What an AI career coach does – and what it doesn’t

When career coaches are mentioned nowadays, it no longer conjures up the image of someone desperately thumbing through a dog-eared book that used to be their only source of knowledge.

Things have moved on a tad. Just a bit.

While career coaches still very much exist in human form, there are a widening range of options available to job seekers, including AI career coaches that are at your disposal day and night. As we are all very much aware, AI is evolving at speed in all parts of our lives, so why wouldn’t it be part of the career conversation as well? And it very much is, rapidly embedding itself across the employee lifecycle, from recruitment screening to upskilling and performance analytics.

And it’s only going to get bigger. According to the Office for National Statistics (ONS), in 2023, a mere 9% of UK firms reported using AI, with a projected rise to 22% in 2024, showing that AI is moving beyond experimentation into practical business use. Research from the Chartered Institute of Personnel and Development (CIPD) revealed that 61% of UK organisations allow staff members to apply generative AI for work-related actions, with a further 10% planning to do so. This highlights how swiftly AI tools are being embedded in everyday work tasks, including career pathways.

Within this wider context, a new category of workplace technology has emerged – the AI career coach – with employees increasingly using AI to craft CVs, help with interview prep, discover internal mobility, and map out new career paths. Alongside this, business leaders and CEOs are supporting reskilling, staff retention, and redeployment with AI-powered career frameworks. It’s never been more relevant to scale up focused career guidance during times of skills shortages, restructuring pressures, and rapid digital change.

While it all might sound a bit like science fiction, let’s dig into the facts of what an AI career coach actually does… along with what it doesn’t or can’t do.

This article offers a practical view for HR professionals and business leaders across the UK, with answers to all the questions you have about AI career coaches.

We’ll unpack how AI career coaching works, where it can add value, what its limits are, and how it can be used responsibly by organisations with existing job architecture frameworks. Because while AI may be disrupting the status quo on career management, human judgement, trust, and leadership remain at the centre of it all.

Below are eight FAQs on what an AI career coach is and how it can support the job search process, so let’s start with the most obvious.

A. An AI career coach is a digital tool powered by AI, using large language models commonly known as generative AI, to assist individuals with various elements of their career development.

Typically it helps users by:

• Suggesting career paths and transferable skills.
• Analysing and articulating skills and experience.
• Drafting CVs, cover letters, LinkedIn profiles, and job applications.
• Helping prepare for interviews, with simulated practice and model behavioural responses.
• Delivering tailored guidance on upskilling and reskilling and role fit.

Unlike human career coaches, an AI career coach is available 24/7 and operates at scale, at a much lower cost – or no cost at all – to the end user. But the key thing to remember here is that an AI career coach cannot replace the human side of career coaching, which offers contextual judgement, empathy, career insights, and nuanced life decisions as part of the career development package.

A. On a technical level, AI career coaches cover a variety of different work tasks such as:

• The analysis of input by parsing data delivered by the user such as their CV, experience summaries, and what they ultimately want to achieve.
• Harnessing the use of models, with generative AI predicting relevant responses, routes, and suggestions.
• The use of market data with many commercial tools tapping into labour market insights to align recommendations with real job demand and skills gaps.
• Iterating with feedback where users refine inputs, which ensures the most up-to-date advice.

As an example, AI can quickly identify skills gaps, match participant profiles to UK job adverts, and suggest learning pathways, which is way beyond the capabilities of static job boards. 

Typical AI career coach functions include:

• Optimising CVs.
• Analysing skills gaps.
• Matching jobs to the candidate.
• Simulating interviews.
• Mapping career pathways.
• Offering up career guidance via prompts.

A. There is a very simple answer to this one – and it’s a big no! An AI career coach can never replace a human career coach.

Why not? There are many reasons, but the main ones are:

• A lack of empathy and context – careers are shaped by personal experiences, emotional drivers, barriers, and aspirations that can’t be fully encoded into a data model.
• Judgement and nuance – it’s a well known fact that words only make up a small percentage of our communication, with body language at roughly 55% of this, so coaches are adept at interpreting these non-verbal cues within a context that is way beyond what AI can deliver.
• Complex decision-making – we are complex creatures, us humans, and decisions that involve such a major life shift, such as a career change or career move, will always benefit from the reflective support of a qualified individual.

On the other side of the coin, there are bonuses to what an AI career coach can offer that a human one probably can’t. These include:

• Scaling to thousands of users at once.
• Available on-demand, day or night.
• Providing rapid, data-driven insights.
• Giving out cost-effective baseline support.

Numerous industry bodies, including career professional organisations and trade unions across the UK, emphasise that an AI career coach should complement any human coaching, not replace it. In practical terms, this can be done by using an AI career coach for all data and administrative support, while reserving human career coaches for strategic, contextual, and emotional guidance.

