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AI IS GIVING PHARMA EMPLOYEES INSTANT ANSWERS. BUT IS IT WEAKENING CRITICAL THINKING?

Have you ever noticed how quickly people now turn to AI instead of stopping to think things through themselves?


Across industries from retail to pharma, employees are using AI tools to answer questions, summarise information and solve problems in seconds. The speed is impressive. But according to a BBC article published this week, there is growing concern that instant AI answers could weaken the very skills organisations rely on most.


The Royal Observatory Greenwich warned that “a reliance solely on instant answers risks losing the habits of questioning and evaluation that underpin knowledge, expertise and innovation.”


For Learning and Development leaders, this highlights an important shift. The challenge is no longer simply teaching employees how to use AI. The bigger challenge is making sure employees can think critically enough to use AI safely and effectively.


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AI Is Giving Pharma Employees Instant Answers. But Is It Weakening Critical Thinking?

The first wave of AI learning focused heavily on digital capability. Organisations invested in AI awareness workshops, eLearning and digital learning solutions to help employees understand tools like ChatGPT and Copilot.


But is AI weakening critical thinking?


Employees are beginning to rely on AI answers without properly evaluating them. Researchers call this “cognitive outsourcing”, where people hand over thinking tasks to technology instead of applying their own judgement.


That creates real risks in highly regulated industries like pharma.


Imagine a team using AI-generated medical summaries without checking original sources, or employees relying on inaccurate compliance information because the answer “looked right”. AI can sound confident even when it is wrong.


The problem is not the technology itself. The problem is whether employees have the decision making and critical thinking skills to challenge what they are seeing.


Why Human Judgement Still Matters

The BBC article references how scientific discoveries throughout history relied on curiosity, questioning and exploration. Early astronomers collected huge amounts of data that later became critical for discoveries nobody could have predicted.


AI does not naturally think like this. It aims to produce the fastest and most likely answer.

Humans bring something different. They apply context, ethics, scepticism and experience. In industries such as pharma, those qualities matter enormously because decisions can affect patient safety, compliance and organisational reputation.


This is why many Learning and Development leaders are beginning to rethink their priorities. The organisations gaining the most value from AI are not necessarily the ones with the most advanced tools. They are the ones developing employees who can evaluate information properly and make sound decisions under pressure.


What This Means For L&D

Traditional learning programmes focused heavily on knowledge transfer. But modern Learning and Development solutions increasingly need to build judgement, not just knowledge.


That means creating blended learning solutions that encourages employees to analyse information, challenge assumptions and make decisions in realistic scenarios. It also means using learning impact evaluation to measure behavioural change rather than simple course completions.


As AI becomes part of everyday work, critical thinking is becoming a commercial skill, not a soft skill.


The organisations that succeed will not simply train employees to use AI. They will train employees to think well alongside it.


FAQs


Why is critical thinking becoming more important with AI?

AI tools can generate fast and convincing answers, but they are not always accurate. Employees need critical thinking skills to question outputs, evaluate evidence and make informed decisions.


What is cognitive outsourcing?

Cognitive outsourcing happens when people rely on technology to complete thinking tasks they would normally do themselves, such as analysing information or making decisions.


Why is this especially important in pharma?

In the pharmaceutical industry, poor decisions can affect patient safety, compliance and organisational reputation. Human judgement remains essential.


How can Learning and Development improve decision making?

Through blended learning programmes, realistic scenarios, collaborative exercises and training that encourages learners to challenge assumptions and evaluate information critically.


What skills should pharma organisations focus on alongside AI training?

Decision making, critical thinking, ethical reasoning and evidence evaluation are becoming increasingly important as AI becomes more common in the workplace.

 

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