Article
Culture
Economics
Ethics
6 min read

The rights and wrongs of making money with meme coins

When does investing become speculating, or even addictive gambling?
A montage shows Trump with a raised fist against other images of him and the phrase 'fight fight fight'.
$Trump coin marketing image.
gettrumpmemes.com,

Donald Trump’s “liberation day” tariffs may have driven sharp swings in global financial markets, but his actions in markets a few months earlier were in some ways even more peculiar.

On the Friday before his inauguration as the 47th US President in January, the Republican surprised many with the launch of the $TRUMP memecoin, described by its website as “the only official Trump meme”. The cryptocurrency token, in which Trump’s family business owned a stake, initially soared in value to more than $14bn over that following weekend. 

Then, on the Sunday, Trump’s wife Melania launched her own memecoin, $MELANIA, which reached a value of $8.5bn. Even the pastor who spoke at the president’s inauguration subsequently launched his own memecoin. 

For those wondering what exactly a memecoin is, you are not alone. In short, they are a form of cryptocurrency - an asset class that itself has attracted plenty of questions about its substance and purpose - representing online viral moments. They have no fundamental value or business model and, according to the US securities regulator, “typically have limited or no use or functionality”. 

Donald and Melania Trump’s coins subsequently plunged in price, but still have a value of around $2.5bn and $214mn respectively, according to website CoinMarketCap. 

There are plenty of others in existence. PEPE, based on a comic frog, has a value of around $3.6bn; BONK, a cartoon dog, has a market cap of $1.5bn; and PNUT, a reference to a squirrel euthanised by authorities in New York and about which Trump was allegedly “fired up” (although doubt has since been cast on the president’s involvement in the matter), is still valued at around $174mn, despite having fallen sharply in price.  

Dogecoin, seen as the world’s first memecoin and originally created as a joke, boasts a market value of around $25bn. (There are other memecoins which may not be suitable for these pages). 

Some people’s willingness to buy an “asset” with no use or fundamental value may seem strange to more traditional investors. But it can be viewed as just one manifestation of the speculative investor behaviour evident since the onset of the coronavirus pandemic and, indeed, at times throughout history. 

The price of Bitcoin recently rose above $100,000, despite many investors still viewing it as having little or no value (in 2023 the UK’s Treasury select committee described cryptocurrencies as having “no intrinsic value, huge price volatility and no discernible social good”). In early 2021, shares in GameStop - a loss-making US video games retailer that some hedge funds were betting against - rocketed as much as 2,400 per cent, as retail investors piled in, many with the aim of inflicting pain on the hedge fund short sellers (in that respect at least, a highly successful strategy that became the subject of the film Dumb Money). The huge rise in AI and other tech stocks in recent years - until the recent tariff-driven volatility - has also been described as a bubble by some commentators. 

Whether or not such episodes can be compared to infamous bouts of speculative mania in history depends on your point of view (and often can only be judged with the benefit of hindsight) - be it the 17th century Dutch tulip bulb mania, shares in the South Sea Company in the 18th century or the dotcom boom and bust of the late 1990s and early 2000s. 

But it does give rise to the question of when investment should start to be described as speculation or even as gambling? And what are the rights and wrongs of any of those activities? 

There can be negative effects, for instance if the actions of speculators force businesses in the real economy to change their plans or divert time and resources... 

Gambling can be thought of as risking a stake on, for instance, the result of a game of chance or sport in the hope of a bigger payout. While often the result is purely down to chance, in some cases a strategy or an element of research (for instance of a horse or football team’s form) can be used. Investment, in contrast, tends to involve purported economic utility and assets believed to have some sort of underlying value, and holds the hope of future profit (although there are also plenty of bad investments or those that have gone to zero). While an investor must be prepared to lose their entire stake, in some cases such an event is relatively unlikely (for instance, if they buy a fund tracking the performance of a major stock exchange). Speculation is harder to define, but is generally seen as shorter term than investment, with more chance of a bigger gain or loss, and dependent on price fluctuations. Rightly or wrongly, the term has a more negative connotation than investment. 

