You are 40, earning more than you did five years ago.

Your career looks stable. Your spouse is working too. Your current home has appreciated, and the children could certainly use another bedroom.

Then the bank tells you how much you can borrow.

Suddenly, the bigger condominium you thought was slightly out of reach looks possible.

The natural reaction?

If the bank says we can afford it, why not stretch a little more?

It is a fair question.

And in the age of artificial intelligence, the answer is not automatically to be more conservative.

AI could disrupt parts of your job.

But it could also make you more productive, open up higher-value roles, or accelerate your career if you learn to use it well.

That makes the property question more interesting.

If a mortgage could stay with you for the next 20 to 30 years, how much should you commit when your earning power could move in more than one direction?

Much of the conversation around AI and employment tends to fall into one of two camps.

AI will replace jobs.

Or AI will make workers dramatically more productive.

Singapore's early experience suggests both narratives are too simple.

In April 2026, the Ministry of Manpower (MOM) reported that 28.5% of firms had adopted AI in some form.

Among AI-adopting firms, only 6.2% reported reducing headcount.

By comparison:

• 18.9% redesigned job functions;
• 13.9% created new AI-related jobs; and
• 70.7% reported improvements in worker productivity.

AI adoption was also highest in several knowledge-intensive sectors where many PMETs work:

Source: MOM, stats.mom.gov.sg

So far, the more visible effect of AI in Singapore has not been widespread job disappearance.

It has been change.

Jobs are being redesigned.

New functions are appearing.

Existing workers are using technology to perform tasks differently.

And for many firms already using AI, productivity is improving.

That creates risk for workers whose skills do not keep pace.

But it also creates opportunity for those who can use the technology to become more valuable.

For a homebuyer, both sides matter.

Consider a couple earning a combined gross income of $20,000 a month.

They are thinking of upgrading and taking a $1.5 million housing loan over 30 years.

At an illustrative interest rate of 3%, their monthly mortgage would be approximately $6,300.

Today, that repayment consumes about 32% of their gross household income.

Now imagine that over the next several years, one or both partners benefit from career progression.

Perhaps AI removes lower-value administrative work and allows one partner to handle bigger accounts.

Perhaps the other retrains into a role with greater demand.

Perhaps productivity improves enough for them to take on broader responsibilities and eventually earn more.

What might the same mortgage look like then?

Illustrative example only. It excludes other debts, expenses, CPF usage and individual financial circumstances.

The mortgage has not become cheaper.

But relative to the household's earnings, it has become easier to carry.

The additional income could then support other priorities.

Retirement savings.

Children's needs.

Investments.

Earlier mortgage repayment.

Or simply the lifestyle that motivated the family to upgrade in the first place.

This is one reason it would be incomplete to treat AI only as an employment threat.

MOM found that 70.7% of firms using AI reported improvements in worker productivity, while job redesign and new AI-related roles were considerably more common than headcount reductions.

That does not mean an individual worker should automatically expect a pay rise.

MOM has said it does not yet have data establishing a salary premium for workers with AI skills in Singapore. Salaries still depend on factors such as sector, experience and labour-market conditions.

But the opportunity is real.

AI could increase the value of what some workers are able to produce, and those who adapt successfully may find themselves with greater career options rather than fewer.

The broader labour market also provides important context.

Singapore's resident unemployment rate remained low at 2.9% in June 2026.

There were still 1.48 job vacancies for every unemployed person, meaning available positions continued to outnumber jobseekers.

Total employment also expanded by 11,400 in the second quarter, while resident employment continued to grow.

There were signs of softening.

Retrenchments rose in the second quarter and were concentrated in sectors including Manufacturing, Information & Communications and Financial Services. The six-month re-entry rate for retrenched residents also fell from 60.7% to 54.9%.

Even so, the 12-month re-entry rate remained broadly stable at 69.8%.

This does not describe an employment market where PMETs should assume the worst.

Rather, it describes a labour market that remains resilient while some sectors undergo restructuring.

And that is a much more useful starting point for a property decision.

