What everyone gets wrong about the modern job search—and what actually works Gaby Clark Scientific Editor Andrew Zinin Chief Editor Job searching has never been more accessible—or more confusing. Platforms like LinkedIn, Indeed and employer career pages let candidates submit applications with just a few clicks. What happens after they click "submit," however, has become fertile ground for misinformation.

Social media is filled with "career influencers," resume writers, recruiters and companies promising insider knowledge of how hiring really works. Much of this advice focuses on misinformed claims about applicant-tracking systems (ATS) and artificial intelligence. These services profit from job seekers' uncertainty by convincing people they need specialized services, tools and products to "beat" the ATS and secure interviews.

The result is that many job seekers spend time and money following advice that has no basis in evidence. Here are four common myths about the job application process and what the research actually says. Myth 1: 75% of resumes are rejected Perhaps the most widely repeated claim online is that 75% of resumes are automatically rejected by an ATS before a human recruiter ever sees them.

The statistic originated in a 2012 sales pitch by Preptel, a resume optimization company that went out of business the following year. No methodology was ever published, yet the figure has spread widely. In reality, an ATS is software that helps employers manage applications, and its capabilities vary widely.

Some systems function as digital filing cabinets, simply storing and organizing applications. Others automatically screen for basic requirements, such as mandatory eligibility questions. At the most sophisticated end, systems use AI to rank applicants, recommend candidates and analyze asynchronous video interviews.

The advanced AI-powered tools are typically found in large organizations, including many Fortune 500 companies, which receive enormous volumes of applications. In Canada, most employers do not use AI in hiring, and small businesses—which employ more than 60% of the workforce—are especially unlikely to rely on ATS. Small businesses typically lack both the application volumes that make ATS worthwhile and the procurement infrastructure to adopt and maintain them.

For most Canadian job seekers, the better strategy is to focus on clearly communicating how their skills and experience match the role and on building relationships within their profession. Myth 2: AI can write a winning resume A common message from career influencers is that AI can generate a tailored resume or cover letter that dramatically improves your chances of getting hired. While AI can help candidates prepare application materials more efficiently, it is not a shortcut to a stronger application.

As more candidates rely on the same tools and prompts, applications increasingly sound similar, and recruiters take notice. Far from providing a competitive advantage, AI-generated applications may have the opposite effect. Seventy-four percent of hiring managers report identifying them, and 80% view them unfavorably.