Karsten Wenzlaff, Advisor
August 26th, 2025
July 29, 2026 | NCFA Insight | Artificial Intelligence And Data, Public Sector Policy And Industrial Strategy, Banking And Credit

On July 29, 2026, the Bank of Canada released a working staff paper called Monetary Policy in an AI Driven Two Speed Economy raising a difficult possibility. AI could reduce jobs in some industries while the national inflation rate still looks calm.
The authors test this idea using a model with two industries. One adopts AI and needs fewer workers. The other continues operating near its limit. Lower interest rates can encourage spending and support jobs, but the same rate applies across the economy. A cut that helps the first industry can push up prices in the second.
The paper compares two hypothetical cases that produce the same increase in output:
These figures aren't forecasts or advice for the Bank of Canada. They show that replacing work creates a much larger employment challenge for monetary policy than helping workers become more productive.
The authors put the problem plainly:
"The apparent stability is cancellation, not balance."
The paper separates two ways AI can affect work. The first is augmentation, where AI helps someone complete an existing job faster. The second is automation, where software or machines take over tasks that people were paid to perform. Companies will often use both in the same business, but the difference is important.
Even the first case reduces the need for labour in the model's short run. That may sound backwards. If employees become more productive, a company can produce the same amount with fewer hours. Prices and customer demand do not adjust immediately, so new orders do not replace those hours quickly enough. Automation has a larger effect because some tasks leave the workforce altogether.
To restore employment, the model lowers rates enough to increase spending. The larger cut needed after automation also sends more demand into the industry already running near capacity, where businesses respond by raising prices rather than producing much more. That is why the 3.34 point result is more than a larger version of the 1.48 point result. It carries a greater inflation cost.
For founders and investors, two AI projects can produce the same increase in output and still create very different businesses. A company that helps employees handle more customers may increase sales, hiring and margins together. A company that removes whole tasks may improve margins while cutting payroll and reducing demand for certain skills. The headline productivity number doesn't tell you which one is happening.
When AI helps workers produce more, costs and prices can fall in the industries using it. A rate cut may then raise spending and prices elsewhere. The national average can look calm because the price changes cancel each other, even while AI exposed industries are losing jobs.
Automation produces a different result. The larger rate cut raises prices in both industries, so headline inflation reveals more of the strain. The comparison is that the same increase in output can create a different employment and inflation problem depending on whether AI supports paid work or replaces it.
Canada won't experience this evenly. Canada's AI productivity test found that adoption is already much higher in finance and insurance than across the business economy as a whole. Employment, wages, prices and AI use by industry may therefore tell policy makers more than one national average.
The model improves when workers can reach industries that still need them. With easier job transfers, the required rate cut falls from 1.48 to 0.44 percentage points when AI helps workers. It falls from 3.34 to 1.05 points when AI replaces tasks. Retraining, recognized credentials, relocation support and faster hiring between industries can reduce the pressure placed on interest rates.
Investment can produce the opposite result. When money flows quickly into companies automating work, financing and equipment can become more expensive for other businesses. In that model scenario, the required rate cut rises from 3.34 to 4.09 percentage points. An AI investment boom can strengthen the companies buying the technology while adding costs for businesses competing for capital, infrastructure and skilled operators.
Interest rate cuts can also preserve jobs that automation has removed from a company's long term staffing needs. That may delay workers from reaching employers that still need them. Lower rates can buy time, but they can't retrain a worker, recognize a credential or help someone qualify for a growing occupation.
That changes what leaders should measure. Operators need to separate productivity gained through higher sales from savings gained through fewer paid hours. Investors should distinguish growth led margins from payroll led margins. Policy makers need industry level data on AI use, job openings, wages and prices early enough to see whether workers are reaching expanding sectors.
When AI raises output, how much comes from serving more customers and how much comes from removing paid work?
Continue through the Canadian policy, business and financial developments most closely connected to AI productivity and employment.
This article interprets independent Bank of Canada staff research. The paper uses hypothetical model scenarios. It is not an economic forecast, interest rate recommendation or Governing Council position. Information is current to July 29, 2026 and is provided for informational purposes only.
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