Do not plan on the assumption that your income will collapse. But do not assume its path will be perfectly straight either.

Now look at the same household from the other direction.

The couple still earns $20,000 a month today.

Their mortgage is still approximately $6,300.

But suppose one partner goes through a career transition and household income temporarily changes.

Illustrative example only. It excludes other debts, expenses, CPF usage and individual financial circumstances.

Again, the property has not changed.

The mortgage has not changed.

Only the income supporting it has.

And the disruption need not be permanent retrenchment.

One partner could move into a new function.

Variable pay could fall.

A career switch might temporarily come with lower compensation.

Or someone may spend several months between positions before returning to work.

For a long-term borrower, the more useful question is therefore not simply whether AI eliminates the job.

It is whether a period of transition could temporarily interrupt the income path the household had assumed.

This is also why examples such as Shopee's 2026 restructuring need to be interpreted carefully.

Software engineers were among employees affected by job cuts in Singapore, while parent company Sea was simultaneously investing heavily in AI.

Shopee did not say that those workers had been replaced by AI. The company attributed staffing adjustments to operational and business priorities.

The lesson is therefore not that AI automatically destroys secure jobs.

It is that even highly skilled roles can evolve as technology, business strategy and organisational priorities change.

Singapore's Total Debt Servicing Ratio, or TDSR, requires a borrower's total monthly debt obligations to stay within 55% of gross monthly income.

That is already a significant safeguard against excessive borrowing.

And the framework is more conservative than the headline 55% might suggest.

For residential property loans granted by financial institutions, the TDSR calculation uses the higher of the loan's thereafter interest rate or a 4% medium-term interest-rate floor.

Variable income such as bonuses, commissions and allowances is also subject to a minimum 30% haircut for TDSR purposes.

In other words, the financing framework already builds in protection against higher interest rates and less dependable income.

That distinction matters.

Passing TDSR is not the same as saying the bank has ignored risk.

Quite the opposite.

But there is one thing no borrowing framework can forecast precisely:

how your career will develop over the next 20 or 30 years.

Your income could rise.

It could remain relatively stable.

Or you could experience a temporary setback before recovering.

That is not an argument against upgrading.

It is a reason to look at the mortgage across more than one version of the future.

Someone in their late 30s or 40s may be in one of the strongest financial positions of their life.

Your salary may be considerably higher than it was a decade ago.

You may have accumulated substantial CPF savings.

Your existing home may have appreciated.

You may also have a clearer idea of what your family needs from its next property.

More bedrooms.

A location closer to schools or parents.

A more suitable layout.

Better connectivity.

Or a home capable of serving the family for the next ten to fifteen years.

Those are not trivial benefits.

There is also a financial argument for getting the move right.

Buying a property that the family outgrows too quickly could mean another set of transaction costs, renovation expenses and moving costs later.

If both careers continue progressing and the household has sufficient reserves, choosing the larger or better-located home today may ultimately prove to be the more practical decision.

So the question should not be:

"Should I avoid stretching because of AI?"

A better one is:

"If I stretch for the home I genuinely want, does the rest of my financial position still give me enough room?"

That is a very different conversation.

Most buyers already understand the importance of testing a mortgage against higher interest rates.

Career planning can be approached in a similar way.

Instead of making one prediction about what AI will do to your industry, run several.

Scenario 1: The Upside Case

Your income rises as you become more productive, move into a higher-value role or benefit from normal career progression.

Would you use that additional capacity to build investments, repay the mortgage faster or strengthen retirement savings?

This scenario matters because a mortgage that looks slightly more demanding today could become substantially easier to carry as household income grows.

Scenario 2: The Base Case

Your income broadly keeps pace with today's level.

The job changes, perhaps considerably, but your household earnings remain relatively stable.

Does the home still allow enough room for retirement, family expenses and other financial goals?

For many buyers, this may be the most useful benchmark.

Scenario 3: The Transition Case

One income falls temporarily, bonuses disappear or a career change creates several months of lower earnings.

Can savings and the remaining income bridge that period without forcing a property decision?

