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Why Rising Oil Prices Can Push Up Inflation, Interest Rates and the Cost of Living

Why Rising Oil Prices Can Push Up Inflation, Interest Rates and the Cost of Living

12 March 2026

Paul Francis

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When oil prices rise sharply, the impact rarely stays confined to the energy sector. Oil sits at the centre of the global economy, meaning fluctuations in its price can ripple through everything from supermarket shelves to mortgage rates.


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For many people, the most visible effect is the cost of filling a car with petrol or diesel. But fuel prices are only the beginning. Oil is embedded deeply in the systems that move goods, manufacture products and power economies. When prices rise significantly, the effects spread across industries and eventually reach households.


Understanding why this happens requires looking at the broader relationship between energy, inflation and monetary policy.


Why Oil Prices Influence So Many Parts of the Economy

Oil is one of the most widely used commodities in the world, and its influence goes far beyond transportation. While petrol and diesel are the most obvious examples, crude oil is also used to produce plastics, chemicals, synthetic materials and many industrial products.

More importantly, oil underpins global logistics. Trucks, cargo ships and aircraft all rely heavily on fuel derived from crude oil. When oil becomes more expensive, transporting goods becomes more expensive as well.


This means that a rise in oil prices increases the cost of moving almost everything that consumers buy. Food, electronics, clothing and construction materials all pass through supply chains that depend on fuel.


Businesses often absorb some of these costs initially, but sustained increases in energy prices eventually filter through to retail prices. Companies adjust their pricing to protect margins, which contributes to broader inflation across the economy.


The result is that a rise in oil prices does not only affect motorists. It influences the cost structure of countless industries simultaneously.


The Link Between Oil Prices and Inflation

Inflation measures how quickly the prices of goods and services are rising across an economy. Energy costs play a major role in these calculations because they influence so many other sectors.


When oil prices rise, several inflationary pressures emerge at once. Transport costs increase, which pushes up the price of goods. Manufacturing becomes more expensive due to higher energy usage. Airlines raise ticket prices as jet fuel costs climb. Farmers also face higher costs for machinery, fertilisers and logistics.


All of these changes feed into consumer prices.


Economists often refer to energy as an “input cost” for the broader economy. When the cost of an important input rises, the price of the final products that rely on that input tends to rise as well.


History has repeatedly demonstrated this relationship. During major oil shocks in the past, particularly in the 1970s and during more recent geopolitical crises, surging energy prices played a significant role in pushing inflation higher.


In modern economies, the link still exists even though energy sources have diversified. Oil remains a key component of global trade and transportation, meaning its price continues to influence inflation across multiple sectors.


Why Central Banks Pay Close Attention to Oil

Central banks, including the Bank of England, closely monitor oil prices because of their influence on inflation. When inflation rises too quickly, central banks often respond by raising interest rates in an attempt to slow spending and stabilise prices.


Higher interest rates make borrowing more expensive for businesses and consumers. This tends to reduce demand across the economy, which can eventually ease inflationary pressure.


When oil prices rise sharply, central banks face a difficult balancing act. On one hand, higher energy costs can push inflation above target levels. On the other hand, the same energy shock can also slow economic growth by increasing costs for businesses and households.


This dilemma means central banks must carefully consider how persistent the oil price increase might be. If energy prices remain elevated for an extended period, policymakers may feel pressure to maintain higher interest rates for longer in order to keep inflation under control.


For households, this decision can have very real consequences.


How Oil Prices Can Affect Mortgage Rates

Interest rates influence mortgage costs because lenders base many of their products on central bank policy rates and bond market expectations. When investors believe interest rates will stay high, borrowing costs across the financial system tend to rise.


If rising oil prices contribute to higher inflation, central banks may delay interest rate cuts or even increase rates further. Mortgage providers adjust their rates accordingly, which can increase the cost of borrowing for homeowners and buyers.


For people on variable-rate mortgages, this can translate into higher monthly payments. Those seeking new mortgages may also find that fixed-rate deals become more expensive when markets expect interest rates to remain elevated.


