The Machine That Ate the Human: The History of Hiring and How Technology Buried It

A decorated veteran with twelve years of nuclear submarine operations cannot get a callback from an automated hiring system because his resume does not contain the phrase "project management software." This is not a glitch. This is the system working exactly as designed.

That sentence should disturb you. Not because it is rare, but because it is routine. It happens thousands of times a day across every industry in this country. And if you trace the line back far enough, past the algorithms, past the applicant tracking systems, past the job boards, past the keyword parsers, you eventually arrive at a filing cabinet in a government office in 1939 and a document called the Dictionary of Occupational Titles.

That is where this story starts. Not in Silicon Valley. Not in a boardroom. In the Great Depression, when human beings were desperate and the government needed a way to connect them to work at scale. The job description was not born of arrogance. It was born of necessity. And for a moment in history, it actually worked.

The problem is what we did to it next.

Part One: 1939, The Tool That Made Sense

To understand why the modern hiring system is broken, you have to understand why it was built in the first place. And to do that, you have to go back to a country that was broke, unemployed, and trying to rebuild.

The Wagner-Peyser Act of 1933 created the United States Employment Service, a national public labor exchange. For the first time, the federal government was in the business of matching workers to jobs. The problem was that nobody had a common language for describing what a job actually was.

So in 1939, the government published the first Dictionary of Occupational Titles: thousands of standardized, analyst-written job definitions that gave the country a shared vocabulary for work. The job description was a genuine innovation. It brought order to chaos.

The resume followed. As the labor market industrialized and veterans began re-entering the civilian workforce in the 1940s, the one-page summary of work history became a practical communication tool. Person to person. Human to human. The document was a means to an end, not the end itself.

Frederick Winslow Taylor had already laid the intellectual groundwork in 1911 with The Principles of Scientific Management, the doctrine that every human task could be reduced to its optimal method, measured, and reproduced. It was brilliant in a factory. It was, as we would discover, catastrophic when applied to the full complexity of a human being.

Part Two: What the Philosophers Saw Coming

In 1954, a French philosopher named Jacques Ellul published a book that almost nobody in the business world read. It was called La Technique, translated into English as The Technological Society. Ellul was not a technophobe. He was something more dangerous: a careful thinker who understood exactly what technology does to human institutions when left unchecked.

His central argument was simple and devastating. Every human institution, when subjected to the logic of technique, the relentless drive to find the most efficient method for everything, eventually inverts its purpose. The institution stops serving the human and starts serving the process. The means becomes the end. The tool becomes the master.

Ellul wrote this while the job description was still a relatively modest document. He could not have known about applicant tracking systems, algorithmic screening, or AI-powered resume parsers. But he described them with perfect precision forty years before they existed. Because he was not describing technology. He was describing a pattern of human behavior, the way we hand our judgment over to systems and then forget that we ever had it.

Technique has taken over the whole of civilization. Death, procreation, birth. All must submit to technical efficiency and systematization. -- Jacques Ellul, The Technological Society, 1954

Lewis Mumford saw it from a different angle. In Technics and Civilization (1934), he traced how the machine logic of the industrial age did not just change what people made. It changed how people thought about other people. Workers became interchangeable units. Their particular knowledge, judgment, and experience became secondary to their measurable outputs. The human being was gradually reduced to a function.

Herbert Marcuse completed the thought in One-Dimensional Man (1964), arguing that technocratic systems do not just reduce human possibility. They make the reduction invisible. We stop being able to imagine an alternative. The person getting filtered out by a keyword algorithm seems like a normal outcome of a normal process, and not the catastrophic failure of judgment that it actually is.

None of these men were writing about hiring. All of them were writing about hiring.

Part Three: The Layers We Built

From 1939 to 1994, the job description and resume existed as simple documents. They were imperfect. They were incomplete. But they were human-readable artifacts that a person could review, contextualize, and judge. Then we started building on top of them.

1994: Monster.com launches. The job description goes digital. A job posting that previously received fifty applications now receives five hundred. 1996: Taleo, the first major ATS, launches. The machine sorts by keywords. The keyword becomes the most important thing on a resume. Not performance. Not character. Not potential. Keywords.

2003: LinkedIn launches. The professional identity is now a searchable database. Recruiters stop reading and start parsing. The profile becomes a keyword document. The human becomes a tag cloud.

2010s: AI enters the stack. Machine learning scores resumes. Predicts fit. The system makes autonomous recommendations about human beings based on pattern matching against historical hires made by the same broken system. The bias compounds.

2023: The EEOC settles its first AI hiring discrimination case: iTutorGroup, which used an algorithm that automatically rejected applicants over 55. Ellul had been right for sixty-nine years.

Part Four: The Specific Violence Against Veterans

Every person who has ever been filtered out by an algorithm has experienced this failure. But veterans experience a particular version of it that is almost designed to exclude them.

A sergeant first class who managed a $40 million equipment portfolio, trained and led 45 soldiers, and executed complex logistics operations in austere environments does not have the words supply chain manager or operations director in his service record. An algorithm looking for those phrases will pass over him in under a second.

The veterans most likely to succeed in demanding civilian roles, those with the highest leadership responsibility, the most complex operational environments, the deepest experience with ambiguity and high-stakes decision making, are precisely the ones whose backgrounds look most foreign to a keyword-based screening system. Their excellence is invisible to the machine.

The job description was supposed to describe what a person would do. Not what they would have on their resume. Performance. Output. Capability. Not credentials. We corrupted that intent in the ATS era. And in doing so, we stopped describing veterans.

Part Five: The Correction Already Underway

The skills-first hiring movement is not, at its core, about technology. It is about the recognition that credentials and keywords are a proxy for capability, and a weak one. Performance-based hiring says the same thing in practical terms that Ellul said in philosophical ones: stop measuring inputs and start defining outputs. The job description should be a performance specification, not a credential list.

This is why we built the Video Job Description. Because when a hiring manager sits down and explains, in their own words, without a filter, without an HR template, what this role actually requires and what success actually looks like, something true emerges. Something that a keyword parser would never find and a scoring algorithm would never surface. Humanity emerges.

Conclusion: What We Owe the Moment

Jacques Ellul died in 1994, the same year Monster.com launched. He would not have been surprised by what came next. He had already told us what happens when a tool outlives its context and becomes a system with its own logic.

The resume is not evil. The job description is not evil. The ATS is not evil. What is dangerous is the unexamined compounding. Each technical solution creates the conditions for the next one, and human judgment gets incrementally displaced at every step, until we arrive at a world where a machine decides in milliseconds whether a human being deserves a conversation.

That is not efficiency. That is abdication.

Technology will always beat a human in a narrow, rule-bound task. But it will never replace the moment when one human being looks at another human being's life and says: yes, this person can do this work. That moment is not a relic. It is the whole point.

Bringing humanity back to hiring is not nostalgia. It is the correction to eighty-six years of incremental error, a return to the belief that the purpose of a hiring process is not to protect the process. It is to find the right human being for the work. We forgot that for a while. It is time to remember it.

Justin Henderson | CEO & Founder, Veteran Hiring Solutions | Marine Corps Veteran