Peak Oil Never Died: Energy, Illusion, and the Philippine Reckoning

By Karl Garcia


In the early 2000s, a theory began circulating among environmentalists, energy experts, and geopolitical analysts: peak oil. The idea was simple, even brutal. Global oil production would eventually reach a maximum—then decline forever. Like a candle burning down, the world would slowly lose the energy that fuels modern life.

Many dismissed it as alarmism. Others mocked it as a failed prediction. Yet the truth is more unsettling and more relevant today:

Peak oil was never just about running out of oil.
It was about running out of cheap oil.

That distinction matters—especially for countries like the Philippines, which never had the luxury of energy independence. We inherited an economy built on imported fuel, foreign-controlled refining, and a political culture that treats cheap gasoline as a permanent entitlement. That system is now being exposed as a fragile fantasy.


The Origin of Peak Oil

The concept of peak oil originated in the United States in the 1950s, when geologist M. King Hubbert observed that oil production in any region follows a bell-shaped curve. He predicted that US oil output would peak in the early 1970s—an idea widely dismissed at the time.

Hubbert was proven right.

US production peaked around 1970 and declined for decades thereafter. The lesson was clear: oil is finite, and the easiest reserves are always extracted first. As time passes, extraction becomes more difficult, more capital-intensive, and more expensive. Hubbert later extended this logic globally, warning that the world would eventually exhaust its supply of cheap oil.

Peak oil was never a doomsday clock.
It was a cost curve warning.


What Peak Oil Really Meant

Public discourse misunderstood peak oil almost immediately.

People thought it meant:

“The world is about to run out of oil.”

What it actually meant was:

“The world will run out of oil cheap enough to sustain its current way of life.”

Modern economies are not built on oil per se.
They are built on abundant, cheap, and reliable energy.

Cheap oil made everything possible:

  • Globalized supply chains
  • Mass motorization
  • Industrial agriculture
  • Cheap food and transport
  • Military projection and national security

Once cheap oil disappears, everything becomes more expensive—food, transportation, manufacturing, housing, and even governance. Inflation becomes structural. Inequality widens. Political stability erodes.

Peak oil was never about apocalypse.
It was about fragility.


Did Renewables Make Peak Oil Obsolete?

At first glance, it may seem so.

Since the 2010s, global oil production has not collapsed. US shale, deepwater drilling, and unconventional sources delayed decline. At the same time, renewable energy, efficiency gains, and electric vehicles began to flatten oil demand in wealthy countries.

This led to a new narrative: “peak demand” instead of peak supply.

But this does not invalidate peak oil theory. It updates it.

Today’s reality is this:

  • Oil still exists in abundance
  • But it is harder, riskier, and costlier to extract
  • Prices are increasingly volatile
  • Production depends on geopolitics, debt, and speculation

The world has not escaped peak oil.
It has entered the era of permanent energy insecurity.

For oil importers, this is worse than scarcity.


What Peak Oil Means for the Philippines

For the Philippines, peak oil is not an abstract theory. It is lived experience.

1. A Nation of Energy Importers

The Philippines imports nearly all of its oil. Every spike in global crude prices hits Filipino households immediately—through fuel, electricity, food, and transport costs. Wars in the Middle East, tensions in the South China Sea, or disruptions in shipping lanes translate directly into domestic hardship.

This is not just an economic issue.
It is a sovereignty issue.

A country that cannot control its energy supply cannot fully control its future.

2. A Transport System Locked into Fossil Fuel

Jeepneys, tricycles, buses, trucks, ferries—our transport system is almost entirely oil-dependent. When fuel prices rise, the poor suffer first. The middle class is squeezed next. Productivity falls. Inflation rises.

Peak oil, for the Philippines, is not about depletion.
It is about exposure.

3. Paying Twice for Cheap Oil

Cheap oil was never truly cheap.

It was paid for through:

  • Climate change
  • Disaster recovery costs
  • Ecosystem degradation
  • Public health impacts

The Philippines is among the most climate-vulnerable countries in the world. We pay once at the pump—and again when typhoons destroy homes, crops, and infrastructure.


Why Renewables Still Feel Expensive

It is tempting to say that renewables are the solution. But in the Philippines, they are not cheap—at least not yet. And pretending otherwise undermines credibility.

1. Up-Front Capital Costs Are High

Solar panels, wind turbines, batteries, and grid upgrades require massive initial investment. Unlike fossil fuels, which are consumed monthly, renewables demand payment before benefits appear. In a country with high interest rates and limited green financing, this makes RE feel unaffordable.

2. Fossil Fuels Hide Their True Costs

Oil seems cheap because we ignore its hidden prices:

  • Climate damages
  • Disaster reconstruction
  • Health impacts
  • Geopolitical risks

If oil reflected its full cost, renewables would already appear cheaper.

3. Our Systems Are Built for Oil

Electric grids, transport networks, and industry are designed for fossil fuel use. Integrating RE requires major redesigns. Transitioning without systemic change increases upfront cost perception.


The Philippine Trap: Oil Is Expensive Too

Here’s the paradox: oil is no longer cheap either. Volatility, geopolitical risk, taxes, and regulation make fuel unpredictable and risky. The Philippines is paying for both—high RE costs and expensive fossil fuel consumption.

The real comparison is not “RE vs oil.”
It is:

High up-front certainty vs low up-front illusion.

Renewables may feel expensive, but oil is more costly in the long term—economically, socially, and environmentally.


Peak Oil as a Wake-Up Call

Peak oil is not merely an energy problem.
It is a crisis of imagination.

Filipinos are known for bayanihan—our ability to rally together in times of disaster. Peak oil demands the same spirit, but applied strategically and deliberately.

This is not about sacrifice for its own sake.
It is about reclaiming agency.


Toward Energy Sovereignty

1. Renewable Energy as National Strategy

Solar, wind, geothermal, and hydropower are strategic assets. Every megawatt built locally reduces import dependence, stabilizes prices, and strengthens resilience.

2. Decentralized and Community-Based Energy

Centralized grids are vulnerable—to storms, sabotage, and system failure. Microgrids, rooftop solar, and local storage create energy sovereignty at human scale.

3. A Transport Revolution

The future is electric—and public. Electric jeepneys, buses, rail, and bike infrastructure are not luxuries—they are survival mechanisms in a post–cheap-oil world.

4. Industrial Policy Beyond Oil

The Philippines must stop building an economy dependent on imported fuel. Local manufacturing, green technology, energy storage, and grid intelligence are survival strategies—not optional projects.


Peak Oil Was a Warning

Peak oil was not a lie.
It was not hysteria.
It was not disproven.

It was a warning—and we ignored it.

