Why AI Costs Pakistani Workers Up to 3,700% More

Artificial intelligence tools may be getting cheaper globally, but paid AI subscriptions can still represent a dramatically larger financial burden for workers in Pakistan than for higher-income workers in countries such as the United States.

A recent analysis attributed to Densight Labs estimates that a paid AI subscription costing around Rs6,000 per month would consume approximately 15% of Punjab’s Rs40,000 monthly minimum wage.

For comparison, the analysis uses an illustrative U.S. employee earning $5,000 per month and assumes the equivalent AI subscription represents approximately 0.4% of monthly income.

Comparing those percentages produces the eye-catching conclusion that AI can be around 3,700% more expensive relative to income for a low-paid Pakistani worker.

But that figure requires an important clarification.

Pakistanis Are Not Necessarily Being Charged 3,700% Higher AI Prices

The 3,700% figure does not mean an AI company charges a Pakistani customer Rs6,000 for something an American receives for Rs162.

It is a measure of affordability relative to income.

Consider the comparison used in the analysis:

Dividing 15% by 0.4% gives a ratio of approximately 37.5.

In other words, under these particular assumptions, the subscription consumes around 37 times as much of the Pakistani worker’s monthly income.

That is the basis for the roughly 3,700% comparison.

It is therefore better understood as an affordability gap, rather than a 3,700% markup specifically imposed on Pakistani customers.

Why AI Subscriptions Feel Expensive in Pakistan

Many popular AI products operate internationally and are priced directly or indirectly in U.S. dollars.

Pakistani salaries, meanwhile, are paid in rupees and are generally much lower in dollar terms than salaries in developed economies.

This creates a purchasing-power problem.

A subscription that appears relatively inexpensive to a professional earning several thousand dollars per month can consume a meaningful percentage of a Pakistani worker’s salary.

The underlying AI service may be identical.

The economic burden is not.

A Rs6,000 Subscription Equals 15% of Minimum Wage

Using the example in the analysis, Punjab’s monthly minimum wage is Rs40,000.

A Rs6,000 subscription therefore represents:

Rs6,000 ÷ Rs40,000 × 100 = 15%

That means a minimum-wage employee would theoretically spend almost one-sixth of monthly income on a single AI subscription.

And that is before paying for essentials such as:

• Housing
• Electricity
• Gas
• Food
• Transportation
• Mobile service
• Internet
• Healthcare
• Education

For an individual employee at this income level, paying for a premium AI service personally can therefore be difficult to justify unless it generates a significant financial benefit.

Higher Salaries Change the Calculation

The affordability problem becomes less severe as income increases.

The same Rs6,000 monthly subscription represents:

This illustrates why asking whether an AI subscription is simply “expensive” or “cheap” can be misleading.

Its value depends heavily on the income and productivity of the person using it.

Junior Workers Face a Much Tougher ROI Calculation

The analysis gives the example of a junior employee earning Rs60,000 per month.

For that employee, a Rs6,000 AI subscription costs 10% of monthly salary.

The analysis estimates that the worker would need to save roughly 48 minutes of working time every day for the subscription to recover its cost through productivity gains.

That creates a relatively high hurdle.

If AI only saves that employee a few minutes per day, paying for the subscription may not make financial sense from an employer’s perspective.

The Equation Changes for Senior Employees

Now consider an employee earning Rs500,000 per month.

The same Rs6,000 subscription represents only 1.2% of monthly salary.

According to the analysis, the AI tool may need to save only around six minutes of that employee’s working day to recover its cost.

That creates a completely different business case.

If a senior manager, engineer, developer, analyst or other highly paid professional can use AI to save hours each month, a relatively inexpensive subscription can potentially generate a substantial return.

AI Could Produce a 6x Return in Some Higher-Value Work

The Densight analysis provides another hypothetical example.

Suppose an employee earns Rs500,000 per month.

If 30% of that employee’s work can be made 25% faster using AI, the estimated value of the time saved could reach approximately Rs37,500 per month.

Against a Rs6,000 subscription, that would represent a potential productivity value of more than six times the subscription cost.

That does not guarantee the company will actually generate Rs37,500 in additional cash.

Saved employee time only creates economic value when it is used productively.

Nevertheless, the example illustrates why companies should evaluate AI subscriptions according to specific jobs rather than applying one policy to their entire workforce.

Giving AI to Every Employee May Not Make Sense

Businesses sometimes approach generative AI by purchasing licenses for large groups of employees.

In Pakistan, that strategy can become expensive quickly.

Imagine a company with 100 employees.

