How to create images with artificial intelligence

images with artificial intelligence

How to create images using artificial intelligence: Where do we stand? Discover all the steps in this comprehensive guide.

If you, too, have seen the images created by artificial intelligence – and if you haven’t, who knows where you live – your crevello will have ventured an argument like this. There was a time, not so long ago, when creating an image required pencils, brushes, cameras or, for the more modern, graphics tablets and hours of painstaking patience. Then, almost out of nowhere, generative artificial intelligence exploded. Suddenly, our social feeds, company presentations and even group chats were filled with dreamy, hyper-realistic and bizarre images, all spawned by an algorithm. “You want a Van Gogh-style astronaut cat eating ice cream on Mars? Give me two minutes.”

This new frontier of digital creativity has triggered a mixture of wonder and apprehension. On the one hand, the promise of democratising art, of giving anyone the power to visualise the impossible; on the other, the fear of a future where real artists, those in the flesh, end up begging robots. But before we panic or exclaim, let us try to understand how artificial intelligence creates images.

Creating images with artificial intelligence: what’s behind the magic?

Behind the apparent wizardry of an image that comes from a simple sentence, there is a concentration of technology that, until a few years ago, was the stuff of science fiction films. We are talking about machine learning and neural networks, i.e. software that attempts to imitate the functioning of the human brain. These systems are ‘trained’ on endless databases containing billions of existing images, each accompanied by a textual description.

The models most in vogue today, such as those based on ‘Diffusion’ architectures (such as Stable Diffusion, DALL-E 3, Midjourney), learn to associate words with visual concepts. In practice, they start from a digital ‘noise’, a kind of indistinct fog, and, guided by our textual input (the famous ‘prompt’), begin to ‘sculpt’ this noise, one small step at a time, until the required image emerges. Imagine a sculptor pulling a statue out of a shapeless block of marble, only the marble is digital, and the chisel is an algorithm that has seen more works of art than any living critic. The result? Sometimes a masterpiece, other times something that looks like something out of a Dali nightmare after a heavy dinner.

How to generate images with AI: instructions for use

If you think it is enough to type ‘cat’ to make artificial intelligence create the image of a purring feline from the screen, you will be disappointed. The art of dialoguing with these AIs, known by the somewhat pretentious Anglophone term prompt engineering, is a subtle discipline, somewhere between poetry and programming.

You have to be specific, almost pedantic. You want a ‘dog’? Fine, but what breed? What is it doing? Where is it? In what light? In what pictorial style? “A golden retriever puppy sleeping blissfully in a red velvet armchair, illuminated by warm afternoon light, Renaissance oil painting style”. There, now we’re getting somewhere. 

Then there are the negative prompts, or instructions on what NOT to do: “no double tails, please”, “avoid that plastic effect”, “I beg you, no more than five fingers on each hand!”. The process is iterative: you generate, observe the result, refine the prompt, regenerate, and so on, in a loop that can lead to the perfect image or to deciding that, perhaps, a hand-drawn picture was better. At first, it is easy to get digital abominations: that ‘cat on a bike’ might turn into a Lovecraftian tangle of fur and pedal metal. But with a little practice (and a lot of patience), you can begin to tame the algorithmic beast and start creating quality artificial intelligence (AI) images.

 Lights and shadows: the pros and cons of AI-generated images

Like any self-respecting technology, image-generative AI also brings with it a wealth of opportunities and a few skeletons in the cupboard. Here is a brief summary of what, at least in our opinion, are the pros and cons of this technological breakthrough.

Pros:

  • Democratisation of creativity: anyone, even someone who draws like a three-year-old, can give visual form to their ideas. Need a logo on the fly? An illustration for a post? An inspiration for a tattoo? Ask and (maybe) you’ll get it;
  • Speed and efficiency: for designers, creatives and marketers, it is a crazy tool for brainstorming, creating moodboards, concept art, and rapid prototypes. Hours of work condensed into a few minutes;
  • New aesthetic horizons: AI can mix styles, invent perspectives, create images that a human might not conceive, opening up unprecedented art forms;
  • Pure fun: let’s face it, asking the AI to draw absurd things is often hilarious;

Cons:

  • The six-finger nightmare (and other amenities): the infamous ‘uncanny valley’ is always lurking. Hands with too many or too few fingers, faces that melt like wax, seasick perspectives, objects that defy the laws of physics. Sometimes, the results are so surreal that they themselves become an unintentional art form.
  • The fair of the generic: with the ease of use, the risk is a rising tide of images that are aesthetically pleasing but devoid of soul, all a bit the same, a bit ‘Midjourney effect’. The world is now invaded by cyberpunk kittens with a variable (but hardly ever correct) number of legs.
  • The crisis of originality: if everyone uses the same tools and maybe even similar prompts, don’t we risk a stylistic flattening?
  • But is this art?: the debate is open and heated. If a machine ‘makes’ the work, is it still art? Who is the artist? Who writes the prompt, or the algorithm? My cousin, who until yesterday was only making memes of dubious quality, now calls himself ‘an international prompt artist’, complete with a portfolio on LinkedIn.

And from a philosophical point of view?

And here the matter gets serious, because the implications go far beyond the number of fingers. The first problem, which has long been central to the debate on artificial intelligence, not only when it is used to create images, is related to copyright and the question: whose image is generated? Of the user who wrote the prompt? Of the company that created the AI? Or is it a derivative of the myriad images used for training, many of which may be copyrighted? At the moment, it’s a legal Wild West. And what about the prompting ‘in the style of [famous living artist]’? Is it homage or theft?

Then there is the work-related issue. Will artificial intelligence destroy the market for illustrators, photographers, graphic designers, or just make it more productive? We like to be optimistic, imagining a world where AI is a powerful ‘creative assistant’, freeing humans from superficial tasks and allowing us to focus on the most valuable tasks.

Let us close with the two main ethical dilemmas. The first is frightening and concerns the ease with which false but realistic images can be created with intelligence. Photos of events that never happened, faces of people stuck on the bodies of others. The implications in terms of disinformation, manipulation of public opinion, and trust in sources are enormous. Distinguishing the true from the plausible will become an increasingly challenging task.

Finally, it must be emphasised that AIs are trained on data created by human beings. If this data contains prejudices (gender, ethnic, cultural), the AI will learn and replicate them, which may lead to the creation of stereotypical images or the exclusion of certain representations. The algorithm, in short, can be as racist or sexist as the societies that nurtured it.

In short, the possibility of creating images with artificial intelligence is certainly as revolutionary as the invention of photography or digital photo editing. As we are increasingly realising, AI is an incredibly powerful tool, capable of democratising creativity, accelerating production processes, but also raising profound questions about the nature of art, work and truth itself. Like any tool, its impact – beneficial or maleficent – will depend on how we choose to use it, adjust it and integrate it into our lives. It is neither a demon to be exorcised nor a magic wand that will solve every problem. It is, more prosaically, a powerful new set of digital crayons available to humanity. Get ready for a future where, in order to understand whether your friend’s holiday photo is real or ‘prompt’, you will need a trained eye, a second coffee and, perhaps, an honorary degree in the philosophy of perception. The good (and the bad) has just begun.