Now the cost of that neglect is being paid daily by ordinary Filipinos. Yet the future is not fixed. Peak oil does not dictate collapse. It demands choice.

The question is not whether oil will run out.
It is whether the Philippines will finally run toward its own future—even if the road is initially costly, challenging, and unfamiliar.

Renewables are not cheap yet—but oil is far costlier. The choice is between expensive inaction and strategic investment.

Peak oil has arrived in the form of high prices, vulnerability, and climate shocks. The Philippines can either continue paying the price—or start building resilience, sovereignty, and imagination today.


Comments
30 Responses to “Peak Oil Never Died: Energy, Illusion, and the Philippine Reckoning”
  1. CV's avatar CV says:

    I think the main argument for going electric through renewable sources (like solar and wind) is not cost savings, but preservation of the planet.

    Asking a country that has already tightened its belt to tighten it further and invest in renewable sources of energy is a tall order.

  2. JoeAm's avatar JoeAm says:

    10 years ago I worried that the Philippine economy would collapse when Malampaya oil fields dried up in 2024. They discovered new gas fields nearby this year. And the nation has been pressing forward with renewables and possibly nuclear. As I wrote long ago, Biliran Island could easily supply itself and Leyte with power. Thermal, hydro, solar, tidal. The only things holding it back are laziness and corruption. I have solar on the agenda for our place next year, the cost worth the security. I’m going off grid within the grid, lol.

    • Karl Garcia's avatar Karl Garcia says:

      Go ahead offing the grid hehe

    • pablonasid's avatar pablonasid says:

      I am now on solar for 30 years and will add a wind generator next month.
      My lesson was that offgrid can be expensive. You need to ruthlessly minimize your power consumption and then balance your use with the availability. (e.g. do not use a washing machine when there is no sun, switch on the ice maker when there is sun or learn to wash with cold water).
      It is fun, it can be done.
      It is great, I did it, but it needed a huge learning curve.
      If we want everybody to do that, it will require a load of support from the government. Not giving away installations, but solid advice.
      And I do not see a lot of expertise around here. Not in design, equipment selection, installation, maintenance nor in operation.
      Be very aware of the limitations before you embark on an off-grid installation.

      • Joey Nguyen's avatar Joey Nguyen says:

        It used to be that a solar install needed specialized equipment:
        1.) Solar panels
        2.) Charge inverter
        3.) Electrical subpanel for grid hookup

        About a decade plus back I got into salvaged automotive lithium ion battery pack backups which additionally need:
        1.) Lithium ion batteries
        2.) Battery charge harness
        3.) Hybrid charge inverter
        4.) Charge controller

        This was before Tesla Powerwall and similar solutions. Prior to lithium polymer batteries battery packs in question just used standard laptop batteries (18650) inside, later 21700 batteries. I had to create my own charge controller first out of an old PC, later a corporate mini PC. I also had to cobble together and build my own code from open source. Today such controllers can run on a cheap Raspberry Pi single-board computer about the size of a credit card.

        A few months back I got my dad’s house installed with consumer battery-backed solar. The system is prepped for vehicle-to-home (V2H) but my dad isn’t ready to let go of his gas guzzling Benz yet. Much easier nowadays as everything above except for the solar panel and sub panel has been miniaturized into one unit. The Chinese are dumping out massive amounts of smaller solar battery backup systems that are enough to power a refrigerator, induction stove, lights and small appliances throughout the night. My dad happens to be both an electrical engineer and mechanical engineer, but from the instructions everything was easy enough with clear electrical diagrams. We just hired a few day laborers to handle the heavy lifting while we did the install ourselves.

  3. OT: Gerry C: https://www.facebook.com/gerrycacanindin/posts/pfbid02quuV7hCy4BFFdVZQcNaARvqkKwnLGh1fEsvrigAoePYn3D9nVUDf6jEYzpNUTLXQl

    It’s a bit funny that three years into Bongbong Marcos’ presidency, his admin made it a priority to rehabilitate the Maharlika Highway, especially along its worst parts in Samar Province. Only after the most massive corruption scandal in Philippine history and only after there was a need for the admin to have something to show for.

    Yet in 2022, one of Leni Robredo’s major campaign promise was to fix the Maharlika Highway in Samar. “Ako po, singilin niyo ako pero ang pangako ko, pagkaupong-pagkaupo natin, aasikasuhin na po natin ‘yan,” said Leni during her campaign rally in Catbalogan City.

    Leni lost in Samar as the Tan dynasty backed Bongbong Marcos. It’s the lone province in Samar Island where Leni lost as she both won in Eastern Samar and Northern Samar provinces where local officials backed her candidacy.

    The roads got even worse since 2022 under the Tan dynasty, hence the urgency to rehabilitate it now. Incidentally, Eastern Samar where Leni won is now one of the fastest growing provincial economies in the country, posting a 10% GDP growth in 2024-2025 according to PSA data.

    Leni knew one of the major problems of Samar even back then, which is being addressed only now. So if ever she runs again in 2028, it’s worth keeping stories like this in mind.

    These are the provinces Leni won in 2022. The common thread? These are the places where local politicians, governors, congressmen, mayors threw their support behind her. The rest of the provinces either didn’t support her or supported BBM-Sara. The 2022 lesson? Movements fire up a candidate. On-ground machinery and coalitions actually win elections.

  4. pablonasid's avatar pablonasid says:

    I have worked all my life in the oil business, our community was well aware of the Peak Oil principle. The document floated around during my training in 1978. It was fascinating rreading because it was written by a researcher who proved his point scientifically.

    Even if the “total volume estimate” was way off, the bell shaped curve stands like a rock and the prediction was solid. 

    The only “mistake” was that it was sold as “we run out of oil” which was then disputed as nonsense by the PR people, so we could continue oil production with a clear conscience.

    And why was it ignored by us all?

    Because we all knew that even though it was probably true, alternatives would become available and it was just an economic balance between the price of oil and its alternatives. 

    And also this prediction is becoming reality.

    Kind of….. BUT, the problem is that the price of oil is kept artificially low.

    We indeed do not pay for the social and environmental consequences. The balance and economic reality therefore is skewered.  Hiding the true cost of the use of hydrocarbon has been a major activity of the PR departments of the big oil companies and (paid) politicians.

    And there, this goes wrong in Philippines.

    Let  face it, Philippines is a very capitalistic country, everything is governed my money, little is achieved by appealing to conscience or responsibility.

    Therefore, the logical conclusion is that we should include the social and environmental cost in the price of oil. Make it an econoomic solution for a practical problem.

    And then the price at the pump becomes the same as in Europe. Automatically, the smoke belchers will be forced to switch to electrical cars or more fuel efficient cars. All those gas guzzling 4-Wdś driving around in the city will change to (electric?) small family cars. 