At Rs6,000 per user:

100 × Rs6,000 = Rs600,000 per month

That becomes:

Rs7.2 million per year.

The company would therefore need AI-generated productivity gains worth more than Rs7.2 million annually merely to recover the direct subscription expense.

For some organizations, that may be easy.

For others, it may be difficult.

Pakistani Companies May Need a Targeted AI Strategy

Instead of providing premium AI subscriptions to every employee, businesses could identify tasks where AI generates measurable value.

Examples could include:

• Software development
• Data analysis
• Research
• Customer support
• Document processing
• Content summarization
• Translation
• Sales analysis
• Report preparation
• Repetitive administrative work

The relevant question is not simply:

“Can this employee use AI?”

It is:

“Can this employee use AI to create or save more value than the tool costs?”

That is a much more useful way to evaluate AI spending.

AI Could Be Particularly Valuable for Repetitive Tasks

Automation can change the calculation substantially.

The analysis uses invoice processing as an example.

It estimates that manual processing by a minimum-wage employee could cost around Rs9 per invoice, while AI could perform the initial data-extraction stage for less than Rs3 under the assumptions used.

That does not necessarily mean humans can be removed from the process.

Invoices can contain unusual formats, incorrect information and exceptions requiring human judgement.

A more practical workflow could be:

AI extracts the information → employee checks exceptions → human approves final action

In such cases, AI becomes a productivity tool rather than simply a replacement for labour.

AI Could Also Reduce Training Time

One of the more interesting potential benefits involves new employees.

The analysis cites research involving more than 5,000 customer-support workers in which access to a generative AI assistant improved productivity, with particularly large benefits for less-experienced workers.

The Densight analysis says new employees using AI showed productivity improvements of around 34%.

It also argues that workers with approximately two months of experience using AI could reach productivity levels comparable with workers who had substantially more experience.

If AI shortens the time required for a new employee to become productive, the financial value may exceed the subscription price even when the employee’s salary is relatively low.

Cheap AI Is Not Automatically Productive AI

There is another side to the calculation.

AI does not always improve performance.

The analysis cites research suggesting that workers using AI outside the technology’s capabilities can sometimes perform worse.

Generative AI systems can:

• Produce incorrect information
• Invent sources
• Misinterpret instructions
• Make calculation errors
• Miss important context
• Generate plausible but inaccurate answers

This means a company cannot calculate AI’s return simply by measuring how quickly an employee completes a task.

Accuracy matters too.

Saving 20 minutes on a report has little value if another employee needs 30 minutes to correct the AI-generated mistakes.

Human Verification Still Matters

The best economic use of AI may therefore involve tasks where outputs can be checked efficiently.

For example, AI can produce a first draft of:

• An email
• A spreadsheet formula
• A meeting summary
• A report structure
• A software function
• A research outline

A knowledgeable employee can then review the result.

The employee remains responsible for accuracy while AI reduces the time spent producing the initial output.

AI Performance Is Becoming Cheaper Rapidly

The affordability problem is occurring even as AI itself becomes dramatically cheaper.

The analysis estimates that the cost of achieving a fixed level of AI performance has been declining by around 13 times per year since 2023.

Competition between AI providers, smaller models, improved hardware and more efficient inference are all contributing to lower costs.

That should eventually make capable AI available at lower prices.

However, lower global costs do not automatically eliminate Pakistan’s affordability problem.

Dollar Pricing Remains the Bigger Challenge

Suppose an AI subscription falls from $20 to $10 per month.

For a professional earning $5,000 monthly, the difference may be relatively minor.

For a Pakistani employee earning the equivalent of a few hundred dollars per month, the reduction is much more meaningful — but the subscription can still represent a considerable portion of income.

This is why purchasing power matters.

The same dollar price can have very different economic consequences in different countries.

Free AI Tiers Are Particularly Important in Pakistan

The availability of free AI services can help narrow this access gap.

Many major AI platforms offer some level of free access, although the limits and available models differ.

For students, freelancers and small businesses, free tiers can provide access to capabilities such as:

• Writing assistance
• Research support
• Coding help
• Translation
• Summarization
• Brainstorming
• Document analysis

Users can then consider upgrading only when the paid features generate enough additional value to justify their cost.

Local Pricing Could Become Increasingly Important

Software companies have long used regional pricing for entertainment, gaming and digital services.

AI companies could eventually face similar pressure.

Regional pricing could theoretically adjust subscription costs according to:

• Purchasing power
• Local income
• Currency conditions
• Market size
• Payment infrastructure

But regional pricing also creates challenges.