Although oil prices are only one factor affecting mortgage rates, they can influence the broader economic conditions that shape interest rate decisions.


The Cost of Living Connection

The combined effect of higher fuel costs, rising consumer prices and increased borrowing costs can significantly affect the cost of living.


Households may feel the impact in several ways at once. Filling a car becomes more expensive, grocery prices rise as transportation costs increase, and mortgage payments may climb if interest rates remain high. Businesses facing higher operating costs may also slow hiring or reduce investment, which can influence wages and job markets.


These overlapping pressures are why energy shocks often coincide with periods of economic stress. When energy prices surge, they tend to affect both household budgets and national economic policy at the same time.


In recent years, the UK and many other countries have already experienced how rising energy prices can contribute to broader cost of living challenges. The connection between oil markets and everyday expenses is therefore more direct than it might initially appear.


Why Energy Markets Matter Beyond Fuel

Oil markets may appear distant from everyday life, but their influence reaches deep into economic systems. Because energy underpins transportation, manufacturing and trade, changes in oil prices often trigger a chain reaction across industries.


When geopolitical tensions or supply disruptions push oil prices higher, the effects can travel quickly from global markets to national economies and ultimately to household finances.


This is why economists, governments and central banks watch energy markets so closely. Oil prices do not just reflect the cost of fuel. They act as an early signal for wider economic pressures that can shape inflation, interest rates and the overall cost of living.


Understanding that connection helps explain why developments in global energy markets matter far beyond the oil industry itself.

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The Effects Of Tokenizing On AI

  • Writer: Reece Harrison
    Reece Harrison
  • May 20, 2025
  • 2 min read

First of all, let's start with what tokens are. Tokens are how an AI or computer program breaks up data into smaller bits or converts words into computer code that is easier for a computer to understand. For example, when an AI thinks of a word, it might not just think of that word directly; instead, it will associate it with something related. So, instead of just thinking of the word "pen," it might think of something like "the thing you write with," and only later use the word "pen" to convey its meaning.


Blue whale logo and "deepseek" text over white, wavy background. Minimalistic and serene design.


Drawbacks of Tokenization: Compromised Precision and Contextual Understanding

The main reason this process of tokenization is necessary is to save computational power. The energy required for an AI like ChatGPT to generate a response is already quite high; it takes about 519 millilitres of water to produce a 100-word reply. It may take a liter or more of water to cool down the system. Without tokenization, generating responses would produce much more heat and consume significantly more power, making AI operations much more expensive and causing longer wait times for replies.


Drawbacks of Tokenization: Compromised Precision and Contextual Understanding

However, there are drawbacks to tokenization. It means that the AI no longer perceives a word as just a word; rather, it sees it as something related to that word. Consequently, it can't count how many times a particular letter appears in it. Think of it like trying to describe a picture in your head; you might miss some details that were clear to you at the time. This can result in the AI providing a response that’s not fully aligned with what it intended to say, making it seem as if it doesn't know the answer when, in fact, it might have a better answer in its "mind." Another problem is that when the AI is prevented from recognizing words as they are, it must still convert its thoughts into words. This process leads to the AI picking related words, sometimes leading to multiple valid options.


The effects of temperature on AI

This is where the concept of "temperature" comes into play. Temperature affects how the AI selects words; for example, a temperature of 1 means it will always pick the most likely word from its list, while a temperature of 0.7 would slightly increase the chances of selecting the top word but still allow for some randomness. This approach helps the AI sound less repetitive and more varied in its responses. This is also why you may get 2 different replies to the same input. The standard temperature used by AI systems, like DeepSeek and ChatGPT, is typically 0.7, but some AI designed to sound more human might use a lower temperature, such as 0.5, since human language can be quite unpredictable at times.


Tokenization: Balancing Efficiency and Complexity in AI Systems

So, in conclusion, we use tokens to save on power and decrease the heat made when an AI makes a replay, but by doing so, we add new problems to the mix and solve some others. Tokenizing.

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