    If the price for coal would include those social/environmental costs, electrical energy prices double, people will switch to solar automatically.  From 30 years experience, I can say that this would be a huge motivator to reduce energy consumption and balance availability & use.

    We certainly would get sad stories about “poor people paying the price”, but that is a red herring. At the moment, the poor people ARE paying the price for pollution, for poor and inefficient transport, for the environmental disasters. Maybe have a look to Australia where the excessive heat is causing a devastation on a huge scale.

    When we get fair prices for energy, we should not waste the extra income/tax on giving installations to “the poor”. We have made that mistake over the past 20 years.

    We should invest.

    Invest in certification of high quality installations, in training and certifying high quality engineers. In providing affordable loans to households for installing certified installations.

    Basically changing the current situation where amateurs install Mickey Mouse installations designed by profiteers and maintained by tinkerers.

    We have to future-proof our provision of energy.

    We missed the chance when the jeepneys were replaced with similar technology, when CARP killed agriculture, when we implemented K-12.

    Let’s not make that mistake again. We are now talking about survival..

    Because:

    But the problem goes much further than Peak Oil. 

    A similar story can be told about:

    – (drinking) water

    – Land

    – Food (rice, veggies…)

    – Medical

    It essentially is all about (not) willing to see the limits of our actions and (not) willing to consider alternative (better) ways to live our lives. 

    Trump and Carney just came to a head about water and it is becoming clear that there is a huge problem in the USA, but it has been simmering for 50 years. Does this maybe ring a bell???  

    Just like the report of the Club of Rome which has been ignored for 50 years and it STILL is, in spite of the International Panel for Climate Change reports, the warnings are still taken with a pinch (handfull?) of salt by our glorious leaders. 

    The issue is much, much bigger than Peak Oil and it will be interesting if humanity is willing and able to change from a hunter/gatherer mentality to the mentality presented in the speech of the Indian chief Seattle https://en.wikisource.org/wiki/Chief_Seattle%27s_Speech where we change to custodians of the earth, our one and only planet we live on, where we have no “Plan-B”, whatever Musk pretends. 

    And here in Philippines, we are heavily exposed to the consequences of what is going on in the world but we are still not motivated to play an active role apart from playing the victim. 

    But also here, the solution will present itself irreversibly if we do not assume an active role. The adjustments will follow the capitalist principles present so prominently in our society: resources will become very expensive very soon and the in-equality will rise. Maybe until the breaking point will cause a collapse.

    My dad taught me a lesson when he took my baby hand and held it to the hot coal stove: after that, I stayed far away from the stove and when it was red hot in winter it prevented me getting hurt seriously. The lesson was: if you do not learn, you will face the consequences. 

    Translation: better double the price for energy and prepare the country for times when energy, water, land, food, clean air and medical support will be scarce and expensive. 

    In the Filipino environment, will this be a realistic solution?

    In an environment where the big families are involved in selling as much electricity as possible to maximize profits, where cheap diesel buys votes, where mediocre education buys tickets to jobs, where cheap Chinese goods are preferred above high quality equipment, where selling medicines is a better business than preventing diseases???

    Unlikely.

    BUT, the consequences will follow automatically. The laws of physics and economics are not negotiable.

    The choice is ours….

    …..just do not come back in 5 years time with tears in the eyes when the predictions came true when nothing happened to stop the train running on the tracks…… (hence, I have no pity on the USA running out of water, Australia getting red-hot, the Europeans drowing in flooding rives or South Africa running dry, the tourists avoiding steamy Spain or another crop failing because of the weather……..).

    • Joey Nguyen's avatar Joey Nguyen says:

      Good to see you Paul. I hope you and your family are doing well.

      I too have the opinion that the Peak Oil Theory was always sound, as similar theories on reserves-to-production ratios (production curves) only account for *what is known at the time.* Of course one cannot account for future advancements in extraction technology nor yet to be discovered resources, as these are unknowns. The Peak Oil Theory was also a study of Saudi Arabian oil fields exclusively, yet was improperly applied as arguments both for and against increased oil production in places outside of Saudi Arabia.

      In any case, you’re correct that the basic calculation is an economic one. There is a preference for petroleum-based energy in much of the world because petroleum-derived energy is subsidized in much of the world. But this energy subsidization mostly only makes sense for states that have access to the base energy resource in the first place, or at least the ability of extensive refining operations — which the Philippines does not.

      China is barreling ahead with alternative fuels precisely because China lacks petroleum reserves, while also menacing smaller neighbors in the WPS/SCS as a hedge in the case China is able to wrest control of petroleum resources there. France is also an example of a state which has minimal fossil fuel reserves, which caused France to invest heavily in nuclear energy early at the dawn of the Atomic Age.

      A mix of solar, wind, geothermal and energy storage makes sense for the Philippines, but my worry here is the aforementioned are more complicated than just pumping petrol or diesel. And the Philippines tends to not do well with complicated things.

      Complication requires careful planning, preparation, but most of all complicated things require the ability to adjust course when new factors arise. For example, it is easy enough to hire outside experts to design and build something, let’s say a bridge. Certainly there is some Philippine capacity to maintain what exists, but without the capacity to build, inevitably one is simply maintaining the slower degradation of the thing to be maintained.

      Just in broad strokes to transition off of petroleum the Philippines would need to figure out how to weave together a multitude of large utility, commercial and residential installations into a cohesive energy grid. Charging points need to be installed. A robust long-distance transmission network would be needed to shift power between regional grids based on consumption demand. The underlying technology to tie together disparate energy sources has long been available, and storage technology is increasingly “affordable.” But all these require a systems understanding. An ability to have a bird’s eye view of the overall system and how all the pieces fit together. In the end, it’s just simpler to go to a filling station and pump the petrol or diesel.

      Interestingly very poor Filipinos seem to be (at least to my observation) on the forefront of innovative behavior. Those who could not “afford” utility-provided electricity (or just don’t want to pay lol) have switched to solar-battery fans, lighting. Those with a bit more money have small battery-backed systems connected to foldable solar panels that can be stowed away at night time or during a typhoon. These poor Filipinos might not have the education or the training but they are able to construct piecemeal solutions where it makes sense, and figure out how to tie separate components together. Now if only those in Philippine government can think along the same lines, instead of chasing built-to-order systems where the Philippines becomes a buyer and end-user rather than learning how to “DIY.”

    • Karl Garcia's avatar Karl Garcia says:

      Nice to see you again Pablo. Thanks for the industry insights.

  5. important OT: https://x.com/pos2only/status/2024348270924120481 “The Philippines’ biggest industry has about 3 years left” by someone who seems to know what he is talking about:

    1.7 million Filipinos work in call centers. $38 billion industry. 7-8% of our GDP. Count the families, the food stalls near BPO offices, the condos and malls built around these hubs. That’s easily 10-15 million Filipinos tied to this one industry.

