We live in an age of unprecedented convenience. Need to choose a restaurant? Ask artificial intelligence (AI). Unsure about a career move? Consult a chatbot. Struggling with a business decision? Let an algorithm crunch the numbers.
AI has become our ever-ready adviser, available around the clock, never tired and never judgemental.
The concern is not unfounded. Decision-making is a cognitive muscle. Like any muscle, it strengthens through use and atrophies through neglect.
Every time we wrestle with ambiguity, weigh competing priorities or commit to a choice despite uncertainty, we are exercising that muscle.
But when AI consistently delivers ready-made answers, we skip the struggle entirely. The mental gym closes, and our judgement grows soft.
Consider how the Global Positioning System (GPS) has eroded our sense of direction. Studies have shown that habitual GPS users perform worse on spatial orientation tasks than those who navigate by memory.
The same principle applies to decision-making.
When we habitually defer to AI for conclusions, we lose confidence in our own reasoning. We become hesitant, second-guessing ourselves even on matters we once handled with ease.
Over time, the dependency deepens.
Yet here lies a paradox worth exploring: the very tool that threatens our decisiveness can also become our greatest training partner – if we change how we use it. Here are five strategies to consider:
> Treat AI as a Socratic companion rather than an oracle
Instead of asking, “What should I do?”, ask, “What are the trade-offs between Option A and Option B?” or “What blind spots might I be missing?”
This reframes AI from a decision-maker into a thinking partner. The final call remains yours, and that is precisely the point.
> “Think First” protocol
Before consulting AI, take a few minutes to write down your preliminary judgement and reasoning. Then, compare it with AI’s response. Where did you align? Where did you diverge? What did you overlook?
This reflective exercise sharpens critical thinking far more effectively than passively accepting AI-generated answers.
> Use AI as a devil’s advocate
After making a decision, present your reasoning to AI and explicitly ask it to challenge your logic, identify weaknesses and offer counterarguments.
This stress-testing approach builds intellectual resilience and forces you to defend your choices with rigour – a practice that strengthens conviction and analytical depth.
> Deliberately maintain “AI-free zones” in your daily life
Reserve certain categories of decisions – what to cook for dinner, which route to take to work, how to spend your weekend – for unassisted judgement.
These seemingly trivial choices are repetitions in the decision-making gym, keeping your cognitive reflexes sharp for when the stakes are higher.
> Keep a decision journal
Record your significant choices, the reasoning behind them, whether AI was consulted, and the eventual outcomes.
Periodic review reveals patterns in your thinking – your strengths, biases and growth. It transforms decision-making from an unconscious habit into a deliberate skill.
The broader lesson here mirrors what good educators have always known: the best teachers do not give answers; they ask better questions.
AI, at its best, should function the same way. It should expand the boundaries of our thinking, not replace the thinking itself. The goal is not to reject AI but to use it in a way that makes us sharper, not softer.
In an era where algorithms can outperform us in speed and data processing, our uniquely human edge lies in judgement, intuition and the courage to decide under uncertainty. These are not skills we can afford to let rust.
As the old saying goes, “Give a man a fish, and you feed him for a day; teach a man to fish, and you feed him for a lifetime.”
In the age of AI, the wisdom still holds – let the machine show you the river, but never stop casting the line yourself.
Dr Lau Chee Yong is an assistant professor and programme leader for Computer Engineering in the School of Engineering, as well as lead of the Visionary AI Studio at the Asia Pacific University of Technology & Innovation (APU). His professional credentials include a PhD in Bioelectronic Engineering. He is a Chartered Engineer in the United Kingdom, a Professional Engineer in Malaysia, an Asean Chartered Professional Engineer, a European Engineer, an International Professional Engineer, and a Malaysian Registered Technology Expert. He serves on the committee of the Electronic Engineering Technology Division at the Institution of Engineers Malaysia. The views expressed here are the writer’s own.
