From high-tech to high-touch
I recently spoke with a college friend whose profession is teaching. He left the classroom—not because he stopped caring about it but because he wanted to take care of his special needs son. He pivoted and took on freelance writing and editing work for an American company, building a livelihood without leaving the house.
It was, in many ways, the promise many Filipinos bought into through business process outsourcing and online work: stay close to your family, earn enough, make it work.
But by last year, layoffs in his organization had already begun. Artificial intelligence (AI) tools were first introduced, then workflows tightened, and finally, roles were reduced. He managed to stay, having been promoted to a supervisory and editorial role. He is pragmatic and proactive about it—learning how to work with AI while holding on to what he refuses to give up: judgment, conversation, and the parts of the work that still require a person.
“This AI thing,” he tells me, “it’s here to stay. But I firmly believe people aren’t replaceable.”
The human cost of automation
His story reflects a broader shift in the Philippine workforce. The outsourcing industry once promised proximity—work that allowed people to stay with their families rather than leave the country. For some, that promise is now being tested, as retrenchments have continued since last year.
Decades before generative AI became part of daily life, futurist John Naisbitt introduced the idea of “high-tech, high-touch” in his book “Megatrends.” That the more advanced technology becomes, he argues, the more people will seek human connection to balance it. What we are seeing now is not just innovation meant to improve quality of life but also a growing confidence in automation that often overlooks the human cost.
The assumption is that if something can be automated, it should be, and that efficiency is always an upgrade. It’s just the tech bros overly marketing AI as human capital replacement.
In mental health, where platforms use AI for note-taking and reporting, its limits are already showing. Clinicians are pushing back against AI-assisted session recorders. These tools can summarize conversations and clean up notes, but a therapy session is not a transcript. It includes the pause before someone answers, the shift in tone, and the moment a patient says something they have been avoiding for years. AI can document what was said, but it cannot capture the underlying meaning.
As a result, clinicians often rewrite everything, restoring context, emotional weight, and the moments AI does not recognize as significant.
The same gap appears in language. People can tell when something is off. Listen to an AI-narrated video and within seconds, attention drops. The cadence feels formulaic, repeating the same structure and relying on overused descriptors like “quiet” or “subtle” to suggest depth.
It may sound composed—even thoughtful—but nothing in it feels lived. It is one thing to use current language such as “cringe,” “6-7,” “mogging,” or “delulu.” That is culture and how people actually speak.
But language evolves in ways that are messy, specific, and sometimes unserious. But flattened, overly balanced phrasing is different.
What AI cannot replicate
Using AI works for captions or summaries, but it falls short in moments that require individualized expression. It cannot hold space for grief, restraint, or the release of pent-up emotion.
I saw a version of this at an international food and beverage event where bartenders, PR practitioners, bar owners, chefs, and influencer patrons from across Asia gathered. In person, everyone was distinct and memorable–funny, awkward, rowdy, witty. The next day, when I tried to look some of them up, I was no longer sure who was who.
On Instagram, many of them looked the same: similar skin, similar angles, the same highlighter. I found myself second-guessing whether I had the right person. In real life, their individuality made an impression. Online, much of that had been smoothed into something interchangeable and, sadly, diluted.
That said, AI filters can standardize what is considered aesthetic. It can optimize faces, voices, and even personalities toward what platforms reward.
In many ways, the Philippines has already built its global reputation on what machines cannot replicate. Filipino nurses are valued not just for competence and hard work but for compassion, too. Customer service professionals are known not just for initiative but also warmth. Hospitality workers bring something harder to measure but easy to feel: care.
As former Trade Secretary Ramon Lopez has emphasized, the country’s strength lies in human-centered service. We have been high-touch—long before it became a trend.
To assist, not to replace
This is why the anxiety around AI feels both valid and somewhat misplaced. Roles are changing, but this is not simply about replacement. It is about being pushed back to what actually matters. In fields like accounting and coding, the routine and repeatable tasks are the ones being automated.
What remains, and what is becoming more valuable, are the parts that require judgment: interpretation, decision-making, verification, accountability, and integrity.
The same applies in legal practice. AI can scan documents, review large volumes of evidence, summarize cases, and suggest arguments. It can reduce hours of work into minutes. But it can also generate details that were never there. In a legal context, that is not a minor issue but the difference between fact and fabrication.
The role of the lawyer does not disappear. It becomes more precise. Someone still has to verify, question, and stand by what is presented as truth because AI is not bound by honesty or consequence.
Instead of immediately pivoting away from what you have already invested in, it may be more useful to ask a different question: What kind of worker are you within that field? Are you detail-oriented, organized, and ethical? Can you recognize patterns others miss or explain complex ideas in a way people understand? Why did you choose this work in the first place, and what part of it cannot be automated? That is where your future is.
For some, that means doubling down on relational work such as teaching, therapy, coaching, and caregiving. For others, it means returning to craft—whether in styling, makeup artistry, carpentry, furniture-making, tailoring, or welding. For some, it means building small, community-based work around what they care about, from food to pet services. These are some forms of high-touch work that require hands, taste, discernment, thought, judgment, and presence.
AI will continue to evolve and become more embedded in how we live and work. But its role is not to replace people entirely. It is a tool that can assist, support, improve, and save lives.