    AI is coming for all of it.

    I was Uber’s CS lead for 3 years. I know how these operations run. I know how decisions get made. I know where the cuts come from. And what I’m seeing right now is different from anything before.

    Klarna launched an AI assistant in February 2024. First month, it handled 2.3 million conversations. Two-thirds of all their customer service chats. Did the work of 700 full-time agents. Resolution time went from 11 minutes to under 2. Repeat inquiries dropped 25%. They saved $40 million in a year. (Klarna press release, Feb 27, 2024)

    Their CEO said: “We want to reemphasize and encourage society and politicians to consider this carefully.”

    Dukaan’s CEO tweeted in July 2023 that their AI replaced 90% of support staff. Response time went from 1 min 44 sec to instant. Cost down 85%.

    Teleperformance, one of the biggest BPO employers in the Philippines, lost 25% of its stock price in one day after the Klarna news. Never recovered.

    The math is simple. An AI agent costs cents per interaction and handles thousands simultaneously. A Filipino agent costs around 30k PHP a month plus benefits, office space, equipment, and management overhead. On paper they’re closer than you’d think per interaction. But AI doesn’t need an office in BGC. Doesn’t need a team lead. Doesn’t need to be recruited, trained, or replaced when they resign after 8 months. And it scales instantly.

    Voice AI is catching up too. OpenAI, Google, Anthropic, plus dozens of startups building voice agents that sound human on the phone. The thing that made us irreplaceable, English fluency and a neutral accent, AI can do that now.

    The one thing humans have that AI doesn’t is empathy. But most companies aren’t paying for empathy. They’re paying for resolution speed.

    I have an AI assistant running on a Mac Mini on my desk right now. It handles CS workflows, writes drafts, does research, monitors channels. Runs 24/7. A few years ago that was a team. Now it’s a $700 machine and a subscription.

    So what happens to those 1.7 million workers?

    Most are 23-28. College grads who picked BPO because it pays better than anything else at entry level. Supporting families of 5. Loans, car payments, housing. All built around a BPO salary.

    There’s no backup plan.

    TESDA is teaching MS Office and basic coding. That’s not going to work. No large-scale reskilling program. No AI transition fund. No real safety net. The government isn’t even having the conversation yet.

    McKinsey says customer service has the highest automation potential of any job category. Up to 75% of tasks automatable with current AI. The World Bank flagged the Philippines as one of the most exposed countries.

    We’ve seen this before. The US lost a third of its manufacturing jobs between 2001-2009. Almost 6 million gone (Bureau of Labor Statistics). Detroit, Flint, Gary. Retraining programs mostly failed. Those jobs never came back.

    We’re more vulnerable than they were. More concentrated in one industry. AI moves faster than factory automation. And we have weaker safety nets.

    Analysts are pointing to 2026-2027 as the tipping point. When AI handles more than half of Tier 1 support globally. When the big contracts come up for renewal and companies pick AI over headcount.

    That’s not far away.

    This isn’t anti-AI. I use AI every day. But 8-9 million Filipinos are going to feel this, and nobody’s preparing them for it.

    We need to start talking about this now.

    P.S. my own comment to this is that probably indeed a lot of 1st level support can be replaced, one level above FAQ so to speak, and of course AI in support means you have a curated dataset, so even second-level support can be speeded up as the staff can get hints from the LLM (I guess, I am a newbie when it comes to understanding AI) – now I don’t know where PH is on the support food chain but I guess mostly 1st-level which must be similar to what he calls “Tier 1”.

    P.P.S. the Philippines never was that good at levelling up. India has a software industry and is a player even if not yet at the level of Western companies. Romania, also a BPO hub, utilizes its being in the EU for being a player in the software projects industry there – their people can come to kick-offs and cutovers face to face while working on the rest back home, but that is of course complicated, needs a strong sense of what the customer needs and wants plus feasibility.

    (Indians and Romanians have far from neutral English accents, even as the modern world of social media means that the younger ones seem more “international” as in locked into the typical lingo everybody uses nowadays, while the Philippines seems to have rested on its laurels of English proficiency, even as some commenters here have mentioned that comprehension isn’t always what it should be so I guess not much 2nd level possible?)

    • Karl Garcia's avatar Karl Garcia says:

      Have one like this topic for March 25 might move it earlier

    • Karl Garcia's avatar Karl Garcia says:

      Artificial intelligence is rapidly reshaping the survival calculus of institutions, businesses, and societies, acting less like a mere technological upgrade and more like a selective evolutionary force. In this environment, success no longer belongs to the largest or most established actors, but to those capable of strategic agility, digital fluency, and deep community integration. Universities must evolve from static knowledge transmitters into adaptive ecosystems that teach critical AI literacy and produce applied, socially embedded research. Firms must move beyond automation alone, pairing AI efficiency with human-centered trust, storytelling, and hyper-local engagement. Military and security organizations must embrace decentralization, decision speed, and AI-enhanced intelligence to remain resilient against rapidly changing threats. For the Philippines, where structural vulnerabilities intersect with immense human creativity, the imperative is especially clear: survival in the AI era depends on adaptability, experimentation, and the preservation of human connection. Those who integrate AI as an amplifier of judgment, culture, and community will thrive; those who resist transformation risk obsolescence.

      • Francis's avatar Francis says:

        @Karl

        Somewhat off-topic, but I am curious what AI tools are you using, particularly in helping formulate these articles.

        As for me, I personally still write all my comments with my monkey mind but lately I’ve been enamored by reading analysis using Claude’s research mode* to generate overviews of markets/trends I find interesting or which I encountered and got curious about while reading an article online.

        • Karl Garcia's avatar Karl Garcia says:

          Before I tried claude and gemini but lately I stick to chat Gpt tganks for asking. To avoid hallucinations I ask for a fact check but only when I doubt, so some inaccuracies still slips when I am too trusting.

          • I am reminded of a term I learned here from the late Edgar Lores:

            https://en.wikipedia.org/wiki/Epistemology as in how we attain knowledge. It is a bit like court cases, as MRP used to say there is forensic evidence versus affidavits and witness accounts. I still feel safer with Wikipedia as one can double-check the citations like one can check footnotes in serious books and academic work – even as ChatGPT now often provides source links, some are dubious. I am reminded of how inaccurate Yahoo was, and one fine day in the late 1990s or early noughties my brother told me about GOOGLE and there was a world of difference. Took me three months (evenings) to write “Half a Millenium After Magellan” as I wanted to be very accurate but fortunately many academic papers are now available online, that would have been a year in libraries decades ago. The example of what ChatGPT told me about BPO and what Joey quickly corrected confirms BTW my doubts about how useful AI ALONE is at this point in time.

