Tech companies often pride themselves on innovation. Yet many are making it hard for top talent to join their ranks. The same people who spark growth and breakthroughs feel shut out. What went wrong?
A Shift from Fuel to Electric
Picture a fast sports car roaring down the highway. Now imagine the driver decides to switch to electric power before the right infrastructure exists or expects the same driving KPIs 🙂 from the electric car. Driver expects to charge in 5 mins as he used to do with ICE, or may expect the same roaring from new EV engine.
In the same way, many tech firms raced to cut staff and automate roles. Their “fuel”—the human workforce—no longer feels vital. When they realize they need real people again, it’s hard to shift back. This is what I have seen in many companies.
Many software companies tried to reduce the engineering cost by shifting jobs to cheaper people. And/or many companies made it by handing jobs to employees from different cultures.
Confusing Job Postings
Many skilled professionals these days searching online for new jobs. But many listings aren’t genuine or match their skills correctly. Whether ghosting and fake jobs are true or not, the result is the same: top candidates feel discouraged. They apply and rarely hear back. What I am seeing is, they are leaving the tech job market to provide their own services.
On the other hand, many companies rely on mass job boards or outdated tracking tools, leading to piles of unqualified resumes. Many companies are flooded with fake, AI generated resumes. This flood makes it tougher for actual human experts to stand out.
Hey ChatGPT, this is my resume, this is the job requirements, create me a resume that rewrites my previous experience matching with this job requirements, and able to pass HR algorithms.
In 10 seconds, you have some sort of resume. Repeat it for 100 next jobs. In two hours’ time, a talent can flood 100+ resumes to HR systems.
It turns out an (Employeer) AI vs (Employee) AI war.
Automated Resume Screens
Companies often turn to software or junior staff to filter resumes. That seems efficient. Yet it can reject people with unusual profiles or non-traditional backgrounds. Some AI systems flag certain words or dismiss outliers. The best applicants can get lost in the shuffle. In the quest to streamline, firms risk losing potential star hires before an interview even happens.
Borrowing Heavy Interview Methods
Many businesses mirror giant corporations when interviewing. They set up long, repetitive tests and demand actual project work as part of the process. It’s understandable to want thorough screening. But each added layer may drive away strong candidates, especially those with busy schedules or multiple offers. Is it worth losing them to gather a bit more data?
Paying Too Much for the Wrong Skills
Companies sometimes overpay for basic skill sets. In past years, a “data scientist” might only know a little Python. Today, someone labeled an “AI specialist” might just be good at prompts. There’s no problem with entry-level talent, as long as companies understand what they’re buying. Mistakes happen when leadership confuses a basic skill set with real innovation or deep problem-solving abilities.
Ignoring the “Electrician”
True experts spot issues early. They might say, “There’s a hidden circuit issue in this system, and it will cost a lot if we don’t act now.” When leaders shrug this off, they risk larger, pricier problems later. Skilled professionals are like such electricians who catch a small spark in wall wires before it starts a fire to destroy the building. Tech teams that dismiss this advice end up facing expensive damage control down the road.
From a personal standpoint, I can clearly say many managers I used to work with ignores the electrician.
Building a Better Hiring Path
Is the situation hopeless? Hardly. Tech companies can bounce back with a few steps:
- Clear, Honest Job Ads: Post real openings with clear requirements. Don’t waste time or trust on phantom roles.
- Gentle Screening Tools: Use AI carefully. Make sure it doesn’t block smart, creative people who just have different keywords.
- Balanced Interviews: Test for competence, but skip drawn-out tasks that feel like free labor. Respect candidates’ time.
- Fair Compensation for Real Skills: Understand what you need—whether it’s advanced coding, design insight, or data expertise—and pay accordingly.
- Listen to Experts: Value the “electricians” who warn of hidden risks. They might save you a fortune later.
Final Thoughts
Talented employees are still the lifeblood of every thriving tech company. The hiring process should respect that. By using direct yet thoughtful practices, organizations can attract the right people without driving them away. The key is simple: treat job seekers like the valuable assets they are, and they will power the next wave of innovation.
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