Donald Trump and tariffs: the truth hurts you

donald trump

US President Donald Trump has supported the duties with often false or inaccurate statements. Here we will look at the most sensational ones. Enjoy!

US President Donald J. Trump based his campaign on the need to make America great again – Make America Great Again – and did so to the tune of slogans and catchphrases such as ‘America First!’ and ‘return to the Golden Age’. The trade tariffs, imposed, then lifted, and then reinstated, are the result of this strategy and are justified by blows of impressive statements. The problem is that many of these are unfounded. Off to fact-checking!

Donald Trump, when talking about the United States, tends to inflate the figure.s

Donald Trump is a proud American and, as such, is prone to magnifying everything about the United States of America, including numbers. Let us examine some sovereignist flare-ups: 

  • The Paris Climate Agreement cost the United States trillions of dollars that other countries were not paying. In Congress on 4 March 2025, Donald Trump justified his exit from the Paris Climate Agreement in this way: untrue, the United States has never earmarked even remotely similar sums for the Agreement. Joe Biden, when he took office, promised to allocate around $11 billion per year, a figure that was later scaled back. 
  • Honda has just announced a new plant in Indiana, one of the largest in the world‘. Also at the Congress on 4 March 2025, the US President declared in a triumphant tone the construction of a new industrial hub by the Japanese giant: untrue, Honda had expressed its intention to build the latest Honda Civic in Indiana rather than Mexico, as reported by Reuters, without confirming this.  
  • The US is collecting $2 billion a day from customs duties. ‘. Statement of 8 April 2025, during a speech to coal industry workers: false, the figure is in the hundreds of millions, not billions and, most importantly, the duties are borne by American importers, not foreign exporters.  
  • We were losing $2 trillion a year on trade“—sentence uttered by Donald Trump on 22 April 2025 during an interview with Time in the White House. Here, the POTUS refers to the US trade deficit with the rest of the world before his arrival: false, in 2024 the imbalance amounted to some $918 billion, in 2023 to $773 billion, in 2022 to $945 billion, and so on. 
  • I have signed 200 agreements. ‘. On 25 April 2025, in the same interview with the Times, when asked, ‘Not a single one (trade agreement, ed.) has been announced. When will you announce them?” Donald Trump replied with a dry “I have closed 200 deals”: untrue, there was – and is – no evidence to validate this claim.

Donald Trump and the European Union: not quite love at first sight

That the President of the United States of America has no excessive sympathy for the Old Continent is a well-known fact: just recently, he confirmed this ‘slight’ antipathy by raising tariffs to 50%. Let us see why: 

  • They don’t buy our cars, they don’t buy our food. They don’t buy anything.” On Sunday, 6 April 2025, Donald Trump told reporters aboard the presidential plane Air Force One that the EU would take advantage of the US: untrue. In 2024 alone, the EU imported almost $650 billion worth of goods from the US. Not exactly chump change. 
  • They don’t take our agricultural products“. Also on that 6 April, POTUS accused us of not buying goods and commodities for agriculture: untrue, as the US government itself reports, in 2024, the European Union spent almost $13 billion (+1% compared to 2023) on agricultural commodities. We like American dried (nuts) fruit.
  • They put up barriers that make it impossible to sell a car. It’s not a question of money. It’s that they make everything so difficult: the standards, the tests. They drop a bowling ball on the roof of your car from 20 feet up. And if there’s a small dent, they tell you: ‘Sorry, your car is not suitable‘. This is beautiful. Monday, 7 April 2025, bilateral with Israeli Prime Minister Benjamin Netanyahu: untrue, there is no similar safety check in Europe, and most importantly, nowhere does it say that minor damage can cause the car to fail the test. 
  • The European Union was created to exploit the United States of America‘: false. On 10 April 2025, Donald Trump is the protagonist of a tirade so vague that it is difficult to refute. In any case, numerous scholars – especially historians and economists – have been taken aback by this statement. John O’Brennan, a leading professor of European Integration, European Union Politics, and International Relations, said that this statement ‘could not be more wrong or inaccurate‘. And like many others.

From China with fury

That Americans and Chinese do not get along well is well known. US President Donald Trump, since his inauguration, has stepped up his game with a trade war based on extreme tariffs that was later suspended. Let us examine some of his recent mental gymnastics:

  • We had massive deficits with China. Biden let the situation get out of hand. These are $1.1 trillion deficits; ridiculous, and it is simply an unfair relationship. It is 23 January 2025, and we are at the annual meeting of the World Economic Forum in Davos when these words come from the speakers: false. The fact checkers indicate that in 202,3 indeed the US trade deficit as a whole will be around that figure. Donald Trump, however, forgets one crucial detail: the $1.1 trillion deficit concerns the whole world, not just China, and only considers goods without including services in the calculation. 
  • We have a deficit with China of more than a trillion dollars. ‘ This was stated by The Donald in an interview on Fox News Radio on 21 February 2025: false. As reported by the B.E.A. (Bureau of Economic Analysis), in 202,4 the trade deficit was around $263 billion; in 2023 the figure was close to $252 billion. In short, it was wrong by about $730 billion.
  • China has never paid even 10 cents to any other American president. Liberation Day, Wednesday 2 April 2025. Donald Trump announces tariffs for the first time and finds time to fire another propaganda bullet. By this, POTUS meant that before him, the Chinese were free to trade with the US for free: untrue. In 1792, Alexander Hamilton, then US Secretary of the Treasury, proposed the Tariff Act – also known as the Hamilton Tariff – to incentivise the consumption of domestically produced goods. 

For Donald Trump, the grass is always greener on the other side

We close this review of rhetorical acrobatics with the United States’ neighbours: Canada and Mexico. These three great nations have always had very close trade relations, formalised by various agreements including NAFTA (North American Free Trade Agreement) and the USMCA (United States Mexico Canada Agreement). 

  • The US has a ‘200 billion deficit with Canada. He emphasised this several times on 7 January 2025 at a press conference at his home in Mar-a-Lago: false. Again, the B.E.A. data tell us that in 2024 the imbalance between imports and exports with Canada amounted to $35.7 billion.
  • Canada is “ONE OF THE NATIONS WITH THE HIGHEST DUTIES IN THE WORLD“. All caps because Donald Trump, on Truth, often writes in caps lock. On 11 March 202,5, he published this statement: false, as also reported by the World Bank, which puts Canada in 102nd position out of 137 countries for weighted average tariff on all products. This indicator reflects the average import tax, calculated by taking into account the weight of different products imported.
  • Canada does not allow American banks to do business in Canada, but their banks invade the American market. Oh, that sounds about right, doesn’t it?” he wrote in Truth on 4 March 2025: untrue, Canada does not ban foreign banks, much less American ones. They have recently tightened regulations, but banking institutions like Bank of America, Citigroup, and Wells Fargo have been operating in Canada for more than a hundred years.
  • We have a $200 billion trade deficit with Mexico“. The US President said this on 9 February 2025, during an interview for Fox News: untrue. Again, the B.E.A.’s 2024 figures show a trade deficit of around $180 billion, half of what Trump said.