            • https://x.com/heygurisingh/status/2025237896647901361 about AI, and I agree, it is just a way of getting summaries of what is already online..

              Apple has just published a paper with a devastating title: *The Illusion of Thinking*. And it’s not a metaphor. What it demonstrates is that the AI models we use every day – yes, ones like ChatGPT – don’t think. Not one bit. They just imitate doing so.

              Let me explain: 🧵👇

              The paper argues that those models, no matter how brilliant they may seem, do not understand what they are doing. They do not solve problems. They do not reason. They merely generate text word by word, trying to sound coherent. Real thought: zero.

              To demonstrate this, Apple designed a series of experiments with logic puzzles: Tower of Hanoi, the river-crossing problem, stacked blocks, etc.

              The same ones we use to see if a human or even a child can reason in steps.

              In the first one, for example, they put the AI to solving the Tower of Hanoi. With 3 disks, it solves it perfectly. But as soon as you add more difficulty, more disks, the model starts to get confused. It repeats movements. It skips steps. It contradicts itself. It fails.

              Was the solution too difficult?
              No. Because in many cases, the researchers gave it *the correct algorithm* step by step, as a helping hand.
              And you know what happened? It still couldn’t follow it, not even by copying the homework.

              Second example: the classic river problem. You have to cross a wolf, a goat, and a cabbage, without leaving them alone if one eats the other.

              The AI does it well… until you add one more restriction. That’s when it starts doing exactly what it shouldn’t do.

              But the most unsettling thing isn’t that it makes mistakes. It’s that when the problem becomes more complex… the AI “thinks” less.

              Literally: it uses fewer tokens, takes fewer steps, explores fewer solutions. As if it were silently giving up.

              Apple measured how many tokens the model dedicated to reasoning.

              It found a very marked curve: when the problem gets difficult, the model starts to generate *less* reasoning.

              Exactly the opposite of what a human would do.

              Why does this happen?

              Because the AI doesn’t know if it’s doing well or poorly.
              It has no sense of an objective.
              It doesn’t correct. It doesn’t compare. It doesn’t evaluate.

              It just completes text, as if it were writing without knowing what for.

              This breaks a very widespread idea:
              “If we keep giving it more data, more parameters, and more power, AI will become superintelligent.”

              Apple’s paper says: probably not.
              Because *there is no real thinking to scale*.

              What these models do is seem intelligent.

              And that’s the most dangerous thing.

              Because when they sound convincing, we believe they understand.
              When they reason out loud, we believe they’re thinking.
              But it’s pure theater.

              What you see as reasoning is just an act.

              The AI says: “first I do this, then that other thing…”
              but it doesn’t *understand* the logic behind it.
              It’s only imitating structures it saw in its training.
              And when it doesn’t recognize them, it improvises poorly.

              This does not mean that AI is useless.

              But it does mean that we cannot treat it as if it had human capabilities:
              it does not plan, it does not get frustrated, it does not improve its strategy.

              It has no will, nor purpose, nor even awareness of error.

              The real risk is not that it thinks too much.
              It’s that it thinks *nothing*… and yet we still give it power.

              Because the more convincing it sounds, the more likely we are to mistake it for something it’s not.

              So the next time ChatGPT, Claude, or Gemini say to you:
              “Let me think…”

              Stop.

              And remember:
              they’re not thinking.
              They’re guessing.

              Source: https://ml-site.cdn-apple.com/papers/the-illusion-of-thinking.pdf

              • Joey Nguyen's avatar Joey Nguyen says:

                The way I view consumer “AI” (i.e. chatbots) is that they are first and foremost predictive word generators, and secondly are modeled to convey those generated words with targeted synthetic empathy. For humans empathy is powerful. Empathy is the greatest tool of persuasion. If one takes a step back, it is quickly evident that AI chatbots *always* generate responses in a seemingly emphatic and positively acknowledging manner. Even when the chatbot “disagrees,” the response is conveyed in a positive way.

                Whenever I think about a chatbot, I think about the time in college when I tried my hand in tutoring students as a sideline. I had a few excellent students, and I had some frankly terrible students who were coddled and spoiled by their parents. I remember a child who was G3 age but was held back into G1. He constantly tried to take shortcuts rather than doing the hard work. When we would go through the ABCs together, he’d guess based on pictures then look at my facial expressions to try to figure out if I approved or not. When I mixed up the ABCs and the pictures, he could not get anything right. But that kid was a great gaslighter and succeeded in tricking every tutor who came before me.

                What AI chatbots *cannot* do is to create what is unknown. Chatbots depend on a LM that in a way is pre-sorted, pre-conceptualized even (this is what “training a language model” means). So professionals that are inherently creative are at much less risk than those professions that primarily organize information. Unfortunately much of what we think of as “white collar work” is in organizing information.

      • I asked ChatGPT for both a SWOT analysis of the Philippines as well as an analysis of the AI threat to BPO including measures against it and got this:

        🇵🇭 Executive Summary: Philippines SWOT & AI Impact on BPO
        1️⃣ Core SWOT Snapshot
        💪 Strengths

        Young, English-proficient workforce

        Global leadership in BPO and customer service

        Strong remittance-driven consumption

        Strategic ASEAN location via Association of Southeast Asian Nations

        ⚠️ Weaknesses

        Heavy economic reliance on BPO

        Concentration in voice-based, lower-value services

        Infrastructure and congestion challenges (especially in Metro Manila)

        Skills gap in advanced tech and AI engineering

        🚀 Opportunities

        AI-augmented services

        Expansion into knowledge process outsourcing (KPO)

        Healthcare, financial compliance, legal services

        Regional tech hub development beyond Manila

        ⚡ Threats

        AI automation of repetitive customer support roles

        Faster upskilling by competitors like India and Vietnam

        Potential job displacement and domestic consumption slowdown

        Brain drain of top technical talent

        🤖 The AI Threat to BPO — What It Really Means

        AI is unlikely to eliminate outsourcing entirely.
        However, it will:

        Shrink Tier 1 voice support jobs

        Reduce headcount per contract

        Shift demand toward higher-skill, tech-integrated services

        The real risk is not AI alone — it is AI + better-prepared competitors.