One writer who explored the ethics of these activities was Oswald von Nell-Breuning, a Jesuit theologian and economist who served as an adviser to the Pope and who was banned from publishing under the Nazis. 

While he found that “one general definition cannot capture all the nuances” of speculation, he identified two different types of speculative activity - one that was purely trying to make a profit from financial market trading, and one based on trying to create a viable business. (See this article in the Catholic Social Science Review for a fuller explanation of Nell-Breuning’s views on speculation). 

As the CSSR article shows, Nell-Breuning found that there can be positive effects from speculation - one might think of better liquidity and price discovery in a market, while, in commodity futures markets, speculators allow producers to hedge risk

But he also argued that there can be negative effects, for instance if the actions of speculators force businesses in the real economy to change their plans or divert time and resources away from production. 

And whereas gambling typically takes place within a circle of players who have chosen to take part, speculation, he wrote, can affect a greater portion of society - for instance, if it affects the price of shares or bonds they hold. 

The Bible - on which Nell-Breuning’s faith and analysis was based - does not take a prescriptive approach to such activities. But it does provide some interesting guidance.  

An entrepreneurial approach to business and investment is applauded, for instance when the writer of the book of Proverbs (traditionally believed to be King Solomon) praises the virtues of “an excellent wife”. These include investing in a field and using her earnings from business to plant a vineyard, and feeding her family from her gains. 

Jesus tells a story of a master who, before going on a journey, gives his property to his servants, each according to their ability. To one he gives five “talents” (a large unit of money), to a second two and to a third servant he gives one. 

The first servant trades with his talents and makes five more talents - a 100 per cent profit - and is applauded by the master on his return. The second servant also trades and similarly makes two more talents and is again applauded. 

But the third servant, being afraid and believing the master to be “a hard man”, hides the money in a hole in the ground. He is condemned as “wicked and slothful”, and told that he should at least have put the money in the bank. 

While Jesus’s story may primarily be about how we view God’s nature, how we use our God-given abilities and whether or not we can take risks in faith for Him, it is also hard not to see investment and indeed wise speculation as being virtuous activities here. Putting the money into a bank account is, in this story anyway, more of a fallback option. 

But the Bible also warns us against putting money above all else in our lives. The love of money is, famously, a root of all sorts of evil, while we are also told to be content with what we have, and that “wealth gained hastily will dwindle”. 

Nell-Breuning similarly warns that a “get-rich-quick” mindset, when this is placed above all else, can be harmful, and advises caution in situations where the lure of big profits can lead the speculator into market manipulation or fraud. 

After all, both gambling and crypto trading have the potential to become dangerous and damaging addictions needing treatment

Ultimately, Nell-Breuning struggled to come to a simple conclusion on the question of whether speculation, in and of itself, is morally wrong. It is, he wrote, a judgment call for those involved. 

When making such decisions ourselves, his - and the Bible’s - warnings may be worth bearing in mind. 

Article
AI - Artificial Intelligence
Attention
Culture
5 min read

Will AI’s attentions amplify or suffocate us?

Keeping attention on the right things has always been a problem.

Mark is a research mathematician who writes on ethics, human identity and the nature of intelligence.

A cute-looking robot with big eyes stares up at the viewer.
Robots - always cuter than AI.
Alex Knight on Unsplash.

Taking inspiration from human attention has made AI vastly more powerful. Can this focus our minds on why attention really matters? 

Artificial intelligence has been developing at a dizzying rate. Chatbots like ChatGPT and Copilot can automate everyday tasks and can effortlessly summarise information. Photorealistic images and videos can be generated from a couple of words and medical AI promises to revolutionise both drug discovery and healthcare. The technology (or at least the hype around it) gives an impression of boundless acceleration. 

So far, 2025 has been the year AI has become a real big-ticket political item. The new Trump administration has promised half a trillion dollars for AI infrastructure and UK prime minister Keir Starmer plans to ‘turbocharge’ AI in the UK. Predictions of our future with this new technology range from doom-laden apocalypse to techno-utopian superabundance. The only certainty is that it will lead to dramatic personal and social change. 

