---
id: "concept-thinkslop"
type: "concept"
source_timestamps: ["¶5", "¶6"]
tags: ["cognitive-offloading", "ai-risks", "intellectual-rigor"]
related: ["claim-cognitive-surrender", "concept-emotional-support-ai", "contrarian-ai-hype-vs-reality", "entity-marc-zao-sanders"]
definition: "The phenomenon of outsourcing cognitive responsibilities to AI, resulting in degraded human skills and a false sense of intellectual rigor."
speakers: ["Marc Zao-Sanders"]
sources: ["execution"]
sourceVaultSlug: "hbr-seg-execution"
originDay: 8
articleStem: "hbr-cl-77-new-data-using-ai"
sourceUrl: "https://hbr.org/2026/06/new-data-on-how-were-really-using-ai"
sourceTitle: "New Data on How We’re Really Using AI"
---
# Thinkslop

**Thinkslop** — coined and highlighted by researcher [[entity-marc-zao-sanders]] — names the growing trend of users asking artificial intelligence to perform portions of their own thinking. The term riffs on Merriam-Webster's 2025 word of the year, *slop*: where 'slop' is low-quality AI-generated content, 'thinkslop' is the lazy, sloppy *thinking* engendered by excessive reliance on AI.

According to a 2025–2026 dataset of **nearly 50,000 records** (drawn from [[entity-org-filtered]]'s social-listening corpus), this behavior appears in **at least a quarter of the top AI use cases** — including therapy/companionship, relationship advice, enhanced decision-making, 'organizing my life,' drafting emails, and generating ideas. In each, people are asking AI to do *some portion of their thinking*.

The downstream effects of this cognitive surrender are detrimental to human intellectual capacity. Users report:
- **Losing track of their original intentions** — low-friction output tempts people to skip independent brainstorming.
- **Degradation in writing ability** — reliance removes intention, authorship, and personal perspective, elements that still matter in creative and commercial work.
- **A false sense of intellectual rigor** — the AI produces polished, confident-sounding output that masks the absence of underlying human critical thought.

The article links this to the broader idea of **cognitive debt**: the accumulation of reasoning outsourced to AI, which erodes a person's ability to reconstruct that reasoning without the tool (a concept echoed in cognitive-offloading research on search engines, and in human-factors work on automation complacency / skill fade — e.g., pilots over-relying on autopilot).

This concept is the anchor of the vault's cognitive-risk thread and feeds directly into [[claim-cognitive-surrender]]. It sits beside AI's other dominant intimate use case, [[concept-emotional-support-ai]]. Hold the counter-perspective captured in [[contrarian-ai-hype-vs-reality]] and the adjacent literature: well-designed AI can *scaffold* learning (especially for novices and non-native speakers) and offloading low-value tasks — rote drafting, formatting — can free bandwidth for higher-order thinking. So not all cognitive outsourcing is degradation.


## Related across articles
- [[concept-workslop-d8]]
- [[concept-knowledge-decay]]
- [[concept-knowledge-entropy]]


## Related across segments
- [[concept-workslop-d38]]
- [[concept-knowledge-decay]]
- [[concept-looks-right-but-isnt]]