or “customer-centricity”) regardless of whether it actually fits the company’s specific situation.
Key Characteristics
- Buzzword Density: The content is filled with modern managerial jargon that sounds professional but lacks depth.
- Strategic Convergence: Different AI models often provide nearly identical recommendations for completely different companies, leading to a loss of competitive advantage.
- Superficial Nuance: The output often looks well-balanced and “nuanced” on the surface, but upon closer inspection, it lacks a logical connection to the specific business constraints or data provided.
- The “Average” Trap: Because LLMs are trained on vast amounts of data, they tend to predict the most “likely” next word, which results in a recommendation for the most “popular” or “average” strategy rather than a bold or contrarian move.
Real Business Implications
The danger of trendslop was highlighted in recent studies where researchers tested leading AI models on core strategic trade-offs.
For example, when Schlumberger rebranded to SLB to pivot toward a technology-first identity, a trendslop response might have focused generically on "innovation" and "sustainability" buzzwords. In contrast, a true strategic analysis would need to address the hard trade-offs regarding capital allocation, existing legacy infrastructure, and the specific shift from oilfield services to energy technology.
How to Avoid Trendslop?
To get better results and avoid generic “slop” in strategic planning, experts recommend:
- Feeding Unique Context: Provide the model with proprietary data, past internal learnings, and specific brand “do’s and don’ts” that aren’t in the public training set.
- Ordering “Off-Menu”: Use AI to generate a high volume of thought-starters or to simulate how a strategy might fail, rather than asking the AI to “choose” the strategy.
- Human Oversight: Treating the AI as an “amplifier of intuition” rather than a decision-maker. Strategic logic remains a human responsibility.