        Because BPO is deeply embedded in the Philippine economy, large-scale displacement could affect:

        Urban employment

        Real estate demand

        Consumer spending

        Tax revenue

        📌 Strategic Recommendations (5-Year Direction)
        1️⃣ Transition from “Call Center Hub” to “AI-Augmented Services Hub”

        Focus on:

        AI supervision

        Complex dispute resolution

        Regulated services (healthcare, finance, insurance)

        High-empathy human-AI hybrid roles

        2️⃣ National Upskilling Program

        Immediate priorities:

        Short-term AI tool training for current BPO workers

        Tiered upskilling tracks (AI operations, analytics, automation)

        Expanded STEM and digital credentials via:

        Technical Education and Skills Development Authority

        Commission on Higher Education

        Goal: Shift 30–40% of BPO workers into higher-value roles within 5 years.

        3️⃣ Incentivize Retooling Instead of Layoffs

        Government policies should:

        Offer tax incentives for retraining

        Encourage AI augmentation (human + AI) instead of full automation

        Support mid-career transitions

        4️⃣ Move Up the Value Chain

        Expand into:

        Healthcare information management

        Financial compliance support

        Insurance and legal analytics

        Cybersecurity and cloud support services

        Competing head-on in AI engineering with India is costly; specialization is smarter.

        5️⃣ Develop Regional Tech Corridors

        Reduce overconcentration in Manila by investing in:

        Clark

        Cebu City

        Davao City

        This spreads risk and supports inclusive growth.

        🎯 Bottom Line

        AI is a serious structural threat to the Philippines’ BPO-heavy model.

        But it is also a pivot point.

        If unmanaged:
        → Job losses, slower growth, competitive decline.

        If managed strategically:
        → The Philippines can evolve into the global leader in human-centered AI services.

        The window for action is roughly 3–5 years — before competitive gaps widen further.

        next I asked how it can actually move up in the four focus areas mentioned and got this:

        Below is a practical, implementation-focused roadmap for how the Philippines can move up the value chain in each priority sector. The emphasis is on capability building, certification, client trust, and specialization—not just retraining.

        1️⃣ Healthcare Information Management (HIM)
        Why This Is Attractive

        Aging populations in the U.S., UK, and Australia

        High regulatory complexity

        Strong English + documentation-heavy workflows

        Lower automation risk due to compliance requirements

        How to Move Up the Value Chain
        A. Shift from Back-Office to Clinical Intelligence Support

        Move beyond:

        Basic medical transcription

        Appointment scheduling

        Toward:

        Clinical coding (ICD-10, CPT)

        Revenue cycle analytics

        Utilization review support

        Medical data quality auditing

        Population health data analytics

        B. Certification & Compliance Infrastructure

        Establish nationwide HIPAA-aligned compliance frameworks

        Create certified HIM training tracks via TESDA/CHED

        Partner with U.S. healthcare accreditation bodies

        Hospitals won’t outsource sensitive data work without compliance credibility.

        C. Build Domain Specialization Hubs

        Develop clusters in cities like:

        Cebu City

        Clark

        Specializing in:

        Oncology coding

        Insurance reimbursement analytics

        Telehealth workflow support

        This creates defensible expertise.

        2️⃣ Financial Compliance Support
        Why This Is Attractive

        Increasing global AML/KYC regulation

        Rising compliance costs in banking

        AI still requires human oversight for regulatory decisions

        How to Move Up the Value Chain
        A. Expand into RegTech-Integrated Services

        From:

        Simple document processing

        To:

        Anti-money laundering (AML) case review

        Know Your Customer (KYC) analysis

        Fraud pattern escalation

        Transaction monitoring oversight

        B. Certification Ecosystem

        Encourage workforce certifications such as:

        CAMS (AML certification)

        Financial risk management credentials

        Work with global banks operating in:

        Metro Manila

        C. AI-Augmented Compliance Centers

        Position the Philippines as:

        The global hub for human review of AI-flagged financial risk cases.

        This leverages:

        English fluency

        Analytical reasoning

        Regulatory discipline

        3️⃣ Insurance and Legal Analytics
        Why This Is Attractive

        Documentation-heavy

        Process-driven but judgment-intensive

        High litigation costs in Western markets

        How to Move Up the Value Chain
        A. Insurance Claims Analytics

        Move from:

        Data entry

        To:

        Claims fraud detection review

        Risk scoring oversight

        Actuarial data preparation

        Complex claims adjudication support

        B. Legal Process Outsourcing (LPO) 2.0

        Expand into:

        Contract lifecycle management

        E-discovery review

        Regulatory filing analysis

        AI-assisted legal document review

        C. Build Industry-Academic Pipelines

        Law schools and business schools should create:

        Legal tech specialization tracks

        Insurance analytics programs

        Encourage partnerships with foreign law firms and insurers.

        4️⃣ Cybersecurity and Cloud Support Services
        Why This Is Critical

        This is where long-term competitiveness lies.
        Without tech depth, value-chain upgrade stalls.

        How to Move Up the Value Chain
        A. Tiered Technical Training

        Start with:

        SOC (Security Operations Center) monitoring

        Cloud infrastructure support (AWS/Azure/GCP)

        Incident response support

        Then expand into:

        Threat intelligence analysis

        Cloud architecture consulting

        Compliance auditing (ISO 27001, SOC 2)

        B. National Certification Drive

        Subsidize certifications such as:

        CompTIA Security+

        CISSP

        AWS Solutions Architect

        Incentivize firms that convert call center employees into junior cloud or SOC analysts.

        C. Build Cybersecurity Corridors

        Develop tech parks outside Manila:

        Davao City

        Iloilo City

        Focus on secure infrastructure and data center clustering.

        Cross-Sector Requirements for All Four Areas
        1️⃣ National Credential Framework

        Stackable micro-certifications linked to salary progression.

        2️⃣ Regulatory Alignment

        Philippines must strengthen:

        Data privacy enforcement

        Cross-border data transfer compliance

        Cybersecurity standards

        Trust determines contract size.

        3️⃣ Incentivize Upgrading, Not Just Hiring

        Tax credits for:

        Retraining

        Certification completion

        AI augmentation instead of layoffs

        4️⃣ Target Niche Dominance, Not Broad Competition

        Instead of competing directly with India in broad IT services, dominate selected niches:

        AI-supervised compliance

        Healthcare coding excellence

        Insurance analytics specialization

        Human-in-the-loop AI governance

        Strategic End-State (5–7 Years)

        The Philippines evolves from:

        “Global Call Center Capital”

        To:

        “Global Human-AI Regulated Services Hub”

        That shift:

        Reduces automation risk

        Increases average wages

        Improves economic resilience

        Attracts more sophisticated foreign investment

        I did ask if cybersecurity isn’t a too tall order for the Philippines and got this:

        Your skepticism is reasonable.

        Cybersecurity is one of the hardest value-chain jumps because it requires deep technical foundations, strong math/STEM pipelines, trusted institutions, and years of ecosystem buildup. It is not as easily transferable from voice-based BPO as healthcare coding or compliance work.