In short, we have only analysed one tenth of the falsehoods that the 48th President of the United States of America has been able to invent during these first five months in office. Knowing the data is very important and allows you to speak with full knowledge of the facts and avoid embarrassing and momentous blunders. 

For this reason, join Young Platform and get informed so that you will have safe arguments with your friends during the Thursday afternoon aperitif!

The 4% Rule: Early Retirement Explained

Early Retirement Explained

How to retire early? Many people desire early retirement, and the 4% rule can provide assistance, despite its drawbacks. Let’s explore what it entails.

Early retirement is a dream for many working individuals, as it allows them to enjoy their savings while they still have the energy to do so. However, with the retirement age increasing almost every year, this opportunity often arrives later in life. The 4 % rule is one approach that can help people achieve their goal of early retirement. In this article, we will examine the 4% rule, including its benefits and drawbacks.

Early retirement and the 4% rule: the origins 

The 4% rule originated in the United States, a country guided by the Latin proverb “homo faber fortunae suae,” which means “man is the author of his own destiny.” This mindset encourages citizens to rely on their own abilities rather than depending heavily on the government. As a result, Americans often gain familiarity with investments from a young age, driven by the belief that their future largely depends on their personal actions. This mentality has led to the development of various financial theories related to savings and retirement, including the popular 52-week challenge and the 4% rule that we will discuss today.

William Bengen, an aerospace engineer born in 1947 in Brooklyn, New York, is the inventor of this principle. He earned a master’s degree in financial planning in 1993. The following year, he published an article titled “Calculating Withdrawal Rates Using Historical Data” in the Journal of Financial Planning. In this article, Bengen analysed extensive historical data on the U.S. market and discovered that it is possible to sustain oneself on savings for up to 30 years. His method involves withdrawing 4% of one’s investment portfolio each year and adjusting this amount for inflation starting in the second year.

It’s essential to recognise that the American pension system differs significantly from European systems and is structured around three primary pillars: social security, private pension funds, and personal investments, including Individual Retirement Accounts (IRAs) and 401(k) plans. A key aspect that helps us understand Bengen’s strategy is that the 4% rule is based on the idea that pensions are “dynamic” rather than static. This means that when Americans save for retirement, they typically invest their money in a variety of assets, including stocks, bonds, exchange-traded funds (ETFs), and mutual funds. As a result, their pensions tend to grow over time. The 4% rule is designed conservatively, suggesting that this withdrawal rate would generally provide enough income to live comfortably for roughly 30 years. 

To illustrate this point more clearly, let’s examine a concrete example.

How does the 4% rule work?

To determine how much capital you need for retirement, start by calculating your average annual expenses. Once you have this figure, divide it by the %age you plan to withdraw annually, which is typically 4% (or 0.04). 

For example, if you anticipate needing 15,000€ per year for expenses (which breaks down to 1,250€ per month for 12 months), you would divide this amount by 4%: 

15,000€ ÷ 0.04 = 375,000€. 

This means you should aim to have 375,000€ in investments. According to Bengen’s perspective, this capital would be invested in the stock market and would generate an annual return.

Great! You can stop working and enjoy your free time. In the first year, you withdraw 4% of your initial amount, which is €15,000. From the second year onward, you will adjust your withdrawal amount to account for inflation, specifically increasing it by 2%. This means you would withdraw €15,300 in the second year, and continue to adjust this amount annually based on inflation. Meanwhile, the invested capital is expected to generate enough profit to cover these withdrawals, allowing the portfolio to remain sustainable even during years when the market does not perform as well as expected. However, there are some caveats to consider.

Bengen’s early retirement fails to grasp some critical issues

First of all, it’s important to recognise that this is a purely theoretical rule and may not accurately reflect real-life situations. While calculating average annual expenses can be helpful, it doesn’t account for unique circumstances, such as wanting to take a trip to El Salvador or managing unexpected costs like car repairs. In these instances, you may need to reevaluate the amount you plan to withdraw to cover these unforeseen expenses—unless you have a dedicated emergency fund set aside.

Additionally, it’s crucial to consider the costs and fees associated with managing your investments. The Total Expense Ratio (TER) encompasses all operational expenses of a fund, including those related to mutual funds or ETFs. These fees can significantly impact your net investment return. If you decide to work with a financial advisor, their fees will also be factored in. For example, a gross return of 7% could ultimately result in a net return of only 5.5% after deducting these costs. Keep in mind that every euro spent on commissions is a euro that isn’t working toward your future. If you’re interested in experiencing life in a country that has adopted Bitcoin as legal tender, consider planning a trip to El Salvador. You can also explore clubs offering discounts through WeRoad. Furthermore, join the Young Platform to stay updated on relevant guides and news!

How do interest rates work? Why does the ECB raise them, and what are the implications?

Hausse des taux d’intérêt

What are the consequences of the European Central Bank (ECB) raising interest rates? It might seem like a technical adjustment, but the impact of this policy is significant, affecting everyone—from businesses to individual savers. So, what actually happens when the ECB makes this decision during its monetary policy meetings?

Here is the full calendar of the European Central Bank’s meetings for 2025.

What Are Interest Rates?

Before exploring the consequences of an ECB interest rate hike, it’s essential to clarify a few basic concepts. Generally speaking, interest rates are percentages that indicate the cost of borrowing money—that is, what you pay the bank when you take out a loan. At the same time, they determine how much your savings earn—essentially, the return on money deposited in a bank.

For example, if you borrow €10,000 at an interest rate of 3%, you’ll need to repay the original amount plus 3%, which comes to €300.

On the other hand, if you deposit €10,000 at a 3% interest rate, you’ll earn €300 per year.

ECB interest rates, however, are more like “fees” that the institution charges commercial banks in the Eurozone when it lends them money. These rates act as a benchmark for the rates that banks then offer to their customers.

ECB Interest Rates: The Different Types

The ECB sets three main types of interest rates:

  • Main refinancing operations rate: This is the rate applied to banks borrowing money from Frankfurt for a period of one week.
  • Marginal lending facility rate: This applies to overnight loans—those that must be repaid by the next working day.
  • Deposit facility rate: This is the rate paid on money that banks deposit overnight with the central bank.

These are three distinct but interrelated rates, and the European Central Bank usually adjusts them simultaneously, either raising or lowering them together. You can follow this section each month to stay updated on forecasts and outcomes from the ECB’s monetary policy meetings.

Why Does the ECB Raise Interest Rates?

For the European Central Bank, interest rates are a key tool of monetary policy used to fulfil its main objective: maintaining price stability.

This stability is most commonly threatened by inflation, which drives prices up significantly. When inflation is high, the purchasing power of individuals falls—in other words, people can buy less with the same amount of money compared to periods of lower inflation.