The aim is not to design your entire purchase around the worst possible outcome.

It is simply to make sure a temporary setback does not undo an otherwise sound long-term upgrade.

An emergency reserve is usually framed as protection against unemployment or unexpected expenses.

For a mid-career professional, it can also create opportunity.

Having liquidity could allow you to take a course.

Move into a new role.

Spend longer finding the right job rather than accepting the first one available.

Build a side business.

Or take advantage of opportunities created by the very technology changing your industry.

CPF Board recommends maintaining three to six months of expenses for emergencies and retaining some Ordinary Account savings as a housing safety buffer.

That buffer therefore does not have to be viewed as money that stops you from upgrading.

It can be part of what enables you to upgrade with greater confidence.

This is where the distinction becomes important.

Suppose the bank says a household can borrow $1.5 million.

One response is to use the full amount.

Another is to borrow substantially less.

Neither is automatically correct.

The better question is what combination of property, loan and reserves works for that household.

A family may decide that the larger home is worth stretching for because:

• it can serve them for much longer;
• the location significantly improves their daily life;
• both incomes are diversified across different industries;
• there are still substantial savings after completion;
• repayments remain manageable even if bonuses disappear; or
• the larger purchase avoids another upgrade several years later.

Another household may reach the same property budget differently.

Perhaps they contribute more equity and take a smaller loan.

Perhaps they wait slightly longer to rebuild reserves.

Perhaps they choose a different unit within the same development.

Perhaps they are comfortable using more of their borrowing capacity because their financial position gives them sufficient room elsewhere.

Right-sizing does not mean buying less property.

It means deciding how to structure the purchase so that the home meets the family's ambitions without consuming every available financial resource.

There is also an opportunity cost to being too cautious.

If both careers progress as expected and the larger home appreciates, choosing a less suitable property purely to minimise debt could mean giving up some potential asset growth.

If the family eventually upgrades anyway, it may also incur another round of transaction, moving and renovation costs.

So the objective is not maximum caution.

Nor is it maximum borrowing.

It is to find the balance between the home you want today and the financial flexibility you may value tomorrow.

For many households, moving to a larger or better home will still make sense.

AI does not change the need for space.

It does not change where your children's school is.

It does not change the desire to live nearer your parents.

And it does not make a stable, long-term housing need disappear.

If the family genuinely needs another bedroom, a better location or a home that can serve them for the next decade or more, those considerations remain valid.

Nor should buyers assume that AI will necessarily weaken their ability to afford that home.

If productivity improves, new opportunities emerge and household income rises over time, the mortgage that feels like a stretch today could become progressively easier to carry.

That is why AI should not automatically push buyers towards a smaller home or a delayed upgrade.

It should simply encourage them to test the move against more than one possible career outcome.

A household might see its earnings rise.

They might remain broadly stable.

Or there may be a period of disruption before income recovers.

A well-structured upgrade should be able to live through more than one of those paths.

For a mid-career buyer, the more useful question may be:

"Can I make this upgrade work across different versions of my future?"

That means looking beyond the purchase price alone.

It means understanding the mortgage, the reserves left after completion, the household's ability to absorb a temporary change in income and the potential upside if careers continue progressing.

Sometimes that assessment will support stretching for the bigger home.

Perhaps the household has strong reserves, two relatively diversified incomes and a property that can meet the family's needs for much longer.

In that situation, stretching a little further today may prevent another move later and allow the family to enjoy the benefits of the home for more years.

In other cases, the answer may be to structure the same upgrade differently.

More equity.

A slightly smaller loan.

A different unit.

Or simply more reserves before completion.

The objective is not to predict exactly what AI will do to your career.

No one can.

It is to make a property decision that gives you room to benefit if things go well, while remaining resilient if they do not.

Your bank can tell you how much home today's income allows you to finance.

The more important decision is how much of that capacity you want to commit to the home that fits your family's next chapter.

Because in an economy where careers may evolve faster than before, the strongest property plan is not necessarily the most cautious one.

It is the one that gives you enough confidence to move forward without depending on only one version of the future.