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Generative AI has been a hot topic in business this year, you can’t join any conversation without people extolling the virtues of AI or bemoaning the impact of AI. Early Careers recruitment hasn’t escaped the influence. For employers, AI promises to reshape how we attract and engage candidates. But as with all powerful tools, the real question isn’t can we use it, but how should we use it?
Candidate Attraction has always balanced efficiency with authenticity. Generative AI now forces us to re-examine what that balance looks like. Done well, it can help us reach candidates more efficiently. Done poorly, it risks diluting your employer brand, undermining your equitable diversity achievements, and eroding trust at the very moment organisations need it most.
Me and ChatGPT have become intrinsically linked in recent months, there’s not a question I haven’t asked it or information I haven’t asked it to interpret! But with 25 years’ experience in marketing, recruitment marketing and now 15 years specifically in early careers talent acquisition, I find myself digging deep to balance my personal views on generative AI and sharing thoughts on what I think it can, and will do, for Candidate Attraction.
In this article I wanted to explore the opportunities, risks and realities of using generative AI in talent acquisition – where it can create real value, and where we need to keep the human touch front and centre.
AI as a Tool, Not a Replacement
Generative AI excels at producing ideas quickly, we actively encourage its use within the Amberjack Attraction team to see if there are twists on ways we’ve previously been creating job advert content, social content or even Attraction campaign ideas. It can speed up the initial draft process, and free up the team for higher-value creative work, data analysis and consulting with clients. But here’s the danger: speed and volume are not the same as quality.
Your Employer brand is built on your unique culture, values and purpose. If employers allow AI to take over messaging wholesale, they risk losing the voice and authenticity that attracts the right candidates in the first place. AI should support your talent acquisition strategy, not replace the creativity, experience and judgement that make employer communications, and your Candidate Attraction campaigns, resonate with your target audience.
The Risk of Homogenisation
One of the less-discussed pitfalls of generative AI is sameness. If every employer uses the same tools to brief and draft job adverts, how do you differentiate? Candidates will quickly spot templated language and cookie-cutter adverts that fail to stand out.
Candidate Attraction is competitive, early careers in particular, and differentiation is critical. Candidates don’t just want “a job”, they want an environment where they can thrive, grow and belong (check out Bright Network’s “What do graduates want? 2025/26 insights report). Generic AI produced content flattens nuance, making it harder for employers to really showcase what’s special about their programmes. It also increases the risk of reducing your Attraction campaigns to a bland, undifferentiated “swipe right” exercise.
Diversity, Equity and Inclusion
AI promises efficiency, but efficiency can sometimes be both at odds with fairness by catering to the masses rather than seeking out underrepresented talent. Algorithms are only as good as the data they’re trained on, and we know historical recruitment data carries bias. If left unchecked, generative AI can replicate, or worse amplify, that bias by subtly changing the language in job adverts, recommendations for sourcing tools, or the tone of voice.
On the flip side, AI can also help reduce bias for all these same issues…
- Changing job advert language – we use tools like Textio to remove social bias in our advert and social content.
- Recommendations for sourcing tools – use generative AI tools to analyse application patterns in your data, improving your reach to underrepresented talent.
- Tone of Voice – setting up brand frameworks within tools like ChatGPT+ allows careful briefing to produce outcomes in your own house style and tone of voice
The key is internationality – employers must actively design AI use to support DE&I, not assume neutrality.
Brand Equity
Another concern is trust. Effective Candidate Attraction relies on building confidence in your brand. Mismanaging AI risks undermining that. If candidates feel they’re interacting with generic, AI generated messaging rather than genuine human engagement, it can weaken the employer-candidate relationship before it even begins.
Guardrails are of course essential. Be transparent about how AI is used both in your Attraction campaign and your recruitment journey and define clear lines where human interaction remains non-negotiable for your business.
From Efficiency to Engagement
At its best, AI doesn’t replace recruiters, creatives and all those experts that have built up years of early careers industry experience – but it does allow them to focus on higher value work. Freeing up time spent on uploading job adverts or drafting content and redirecting your energy into meaningful candidate conversations or face-to-face events.
This is where the real opportunity lies: using AI to handle process, so humans can focus on experience. Integrating AI seamlessly into the background whilst doubling down on authentic, personalised engagement and experiences up front.
The Candidate Experience Paradox
A growing concern has got to be the mismatch between AI assisted Attraction and the AI assisted application. Getting lots of applications right now? Then you’ll know what we’re talking. Students can now use tools like ChatGPT to draft applications, Apps designed to make applications automatically through an AI matching tool, write CV’s and even in some cases assist with their assessments. But does it mean that candidates truly understand your business, your values, or what is required of the role?
The risk of a high number of AI assisted applications at the top end is a higher offer renege rate out the back end, poor long-term matches and disengaged hires. The application process hasn’t required genuine investment of effort or curiosity. Employers must look beyond polished applications and invest in assessments, interviews and experiences from end-to-end that uncover real motivation and fit.
Candidate Attraction doesn’t end when someone applies. Trust is built across the entire journey – from the first Attraction campaign they see, through Assessment, Candidate Management, Onboarding and Learning & Development. AI can support along the way, but if used poorly it risks creating a circle of mistrust. Candidates can feel unseen, undervalued or misled and disengaged. The true test is sustaining engagement and authenticity throughout the process.
So, in a nutshell, what do we like and what don’t we like about the use of generative AI in Candidate Attraction?
What we like:
- AI tools that help combat bias in language and decision-making.
- Data analysis that helps identify the best channels to reach diverse audiences.
- Process automation that frees your team to focus on people, not paperwork!
What we don’t like:
- Bland AI written job adverts that sound the same across industries and employers.
- Over reliance on automation at the expense of human engagement.
- Risk of “application inflation” driven by AI assisted candidates, without genuine understanding of roles or employers
The Way Forward
Where does this leave us? Generative AI is here to stay. And if you believe some people, take over in the next 15 years! It’s potential for better Candidate Attraction is real. But we must resist the temptation to chase efficiency at the expense of authenticity.
Have faith though. There is a winning formula, and it’s easy…
- Use AI to generate insight and efficiency
- Keep humans responsible for engagement and storytelling
- Actively design AI use to promote fairness and strengthen brand trust
- Always remember: candidates want to be inspired, not just processed
AI can make Candidate Attraction smarter, faster, and more inclusive – but only if employers use it with more care, creativity, and a clear sense of purpose. The future of early careers recruitment isn’t machine-driven. It’s human-centred, supported by smarter tools.
Now, the true test is whether you can spot how much, if anything, of this blog I wrote with my new pal ChatGPT 😉