To help restore purchasing power, the ECB resorts to raising interest rates. But how exactly are these two elements connected, and what are the consequences of such a monetary policy decision?

ECB Interest Rate Hikes: What Are the Consequences?

More Expensive Loans and Reduced Spending

One of the first consequences of a rise in interest rates is that borrowing becomes more expensive. As a result, people are encouraged to save rather than spend, and the amount of money in circulation decreases—since borrowing and investing money becomes less attractive.

Higher Returns for Savers

When the ECB raises interest rates, it becomes more expensive for banks to access funding. Consequently, it’s less favourable for customers to take out loans. Mortgages become less affordable, and it becomes harder for businesses to secure financing. However, savers benefit from higher returns on their deposits.

Currency Appreciation

Higher interest rates can attract foreign investment, strengthening the euro. This can make imports cheaper and contribute further to reducing inflation.

These are the most immediate effects of an ECB interest rate hike. However, the decision is part of a broader monetary strategy. Raising rates also helps to lower inflation expectations, which can ease pressure on wage demands—as workers are less likely to push for higher salaries. The European Central Bank also aims to avoid a wage-price spiral and protect the labour market.

Current Situation: 2025

Following a period of interest rate hikes aimed at curbing inflation, the ECB began cutting rates in 2025. On 17 April 2025, the Bank reduced interest rates by 25 basis points, bringing the deposit rate down to 2.25%, the main refinancing rate to 2.40%, and the marginal lending rate to 2.65%.

This decision was made against a backdrop of falling inflation and sluggish economic growth, with the goal of stimulating the Eurozone economy.

Impact on Mortgages

The rate cuts have had a positive effect on mortgages:

  • Variable-rate mortgages: Monthly payments have decreased; for instance, a typical 25-year mortgage of €126,000 has seen repayments fall by around €17.
  • Fixed-rate mortgages: These have become more attractive, with rates currently ranging between 2.19% and 3.85%.

Banks are adjusting their offers in line with the ECB’s policy shift, making this a favourable time for anyone looking to take out a mortgage.

The ECB’s next monetary policy meeting is scheduled for 5 June 2025, during which further rate cuts may be considered, depending on inflation trends and economic performance.

How to save money: the 52-week challenge

how to save money

How can I save money on a new phone or a trip to Spain? Here is a super method to make your wishes come true

If you’re struggling to save money and create an extra budget for yourself, you’re not alone, and we completely understand. Saving money can be exhausting, requires discipline, and often involves making sacrifices. However, there are strategies that can make this process easier. One effective method is the 52-week challenge, which enables you to save a significant amount of money without even realising it. Here, we explain how it works.

How to save money in 52 weeks: why get involved  

Saving money is essential and should be prioritised regardless of circumstances. Starting a savings challenge, like the 52-week money challenge, is beneficial because the perceived effort is minimal compared to the rewards. This challenge’s strength lies in its long-term goal of saving over a year, allowing you to build your savings without significantly disrupting your lifestyle.

Imagine walking past a music shop and seeing a beautiful Fender Stratocaster guitar that you fall in love with. You want it badly, so you go in to ask for the price: €1,149. While this is a substantial amount of money, you set your goal to have the guitar in three months. This means you would need to cut about €400 from your monthly miscellaneous expenses, leading to three months without dining out and strict spending on Friday and Saturday nights.

However, if you extended your savings plan to twelve months, you would only need to save €100 each month, a much smaller figure that has a less significant impact on your lifestyle and, as a result, lowers your perceived effort.

The 52-week challenge outlines a method for saving money without even noticing it.

Saving €1,149 over twelve months is undoubtedly easier than doing so in just three months. The 52-week method is specifically designed to prevent impulse purchases, as it allows for a longer time frame. This is crucial because, as we have discussed in this article, impulse purchases can hinder effective saving strategies. The 52-week challenge divides the savings goal into manageable portions, allowing you to think of it as a prepayment spread out over 52 convenient instalments.

The principle behind this savings method is straightforward yet effective: it involves setting aside an amount of money that corresponds to the week number you’re in. For example, during the first week (week one), you will save €1; in the second week (week two), you’ll save €2; in the third week (week three), €3; and so on, until the last week (week 52), where you will save €52. By the end of the year, you will have accumulated a total of €1,378. 

The last month can be particularly challenging, as you’ll need to save around €200. However, you can easily adapt the challenge to fit your needs. For example, you might choose to start from week 52 to tackle the most difficult savings first, double the weekly amounts to reach a total of €2,756, or even shorten the duration based on your specific savings goals. In summary, this system allows for flexibility and creativity, providing a gentle, low-impact way to develop your saving habits.

After learning to save money, make it work for you.

Congratulations! After 52 weeks, you now own a brand new Fender Stratocaster. Unbeknownst to you, this challenge has also helped you develop a valuable skill: the art of saving. Since you’ve gotten into the habit of setting aside money, consider purchasing a larger piggy bank. You can save a portion of your salary each month, not for a specific goal, but simply to build an emergency fund for any unexpected expenses.

However, it’s important to remember that saving faces a hidden threat: inflation, which gradually erodes the purchasing power of your money over time.

To protect yourself against inflation, it’s important to ensure that your money works for you, maintaining your purchasing power over time. For example, if a cup of coffee at a café cost €1 ten years ago, it now averages around €1.20. This means that purchasing power has decreased, as coffee prices have risen by 20%. In other words, inflation has reduced the value of that €1 coin by 20%. How can you beat this challenge? If you’re interested in learning more about it, Young Platform offers a wealth of content on the topic, including an article explaining how to shield yourself from inflation using Bitcoin. Remember, “If you don’t take care of the economy, the economy will take care of you.” So, don’t hesitate—subscribe below to stay informed!

Casino: The house always wins; investing your money instead of gambling is better.

casino

It is often said that “the house always wins.” The house does not always win but it wins more often than the players. What are the odds of winning at the casino, and why is it better to invest?

What is the expected value of playing casino games, and how is this concept measured in investments? Besides the inherent probabilistic laws that govern them, what commonalities exist between these two activities?

The house always often wins.

Interestingly, both casino games—colorful and vibrant—and what some might consider the duller financial assets can be statistically analysed and compared. Each has an expected value, but how is this calculated, and for which asset is it higher?

It’s often said that “the house always wins.” This popular saying underscores the undeniable advantage of gambling establishments (or the state) and effectively illustrates the underlying reality.

The fundamental statistical concept related to this is expected value. This concept is also prevalent in the investment world, where it is referred to as expected return. It is an essential tool for investors seeking to evaluate the potential outcomes of their decisions.

What is the expected value?

Before we delve into the formal definition, let’s consider a practical example to understand the concept better. Imagine we’re in a casino playing Craps, a game in which players bet on the outcome of a roll of six-sided dice. What is the probability of rolling a two?

The answer to this question is ⅙, as there are six faces on a die, and the probability of rolling each number is the same. To find the expected value, we sum the possible outcomes (the numbers on the die) and multiply each by the probability of that outcome occurring, which, as we mentioned, is ⅙.

