logo
Is it OK to use AI in your job search? Experts say yes. Here's how to do it right

Is it OK to use AI in your job search? Experts say yes. Here's how to do it right

Sandra Lavoy noticed awkward pauses and hesitation from a job candidate when she asked questions on a video call. The pauses didn't seem natural; neither did the responses.
Lavoy, the regional director at employment agency Robert Half, suspected the candidate was using artificial intelligence to generate answers during a live job interview.
'I questioned it,' she recalled. 'And they jumped off the call.'
That experience wasn't a one-off for Lavoy, so she started asking candidates to show up in person.
With the unemployment rate around seven per cent, those on the hunt for work are looking to get an edge on fellow job seekers. Some are turning to AI to generate pristine, error-free resumés and even prepare for interviews. But that trend has many on the hiring side questioning its ethics.
Companies have started noticing the misuse of AI tools during live interviews and it has become a trend over the last couple of months, said Alexandra Tillo, senior talent strategy adviser at Indeed Canada.
Many recruiters don't mind the use of AI in job searches, Tillo said but it raises an alarm when candidates forgo all personality when writing a cover letter or rely heavily on technology during interviews rather than their own knowledge.
Similar responses to situational or behavioural questions from multiple candidates, with a delivery that lacks emotional intelligence, is what's tipping off recruiters to inauthentic candidates, she added.
'It's very hard to judge someone's skills, especially if the answer is not truly their own and it does lead to a bit of a waste of time ... (and a) lack of trust,' Tillo said.
A tough job market leaves little room for errors from candidates — likely one of the reasons some feel compelled to use AI during live interviews, Tillo speculates.
Employers are taking longer to hire the right candidate: sifting through a heap of applications and relying heavily on AI-powered application tracking systems. Meanwhile, candidates are using AI to insert the right keywords in the hopes of getting through those systems, said Ariel Hennig Wood, career coach at Canada Career Counselling.
'We're losing the personalized resumés and then we're losing the personalized response on the employer side,' she said.
But there are ways AI can be used effectively when looking for work, Wood said.
Her strategy includes step-by-step prompt engineering — telling generative AI programs and apps such as chatbot ChatGPT exactly what it needs to do for every phase of the job search.
'When it comes to employer research, AI can definitely be your best friend,' Wood said. AI could help gather insights on information ranging from a company's turnover rate to why employees like working there.
The next piece is the cover letter. She suggests starting with a generic template borrowed from AI, then personalizing it with your own voice through the right prompts.
'Instead of just saying, 'I want a job,' it should be: 'I want this job, and this is why I'm a good fit. This is why I feel connected to this role,'' Wood said.
Then tailor that research to the resumé and cover letter, while also doing an analysis of the job posting to add the right keywords, she added.
'AI needs to be used in the job search process to be effective against application-tracking systems,' said Wood.
Then, Wood suggested leveraging AI for practice interview questions — such as generating questions you might be asked or pulling out achievements from your resumé to make answers relevant to the job interview.
'You can record yourself answering the interview questions, and then it will give you AI-generated feedback, which can be helpful,' she said. But also get feedback from a friend or career counsellor, Wood added.
Once a candidate lands the job, Wood said AI can help with offer negotiations.
'It can scan the offer and flag anything that may be out of the norm,' she said. 'It could tell you ... where there could be room for negotiation in the offer.'
AI isn't just a tool to polish resumés for Karan Saraf, who is studying public relations and is on the lookout for a job. Some days, he uses it to make sense of his scattered thoughts when applying to a job, while other times, it's about role-playing interviews.
And his strategy worked, landing him interviews in a tough youth job market.
Saraf said as long as he's not plagiarizing or misleading employers, he doesn't feel the need to disclose that he leveraged AI in his job search journey.
'But then, if I'm ever asked this question, I would be honest about it,' he said. 'That's part of being an ethical AI user.'
Wood said an ethical AI user would know exactly what's in their resumé, if questioned.
'I don't believe that you need to go into an interview and say, 'By the way, I prepped with AI for this,'' she said. 'It's such a common tool now that everybody's using and if you are using it ethically, there's nothing to disclose.'
But Carlie Bell thinks that creates an imbalance between employers and job seekers. Upcoming Ontario legislation mandates companies to disclose in their public job postings their use of AI in screening, selecting and assessing applicants starting Jan. 1, 2026. Other provinces haven't yet opted for similar measures.
'It is employers ... who are going to be held to legal standards around this kind of stuff and expectations, but there is still nothing there to really guide the job seekers,' said Bell, director of consulting at Citation Canada.
Bell anticipates employers will also start expecting job seekers to disclose their use of AI for transparency both ways.
Still, using AI in a job search isn't likely to harm a candidate as long as they continue to be creative and talk about personal experiences, Bell said.
'In a world where everybody's the same ... and you're trying to compete essentially against machines on both sides, what we know is that the human really matters still,' Bell said.
This report by The Canadian Press was first published July 13, 2025.
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

