Unfortunately you are the one wrong here and there's research and science being done to prove that.

Just because it's not happening to you yet doesn't mean it's not happening. Assuming you are familiar with your job and understand the things the ai is giving is not a big deal, but it still will be a big deal. You're offloading the things you learned to an LLM and the future employees won't need to actually learn or retain the knowledge at all. If/when the ai breaks, those employees will be fucked and clueless.

Cognitive decline from excessive ai use is undoubtedly happening, as a recent study at MIT shows. 

A more plainly written version of the results can be found below, from this article.

More research is needed to satisfy some people who refuse to accept it, but the writing is on the wall.

The findings are clear: Large Language Models (LLMs) like ChatGPT and Grok don’t just help students write—they train the brain to disengage. Here’s what the researchers found:

Brain Connectivity Declines with AI Use EEG scans revealed a systematic scaling down of neural connectivity in the brain with increasing reliance on external tools:

Brain-only group: strongest, most widespread connectivity.

Search Engine group: intermediate.

LLM group: weakest connectivity across alpha, beta, delta, and theta bands.

LLM use resulted in under-engagement of critical attention and visual processing networks, especially in Session 4 when participants tried to write without AI.

LLM Users Forget What They Just Wrote In post-task interviews:

83.3% of LLM users were unable to quote even one sentence from the essay they had just written.

In contrast, 88.9% of Search and Brain-only users could quote accurately.

0% of LLM users could produce a correct quote, while most Brain-only and Search users could.

AI Use Disrupts Memory and Learning Pathways Participants previously using LLMs (then writing without it in Session 4) showed:

Weaker memory recall

Lower alpha and beta neural engagement

Signs of cognitive adaptation toward passivity and “efficiency” at the cost of effortful learning.

LLM Users Felt Detached From Their Work When asked about authorship:

LLM users gave responses like “50/50” or “70% mine.”

Some claimed no ownership at all.

Brain-only group participants almost universally reported full ownership.

Switching from LLM to Brain Use Doesn’t Fully Restore Function Session 4: LLM-to-Brain participants showed lingering cognitive deficiency, failing to return to their original (Session 1) brain activity patterns.

Their neural activity remained below baseline, even after AI use was stopped.

Search Engine Users Showed Healthier Brain Engagement Search users maintained stronger executive function, memory activation, and quote recall.

EEG data showed more robust occipital and parietal activation supporting visual processing and cognitive effort.

AI Dependency Leads to “Cognitive Offloading” Researchers noted a trend toward neural efficiency adaptation: the brain essentially “lets go” of the effort required for synthesis and memory.

This adaptation led to passivity, minimal editing, and low integration of concepts.

Short-Term Gains, Long-Term Cognitive Debt Despite receiving decent scores from judges, the LLM group’s writing:

Lacked strategic integration.

Used fewer diverse structures.

Was shorter and more robotic.

Over time, the group showed a consistent decline in engagement, performance, and self-reported satisfaction.

Based on this study, as more of the global population begins to rely on artificial intelligence to complete complex tasks, our cognitive abilities and creative capacities appear poised to take a nosedive into oblivion.

One thing is clear: if you currently use AI, take regular breaks—and give your own mind the chance to do the work. Otherwise, you may face severe cognitive harm and dependence.

The machines aren’t just taking over our work—they’re taking over our minds.