Preparing for Rising AI Prices: AI Cost Management for Japanese Companies in the Philippines

AI Monetization Pressure and Philippine Business: How to Prepare, From Anthropic and OpenAI's Pricing Changes

The pace of pricing changes and price hikes by Anthropic and OpenAI is accelerating. For Japanese companies using AI at Philippine bases, we explain, in plain terms, how to prepare for sudden cost changes.

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Part 1: Why This Matters

Step 1: The Philippine Business Context (3 min)

The pricing and usage terms of AI services are tightening worldwide at the same time. Ads, usage limits, and price hikes have spread even to AI tools that used to be cheap to use. For Japanese companies expanding into the Philippines and for Japanese businesspeople working there, this trend is not someone else's problem.

Many Japanese companies use AI at their Philippine bases for the purpose of cutting costs. AI has worked its way into the center of local operations — customer support, document translation, BPO (business process outsourcing) efficiency, and more. If the pricing structure changes, it directly affects peso-denominated budget plans.

Philippine bases tend to have smaller budget allocations than headquarters. If a monthly subscription cost doubles, the local manager cannot absorb it at their own discretion alone. Occasions requiring an approval request to Japan headquarters will also increase. Let's grasp the substance of these changes now.

An office in Manila's BGC (Bonifacio Global City). Coffee in hand in the morning, Mr. Tanaka, the head of the BPO division, calls out to local staff member Maria. "Maria, did you see yesterday's news? Apparently the major AI providers changed their pricing structures all at once. Our customer-support agent tool's monthly cost might jump from next month too. Let's think about alternatives while we still can."

Step 2: Key Points From the Original Article (5 min)

The original article reports the reality that the AI industry's pricing models are changing significantly. We organized the main facts in the table below.

The Verge — "You're about to feel the AI money squeeze" (April 23, 2026)

This table was created for learning purposes based on facts from public information. For details, please check the original article at the link above.

Step 3: Comprehension Check (5 min)

Let's check your understanding of the original article's content. Try answering the following five questions.

Q1. What tool is named in the original article as a target for which Anthropic tightened usage restrictions?

Hint: It is an AI agent tool that became a worldwide topic in 2026.

Q2. Who issued a statement on X as the head of Claude Code?

Hint: The surname is Cherny.

Q3. What new revenue source that OpenAI introduced is touched on in the original article?

Hint: It is a revenue model long used in the web industry.

Q4. Name the three growth industries of the 2010s that the original article cites for comparison.

Hint: They are services you use just by opening an app in daily life.

Q5. Following the context of the original article, explain the main reasons the major AI providers are raising prices.

Hint: Three things are involved: investors, computing resources, and profit.

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Related: see How AI Helps Philippine SMEs Build a Practical Adoption Roadmap.

Part 2: Putting It Into Practice

Step 4: Implementation Steps in the Philippines (10 min)

To prepare for sudden swings in AI prices, we organized into five the steps a Philippine base should take.

Step 5: Common Failures and Countermeasures (5 min)

When advancing AI use in the Philippines, we often see the following three failure patterns.

Failure 1: Leaving contract terms entirely to the local side

There are cases where Philippine-base staff sign contracts in English and Japan headquarters does not grasp the content. Price-change notice emails also stop at the local site. By the time headquarters notices, it is too late.

Bad example: Leaving it without checking at headquarters, saying "we leave it to the local side, so it's fine."

Good example: For major AI contracts, the Japan side also keeps a copy of the contract, and renewal dates are shared on a calendar.

Failure 2: Depending too much on a single AI service

This is the pattern of consolidating all operations into one service for the reason that "this tool is the best right now." The moment a price hike or usage restriction comes, all operations stop.

Bad example: Running all in-house AI operations on a single subscription.

Good example: Holding at least two options for important operations, and running a switchover test once a quarter.

Failure 3: Looking only at cost and overlooking degradation in functionality

If you dislike a price hike and drop to a cheaper plan, response speed and accuracy may decline. As a result, there are cases where labor costs actually increase. Because labor costs are cheaper in the Philippines than in Japan, it is easy to misunderstand that "doing it with people is cheaper." However, variability in quality remains as a separate problem.

Bad example: Switching to a cheaper plan and covering the quality decline with local staff overtime.

Good example: Running a one-week trial before changing the plan, and comparing the number of items processed and the quality in numbers.

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Related: see How AI Helps Philippine SMEs Maximize Their Technology ROI.

Part 3: Going Deeper

Step 6: Related Technical Terms (5 min)

We selected five important technical terms related to the original article and explain them in plain terms.

Subscription

A recurring, monthly-fee usage contract.

A mechanism where you pay a fixed amount each month and keep using a service.

It often appears in scenes where a Manila BPO (business process outsourcing) company contracts a monthly AI chatbot to automate 24-hour English support.

AI Agent

An AI program that handles tasks autonomously.

An AI that, once you give it instructions, carries out multiple tasks in order on a person's behalf.

There is a use case where a Cebu accounting firm leaves everything from reading receipts to entering journal entries to a single agent, shortening the preparation for BIR filings.

Rate Limit

The upper limit on the number of uses.

A rule on how many times you can use something, such as "up to so many times per hour."

There have actually been reports of a Cebu call center exceeding the daily usage count of an AI translation tool, so the function stopped during the evening shift.