What Canadian National Railway (TSX:CNR)'s Reduced Earnings Guidance Means For Shareholders
What Canadian National Railway (TSX:CNR)'s Reduced Earnings Guidance Means For Shareholders

Yahoo

time35 minutes ago

  • Yahoo

What Canadian National Railway (TSX:CNR)'s Reduced Earnings Guidance Means For Shareholders

Earlier this month, Canadian National Railway faced ongoing operational challenges and reported that its expected business turnaround had not materialized, leading to reduced earnings growth guidance. This setback has sparked negative sentiment, with some industry observers drawing comparisons to competitors viewed as better positioned for growth and highlighting alternatives within the sector. With reduced earnings growth guidance in focus, we'll explore how these operational issues may shift Canadian National Railway's investment narrative. AI is about to change healthcare. These 27 stocks are working on everything from early diagnostics to drug discovery. The best part - they are all under $10b in market cap - there's still time to get in early. Canadian National Railway Investment Narrative Recap To be a shareholder in Canadian National Railway, you need confidence in the company's ability to capitalize on long-term shifts toward intermodal and bulk transport as industries focus on supply chain resilience and North American trade. However, the recent reduction in earnings growth guidance directly impacts the key short-term catalyst, an expected business turnaround, and highlights concerns around volume growth, currently the most prominent risk for the business. The news meaningfully shifts investor attention from network advantages to near-term operational execution. Among recent announcements, the second-quarter results stand out. While CN grew net income and earnings per share compared to the prior year, sales have edged lower, reflecting the ongoing volume and demand pressures underpinning the news event. This reinforces the theme that even targeted capital spending and cost discipline will take time to translate into renewed growth, particularly if market conditions stay challenging. In contrast, investors should also be aware that structural shifts in customer routing and industry competitiveness could... Read the full narrative on Canadian National Railway (it's free!) Canadian National Railway's narrative projects CA$19.6 billion revenue and CA$5.6 billion earnings by 2028. This requires 4.6% yearly revenue growth and a CA$1.0 billion earnings increase from CA$4.6 billion today. Uncover how Canadian National Railway's forecasts yield a CA$153.14 fair value, a 19% upside to its current price. Exploring Other Perspectives Simply Wall St Community members provided 12 fair value estimates for CNR ranging from CA$119.59 to CA$170.64 per share. These divergent opinions come as growth in shipping volumes remains a critical uncertainty for the company's ability to regain momentum, explore the range of forecasts and viewpoints from across the Community. Explore 12 other fair value estimates on Canadian National Railway - why the stock might be worth 7% less than the current price! Build Your Own Canadian National Railway Narrative Disagree with existing narratives? Create your own in under 3 minutes - extraordinary investment returns rarely come from following the herd. A great starting point for your Canadian National Railway research is our analysis highlighting 4 key rewards and 1 important warning sign that could impact your investment decision. Our free Canadian National Railway research report provides a comprehensive fundamental analysis summarized in a single visual - the Snowflake - making it easy to evaluate Canadian National Railway's overall financial health at a glance. Want Some Alternatives? Right now could be the best entry point. These picks are fresh from our daily scans. Don't delay: Outshine the giants: these 19 early-stage AI stocks could fund your retirement. The latest GPUs need a type of rare earth metal called Dysprosium and there are only 28 companies in the world exploring or producing it. Find the list for free. Trump's oil boom is here - pipelines are primed to profit. Discover the 22 US stocks riding the wave. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Companies discussed in this article include Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