Here is the calculation to be performed: 

(1*⅙) + (2*⅙) + (3*⅙) + (4*⅙) + (5*⅙) + (6*⅙) = 3.5

The next time you see a die rolled in a casino, you’ll understand that the expected value is 3.5. This means that if you roll a six-sided die many times, the average result will be 3.5. Now, let’s focus on a more formal definition.

“In probability theory, the expected value (also called mean or mathematical expectation) of a random variableX is a number denoted byE(X) formalises the heuristic idea of mean value of a random phenomenon.”

In summary, the expected value of an event is calculated by multiplying each possible outcome by the probability of its occurrence and then adding those products. In simpler terms, it can be understood as the weighted average of all possible outcomes. This definition will be helpful when discussing investments.

The house always wins: why it is not worth playing at the casino

Let’s teleport to a casino. Now that we understand expected value, everything shines a new light on the situation: this value is always negative for players but always positive for the house.

If this point went unnoticed, you may have missed an important detail: We have just scrutinised an industry that generated EUR 131 billion in revenue in Europe alone in 2023.

The explanation is straightforward. Gambling games are structured to give the casino an advantage, known as the house edge. This house edge ensures the casino’s business model remains viable; if the expected value were positive for players, running a casino would mean giving money away to customers over time.

However, not all games are the same. Some, like roulette, have only a slightly negative expected value, while others, such as SuperEnalotto, have such unfavorable odds that winning big is virtually impossible. Let’s look at the expected value of the most popular casino games.

A practical example: the expected value of Roulette

One of the most generous casino games for players is European roulette, which features a single zero. To illustrate this, let’s calculate the odds of a simple bet, such as on red or black, even or odd, or the ranges 1-18 or 19-36. In European roulette, there are 37 possible numbers: 18 red, 18 black, and 1 green zero.

For example, when betting on red:

  • Since there are 18 red numbers, the probability of winning is 18 out of 37 (approximately 48.65%).
  • The probability of losing is 19 out of 37 (approximately 51.35%) because, in addition to the 18 black numbers, there is also the zero, which causes red bets to lose.

The payout for a winning bet on red is 1:1. If you place a bet of 1€, you will receive a total of 2€ if you win, which includes a net profit of 1€. Conversely, if you lose, you forfeit the entire amount wagered.

Therefore, the total expected value will result from the difference between the expected value of the probability of victory (18/37) and defeat (19/37), resulting in a loss of 0.027€ per euro wagered. To simplify matters, we have not given the formula, but you can check it by calculating this difference after applying the same procedure as we did for the dice.

The Expected Value in Financial Investments

Now that you’re familiar with the concept of expected value in casino games, it’s time to discuss investments. Similar probabilistic principles estimate the future performance of financial instruments such as stocks, bonds, indices, and even cryptocurrencies.

First, it’s important to note that changing the reference system alters the approach to probability. We cannot analyse the financial world in a purely objective probabilistic manner, as it does not consist of perfectly symmetrical and well-constructed events (like a coin toss). In this context, probabilities are modeled based on historical data.

The expected value of investments, also known as the expected return, is the weighted average of the possible returns on an investment, factoring in the probability of each potential outcome. This definition closely resembles the one used in the context of casino games.

This article will explore the concept of expected value in finance using one of the longest-running stock indices: the S&P 500. The S&P 500 is one of the most significant stock indices globally, tracking the performance of the 500 most prominent and capitalised companies in the United States. With a historical data record spanning nearly a century, it is a reliable tool for estimating long-term stock returns. Historically, the S&P 500 has provided a positive average annual return.

The expected one is currently about +10%, considering historical data from 1928 to today, including reinvested dividends, over long periods. It would be interesting to do the same with Bitcoin, but unfortunately, fifteen years of history is minimal to evaluate a financial phenomenon from a statistical point of view. To date, the expected return would be 85%, analysing its performance from 2011 to the present.

Buy Bitcoin!

Why investing is not like gambling: conclusions

While both investing and gambling involve risking capital to make a profit, the key difference lies in the nature and sign of the expected value.

In gambling, the expected value is negative for the player. The system is effectively closed and operates as a negative-sum game: the house always keeps a portion of the bets as its margin. No matter how long a person plays or their betting strategies, the expected value remains unchanged. Systems like the Martingale can alter the short-term distribution of winnings but do not affect the predicted value in the long run.

In the long run, players tend to lose, on average, a percentage that reflects the house’s advantage. The saying “the house always wins” is not just a cliché; it is a mathematically proven reality due to the structure of casino games.

In contrast, financial investments, particularly in the stock market, typically offer investors a positive expected value. This is because the economy continuously generates new wealth: Companies grow, produce profits, and innovate, contributing to a long-term increase in value. Investors can participate in overall economic growth by investing in a diversified market index.

While there is always the risk of choosing the wrong investment or facing short-term downturns, these risks can be managed through diversification, setting long-term goals, and maintaining discipline. This level of strategic planning is impossible in gambling, where each bet is independent and inherently disadvantageous.

Volatility and expected value: the relationship

The final point to consider when comparing casino games with the world of investments is volatility, particularly in contrast to the certainty of incurring losses. In casino games, including scratch cards and Superenalotto, the long-term outcome is predictable—players can expect to lose a fixed percentage of their total wagers. As wagering increases, the volatility typically decreases relative to the volume played.

In investments, however, volatility does not diminish over more extended periods. It can lead to more significant uncertainty regarding outcomes in the medium term. Nevertheless, the likelihood of achieving a positive return increases over time because the expected value of investments is positive.

Holding a stock for just one day is akin to flipping a coin—it usually results in a 50% chance of a positive day and a 50% chance of a negative one. However, if you hold a stock for a year, there’s a good chance of achieving a positive return, although it’s not guaranteed. On the other hand, holding stocks for 10 or 20 years has historically always ensured a significant return.

In contrast, if you play roulette repeatedly for 10 or 20 years, you will likely have a negative net result that approaches the theoretical expected value unless you experience extraordinary and unrepeatable events.

In conclusion, wise investing is statistically successful over the long term, while gambling is guaranteed to lead to losses. Investment creates wealth within the economic system, whereas gambling merely redistributes value and often diminishes it, with a portion of the losses going to the banks. It’s important to note that investing involves risks; however, investors are rewarded with a premium for the risks they take. In contrast, gambling typically results in further disadvantages without any expected rewards.

Investing is simple but not easy: 5 paradoxes of personal finance and the crypto world

5 paradoxes of personal finance

Laziness is a virtue in the investment world! Discover five other paradoxical and counterintuitive (but true) assumptions from the world of personal finance.

What are the central paradoxes of personal finance? Our blog primarily focuses on cryptocurrencies but occasionally explores other areas of the vast investment landscape.

Recently, we came across an intriguing article by Dedalo Invest. The author, Andrea Gonzali, outlines personal finance’s 10 contradictions (or paradoxes). We decided to revisit this article because many of its points resonate strongly with the crypto world.

