Are Pinoy Businesses Actually “Lagging” on AI-Use or Just Getting Started?

Lag naman lagi eh. When we talk about AI in the Philippines, most of us think about ChatGPT writing dreadful writing requirements and captions or using those “Yearbook AI” filters for the ‘gram. But in the world of business? The vibes are a bit different. While the rest of the world is talking about robots taking over, some of our local businesses are still fighting with a printer that’s “out of ink.”

I’ve been digging into some heavy research lately, the PIDS 2025 Study, Boomi’s 2025 Report, and the Manila Bulletin AI Report, and the verdict is in: We’re “lagging.” But before we start being dramatic because we see lots of AI-generated content on Facebook reels and Tiktok, let’s break down what’s actually happening on the ground.

Disclaimer: What exactly is a “Filipino Business” anyway?

Defining a Filipino local business or a “Philippine National” in legal parlance, goes beyond just having an office in Makati; it is a specific legal status rooted in ownership, control, and capitalization. Under Republic Act No. 7042 (The Foreign Investments Act of 1991) and the 1987 Constitution, a business is truly “local” if it is a sole proprietorship owned by a Filipino citizen, or a corporation/partnership where at least 60% of the capital stock entitled to vote is owned and held by Filipino citizens. 

This “60-40 Rule” is the gatekeeper of national patrimony, ensuring that strategic sectors like land ownership, public utilities, and natural resources remain under Filipino control. Furthermore, for an enterprise to be reserved exclusively for Filipinos at the grassroots level, it must generally have a paid-in equity of less than US$200,000 (approx. ₱11.2 million); anything below this threshold is a protected “Domestic Market Enterprise” where foreign big-box competitors are legally barred from entering unless they bring advanced technology or employ at least 50 direct Filipino workers.

To understand the AI gap, we have to draw a line in the sand.

• The “Pluck-outs”: These are the BPOs and MNCs (the Googles and Nestlés of the world). Let’s pluck them out of the argument. Why? Because they have to use AI. Their global bosses mandate it. They aren’t exactly “representative” of the local struggle.
• The “True Locals”: This is where the heart is. These are the businesses with Filipino capital, decision-making that happens around a kitchen table or a local boardroom, and a customer base that is 100% Pinoy. These are the ones we’re looking at.

The “True Locals” Lagging Behind in Terms of AI Adoption

1. Agriculture

This sector is at the very bottom with a heartbreaking 1.5% adoption rate. Most local agri-businesses are small-scale or family-owned. They are stuck in “calendrical” farming because the cost of AI sensors for soil and weather is seen as a “luxury,” not a necessity. Before you go, “AI in agriculture?”, here are some things I have researched about. 

Countries such as The United States and Australia are deploying “See & Spray” technology on autonomous tractors that use computer vision to identify weeds in real-time, allowing them to spray only the weed and reduce herbicide use by up to 87%. Vietnamese are utilizing satellite-driven predictive analytics to monitor soil moisture and crop “stress” from space, which triggers automated irrigation systems only when the plants actually need water. While Japan and Spain have integrated robotic harvesters that use AI to distinguish between ripe and unripe fruit, picking delicate oranges and strawberries 24/7 without the need for manual labor.

While the world uses AI to optimize harvests, our local farmers are still playing tag with the rainy season.

2. Local Manufacturing & Food Processing

Outside of the massive conglomerates (like San Miguel or Ayala), local manufacturing hovers around low double digits. Many local factories rely on manual quality checks. The “Legacy Trap” is real here, old machinery doesn’t have the sensors needed to “talk” to an AI. To adopt AI, they’d basically have to replace their entire factory floor, which isn’t happening on a local SME budget. The “Quality Control” is Aling Nena, who has been looking at mangoes for 20 years. Kudos to Aling Nena still.

3. Traditional Retail

Despite 81% of firms having internet, AI adoption in local retail is “almost non-existent” according to PIDS. It’s the “Manual-Digital Limbo.” They have the smartphone (for GCash), but the inventory is still in a notebook. You can’t run a predictive AI on a handwritten listahan.

4. The Entertainment & Media Sector

A 2026 report from Truelogic points out that while Filipinos are the #1 consumers of AI content (Netflix, YouTube), our local production houses are lagging in using AI for creation (like Sora-style generative video or AI-driven editing).

The fear that AI will replace the “Creative Pinoy Touch” often stems from a misunderstanding that all AI is Generative AI (like Sora or Midjourney) designed to create art from scratch. In reality, international competitors are slashing production costs by up to 40% by using Discriminative and Operational AI to automate the “grunt work” that currently drains local budgets. This isn’t about replacing talent but leveraging tools, Rotoscoping to cut out actors in minutes instead of days, AI Object Removal to digitally clean up a stray “Starbucks cup” in a period drama, and Automated Metadata Tagging to organize decades of network archives instantly.

While Filipino studios maintain a “wait-and-see” attitude to protect human creativity, global studios are using AI Voice Isolation to save scenes ruined by background noise and AI Color Matching to balance shots in seconds. By avoiding these tools, we aren’t just protecting our “touch”, we are voluntarily paying for the “toil,” making our local productions slower and nearly 40% more expensive than a global market that has already moved the “boring stuff” to the machine.

