Artificial intelligence has become almost impossible to ignore. From drafting emails and summarising documents to answering technical questions, AI tools are increasingly becoming part of everyday working life. It should come as no surprise, therefore, that candidates studying for professional qualifications are beginning to use these tools as part of their revision.
The question is not whether candidates are using AI. Many already are. The more interesting question is whether they should be.
Like most technology, AI is neither inherently good nor bad. Its value depends entirely on how it is used.
There are undoubtedly some genuine benefits. Candidates studying complex technical subjects often use AI tools to explain difficult concepts in simpler language, create revision timetables, or provide alternative explanations when a topic is proving difficult to understand. For learners who may be studying alongside full-time work and family commitments, these capabilities can be incredibly useful.
In many ways, AI has the potential to become a highly effective study companion. It is available 24 hours a day, can adapt explanations to different levels of knowledge and can provide immediate feedback. For candidates struggling with motivation or unsure where to begin, these tools can help reduce some of the barriers to getting started.
The challenge will be ensuring that convenience does not come at the expense of understanding.
However, there is an important distinction between using AI to support learning and relying on it as a source of technical truth.
One of the most significant limitations of generative AI is its tendency to present information confidently regardless of whether that information is accurate. This phenomenon, commonly referred to as an “AI hallucination”, occurs when a system generates plausible-sounding content that is factually incorrect.
Within financial services, where legislation, tax rates and regulatory requirements can change frequently, this presents a particular challenge. A candidate who accepts an AI-generated answer without verification may unknowingly be learning outdated or incorrect information.
This risk is especially relevant in professional examinations. Candidates are ultimately assessed on their understanding and application of technical knowledge. An AI tool may provide an answer, but it cannot sit the exam on the candidate’s behalf. Success still relies on the individual’s ability to recall information, interpret questions and apply knowledge appropriately under exam conditions.
There is also a broader consideration for the profession itself.
Financial advice has always required professional judgement. Technical knowledge is important, but so too is the ability to evaluate information, challenge assumptions and determine whether a recommendation is suitable in a particular context. These skills are difficult to develop if candidates become overly reliant on technology to provide answers rather than understanding the reasoning behind them.
This does not mean AI should be avoided. On the contrary, understanding how to use emerging technologies effectively is likely to become an increasingly important skill for future advisers. However, candidates should approach AI in the same way they would any other source of information: as a tool to support learning rather than replace it.
The most effective use of AI may be to enhance understanding rather than provide answers. Asking a system to explain a concept or test understanding is very different from asking it to complete the thinking process entirely.
As the profession continues to adapt to technological change, the challenge will not be deciding whether AI has a role in learning (because for most candidates, it almost certainly does). The challenge will be ensuring that convenience does not come at the expense of understanding.
Professional exams are designed to assess knowledge, application and judgement. Those remain fundamentally human skills, regardless of how sophisticated the technology becomes.
