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Gillian Graham
Gillian Graham has invested 17 years in Allstaff, rising to the position of Director, where she oversees the Office and Professional Services, Engineering, and Manufacturing Permanent Divisions.
If you’ve typed a question into ChatGPT, asked Google’s AI overview for job advice, or seen someone on LinkedIn talking about using AI to write their CV, you’ve probably wondered whether you should be doing the same.
The short answer is yes – but with some caveats worth knowing about.
AI tools have changed how jobs are advertised, how CVs are screened, and how candidates prepare for interviews. Used well, they can save you significant time and help you put your best foot forward. Used badly, they can produce generic applications that get filtered out before anyone reads them.
This guide gives you a practical overview of where AI genuinely helps in a job search, with links to more detailed guidance on each area.
This is where most candidates start, and it’s one of the most genuinely useful applications. AI tools like ChatGPT or Google Gemini can analyse a job description, identify the keywords an employer is prioritising, and suggest how to reflect those in your CV.
The reason this matters is that many employers, particularly larger ones hiring at volume for warehouse, production, engineering, and office roles, use Applicant Tracking Systems (ATS) to filter applications automatically. If your CV doesn’t contain the right language, it can be screened out before a human ever reads it.
AI won’t write your CV for you — at least not well. But it will help you tailor what you already have to each role you apply for, which is the single most impactful thing you can do to improve your application success rate.
Read more: How to Use AI to Write a CV That Gets Past ATS
Most candidates underuse AI here, which means there’s a real advantage to be gained. Paste a job description into ChatGPT and ask it to generate the most likely interview questions for that role. Then ask it to help you structure your answers using the STAR method (Situation, Task, Action, Result) based on your own experience.
It’s also worth knowing that some employers now use AI-assessed video interviews, where your recorded answers are evaluated by software before a human sees them. Preparation for these follows the same principles as any competency interview, but clarity and structure matter even more.
AI can get you well prepared. Just make sure you practise your answers out loud, not just in text — they’re different skills.
Read more: How to Use AI to Prepare for a Job Interview
The big job boards all use AI to match candidates to roles. Your profile, search history, and past applications all influence what gets shown to you. Keeping your LinkedIn profile complete and up to date means the platform’s algorithm is more likely to surface you to recruiters who are actively searching, even when you haven’t applied for anything.
AI is also useful for thinking beyond your exact job title. Ask ChatGPT: “Based on my background in [sector], what other roles could I be applying for that I might not have considered?” Someone with production experience might be a strong candidate for quality control, shift supervision, or process improvement roles — AI can map that out quickly.
For roles that don’t appear on the main boards, particularly in manufacturing, engineering, and logistics, Google’s job search feature often surfaces listings from company career pages and recruitment agencies that get less visibility elsewhere.
Read more: How to Use AI for Networking and Finding Hidden Jobs
The most common question candidates ask about AI isn’t how to use it, it’s whether it’s going to take their job. It’s a fair concern, and it deserves a straight answer.
In most of the sectors Allstaff works in, AI is changing what jobs involve rather than eliminating them. The skills that remain hardest to automate, practical hands-on knowledge, problem solving in unpredictable situations, team leadership, and communication, are the same skills that make experienced workers in manufacturing, logistics, and engineering genuinely difficult to replace.
What is shifting is what employers look for at the hiring stage. Being comfortable with data, adaptable to new systems, and able to demonstrate your value clearly in an application are increasingly important regardless of sector.
Read more: Will AI Take My Job? What Workers in Manufacturing, Logistics and Engineering Need to Know
AI is a tool, not a recruiter. It doesn’t know the local job market, which employers are actually good to work for, what the culture is like in a specific office or warehouse, or what salary is realistic for your experience level in your area.
It also can’t build a relationship with a hiring manager, vouch for your reliability, or put your name forward for a role that hasn’t been advertised yet. That’s what a good recruiter does.
At Allstaff, our recruiters work across Glasgow, Paisley, and central Scotland placing candidates in warehousing, logistics, manufacturing, engineering, accounts, marketing, and office support roles. We review every CV personally and work with you directly — not just your application data.
If you’re looking for your next role, browse our live vacancies or send us your CV and we’ll be in touch.