AI dependency at work: Are we outsourcing our thinking?

By Aghilah Nedunchelian

Artificial intelligence (AI) is already a part of our everyday work, yet few organisations have considered how they use it. Well, the question is no longer whether AI should be used, but whether the thinking behind the work still belongs to the people presenting it.

Before this, using AI at work felt like an experiment to us, but today it has become the norm. We use it to draft, summarise, brainstorm, translate, and make decisions. Practically, it does save more time, but it also makes it hard to notice how much we rely on it. 

Most of us are not at that extreme yet, but the habit is growing. The more automatic it becomes, the less we ask ourselves whether we're still doing the thinking.

How does AI affect employees at every level?

The reliance looks different at each stage of a career, but it applies to everyone.

• Early-career employees will easily lean on AI before they build strong foundations, which makes it harder for them to notice weak AI results.

• Experienced professionals may skip using their own judgement by choosing speed over depth.

• Senior leaders may find themselves relying on AI content more instead of shaping their own insights.

Can we still think on our own?

Pause for a moment and ask: When did you last work something out entirely by yourself? Many of us would struggle to answer, and there is a reason for that. Psychologists describe most people as “cognitive misers”, which means, given the choice, we take the route that needs the least mental effort. 

Offloading is nothing new. Nowadays, we save phone numbers instead of memorising them, and just follow the route on Waze rather than learning the route.

But today, the dependence is much bigger. We are no longer just handing over reminders and directions to AI, but also analysis, judgement, and creativity. So, what do we do now? Should we step away from AI? Not at all - we just have to use AI with critical thinking and awareness. Here are four points to show why that matters.

1. Confidence in AI can quietly reduce critical thinking

When we believe AI is always right, we tend to question it less. A Microsoft Research and Carnegie Mellon University survey asked 319 professionals how they use AI at work, and found that those who trusted AI more said they thought critically less often. 

What really stops us from critically analysing AI outputs? The biggest culprit was trust in the tool itself, plus AI answers that are hard to judge, tasks that seem too simple to warrant double-checking, and a lack of time. 

The authors warn that our thinking gets rusty if we don't exercise it, so saving critical thinking only for high-stakes work is risky. (Note: the study is self-reported and cannot prove cause and effect). Even so, their advice is clear: cross-check AI output, judge whether it fits the task, and keep your core skills sharp.

2. Skills fade when we stop practising them

In Poland, physicians’ ability to detect precancerous polyps during colonoscopies without AI assistance fell from 28.4% to 22.4% in the three months after an AI tool was introduced. This pattern mirrors GPS usage: we rely on it so much that our sense of direction weakens over time.

However, this does not mean we should avoid AI. It means choosing what to hand over to it. Tasks that simply need completing, such as drafting a routine memo, are safe to delegate. Tasks that exist to build understanding - such as analysing a case to form an argument - are worth doing ourselves, because this is how we ensure our critical thinking skills stay sharp. 

3. Awareness decides whether AI improves our work

Honestly, AI does not improve everyone’s work equally. In a study of 250 employees at a consulting firm, those given access to ChatGPT produced work that was rated as more creative - but the gains went to the employees who were good at monitoring their own thinking, because they were more likely to use AI thoughtfully and not just out of habit.

Researcher Michael Gerlich found a similar pattern. In his experiment with 150 participants - essays written with prompts that encouraged reflection and revision scored highest. His advice is gloriously simple: work through the problem yourself first, then ask AI for feedback on your answer.

The tool is the same for everyone, but the results depend on whether we stay aware while using it. As MIT’s Jackson G. Lu puts it, “The key issue is not whether but how AI is used. The difference lies less in the technology itself and more in the user.”

4. Hidden AI hides mistakes.

Awareness starts with each of us, but it only lasts when the organisation makes it possible. A global KPMG and University of Melbourne study of more than 48,000 people found that 66% rely on AI output without ever checking its accuracy, and 56% have made mistakes at work because of AI.

The problem gets serious when AI usage is hidden. 57% of employees hide their use of AI and present the work as their own. When this happens, no one can check the work or learn from it, and therefore mistakes pass through unnoticed. 

The lack of support when it comes to AI usage is also concerning: only 47% have had AI training, and only 40% work somewhere with a policy on generative AI. Clear norms, training, and a culture where people can say how they used AI make awareness part of everyday work.

In Summary

• Confidence in AI can reduce critical thinking. The more we trust AI, the less we question it. Be confident in your own skills and keep checking & verifying.

• Skills fade when we stop practising them. Hand routine tasks to AI, and keep the ones that build understanding.

• Awareness decides whether AI improves our work. Think and work through the problem first, then ask AI to critique your answer.

• Hidden AI hides mistakes. Be transparent about how you use AI and back it with training and clear norms.

AI should act as an assistant, not as the decision-maker. The goal is not to think less, but to focus our thinking where it counts. So before you submit, present, or approve that AI-assisted piece, answer one question: is this my thinking, or just my name on it?

Building a culture that helps people evolve with AI

At the People & Culture Conference (PACC) 2026, Women In Tech’s Yuki Aizawa put it plainly, “Technology comes and goes, but employees have to evolve with it.” That evolution does not happen on its own. It grows when leaders model awareness, managers coach it, and teams feel safe enough to practise it.

For 15 years, MIDP has helped organisations understand how people think, feel and behave at work, grounded in psychology and neuro-behavioural science.

Through leadership, communication and psychological safety programmes, and platforms like Speak Up Malaysia and the People & Culture Conference, we help teams use AI deliberately by questioning with confidence and keeping ownership of their judgement.

Let’s build a culture where AI helps, and people still lead. Contact us now for a free consultation!