AI in the Workplace: 5 Realities Every Job Seeker Needs to Understand About AI

By: Beth Schaefer, IPD Director
My introductory AI article, AI, Am I Right? suggested that I do not intentionally use Artificial Intelligence (AI) in the workplace, but in reality, I use AI all the time for my work. AI will eventually level out and become more efficient, but it’s not going to leave the workplace; therefore, let’s discuss how to get the most from your AI interactions with the series AI in the Workplace.
And, let’s start at the beginning: using AI to secure a job. Whether you love AI or distrust it, the truth is simple: job seekers who understand how AI screens, sorts, and evaluates candidates will outperform those who don’t. Here are 5 realities that job seekers need to navigate.
- Your AI prompts determine your results.
To work with AI, you’re going to need to use AI, so learning best practices for AI will be a good investment of your time. Any use of AI is all about the prompt. I highly recommend this free course on AI prompting. Even if you do the first 3 modules, it will make your use of AI more accurate and efficient. This “old” adage still applies: Bad data in; bad data out.
2. Your resume must pass an algorithm before it reaches a human.
While not every job you apply for may use an Applicant Tracking System (ATS), an estimated 90% of companies are using them including 99% of Fortune 500 companies. These systems use algorithms to screen and score resumes much faster than human review.
This raises the importance of including the correct keywords in your resume. For example, if the job description says project coordination, and your resume says project support, the ATS may not match them — even though a human would. ATS systems match patterns, not concepts. Even so, do not use the “kitchen sink approach” for resume keywords, since ATS’s have a 67% rejection rate of resumes that have 20+ skills listed. Instead tailor each resume to each posting you apply to.
3. ATS parsing errors eliminate qualified candidates every day.
An ATS parses out a resume by extracting pieces of information by category. Parsing out, to me, is an old-fashioned phrase that my grandma would use (“I will parse out the strawberries so each of you gets the same amount.”) For resumes, the parsing categories are:
• Name
• Contact info
• Job titles
• Dates of employment
• Skills
• Education
• Certifications
If this information is presented in an unsupported format, such as a text box, it will be difficult for the ATS to find the information, and your resume may not pass ATS screening. The ATS rate of rejecting resumes due to formatting is 12% and for parsing issues (not being able to find the most necessary information for whatever reason), the rejection rate is 23%. To see if your resume is readable to AI, use a free resume checker. Some of those options are in the resource list at the end of the article.
4. AI can reduce bias — or amplify it.
One of the reasons employers want to use AI for screening is that it can reduce the bias that humans bring (often subconsciously) to the applicant screening process. This is good news for those who are most often eliminated due to bias; however, bias doesn’t disappear just because a machine is involved — it simply becomes harder to detect.
The bad data in, bad data out rule applies here as well.
The rules an ATS uses to screen candidates are set by humans. Unless those rules are set by a skilled person who is deliberately trying to remove bias, the algorithm might end up with the same biases as the humans involved. Currently, there are no existing laws or regulations for using ATS that ensure the process is equitable or even meets existing HR guidelines stated on an organization’s website.
As a job applicant, you cannot influence unconscious bias from an ATS any more than you can from human review. But the next time you apply for a job that you seem perfect for, and you do not move forward in the process, know that the candidate selection process, with or without ATS, is still far from perfect.
5. AI can help you prepare for interviews more effectively than ever.
Some organizations are using AI to conduct first-round interviews; therefore, they use AI to talk to AI. Use your newly acquired prompting skills to predict interview questions and prepare responses. If you can prompt better than your other candidates (and this includes using AI for company research), you will be better prepared. Do refrain from just having AI write your responses, or you will just sound like AI- and maybe like all the other candidates. Remember, the interview technique: STAR. State the situation or challenge; explain your task or role in the situation; describe the action you took and emphasize the result you achieved. This will help keep your interview answers focused on you rather than AI’s generic responses.
If you’re entering the job market, AI isn’t optional — it’s part of the process. Use it intentionally, understand how employers use it, and you’ll have a better chance of standing out in a crowded field.
Whether you’re actively sending out resumes or haven’t job-hunted in years, this is a lot of information to unpack. And, this is just the tip of the iceberg of job-searching in the AI world. Your best bet for uncovering what is below the surface might just be AI itself.
Visit the sources used to write the article below to learn more.
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