A. Yes, there are many platforms that offer free AI career support. General-purpose AI chatbots, such as ChatGPT, Google’s Bard, and Anthropic’s Claude, aren’t specifically built for career-related questions, but can be effective for job searches and the drafting of CVs. There are some specialised tools emerging that give basic career coaching and / or demo versions of career AI workflows, but these aren’t really established in the UK market yet.

It’s worth pointing out that free tools, not surprisingly, are limited compared to paid systems that integrate interactive dashboards, validated labour market data, and customised development plans.

It’s also worth noting that generic free AI tools might use CVs and other sensitive career data to train future models or improve services. Safety and privacy considerations are covered in more detail further on down in this article.

A. Prompting, which is knowing what information to feed to an AI career coach, is a skill, and can be improved the more it’s done. Strong prompts are what generative AI tools need, as these will lead to better outcomes, so the more information provided, the better the response.

Basic prompting principles are:

• Be specific, so include role titles, industry, and level of experience.
• Give context, with a summary of career goals, constraints, and personal preferences.
• Ask for frameworks such as steps, checklists, or templates, instead of one-off answers.

Example 1: Optimising a CV

“You are an expert CV writer. Rewrite my CV for an Operations Manager role in banking, emphasising strategic leadership and AI-related project experience. Use UK English. Include relevant keywords for banking operations and AI. Provide the complete, rewritten CV ready to submit. It should be compelling to both ATS systems and human recruiters.”

Example 2: Career change

“You are a career transition strategist. Help me plan a career transition from Project Manager to Data Analyst. Firstly, identify which of my project management skills directly transfer to data analysis roles. Secondly, recommend training pathways available in the UK. Thirdly, list job titles I should target as entry points into data analysis. Finally, create a structured career change roadmap for the next 90 days.”

Example 3: Preparing for an interview

“You are an expert recruitment consultant specialising in banking operations. Create a comprehensive list of competency-based interview questions for an Operations Manager role in the banking sector, along with exemplar responses using the STAR method.”

It’s best to treat AI coaching prompts as an ongoing dialogue, so users can refine their responses depending on what the AI career coach offers at the start.

A. AI can act as a useful companion during a career change, particularly with:

• Identifying transferable skills.
• Generating tailored job search materials.
• Mapping paths to relevant industries.
• Suggesting relevant certifications, courses, and educational opportunities to undertake.

Public UK bodies, including the Royal College of Nursing, point out that AI can support matching skills to career pathways, assist with CVs, outline action plans, and simulate interviews. So it’s clear that while AI shouldn’t make the choices, it can inform and accelerate the process of exploring a different career. These AI tools are best paired with a human mentor, especially for major career changes where subjective nuance and long-term strategies are of the utmost importance.

A. With all of our data often so compromised nowadays, protecting privacy and having data safety is vital. So before uploading any personal details or a CV to any AI tool, check:

• Data retention policies to find out how long data is stored for.
• Use of data i.e. will it be used to train future models?
• Compliance with GDPR, as these standards must be met in the UK.
• Confidentiality clauses, especially for workplace AI tools under HR systems.

Specialised AI career systems should comply with professional standards and have strict controls for dealing with data. Be aware that the free tools probably use uploaded data to improve their AI systems, unless stated otherwise.

Best practice is to use anonymised job descriptions and CVs, lean in towards using AI tools that have transparent privacy policies, and check with vendors with regards to GDPR and security certifications.

A. As with all things AI, there are going to be risks involved. Below are the four main ones to be aware of.

Data security

As mentioned above, data could be at risk from being passed on or used, so check this out before using any AI career coach.

Governance and compliance

UK firms need to develop AI policies to manage ethical governance, fairness, and legal compliance so the systems align with employer policies.

Bias and fairness

AI models are fed information by humans that has been written by humans, so they can inadvertently emphasise racial, gender, or class bias in job suggestions and language. This should be guarded against for and not replicated.

Over-reliance

There’s a risk that someone applying these easy-to-use tools for their job search will come to rely solely on AI. Remember that these tools should support, not replace, human judgement and insight.

The most important thing to take away from this is to use an AI career coach to complement human career coaches as a powerful augmentative tool. To sum up:

• Speeds up repetitive and administrative tasks.
• Swiftly uncovers relevant patterns and career insights.
• Delivers customised and on-demand guidance.

• Can’t replicate emotional intelligence or human judgement.
• Should never be used as the sole decision-making tool.
• Perpetuates data risks if not applied correctly.

The key is to responsibly integrate AI with human coaching capacity and use it to enhance, not replace, career development and guidance from career experts.

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