The investment world can often be counterintuitive. 

While the primary goal of those exploring the markets is logical—maximising returns and minimising losses—many investor actions can seem irrational, especially without the benefit of hindsight. In summary, the objective is clear, intuitive, and rational, but its methods can be complex.

There isn’t a single reason for this complexity. Historically, humans have developed intuition for two key purposes: to ensure the survival of our species and to perpetuate it through procreation. This focus does not include increasing financial capital. To quote the original article’s author, “The fundamentals are intuitive: save regularly, invest wisely, diversify your portfolio, and maintain it over the long term. It is the management of money that is complex.

Laziness is a virtue.

Let us start with perhaps the most paradoxical statement: laziness often maximises performance, while hyperactivity tends to hinder it. Of course, this observation is not meant to generalise; exceptions certainly exist, such as the highly active meme coin trader who is our friend’s cousin. However, when analysing broader investment and personal finance trends, many of society’s beliefs about the value of hard work and commitment are challenged.

It is essential to clarify that in this context, laziness refers specifically to the operational side of investing, such as the frequency of buying and selling or rebalancing, rather than the time spent studying concepts or theories. This idea also applies to the world of cryptocurrency. The more trades one makes in a particular timeframe, the greater the risk of making mistakes that can lead to significant losses, especially when dealing with certain types of cryptocurrencies.

In traditional finance, so-called “lazy portfolios”—portfolios that simply diversify among a few asset classes using financial instruments that require minimal intervention—have historically outperformed many more complex, actively managed strategies. The same can be said for portfolios predominantly composed of Bitcoin and a few altcoins, even over shorter investment horizons.

Several reasons account for this phenomenon. First and foremost, every trade made on a brokerage platform or a crypto exchange incurs costs and increases the likelihood of making errors. Due to the unpredictable nature of the markets, even professional investors do not try to time the market effectively—that is, they do not attempt to sell assets at their peak value or buy them at their lowest point. Finally, it’s important to note that any capital gains realised from trading are subject to taxation.

You have to follow your intuition

Intuition is crucial for our safety, alerting us to danger before it becomes apparent. However, relying on intuition can be risky when it comes to investments. While humans have only recently begun investing their money, our intuition and the cognitive biases linked to it have developed over hundreds of thousands of years. In simpler terms, our intuition evolved to protect us from threats like wild animals or poisonous plants, not to navigate the complexities of the post-Trump trade market crash.

These cognitive biases are mental shortcuts that shape our beliefs and influence quick decision-making, significantly affecting our investment choices:

1. Anchoring: We assign excessive and irrational value to specific price points. A notable example is the $100,000 threshold for Bitcoin, where many investors made mistakes during the 2021 bull market because they believed BTC would reach this level.

2. Overconfidence Bias occurs when we overestimate our knowledge, decision-making abilities, or predictions’ accuracy.

3. Confirmation Bias: This bias leads us to selectively seek information supporting our existing opinions while ignoring data that contradicts them.

For this reason, rigid investment approaches characterised by clear, unbreakable rules—such as a recurring and buy-and-hold strategy—tend to yield better results than those based on an investor’s instincts or subjective perceptions.

Sales do not attract buyers.

In finance, especially in cryptocurrency, a price decline often drives buyers away, contrary to what typically occurs in other markets. For instance, if we are interested in a pair of shoes and their price drops by 50%, we will likely welcome this reduction and make a purchase. This creates a paradox where, in the markets, the opposite behavior is observed. The well-known meme illustrating a long line of buyers when Bitcoin’s price is $100,000 and an empty line when it falls to $6,000 effectively captures this reality.

The herd effect can explain the concept: when everyone is selling, our instinct prompts us to follow suit, even though we know rationally that it might be the best time to buy. Discounts can be intimidating in the markets because falling prices are typically linked to negative news or behaviors, altering the perception of investors anticipating further declines.

Investing near the highs is the norm, not the exception.

Let’s shift our focus from the crypto sector to traditional financial markets, particularly the stock market. This shift isn’t because the concepts we’re discussing are exclusive to traditional markets but because crypto assets are relatively young compared to stock indices. As a result, we have insufficient historical data to support our thesis fully.

Those entering the investment world for the first time often fear buying at market peaks or feel they are entering too late. However, this concern is unfounded mainly when we examine the history of the S&P 500, the leading stock index that tracks the performance of the 500 largest companies in the United States and, in many ways, reflects general market trends. 

The S&P 500’s chart, which begins in 1957, shows that it spends a significant amount of time near its all-time highs. Between 1957 and March 2025, the index recorded 1,242 new highs. Typically, these all-time highs are separated by very short periods, although there have been a few notable exceptions, such as the seven-year gaps between 2000 and 2007 and between 1973 and 1980. 

In summary, reaching new all-time highs in traditional finance is not an extraordinary event but the norm.

The notion that investing during a bearish market is easier is often misleading. When markets collapse, fear and uncertainty prevail, making investing paradoxically more challenging, even when prices are significantly lower.

What about the world of cryptocurrency? Currently, Bitcoin cannot be compared to the S&P 500 due to the 50-year history that separates them. This difference contributes to Bitcoin’s value being more cyclical and subject to volatility. However, Bitcoin has recently reduced the time between reaching all-time highs, likely due to increased interest from institutional investors. Over time, although we cannot be sure, Bitcoin’s price movements will probably start to resemble those of traditional assets, with gold being a prime example, as both share the characteristic of scarcity.

Investing near the highs is the norm, not the exception

We arrive at the fifth and final point, aptly summarised by Daedalus Invest, in the following paradox:

  • It is essential to start investing as early as possible to benefit from compound interest
  • However, you cannot act blindly; you must fully understand what you are doing and educate yourself before you begin investing.

The first statement is straightforward if you know how compound interest works. It refers to the percentage return you earn on an amount that includes previously accumulated interest—essentially, it’s interest on interest. Nevertheless, jumping in without a solid foundation of knowledge can lead to mistakes that may be costly and disheartening, prompting individuals to step away from investing altogether.

So, how can you overcome this challenge? Start by exploring the wealth of resources available on our Academy and Blog!

Crowdfunding in crypto: all the advantages and how to do it

Crowdfunding in crypto

How does crowdfunding operate in the cryptocurrency sector? It is an innovative approach to raising capital.

Cryptocurrency crowdfunding is a new, direct, immediate, simple and participative way to raise capital. This approach has gained popularity because it allows companies and individuals to quickly access funding or invest in rapidly growing startups.

Businesses seeking financial support and individuals wanting to fund their projects can use cryptocurrency crowdfunding platforms. These platforms enable them to reach a broad base of potential investors without depending on traditional banking channels or venture capital. In this article, we will explore crypto crowdfunding and how it works.

What it is and how it works

Crypto crowdfunding is a fundraising method that utilises cryptocurrencies instead of traditional fiat currency as the primary source of capital. Unlike conventional fundraising, this process often occurs without intermediaries or third parties, enabling investors to access opportunities directly.