Large differences between countries can encourage users to attempt to purchase subscriptions through cheaper markets.

Providers therefore have to balance affordability against abuse and commercial sustainability.

Pakistan Is Simultaneously Trying to Expand AI Adoption

The affordability issue arrives as Pakistan is attempting to increase AI adoption across its economy.

The government announced in February 2026 that it intends to invest $1 billion in the AI sector by 2030.

Plans announced by Prime Minister Shehbaz Sharif include 1,000 fully funded AI PhD scholarships and a programme intended to train one million non-IT professionals in AI skills by 2030.

That makes affordable access to capable AI systems an increasingly relevant economic issue.

Training workers to use AI has limited value if businesses and individuals cannot afford the tools required to apply those skills commercially.

AI Could Create Significant Economic Value for Pakistan

Separate research on Pakistan’s AI opportunity estimates that the technology could potentially add approximately Rs4.4 trillion — around $16 billion — to Pakistan’s gross value added.

Such estimates should be treated as projections rather than guaranteed outcomes.

Still, they illustrate the scale of the potential economic opportunity.

AI could help Pakistani companies move from relatively low-margin outsourced services toward higher-value work involving:

• Software
• Data
• Research
• Automation
• Digital products
• AI-enabled professional services

But capturing that opportunity requires access to technology as well as skills.

Pakistan’s BPO Industry Faces Both an Opportunity and a Threat

The issue is particularly relevant for Pakistan’s business-process outsourcing and call-centre industry.

The analysis notes that Pakistan’s call-centre and BPO exports exceeded $300 million during the first 11 months of FY2025-26.

Generative AI increasingly performs tasks traditionally handled by outsourcing workers.

These can include:

• Customer-service responses
• Email handling
• Data extraction
• Basic research
• Transcription
• Translation
• Routine document processing

This creates two competing effects.

AI could make Pakistani outsourcing companies significantly more productive.

But it could also allow overseas clients to automate tasks they previously outsourced to Pakistan.

Pakistani Firms Cannot Simply Compete on Cheap Labour Forever

Pakistan has historically benefited in outsourcing partly because its labour costs are considerably lower than those in developed economies.

AI changes that equation.

If a U.S. company can automate a task cheaply, the wage difference between a Pakistani worker and an American worker becomes less important.

Pakistani businesses therefore have an incentive to use AI themselves.

The goal would be to combine comparatively affordable skilled labour with AI-driven productivity.

That could allow Pakistani companies to compete on value and productivity, rather than labour cost alone.

What Should Pakistani Businesses Do?

The economics suggest that companies should avoid both extremes.

Ignoring AI completely could leave a business less competitive.

Buying expensive AI licenses for everyone without measuring the benefit could waste money.

A better approach is to test AI on clearly defined tasks.

Businesses can measure:

Time before AI

versus

Time after AI

Then evaluate:

Subscription cost

against

Value of time saved + additional output generated.

Accuracy and quality should also be measured.

If the financial benefit consistently exceeds the cost, expanding the tool makes sense.

If it does not, the company can try a cheaper model, a shared workflow, API-based automation or a free alternative.

The 3,700% Number Needs Context

The headline figure is useful because it illustrates a genuine affordability problem.

But it can also easily be misunderstood.

AI tools do not necessarily have a retail price in Pakistan that is literally 3,700% above their U.S. price.

Instead, the analysis compares the subscription’s share of income.

Under its assumptions:

Pakistan: 15% of monthly minimum wage

versus

United States: around 0.4% of an illustrative monthly salary.

That makes the relative burden roughly 37 times greater.

The distinction is important because affordability and price are not the same thing.

The Bottom Line

AI is becoming cheaper globally, but that does not mean it is equally affordable everywhere.

For Pakistani workers earning in rupees, a subscription priced at international levels can consume a much larger percentage of income than it does for workers in wealthier economies.

A Rs6,000 monthly AI subscription represents 15% of a Rs40,000 minimum wage and 10% of a Rs60,000 junior employee’s salary.

For someone earning Rs500,000, however, the same subscription represents just 1.2%.

That means the economics of AI in Pakistan depend heavily on who is using the technology and what they are using it for.

For businesses, the strongest strategy may not be buying AI subscriptions for everyone.

It may be identifying the employees and workflows where AI can save enough time, improve enough output or automate enough repetitive work to clearly pay for itself.

And for Pakistan’s broader digital economy, the challenge is equally clear: falling AI costs are helpful, but making AI genuinely accessible will also require addressing the enormous purchasing-power gap between Pakistani workers and their counterparts in wealthier markets.