7 Terrifying AI Risks That Could Change The World
7 Terrifying AI Risks That Could Change The World

Forbes

timean hour ago

  • Forbes

7 Terrifying AI Risks That Could Change The World

There's no doubt about it, AI can be scary. Anyone who says they aren't at least a little bit worried is probably very brave, very stupid, or a liar. It makes total sense because the unknown is always frightening, and when it comes to AI, there are a lot of unknowns. How exactly does it work? Why can't we explain certain phenomena like hallucinations? And perhaps most importantly, what impact is it going to have on our lives and society? Many of these fears have solidified into debates around particular aspects of AI—its impact on human jobs, creativity or intellectual property rights, for example. And those involved often make it clear that the potential implications are terrifying. So here I will overview what I have come to see as some of the biggest fears. These are potential outcomes of the AI revolution that no one wants to see, but we can't be sure they aren't lurking around the corner… 1. Impact On Jobs One of the most pressing fears, and perhaps the one that gets the most coverage, is that huge swathes of us will be made redundant by machines that are cheaper to run than human workers. Having robots do all the work for us sounds great, but in reality, most people need a job to earn a living. Some evangelize about a post-scarcity economy where robot labor creates an abundance of everything we need, but this is highly theoretical. What's real is that workers in fields as diverse as software engineering, voice acting and graphic design are already reportedly being replaced. Fueling this fear is that while international bodies and watchdogs like the WEF have issued warnings about the potential threat, governments have been slow to come out with plans for a centralized, coordinated response. 2. Environmental Harm Operating generative AI language models requires huge amounts of compute power. This is provided by vast data centers that burn through energy at rates comparable to small nations, creating poisonous emissions and noise pollution. They consume massive amounts of water at a time when water scarcity is increasingly a concern. Critics of the idea that the benefits of AI are outweighed by the environmental harm it causes often believe that this damage will be offset by efficiencies that AI will create. But again, a lot of these advances are currently theoretical, while the environmental impact of AI is happening today. 3. Surveillance The threat that AI poses to privacy is at the root of this one. With its ability to capture and process vast quantities of personal information, there's no way to predict how much it might know about our lives in just a few short years. Employers increasingly monitoring and analyzing worker activity, the growing number of AI-enabled cameras on our devices, and in our streets, vehicles and homes, and police forces rolling out facial-recognition technology, all raise anxiety that soon no corner will be safe from prying AIs. 4. Weaponization Another common and entirely rational fear is that AI will be used to create weapons unlike anything seen before outside of science fiction. Robot dogs have been deployed in the Ukraine war for reconnaissance and logistics, and autonomous machine guns are capable of targeting enemies on a battlefield and shooting when given human authorization. Lethal autonomous AI hasn't yet been deployed as far as we know, but the fear is that this is inevitably just a matter of time. From computer-vision-equipped hunter-killer drones to AI-powered cyber attacks capable of knocking out critical infrastructure across entire regions, the possibilities are chilling. 5. Intellectual Property Theft If you're an author, artist or other creative professional, you may be among the many who are frustrated by the fact that multinational technology companies can train their AIs on your work, without paying you a penny. This has sparked widespread protest and backlash, with artists and their unions arguing that tech companies are effectively monetizing their stolen IP. Legal debate and court cases are in progress, but with the likes of OpenAI and Google throwing huge resources into their missions for more and more training data, there are legitimate fears that the rights of human creators might be overlooked. 6. Misinformation AI enables and accelerates the spread of misinformation, making it quicker and easier to disseminate, more convincing, and harder to detect from Deepfake videos of world leaders saying or doing things that never happened, to conspiracy theories flooding social media in the form of stories and images designed to go viral and cause disruption. The aim is often to destabilize, and this is done by undermining trust in democratic institutions, scientific consensus or fact-based journalism. One very scary factor is that the algorithmic nature of AI reinforces views by serving up content that individuals are likely to agree with. This can result in them becoming trapped in 'echo-chambers' and pushed towards fringe or extremist beliefs. 7. AI Will Hurt Us Right back to Mary Shelley's Frankenstein, via Space Odyssey, Terminator and The Matrix, cautionary tales have warned us of the potential dangers of giving our creations the power of thought. Right now, that gulf between fiction and reality still seems uncrossable; it's hard to comprehend how we would go from ChatGPT to machines intent or even capable of maliciously harming us. But the threat of 'runaway AI', where AI begins developing and evolving by itself in ways that might not be aligned with our best interests, is treated very seriously. Many leading AI researchers and alliances have spoken openly about the need for safeguards and transparency to prevent unknowable circumstances from emerging in the future. While this may seem a more distant and perhaps fanciful threat than some of the others covered here, it's certainly not one that can be ignored. Ultimately, fear alone is not a strategy. While it is vital to acknowledge and address the risks of AI, it is equally important to focus on building the safeguards, governance frameworks, and ethical guidelines that can steer this technology toward positive outcomes. By confronting these fears with informed action, we can shape a future where AI serves humanity rather than threatens it.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store