This approach significantly speeds up the fundraising process and improves security and transparency. Today, startups can leverage blockchain technology and smart contracts to raise capital quickly and efficiently, bypassing the cumbersome procedures that were common before the digital age.

The advantages of crowdfunding in crypto

Cryptocurrency crowdfunding offers several advantages over traditional funding methods. First, it is generally more efficient, faster, and flexible, providing a reliable infrastructure. This efficiency is crucial for both companies seeking funding and investors.

Companies benefit from the security provided by smart contracts, which leverage the transparency of blockchain technology to manage fundraising effectively. The blockchain permanently records all transactions and details related to fundraising, ensuring complete transparency. This allows investors to monitor how their funds are used in real-time.

Additionally, cryptocurrency crowdfunding provides global access to investors, eliminating the geographical barriers often found in traditional funding. Like conventional crowdfunding, investors are encouraged and supported in evaluating the organisations or projects they wish to fund, but they have access to more independent information for their research.

The main types

There are various types of crowdfunding in the crypto space, with the most well-known—though often misused—being Initial Coin Offerings (ICOs). This fundraising method can be safe and beneficial; a prime example is the ICO of Ethereum, which allowed the project’s first supporters, led by Vitalik Buterin, to invest early on. However, when successful ideas emerge, they tend to be exploited by many, including those with questionable intentions who are simply looking to profit.

Only two parties typically participate in Initial Coin Offerings (ICOs): the company and the investors. Initially, the start-up launching the fundraising event presents its project to potential investors through a whitepaper summarising the business plan. Additionally, the presence of a token is crucial, and it must have a specific function. For example, the token may grant investors access to certain services related to the product or provide them with a share of the company’s future dividends.

Following the rise and decline of Initial Coin Offerings (ICOs), new forms of crowdfunding in the cryptocurrency space emerged, including Initial Exchange Offerings (IEOs). IEOs signify a notable advancement in crypto crowdfunding, as cryptocurrency exchange platforms directly handle them. Unlike independent ICOs, IEOs involve an exchange that oversees the crowdfunding process.

The main advantages of Initial Exchange Offerings (IEOs) include:

1. Increased Security: IEOs are conducted on regulated exchange platforms, providing investors greater trust and security than Initial Coin Offerings (ICOs), often linked to fraud and scams.

2. Access to Markets: IEOs provide startups with a direct channel to investors through the exchange platform, enabling them to access a large user base without establishing their investor network.

3. Simplified Procedures: IEOs streamline the participation process, allowing investors to use funds directly from their accounts on the exchange platform. This eliminates creating a separate digital wallet or navigating complex procedures.

4. Technical Support: Exchange platforms hosting IEOs typically offer technical support and assistance to investors and startups, reducing the risk of errors when purchasing cryptocurrencies.

5. Regulation: Since IEOs are hosted on regulated platforms, rules and procedures are established to prevent illegal activities and fraudulent behaviour and ensure compliance with national and international laws.

Initial Exchange Offerings (IEOs) provide a secure and convenient way for start-ups to raise funds through cryptocurrencies and for investors to participate in these projects. Thanks to blockchain technology, IEOs enable quick and transparent transactions.

To learn more about how our B2B services can support your company’s growth through this type of fundraising and other blockchain and cryptocurrency-related services, please visit our B2B services page or contact us at [email protected].

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ETFs on Solana. When (and if) they are approved.

etf solana

The Solana ETFs have not yet been approved. Some expected them to arrive on 25 January, as the first SEC deadline loomed for the proposed approvals of the VanEck, 21Shares, Canary, and Bitwise ETFs.

What do the experts foresee concerning recent events related to the new US president? What impact could a future approval have on Solana’s price? Find out in this article.

Buy Solana

What is missing for ETFs on Solana?

According to some crypto analysts, the SEC could have approved the Solana ETFs on January 25, as the first deadlines for the proposals from VanEck, 21Shares, Canary, and Bitwise were approaching. However, similar to the situation with Bitcoin and Ethereum ETFs, the Solana ETFs were not approved by the initial deadline. As a result, we will have to wait at least until March 11, the date for the second deadline.

Optimists point out that the SEC’s chairman is no longer Gary Gensler, who has been a long-time critic of the industry. This reflects much of the prevailing sentiment within the US Democratic political landscape. Mark Uyeda, a pro-crypto Republican, has taken office. The political landscape includes Republicans and Donald Trump, who recently launched a meme coin related to Solana’s blockchain.

In summary, the future of Solana ETFs remains uncertain. According to Polymarket, the leading prediction market in the crypto world, there is a high probability (89%) that approval will occur by the end of 2025, although the timeline may still be unpredictable. With Donald Trump back in government, the volatility in the market seems to have increased, making it clear that anything could happen at any time.

A good time for Solana

Solana is performing well, regardless of whether its ETFs are approved in March or face further delays. A significant factor in this success is that the US president selected it as the infrastructure for launching his official meme coin.

Let’s focus on some concrete figures. The total value locked (TVL) on the network has reached a new all-time high of $12 billion, surpassing the previous record of $10 billion set in 2022. Trading volumes are also at their highest: according to DefiLlama, Solana’s blockchain processed over $200 billion in transactions in January alone.

Lastly, it’s important not to overlook the impressive revenues, which, as expected given the results mentioned, reached almost USD 100 million in January alone.

The recent price movements of Solana (SOL)

What has been described so far is also reflected in the price trend of Solana, one of the few altcoins that has risen in recent days. Following a low of $185 on January 13, the cryptocurrency experienced a strong rebound, recording four consecutive days of upward movement, ultimately reaching $220 on January 18.

Check out Solana’s graph!

However, something unexpected happened shortly after: Donald Trump launched his official meme coin. At that moment, many cryptocurrency enthusiasts began to realize that, at least at this stage of the market, Solana is outperforming all other Layer 1 protocols in the race towards mass adoption. From the $220 level reached on January 18, SOL surged to a new all-time high of $295 in less than 48 hours.

The subsequent physiological retracement settled around the $230 mark and appears to have already run its course. SOL is now heading back towards $270. So, where could it go in this bull market?

Quarterly reports: the calendar of the leading listed companies

NVIDIA's quarterly data

Discover the quarterly data calendar for NVIDIA and the most important companies on the stock market.

The calendar of quarterly data for NVIDIA and the most important companies on the stock market is an essential tool for keeping up with the markets. Every three months, NVIDIA and all listed companies are required to publish their quarterly reports. These reports contain the company’s financial results for the last quarter, including revenue, profits, expenses, future forecasts and much more.

Find out why they are essential, how they influence investor decisions, and see the complete, up-to-date calendar in this article.

Quarterly reports: why do companies like NVIDIA have to publish them?

Before delving into the quarterly report calendar for NVIDIA and other major companies on the stock market, it is helpful to understand some of the characteristics of these reports. First of all, it should be noted that publishing these documents is a regulatory requirement intended to ensure an acceptable level of transparency in the markets. 

The publication of quarterly reports allows investors to assess a company’s performance, determine whether it is growing and able to make a profit, and decide whether to buy or sell its shares.

