Understanding Automated Job-Search Failure




Historians will look back and declare the early twenty-first century the era of automated failure. We are at that the intersection of specie evolution where our automated technology exceeds our job-hunting dexterity. In short, our rapidly changing environment exceeds our ability to adapt.
Nothing exemplifies that clearer than the disparity between job availability and employee availability. Employers refer to this as their secret 4:1 advantage. This is based on the current unemployed (14.2 million) versus job openings (3.2 million) ratio.
That ratio does not include underemployed, part-timers, and the never employed. Nor does the ratio include those who have fallen off the statistical reports. Moreover, the ratio does not take into consideration the gainfully employed who discretely seek new employment.
When excluded categories are added to the matrix, the statistics easily double. Realistically, individuals chasing new employment are closer to 28 million. Naturally, not all are qualified. Some could be classified as behaviorally and psychoanalytically challenged, biologically unfit (morbidly obese for example) and geographically challenged (opportunity is in California and candidate lives in Pennsylvania).
Likewise, not all advertised openings qualify as quality employment. A third of the openings will never be filled. These always-available, third-world positions amount to working for slave wages.
We could manipulate raw data endlessly to project a desired outcome. In an effort to maintain a modicum of reality-based objectivity, let us settle on there being 2 million decent openings, versus 16 million qualified job seekers. (The Bureau of Labor Statistics are seriously skewed. The elimination of those gainfully employed, never employed and underemployed tends to alter the perception of reality.) Hence, the 8:1 ratio is more apropos.
With this data in hand, I cut to the chase: You are a major employer. You want qualified employees. You post a mid-management position with decent benefits. You desire to weed out the crazies, misfits and unqualified, as well as those geographically challenged.
Your hidden agenda might also include eliminating women, gays, minorities, oldies and long-term unemployed. (Naturally, you cannot blatantly advertise that. There are, however, discrete techniques to sidestep those government-mandated inconveniences.)
You anticipate receiving 200 responses. Instead, ten times that inundates your email system. You do not have time to cull through 2,000-plus, mostly boring and poorly written résumés. What will you do?
Even allowing 15 seconds per résumé requires 8.3 man-hours! The odds plummet to zero in terming of spotting the perfect candidate. Solution: You purchase expensive artificial intelligence (AI) screening software. Have AI scan all applications, and via an algorithmic routine, select the ideal top five candidates. This avoids confronting the hordes who might otherwise waste your valuable time.
On the surface, this logic makes sense. Screening software can make pre-calculated assessments based on statistical norms. It can calculate within a minute the amount of travel time it will take an applicant to reach the workplace. Slip in a few behavioral questions during the submission process, and the software’s algorithm can mathematically predict an applicant’s work ethic and socioeconomic behavioral patterns.
Even less qualified applicants have figured out a simple method for beating this new reality: Simply copy and paste the job requirements into their résumés. Presto—a perfect match. Call it what you will, but this automated screening and selection process is a technological failure.
Applicant-screening algorithms are touted as a panacean breakthrough. In reality, this time saver is pure algorithmic alchemy. Three important factors in hiring involve the candidate’s passion, desire and creativity—none of which these algorithms are able to compute. As a result, the technological wizardry ignores the best-suited candidates.
The hue and cry from employers is that they cannot find qualified employees: Therefore, teachers are not doing their job, and by the way, the national government imposes too many regulations! With an 8:1 applicant-to-opening ratio, those arguments amount to hogwash. But employers feel compelled to blame someone other than their own lack of business acumen: Thus, teachers and government regulations become readily convenient scapegoats.
Employers have brought about a plague of their own choosing. But you cannot tell that to those who authorized wasted high-dollar expenditures. Whenever this occurs, employers retreat even further behind their technological firewalls and troglodyte mentalities. 
Where does this leave isolated job candidates struggling to remain positive, yet scrambling to find decent employment? It leaves them trapped somewhere between clinical depression and endless frustration. It leaves them questioning their own self-worth, while their pathway into the future appears algorithmically blocked.
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© Robert James, 2012. James is an author and professional résumé writer based in northeast Ohio serving clients worldwide. He can be reached at rjames279@gmail.com.