Compute

Computing processing power, or the resources for it.

The "power to compute" needed to run AI. The more powerful the processing used, the more it costs.

It is used in scenes where a Davao startup compares local electricity costs with cloud usage fees and decides to run heavy processing on US servers.

Enterprise Plan

A higher-tier pricing plan for corporations.

A special pricing menu chosen when many people in a company use a service.

A Japanese trading company headquartered in Makati chooses it when contracting AI access for all employees together to streamline preparing reports for the SEC (Securities and Exchange Commission).

Step 7: Thinking About Applying It to Your Company (10 min)

Let's think about applying it at your company on the following three themes.

Make your current AI dependence visible

How much of your operations is work that cannot run without AI?

Prompt: Imagine that first thing in the morning, an AI tool goes down. What operations are impaired, within how many minutes? Try writing them out in order of priority.

How to absorb the gap between a peso-denominated budget and dollar-denominated bills

Do AI costs ever exceed your budget due to exchange-rate movements?

Prompt: Check the dollar–peso rate over the most recent six months, and calculate the additional cost if the yen strengthens and the peso weakens by 10%. It's an opportunity to review your rules for setting reserves.

Review the division of roles with local staff

Are you making the most of the respective strengths of AI and local staff?

Prompt: Divide into four — English support, understanding of laws and regulations, building customer relationships, and routine work — and write out what to leave to AI and what to leave to people. Filipino staff have strengths in English and in building relationships.

Next action: By the end of this week, choose three AI services your company uses. Just writing out the monthly cost, contract renewal date, and an alternative candidate on a single sheet greatly changes your first response when a price-hike notice comes.

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Part 4: FAQ

Q1. Can the costs we pay for AI services in the Philippines be booked as a corporate-tax expense?

A. Yes, if it is a cost related to your business, it can be booked as an expense. However, the BIR (Bureau of Internal Revenue) may require document submission regarding payments to overseas services. Keep invoices stored in English, and it is reassuring to confirm the treatment with your accounting firm in advance.

Q2. If AI prices are suddenly raised, how should I go about explaining it to Japan headquarters?

A. Explaining with numbers is important. Showing the monthly cost before and after the hike in both pesos and yen, and adding the impact on operations (number of items processed, time required, etc.), makes it easier to get through. An attitude of sharing information with headquarters early, rather than deciding on the Philippine side alone, leads to trust.

Q3. Local staff have personally contracted AI services and are using them for work. Is that a problem?

A. Caution is needed on both the information-leak and the expense fronts. In Philippine workplaces, there is a culture where staff, meaning well, streamline work with personal subscriptions. Create a list of tools the company permits. Spread the word that operations handling personal information must always use corporate-contracted tools.

Q4. To prepare for rising AI prices, is it realistic to hire Filipino engineers and bring it in-house?

A. It depends on scale. The monthly salary of an AI/machine-learning engineer in Manila is a guide of about 80,000–150,000 pesos, and experienced ones go higher. If your monthly AI costs greatly exceed this amount, bringing it in-house becomes realistic to consider. However, plan with the point in mind that recruiting and training take time.

Q5. Has the Philippine government created regulations on AI use?

A. At present, there is no comprehensive AI law like those in Japan or the EU. However, the Data Privacy Act of 2012 applies. When inputting customer data into AI, obtain consent and anonymize in line with the National Privacy Commission's guidelines. Discussions toward future legislation are also advancing, so regular information gathering is essential.

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Tips for Making It Work (3 Tips)

Tip 1: Treat AI costs as a "variable cost," not a "fixed cost"

Many Japanese companies manage AI subscriptions as a fixed cost like rent. In reality, however, they are closer to a variable cost that grows the more you use. Record the monthly usage volume and cost side by side, and build a mechanism to notice sudden rises. This alone lets you respond faster to price hikes and overages.

Tip 2: Always run a trial of an alternative tool every quarter

If you leave it alone with "we're not having trouble with the current tool," you won't make the switch in time when a price hike comes. Once every three months, set aside just a half-day to try a different AI service. Simply having comparison data on hand raises both your bargaining power and your decision speed.

Tip 3: Involve local staff and create an "AI household-budget book"

Filipino staff know firsthand how easy tools are to use. Simply sharing "which AI was used how many times this month" in a monthly meeting reveals wasteful contracts and duplicate use. Making the numbers visible also has the effect of deepening trust between the local site and headquarters.

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Bonus: How to Use PH AI Works

PH AI Works supports the adoption of AI and technology for Japanese companies expanding into the Philippines and for Japanese businesspeople there. In connection with this theme, you can consult us for free on the following.

• AI-use cost diagnosis: We organize the cost structure of the AI services you currently use and propose a direction for optimization that fits your peso-denominated budget.
• Support selecting alternative tools: We provide material for comparing and considering multiple AI services according to your operations. We also share the key points for choosing tools suited to the Philippine business environment.
• Designing AI use in local operations: We think together about how to incorporate AI into work unique to a Philippine base, such as BPO and customer support.

Please feel free to contact us.

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Citations and References

• The Verge — "You're about to feel the AI money squeeze" (2026-04-23)

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References and Sources

• The Verge — "You're about to feel the AI money squeeze" (2026-04-23)
• Anthropic
• OpenAI
• National Privacy Commission (NPC), the Philippine National Privacy Commission