When a Firm Handshake Was Enough: The Job Interview Before It Became a Tournament
Somewhere in a filing cabinet in a mid-sized American city, there's probably a personnel folder from 1974 that contains nothing more than a single sheet of paper with a name, a phone number, and a note that says good guy, starts Monday. That was the entire hiring process. A conversation, an impression, a handshake, and a decision.
Compare that to the average white-collar job application in 2024 — a weeks-long process involving an online portal, an AI resume screener, a recruiter call, a hiring manager screen, a technical assessment, a panel interview, a case study presentation, and a reference check — and you start to wonder whether we've gotten better at finding good employees or just better at making people prove themselves.
The Old Way Was Personal. Maybe Too Personal.
Let's be fair about the past. The handshake-and-gut-instinct era of hiring had serious problems. It was informal in ways that frequently disadvantaged women, people of color, and anyone who didn't look or sound like the person doing the hiring. Nepotism was common. Cronyism was practically policy. If you knew somebody, you got the job. If you didn't, you were starting from behind.
But there was something in that process — buried underneath its biases — that is genuinely missing today. It was human. The person hiring you actually met you. They made a judgment about your character, your energy, your fit. They took a risk on a person, not a score.
That kind of hiring created workplaces where people were given chances. Where someone with an unconventional background could walk in, make an impression, and earn an opportunity that a resume scanner would have thrown in the trash.
The Rise of the Hiring Gauntlet
The shift started accelerating in the 1990s and went into overdrive after the 2008 financial crisis, when a sudden surplus of applicants for every open position gave employers the luxury of being choosy. By the time companies started adopting applicant tracking systems (ATS) in the 2010s, the transformation was nearly complete.
Today, estimates suggest that as many as 75 percent of resumes are rejected by automated software before a human ever reads them. The system scans for keywords, filters by degree requirements, and eliminates candidates based on criteria that may have little to do with actual job performance. A candidate can be perfectly qualified and never make it past the first filter because they used the word managed instead of led.
For candidates who do make it through, the process has grown dramatically longer. A 2023 report from Glassdoor found that the average hiring process in the United States now takes more than 23 days — up from around 13 days a decade earlier. In some industries, particularly tech, it's not unusual for a candidate to go through six or seven separate interview rounds over the course of two months.
The Cost Nobody Talks About
There's a financial dimension here that doesn't get enough attention. The modern hiring process is expensive — not just for companies, but for candidates.
Take-home assignments and skills assessments are now standard in many fields. Candidates for marketing roles are asked to produce full campaign strategies. Designers are asked to complete multi-day portfolio projects. Programmers sit through live coding challenges that bear little resemblance to actual on-the-job work. Much of this labor is unpaid, and it falls hardest on people who can least afford to give away their time.
The interview itself often requires time off work, travel, and preparation that represents a real financial cost. A candidate going through a six-round process at multiple companies simultaneously — which is common advice in today's job market — is essentially working a second unpaid job.
Meanwhile, the companies running these processes frequently ghost candidates after weeks of engagement, leaving people with no feedback and no closure. The asymmetry is remarkable: companies demand enormous investment from candidates while offering very little in return until a decision is made.
What the Algorithm Can't See
Here's the uncomfortable question at the center of all this: has it actually worked?
For all the sophistication of modern hiring tools, employee retention in the United States remains a persistent challenge. The Great Resignation of 2021 and 2022 revealed that millions of Americans were deeply mismatched with their jobs — not because they lacked the skills on paper, but because the fit, the culture, and the human relationship simply weren't there. None of the assessments caught it.
What the algorithm can't measure is the thing that used to be measured first: presence. Adaptability. The quality of someone's thinking when they're put on the spot. The way they treat the receptionist on the way in. The instinct a seasoned manager develops after years of watching people either rise or struggle in a given environment.
Those things aren't captured in a personality test or a take-home assignment. They're captured in a conversation.
The Balance We Still Haven't Found
The old way needed to change. No serious person argues otherwise. Structured interviews, skills-based assessments, and diverse hiring panels have genuinely made workplaces more equitable and more effective in measurable ways.
But somewhere between the old-boys'-network handshake and the 47-step automated elimination process, there's a middle ground that American hiring hasn't quite found yet. One that uses technology to reduce bias without removing humanity entirely. One that respects candidates' time. One that remembers the goal isn't to find the person who tests best — it's to find the person who'll actually do the job well.
The handshake era was flawed. But it knew something the algorithm doesn't: that people are more than their data points.