ENDING JOB MISMATCH WITH AI: TECH SOLUTION FOR A STUBBORN PROBLEM
ENDING JOB MISMATCH WITH AI: TECH SOLUTION FOR A STUBBORN PROBLEM
Job mismatch is
not just a technical issue—it’s a silent productivity killer and a threat to
national well-being. Every year, thousands of qualified Filipinos are either
underemployed or wrongly placed, resulting in a workforce that's not just
underutilized, but demoralized.
It’s time we
accept this harsh truth: our current system
of matching people to jobs is broken. But there's good news—artificial intelligence (AI) may be the
breakthrough we’ve been waiting for.
Let’s define the
problem first. Job mismatch
happens when a person’s skills, education, or experience don’t align with the
demands of the job they land. This may seem harmless at first glance, but the
consequences are far-reaching:
·
Job insecurity rises as mismatched workers are more likely to be laid off.
·
Employers lose money on hiring and training people who don’t stay long.
·
Some companies abuse the mismatch excuse to delay regularization and dodge employee benefits.
·
Mental health takes a hit, with job instability and lack of satisfaction
leading to anxiety, burnout, and worse.
·
Social risks multiply, as unemployed or underemployed individuals may
resort to crime or other risky behaviors just to survive.
Despite these
red flags, we've long tolerated this cycle—posting job ads, sorting résumés,
interviewing mismatched applicants, and repeating the whole thing when it
doesn’t work out.
So here’s the
proposal: Let AI handle the matchmaking.
A
Filipino-developed AI platform now exists that can precisely pair job seekers
with employers, based not just on keywords but on a comprehensive set of data points—skills, experience,
interests, location, and even aptitude. Think of it as a dating app for jobs,
only smarter and more purposeful.
Even better,
this AI tool is not for sale. It’s offered as a free subscription, meaning the government can endorse and promote it without legal
complications—no procurement, no bidding, no red tape. Job seekers
benefit without spending a single peso. Employers get better candidates.
Government agencies can refer applicants with confidence.
This kind of
tech-based approach could also help clean up one of the public sector’s open
secrets: the overuse of job order (JO)
and contract of service (COS)
positions. Too often, agencies fill tech roles with warm bodies rather than
well-matched talent. With AI-powered matching, we can make sure that
digitalization efforts are supported by the right people with the right skills, not just whoever’s
available.
Let’s also
remember that mismatch is not limited to unemployment. Underemployment—when someone is technically employed but
working below their qualifications—is just as destructive. The Philippine
Institute for Development Studies (PIDS) has found that 40% of working Filipinos are overqualified
for their jobs. That’s not just wasted talent. That’s a systemic failure.
Fixing this can
lead to higher job satisfaction,
lower turnover rates, and a more resilient economy. And while this
AI solution was designed primarily with private sector hiring in mind, there’s
no reason it can’t be adapted for
government use, especially in conjunction with training programs like
the Enterprise-Based Education and
Training (EBET) Framework Act.
This is a
low-cost, high-impact solution. It won’t require huge capital outlays. It won’t
need new laws. What it needs is political
will and leadership endorsement.
It’s about time
we moved past the old, inefficient ways of job hunting—random résumés,
guesswork hiring, and HR roulette—and embraced data-driven, AI-assisted employment matching. The
technology is here. The software exists. The only question now is: Will we use it?
Ramon Ike V. Seneres, www.facebook.com/ike.seneres
iseneres@yahoo.com,
09088877282, senseneres.blogspot.com
07-15-2025
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