This technological impact feels even more dramatic given the relative simplicity of its components. Huge volumes of text, image and videos are converted into vast arrays of numbers. These grids are then pushed through repeated processes of addition, multiplication and comparison. As more data is fed into this process, the numbers (or weights) in the system are updated and the AI ‘learns’ from the data. With enough data, meaningful relationships between words are internalised and the model becomes capable of generating useful answers to questions. 

So why have these algorithms become so much more powerful over the past few years? One major driver has been to take inspiration from human attention. An ‘attention mechanism’ allows very distant parts of texts or images to be associated together. This means that when processing a passage of conversation in a novel, the system is able to take cues on the mood of the characters from earlier in the chapter. This ability to attend to the broader context of the text has allowed the success of the current wave of ‘large language models’ or ‘generative AI’. In fact, these models with the technical name ‘Transformer’ were developed by removing other features and concentrating only on the attention mechanisms. This was first published in the memorably named ‘Attention is All You Need’ paper written by scientists working at Google in 2017. 

If you’re wondering whether this machine replication of human attention has much to do with the real thing, you might be right to be sceptical. That said, this attention-imitating technology has profound effects on how we attend to the world. On the one hand, it has shown the ability to focus and amplify our attention, but on the other, to distract and suffocate it. 

Attention is a moral act, directed towards care for others.

A radiologist acts with professional care for her patients. Armed with a lifetime of knowledge and expertise, she diligently checks scans for evidence of malignant tumours. Using new AI tools can amplify her expertise and attention. These can automatically detect suspicious patterns in the image including very fine detail that a human eye could miss. These additional pairs of eyes can free her professional attention to other aspects of the scan or other aspects of the job. 

Meanwhile, a government acts with obligations to keep its spending down. It decides to automate welfare claim handling using a “state of the art” AI system. The system flags more claimants as being overpaid than the human employees used to. The politicians and senior bureaucrats congratulate themselves on the system’s efficiency and they resolve to extend it to other types of payments. Meanwhile, hundreds of thousands are being forced to pay non-existent debts. With echoes of the British Post Office Horizon Scandal, the 2017-2020 the Australian Robo-debt scandal was due to flaws in the algorithm used to calculate the debts. To have a properly functioning welfare safety net, there needs to be public scrutiny, and a misplaced deference to machines and algorithms suffocated the attention that was needed.   

These examples illustrate the interplay between AI and our attention, but they also show that human attention has a broader meaning than just being the efficient channelling of information. In both cases, attention is a moral act, directed towards care for others. There are many other ways algorithms interact with our attention – how social media is optimised to keep us scrolling, how chatbots are being touted as a solution to loneliness among the elderly, but also how translation apps help break language barriers. 

Algorithms are not the first thing to get in the way of our attention, and keeping our attention on the right things has always been a problem. One of the best stories about attention and noticing other people is Jesus’ parable of the Good Samaritan. A man lies badly beaten on the side of the road after a robbery. Several respectable people walk past without attending to the man. A stranger stops. His people and the injured man’s people are bitter enemies. Despite this, he generously attends to the wounded stranger. He risks the danger of stopping – perhaps the injured man will attack him? He then tends the man’s wounds and uses his money to pay for an indefinite stay in a hotel. 

This is the true model of attention. Risky, loving “noticing” which is action as much as intellect. A model of attention better than even the best neuroscientist or programmer could come up with, one modelled by God himself. In this story, the stranger, the Good Samaritan, is Jesus, and we all sit wounded and in need of attention. 

But not only this, we are born to imitate the Good Samaritan’s attention to others. Just as we can receive God’s love, we can also attend to the needs of others. This mirrors our relationship to artificial intelligence, just as our AI toys are conduits of our attention, we can be conduits of God’s perfect loving attention. This is what our attention is really for, and if we remember this while being prudent about the dangers of technology, then we might succeed in elevating our attention-inspired tools to make AI an amplifier of real attention. 

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