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Study Finds ChatGPT Weakens Memory and Focus

Research | July 14, 2025

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New Study Finds ChatGPT Use Weakens Brain Engagement in Writing Tasks

A new study from MIT and partner universities, "Your Brain on ChatGPT" shows that using ChatGPT during essay writing reduces brain activity, memory recall, and feelings of ownership over the work. The study included EEG scans, human interviews, and AI scoring, and concluded that essays completed with the help of ChatGPT often looked polished, they led to lower mental effort and weakened learning.

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The findings are red flags for any parent with kids in school using ChatGPT frequently for tasks AND also professionals in other sectors including fintech that rely on chatGPT for everyday tasks.

Top 5 Verified Takeaways

1. ChatGPT lowers brain activity during writing

Brain scans showed that students using ChatGPT had the lowest levels of brain connectivity, especially in the alpha and beta frequency bands. These waves are linked to attention and executive thinking. Students who wrote without tools had the strongest brain engagement (See:  Figure 1, pg 1).

2. Most ChatGPT users couldn’t remember what they wrote

This takeaway is particularly shocking.  After writing, 83% of ChatGPT users couldn’t quote anything from their essays, and none could quote accurately. Only 11% of the students using search engines or writing without tools had the same issue (See: pg 31).

3. Students feel less ownership of the essays written by ChatGPT

Only 50% of the ChatGPT group said the work felt like theirs. Of course almost all students in the 'brain only' group said they fully owned their writing (See:  pg 32).

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4. ChatGPT essays looked similar and lacked originality

The AI essays often use the same phrases, structure, and focus on the same topics. The Natural Language Processing analysis shows that the variety of words used and topics explored were much lower than in essays written without AI support (See:  Summary of Results, pg 3).

5. AI assisted essays scored well but but reasoning was shallow

Although essays written with the help of ChatGPT received high marks from both human and AI judges, they lacked strategic integration and complex thinking. The authors called this a “surface benefit with hidden costs” (See:  pg 3).

Implications for Fintechs

The learnings from this study directly impact financial technology companies.  Many roles in fintech now rely on daily interaction and use of generative AI tools like ChatGPT, Gemini, Claude, Grok, or Amazon's Nova.  While these tools boost speed and productivity, they will likely lead to reduced learning, memory loss, and lower capacity to make effective decisions over time.  Below are five examples of how this could play out in a fintech business setting.

Customer Support Teams

Human call centre support agents that rely too much on AI to provide customers with quick and accurate responses, could find that they lose their ability to explain policies clearly, troubleshoot issues, or respond creatively.

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If supporting complex financial products, this type of low recall and engagement ability is a risk.

Market and Data Analysts

Analysts using LLMs to write summaries or market updates may understand less of the data they’re reporting. Over time, this reduces their ability to identify trends, make forecasts, or provide insightful context beyond what AI benchmarking provides.

Product Managers Writing Business and Design Plans

PMs who use ChatGPT to write roadmaps, product and UI/UX specs could find themselves suddenly missing the deep thinking needed to balance tech feasibility, user needs, and regulation. AI can help write the document but a less than focused PM may not fully get the reasoning behind it.

Compliance and Legal Teams

Compliance staff using AI to draft internal policies could easily miss critical legal nuances. A polished draft that's considered 'confidently complete' by ChatGPT could contain subtle errors or regulatory gaps, causing major issues or backlash.

Weakens Experience and Skill Development

Entry-level staff using ChatGPT to write emails, explain APIs, or summarize client meetings might look super productive but are learning less. If that's the case, then their reliance on ChatGPT will weaken their longer term skill growth and reduces the quality of future fintech leadership.

High-quality output without high-quality thinking may look efficient but can quietly lower capability.

Conclusion

This study shows that while ChatGPT improves the speed and polish of writing, it comes at a cost.  Users are less mentally engaged, remember less of what they create/co-create, and feel less connected to their work.

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In fintech, similar over reliance on chatGPT for writing could lead to weaker analysis, skill development, and reduced capacity to do regular job-orientated tasks.  Fintechs should keep their brains are sharp as possible, or develop AI systems/tools that augment human thinking, not replace it. 


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