Quarterly reports are not only an indication of a company’s financial health, but also a tool for comparing it with its competitors. For example, NVIDIA’s results can be used to compare the company with others in the technology sector. In 2025, for example, NVIDIA’s share price rose by around 32%, bringing the company’s market capitalisation to £4.38 trillion. 

Does the share price represent NVIDIA’s real value? Is the market cap still justified? At least in part, the answers to these questions can be found by analysing the quarterly reports.

How they influence the markets

NVIDIA’s quarterly reports, like those of many other listed companies, have a significant impact on the markets. However, the effect they have is never predictable and requires experience and in-depth understanding to be interpreted correctly.

Intuitively, when a company’s results are positive, its share price will rise. In reality, the market’s reaction to this data is not so straightforward.

The truth is that there is no precise formula for predicting how the market will react to quarterly data. Multiple factors can influence reactions. Investor expectations are crucial: if a company’s results are in line with analysts’ forecasts, or better still, exceed them, the stock will tend to rise. However, if the results are positive but fail to exceed expectations, the stock may fall.

Another determining factor is the macroeconomic environment. Markets are currently experiencing uncertainty and weakness due to Donald Trump’s unpredictable behaviour, which prevents investors from having a clear view of the near future, and the ongoing geopolitical chaos caused by wars.

In this volatile situation, even positive quarterly results may not receive the attention they deserve. For example, suppose the Federal Reserve raises or keeps interest rates unchanged at the next Federal Open Market Committee (FOMC) meeting. In that case, even excellent quarterly results may not have a positive impact. In short, restrictive monetary policies trigger capital flight from the stock market to less risky alternatives, such as bonds and government securities. 

Finally, we cannot fail to mention other aspects that play a central role. The company’s size, sector, market share, and reputation are all factors that can affect market perceptions and reactions to quarterly results. 

NVIDIA quarterly results: record profits for Q3

On Wednesday, 19 November, at around 10 p.m., NVIDIA CEO Jensen Huang announced the company’s third-quarter earnings to the world: $57 billion, just over $2 billion higher than the $54.89 billion forecast.

Immediately after the news, NVIDIA shares rose by up to 5.25%. This is a record result, as the microchip giant’s earnings are up 22% on a quarter-on-quarter (QoQ) basis and 62% on the same quarter last year (YoY).

This performance has also cooled fears about the AI bubble, which had been unsettling the major financial players for a couple of weeks: fears of a bubble in the artificial intelligence sector, ‘made official’ by Michael Burry’s bet against Palantir and Nvidia itself, had caused the leading stocks in the S&P500 and Nasdaq 100 to lose more than 10% from their highs at the end of October.

In fact, a 22% higher profit than three months ago would tend to justify the value of Nvidia’s shares in the first place and, by extension, the remaining six of the ‘Magnificent 7’ group – Alphabet, Amazon, Apple, Meta Platforms, Microsoft and Tesla.

During the earnings call, Huang stated that ‘Blackwell sales are skyrocketing and cloud GPUs are sold out. Demand for computing power continues to grow exponentially. He concluded by saying that ‘the AI ecosystem is growing rapidly’ and that ‘AI is coming everywhere, doing everything, at the same time‘. These words clearly dispel fears of a crash in the sector – at least temporarily.

Calendar and history 

Thursday, 4 September 2025

  • Broadcom – Market Cap: £1.65 trillion | Earnings: £15.95 billion (against £15.82 billion forecast)

Tuesday, 9 September 2025

  • Oracle – Market Cap: £830.46 billion | Earnings: £14.93 billion (against £15.03 billion forecast)

Thursday, 25 September 2025

  • Costco – Market Cap: $414.96 billion | Earnings: $86.16 billion (vs. $86.08 billion expected)

Tuesday, 30 September 2025

  • Nike – Market Cap: $99.59 billion | Earnings: $11.72 billion (compared to $10.79 billion expected)

Tuesday, 14 October

  • JPMorgan – Market Cap: $810.02 billion | Earnings: $46.43 billion (vs. $45.25 billion expected)
  • Wells Fargo – Market Cap: $262.24 billion | Earnings: $21.43 billion (vs. $21.14 billion expected)
  • Goldman Sachs – Market Cap: $237.63 billion | Earnings: $15.18 billion (compared to $14.13 billion expected)
  • BlackRock – Market Cap: $180.1 billion | Earnings: $6.51 billion (compared to $6.29 billion expected)

Wednesday, 15 October 2025

  • Bank of America – Market Cap: $375.85 billion | Earnings: $28.09 billion (compared to $27.48 billion expected)
  • Morgan Stanley – Market Cap: $252.44 billion | Earnings: $18.22 billion (compared to $16.66 billion expected)

Friday, 17 October 2025

  • American Express – Market Cap: $238.77 billion | Earnings: $18.43 billion (compared to $18.05 billion expected)

Tuesday, 21 October 2025

  • Netflix – Market Cap: $477.45 billion | Earnings: $11.51 billion (against $11.51 expected)
  • Coca Cola – Market Cap: $304.62 billion | Earnings: $12.5 billion (vs. $12.41 billion expected)

Wednesday, 22 October 2025

  • Tesla – Market Cap: $1.46 trillion | Earnings: $28.1 billion (vs. $26.22 billion expected)
  • IBM – Market Cap: $267.82 billion | Earnings: $16.33 billion (compared to $16.09 billion expected)

Tuesday, 28 October 2025

  • Visa – Market Cap: $662.08 billion | Earnings: $10.7 billion (vs. $10.61 billion expected)
  • UnitedHealth – Market Cap: $312.23 billion | Earnings: $113.2 billion (compared to $113.04 billion expected)

Wednesday, 29 October 2025

  • Microsoft – Market Cap: $3.91 trillion | Earnings: $77.7 billion (compared to $75.32 billion expected)
  • Alphabet – Market Cap: $3.4 trillion | Earnings: $105.35 billion (compared to $99.79 billion expected)
  • Meta Platforms – Market Cap: $1.67 trillion | Earnings: $51.24 billion (compared to $49.36 billion expected)

Thursday, 30 October 2025

  • Apple – Market Cap: $4.03 trillion | Earnings: $102.5 billion (compared to $101.69 billion expected)
  • Amazon – Market Cap: $2.38 trillion | Earnings: $180.2 billion (compared to $177.75 billion expected)
  • Mastercard – Market Cap: $498.17 billion | Earnings: $8.6 billion (compared to $8.54 billion expected)

Saturday, 1 November 2025

  • Berkshire Hathaway – Market Cap: $1.08 trillion | Earnings: $94.97 billion (compared to $95.65 billion forecast)

Tuesday, 5 November 2025

  • McDonald’s – Market Cap: $215.6 billion | Earnings: $7.08 billion (against $7.1 billion expected)

Wednesday, 19 November 2025

  • NVIDIA – Market Cap: $4.53 trillion | Earnings: $57 billion (compared to $54.89 billion expected)