5. Local Healthcare (Small and or Rural Clinics)

Adoption is concentrated in “Big Hospital” chains. Local, 100% Filipino-owned community clinics are barely touching AI triage or diagnostic tools. It’s a mix of “Talent Scarcity” (doctors don’t have time to learn new tech) and “Data Silos.” Patient records are often still physical folders, making it impossible for an AI to analyze health trends in a specific barangay.

Integrating AI into a 100% Filipino-owned provincial clinic isn’t about replacing the “alaga” of a doctor with a cold robot; it’s about finally killing the “Folder Graveyard” through Data Digitization and OCR. By scanning decades of handwritten notes into a searchable database, a clinic moves from a reactive “what happened?” approach to a predictive one where a doctor can see health trends across a whole barangay in seconds. 

This integration flows into AI-Powered Triage, where tablets running local-language models act as a digital gatekeeper, screening vitals and flagging high-risk cases like early-stage leptospirosis before the patient even enters the consultation room. The machinery itself gets a “Second Opinion” upgrade, where standard X-ray or ultrasound software is augmented with AI trained to spot tiny anomalies, like TB or tumors, that a tired doctor might miss after a 12-hour shift.

Ultimately, Workforce Assimilation means the AI handles the administrative scut-work and data cross-referencing, allowing the provincial health office to predict outbreaks before the hospital beds are even full.

The data doesn’t lie, and it tells a pretty interesting story about our AI growing pains:

• The “15% Wall”: PIDS (2025) found that only 14.9% of PH firms use AI. Contrast that with the fact that over 90% of businesses have computers. It’s like having a Ferrari but only using it to listen to the radio while you’re driving along EDSA.
• The “Legacy” Trap: According to Boomi (2025), we aren’t “slow”, we’re just trapped. We have decades of manual data collection. You can’t feed messy, handwritten data into an AI and expect a miracle. We need “clean” data first.
• The “POC Stall”: The Manila Bulletin/AI Report 2025 adds a funny but sad nuance: 65% of companies that do try AI get stuck in the “Proof of Concept” (POC) stage. They use GenAI for “writing emails” (the basic stuff), but they don’t integrate it into the core business like supply chains or credit scoring. Puro trial, walang commitment.

Why Are We Stuck? Automation vs. AI

Here’s my hot take: how can we honestly expect our local businesses to “go AI” when our basic automation is still a total mess? In 2026, we still haven’t managed to unify our banking apps into one “super app” without five different OTPs failing at once, and we’re still playing the “RFID Hunger Games” at every toll plaza with different stickers and sensors that only seem to work half the time. 

We can’t even use one universal card for both MRT and LRT operations without a sacrificial ritual at the turnstile. Is automation a necessary step towards AI adoption? Absolutely. If AI is the brain, automation is the nervous system. Without a reliable nervous system to carry data from point A to point B, the brain has nothing to think about. We are essentially trying to teach our businesses to “run” with AI when they are still struggling to “stand up” with basic automation. It’s frustrating because we’re being told to be future-ready by a government and private infrastructure that still feels like it’s running on a 56k modem.

Does Every Pinoy Business Actually Need AI?

Before we go all-in on the AI or Die hype train, we need to pause and ask: Is AI really the silver bullet for a third-generation bakery in Bulacan or a family-run hardware store in Cebu? Maybe not. From a Kontra-Daya perspective, the human factor remains our best export.

Filipino business culture is built on well, the Filipino people, family, and Filipino consumers too; an AI chatbot can process a refund, but it can’t empathize with a frustrated suki or throw in an extra pandesal for the road because it knows you’re having a rough day.

If we automate too much, we risk losing the “human-centric” edge that makes Pinoy service world-class, trading our natural diskarte and lambing for a cold, perfectly optimized algorithm.

Furthermore, research from KPMG in 2026 warns that AI isn’t just “plug-and-play.” It requires massive investment in data pipelines, security, and constant monitoring. For a local MSME with razor-thin margins, a monthly AI subscription might be less important than paying for a more reliable delivery bike or a better storefront. For many, traditional automation, like a simple POS system that actually works, is more than enough. 

You don’t need a neural network to tell you that you’ll sell more halo-halo when the temperature hits 35°C outside. Then there is the Digital Sovereignty issue; the Manila Bulletin recently reported that we are “Fast Adopters but Slow Builders,” with 83% of us using ChatGPT while only a tiny fraction are building our own models.

The fear here is that by rushing into AI, we are just making ourselves more dependent on foreign tech giants, essentially renting someone else’s brain instead of building our own.

So, Is the “Laggard” Label Fair?

The reason we feel like “laggards” isn’t a lack of intelligence or our capability to fully maximize AI. This Automation Gap is the true bottleneck. If we can’t even get our tolls, banks, and transport cards to talk to each other, our infrastructure remains fragmented and glitchy, providing no clean data for an AI brain to process. 

We don’t need AI for everything. We need automation that actually works. Once the foundations are seamless and our systems are finally communicating, AI adoption will follow naturally. Until then, AI is just a “fancy hat” on a very messy outfit.