        Let’s look at this realistically.

        Why Cybersecurity Is a Tough Leap
        1️⃣ Talent Pipeline Gap

        Compared with countries like India or Poland, the Philippines has:

        Fewer advanced engineering graduates

        Less exposure to large-scale product development

        A smaller domestic tech R&D ecosystem

        Cybersecurity excellence usually grows out of strong software engineering and systems engineering depth.

        2️⃣ Trust and Reputation Barrier

        Clients outsource:

        Healthcare coding relatively quickly

        AML review with moderate barriers

        But cybersecurity?
        That involves:

        Protecting core systems

        Monitoring live infrastructure

        Handling breach response

        Trust thresholds are significantly higher.

        Countries like Israel dominate partly because of deep national security ecosystems and advanced military-linked cyber talent. That kind of ecosystem cannot be replicated quickly.

        3️⃣ Wage Arbitrage Is Narrowing

        Cybersecurity is high-value globally.
        Clients are less price-sensitive and more quality-sensitive.

        This reduces the Philippines’ traditional cost advantage model.

        Where Cybersecurity Could Be Realistic

        Instead of aiming for elite offensive cyber or cutting-edge threat intelligence, the Philippines could target mid-tier, scalable roles:

        ✅ Security Operations Center (SOC) Monitoring

        24/7 log monitoring

        Incident escalation

        Alert triage

        This aligns better with:

        Shift-based BPO structure

        English reporting requirements

        Process discipline

        ✅ Cloud Configuration & Compliance Auditing

        Assisting firms with ISO 27001 documentation

        Cloud governance checks

        Security policy implementation support

        ✅ AI-Augmented Security Review

        As AI tools flag anomalies, humans still review context.
        This hybrid layer may fit Philippine strengths.

        A More Realistic Strategic Framing

        Instead of:

        “Become a cybersecurity powerhouse.”

        Reframe as:

        “Become a global hub for AI-augmented security operations and compliance support.”

        That is achievable.

        Sector Difficulty Ranking (Most to Least Achievable)

        1️⃣ Healthcare Information Management (most achievable)
        2️⃣ Financial Compliance Support
        3️⃣ Insurance & Legal Analytics
        4️⃣ Cybersecurity (most difficult)

        Your doubt is strongest in the most difficult category — and that assessment is strategically sound.

        The Bigger Strategic Question

        The Philippines does not need to be globally elite in every advanced service area.

        It needs:

        2–3 defensible specializations

        Strong compliance credibility

        AI integration capability

        Workforce adaptability

        Trying to stretch too far risks doing none well.

        • Joey Nguyen's avatar Joey Nguyen says:

          HIT/HIM and Cybersecurity are very hard areas to break into as both require strong knowledge in fundamentals. A big risk is the gung-ho Philippine attitude to rush headlong without adequate preparation, which inevitably leads to smacking straight into an inprenetrable wall called “reality.” Obstacles can be surmounted with careful planning and tight execution.

          The Indian IT progression was not to jump directly to “architect,” as amusingly some Indian resources assigned to me back in the day replied as their title when queried by me. They started off as “button pusher monkeys” tending to racks of server farms, QA technicians, and the IT equivalent of go-fers. Eventually the Indians branched into junior analyst roles, then senior analyst roles, project leads and project managers. Every software engineer graduate starts off as a no-name line coder who gets ordered around by those more experienced. One cannot be credibly trusted to manage others’ money and budgets without the requisite experience backed up by industry referrals, which the Indian IT industry built up remarkably fast in the early 2000s until now. India has many technology colleges and universities that pipeline directly into their consulting powerhouses. More experienced Indian consultants regularly go back and are offered visiting instructorships at those teaching institutions to train the next generation of Indian professionals. Being able to leverage prior experience cuts down the training time for each new batch, which is harder to do with gatekeeping culture.

          • thanks, I was wondering why ChatGPT saw HIT/HIM as easiest – funny I queried further re HIT/HIM and Financials and got the answer that financials are actually easier. So AI contradicts itself without batting an eyelash. It did tell me though that HIT/HIM providers already work in the Philippines, that surprised me. The question though is at what level Filipino employees of such firms work. I won’t ask AI though as it probably won’t really “know”.

            • Joey Nguyen's avatar Joey Nguyen says:

              Yes HIM can be something as simple as manual encoding of patient information from paper records into electronic form, which is the lowest level in HIM. Nowadays though platforms like Epic and healthcare providers/technicians inputting patient information directly into the EHR cuts out a lot of encoding work. Basically encoders are akin to what secretaries on “typing floors” in office buildings were back up until the 1970s. And we know what happened to those secretaries and typing floors. They were replaced by personal computers at every desk.

              I guess figuring out how to move up the value ladder is something not many thinkers consider over there. The bottom of the value ladder is always the first to be replaced.

              • I guess figuring out how to move up the value ladder is something not many thinkers consider over there.

                possibly the gatekeeping you mentioned is one thing preventing level up.

                That gatekeeping is very often due to extreme lack of trust outside of the usual small cliques.

                • Joey Nguyen's avatar Joey Nguyen says:

                  I wouldn’t say that gatekeeping is the behavior of low trust of outside groups. Rather gatekeeping is a behavior of mediocrity, because only mediocre people feel the need to hide knowledge they fell into by happenstance — which only works when they can control the flow of knowledge towards others. Even if the initial gatekeeped knowledge provided a large advantage gap eventually the knowledge would become outdated and less useful. Which seems to be a pattern in the Philippines of periods of injected knowledge followed by stagnancy then eventual falling behind.

    • Joey Nguyen's avatar Joey Nguyen says:

      On a personal note as about 6 months ago before my trips abroad I had advised contacts in Cebu who are in the BPO world that they should start formulating exit plans.

      My advice is not because I believe AI to be transformative in the sense of being a creative tool; on the contrary AI’s transformative aspect is that it rapidly automates processes that have clear and defined parameters. Tier 1 CSA following a script is one such scenario that is clearly defined with tight constraints that disallow deviation from the support script. Increasingly in the last 5 years I’ve found even Tier 2 CS (“supervisors” and “leads”) are being constrained by the software tools, having power that allowed Tier 2 creatively solve customer problems taken away by tool limitations, with “overrides” no longer being an option even in manually submitted form. Tier 2 is now effectively a glorified facilitator to speed up CS queues to lower response times. The use of LLMs to hint at solutions probably isn’t going to be done as the trend has been towards the support tools being more constrained, not loosening constraints.

      The problem with Philippine elites boasting and coasting on the “success” of BPO is a hard truth unacknowledged: The BPO industry, specifically in customer support, was created to stop a consumer backlash against Western-based agents being replaced by clunky Interactive Voice Response (IVR) systems that use pre-recorded touch-tone or voice prompts. As such BPO was always a stop-gap measure.

