Why Even Top Talent—and Top Companies—Are Struggling in the Age of AI Hiring
- Vivian Chang
- May 31
- 3 min read
Introduction:
This morning, I was scrolling through TikTok and saw a video that stopped me. It talked about how hard it is to get a job now—even for people with impressive credentials, years of experience, and top skills. But here’s the thing: it’s not just job seekers who are frustrated. Companies are struggling too—they’re not finding the right candidates, even when they’re right in front of them.
It reminded me exactly why I created AI in HR training, especially two courses: AI Interview Strategies and AI Bias in Hiring.
These courses weren’t built for theory—they were built for this moment.
Both sides are unprepared for the shift AI has created in hiring. Job seekers don’t know how to navigate AI screening, and employers don’t realize how much good talent they’re missing due to flawed automation and biased systems. Most people don’t know that the right training—on both sides—can bridge this gap. Once we understand the pain points and learn how to adapt, hiring becomes faster, fairer, and far more effective.
Section 1: The Rise of AI in Recruitment
AI is transforming hiring faster than most people realize.
Widespread Adoption: As of 2025, 99% of hiring managers incorporate AI into their recruitment processes, with 98% reporting improved efficiency.
Automated Rejections: Around 70% of companies allow AI to reject candidates without any human oversight.
Bias Concerns: Despite its promise of objectivity, AI often replicates bias—amplifying existing issues in resume screening and candidate selection.
📉 Even new graduates are feeling the pressure. The Class of 2025 is entering a difficult job market as AI takes over many entry-level roles. According to The New York Times, employers are using AI to perform tasks once assigned to junior employees—especially in finance and tech. The New York Fed reports a 5.8% unemployment rate for recent grads, and Anthropic CEO Dario Amodei warns that AI may soon eliminate half of all white-collar entry-level jobs. This shift is happening faster than schools, students, or companies can adapt.
Section 2: The Candidate's Dilemma
Even highly experienced professionals are being rejected—not because they aren’t qualified, but because:
Their resumes aren't optimized for AI screening systems (ATS).
Automated interview tools misinterpret tone or responses.
Recruiters rely too heavily on AI without human review.
Companies and candidates both lack practical training on how AI actually works in the hiring process.
Section 3: Why I Built Crossworknet Courses
This is exactly why I created:
✨ AI Interview Strategies – to help job seekers understand how to work with AI in resume screening, video interviews, and question analysis.
✨ AI Bias in Hiring – to help HR professionals and recruiters recognize bias, audit AI tools, and make fairer, more ethical hiring decisions.
AI doesn’t have to be the enemy. But if we don’t prepare now, both sides will lose.
Section 4: What You Can Do Now
📌 If you’re a new graduate or a senior professional: Learn how AI hiring tools work before you apply. Don’t just focus on your skills—learn how to present them clearly to machines and humans.
📌 If you’re a recruiter or leader: Make sure your hiring process isn't excluding great talent through flawed AI filters. Train your team on bias, fairness, and transparency.
Final Thought: AI Is Here—But So Is the Opportunity
This hiring crisis isn’t just about automation. It’s about the lack of guidance and preparation.
With the right knowledge, job seekers can stand out—and employers can hire smarter, more fairly.
Let’s not lose talent because the system didn’t know how to see it.
📍 Visit Crossworknet.com to explore practical training built for this AI shift—before it’s too late.
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