      The hard truths is that BPO is an industry that can be parachuted in, set up with minimal capital expenditures (long-term physical assets), able to be packed up and moved to other countries with more favorite business climates, or have human agents replaced wholesale by software-based agents, just like human agents in cheaper labor climates replaced higher labor cost humans in US and European call centers. BPO as a “Philippines industry” was perhaps an illusion because it was never a Philippine industry to begin with. It is an instance of Filipinos working for a foreign company for day’s wages, and I disliked how the BPO industry was romanticized beyond that.

      I had long advised friends that they should take advantage of BPO salaries to collect capital to invest into other things. Most did not take that advice, assuming the relatively young BPO industry to last forever. They bought expensive condos, took on one or two car loans, went on expensive vacations, spent their salaries only to wait for the next salary arrive. Only very few took on my advice and built small businesses catering to other Filipinos, or branched into independent VA work.

      Now there is no shame in working for another. There is no shame in taking on a job because one lacked the basic skills to build something on one’s own self. But working for others also means exposure to more complicated processes that add value. One could ostensibly take those learnings and apply it into another area, i.e. innovation.

      The other shoe to drop is if the Middle East gets embroiled into another regional sectarian war, or when oil sheikhs “run out of money” to pay out massive welfare programs that allow for imported domestic helpers and building projects that employ laborers, then what? What economic permeance would the Philippines have? The third leg of the economic stool that shakily holds up the Philippines consumption-based economy are remittances, which can take a dive in a global recession (which one can imagine is more likely during an age of realignment teetering on a new multi-theater world conflict). The only way is to proceed with building economic engines that are physically present on national territory. Factories, manufacturing, creating things.

      • https://x.com/pos2only/status/2025063330369732800 from the one who wrote the original article:

        My BPO article hit 575K views.

        A lot of people thought that was the whole warning.

        It wasn’t.

        Monday.

        • Joey Nguyen's avatar Joey Nguyen says:

          Not sure what he is referring to. Probably another post on Monday.

          But yeah the Philippine economy is pretty much held up by the derivative effects of Middle Eastern OFW, BPO, and family remittances from the West. One leg falling out would be painful. I worry there is nonzero risk in all three legs falling out in the near future.

          Check out the prompt “FDI per capita in US Dollars” for each MSEA and ISEA country. The results are sobering and the borderline boastful government press releases of “billions of pesos invested” no longer look great. The Philippines lost much of a big chance to have manufacturing roots planted in the last decades, and shockingly more so in the last 5 years.

          • PNoy was working on an FTA with the EU, something which his successor abandoned for “put@ng in@ng EU”. Well now according to ChatGPT this is the status:

            Among the ten ASEAN (Association of Southeast Asian Nations) countries, only two currently have **bilateral free trade agreements (FTAs) with the European Union (EU) that are in force:

            🇸🇬 Singapore — EU–Singapore Free Trade Agreement (EUSFTA)

            Signed: 19 October 2018 in Brussels.

            Entered into force: 21 November 2019.

            This was the first FTA concluded between the EU and an ASEAN member.

            🇻🇳 Vietnam — EU–Vietnam Free Trade Agreement (EVFTA)

            Signed: 30 June 2019.

            Entered into force: 1 August 2020.

            This agreement significantly liberalised trade by eliminating most tariffs between the EU and Vietnam.

            👉 Other ASEAN members do not yet have an FTA with the EU that is in force:

            Indonesia: negotiations recently concluded on a Comprehensive Economic Partnership Agreement (CEPA) in September 2025 (aimed to become an FTA), but it still needs ratification and entry into force.

            Malaysia: negotiations resumed in 2025; no FTA in force yet.

            Thailand: FTA negotiations relaunched in 2023; not in force.

            Philippines: negotiations resumed in 2024; not in force.

            Brunei, Cambodia, Laos, Myanmar: no bilateral EU FTAs in force and no concluded agreements under negotiation.

            Having an FTA or a CEPA does help in getting FDI from European countries, especially factories moving OUT of China.

            P.S. I have observed that the Philippines usually tends to suck at partnerships, while often instinctively seeking a modern variant of the mandala system as in wanting a patron state.. which is why I guess Filipino officials often are a bit rude towards towards those not a present or potential patron state.

            Re patron state or mandala: Manila before Legazpi had Brunei, but Rajah Sulayman quickly converted to Christianity from Islam when Legazpi won (a variant of how Senators and Congressmen join supermajorities nowadays) and the principalia signing up for being subjects of Philipp II (for him a feudal arrangement, for them probably recognizing him as a Rajah of Rajahs) while Bonifacio in his “Ang Dapat Mabatid ng Mga Tagalog” accused the Spanish of having not fullfilled their part of the deal, and Aguinaldo explicitly sought US protection in the Malolos Constitution’s preamble.. finally how quickly Philippine elites shifted to Japan and back in the 1940s, which fortunately didn’t work that totally with China in 2016..

            Re rudeness towards non-patron states: how Manila looked for confrontation with Germany in the NAIA3 debacle (though someone with an inside track on BOTH sides told me that debacle was a perfect storm of Philippine unreliability and German arrogance), how Philippine diplomats made snide remarks about German partial sovereignty before unity or about Vietnamese on bikes in the 1990s, all that.

            (even how Duterte put the Sokor Ambassador in a very edgy seating arrangement during their first meet in Davao, somehow “putting him in place”)

            P.P.S. of course it also isn’t exactly conducive to long-term partnerships if foreign governments have the feeling they are dealing not with one state, but with a different rajah with whom deals have to be re-negotiated whenever there is a new President. That is yet another very deep topic.

            • Joey Nguyen's avatar Joey Nguyen says:

              As an extension to “modern mandala system,” after the elites gain new, powerful benefactors, they turn around to their own supporters and claim *they alone* did everything in a lower form of power display. CCLEX being funded, designed, and built by foreigners then claimed by the Dutertes as “this is what Duterte gave you” can be seen as an example of this behavior.

              Another negotiating failure of the Philippines is thinking there is leverage in something the Philippines does not have leverage in (e.g. equal partnership) while not recognizing the immense leverage the Philippines does have (e.g. available, relatively cheap labor).

              Stability also requires continuity. Continuity requires a national ideology that is at least shared in large part between different parties that is distinct from partisan ideology. The pursuit of power for power’s sake is a relatively weak ideology, which I see in the constantly reconfiguring of Philippine political “coalitions” — coalitions that seem to me at least to simply be temporary alliances of dynastic and business interests in order to gain power. Temporary convenience does not translate well into permeance, except maybe the permeance of the temporal.

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