Summary:
If the crypto market spent the past decade searching for the “next Bitcoin,” the next decade may be looking for a more direct answer: who can consistently profit from the growing demand for speculation? In its latest long-form report, The House Always Wins: Why Speculation is the Theme of the Decade, Delphi Digital argues that speculation may be becoming one of the defining themes of the next decade. The reason is not simply that Meme coins, AI, prediction markets, and leveraged trading are becoming more popular. Rather, technological progress and growing pressure on traditional wealth-building paths are simultaneously pushing more capital toward high-risk, high-volatility markets. At the same time, platforms such as Robinhood, Kalshi, Polymarket, and Hyperliquid are showing that the more durable business may not be correctly predicting the next 100x asset, but providing the infrastructure for trading, execution, liquidity, settlement, and user access. For Crypto, this points to an important shift: narratives may constantly rotate and individual assets may go to zero, but as long as demand for speculation remains, the infrastructure that facilitates those trades can continue to capture fees and activity.
As the “Normal” Investment Path Gets Harder, Why Is Speculation Becoming More Common?
Delphi Digital recently published a fascinating research report, The House Always Wins: Why Speculation is the Theme of the Decade.
The title is already remarkably direct: why might speculation become one of the defining themes of the next decade?
What makes the report interesting is not that it has discovered another new Crypto sector. Quite the opposite.
It explores a much deeper question: why are more and more people willing to speculate?
We often think of speculation as a product of market sentiment.
When a bull market arrives, people chase Meme coins.
When AI takes off, capital flows into AI.
When prediction markets become popular, people start betting on elections, sports, and macroeconomic events.
When a particular token suddenly surges, capital starts looking for the next 100x opportunity.
On the surface, every speculative wave appears to have a completely different story.
But Delphi's argument is that these stories may all be driven by the same increasingly powerful demand: people are looking for opportunities to build wealth outside traditional paths through higher-risk assets.
That is also why this wave of speculation may be different from previous cycles.
Historically, speculation has often been driven by two major forces.
The first is infrastructure and investment excitement created by new technology.
Railways, the internet, mobile internet, and now AI have all convinced investors that a new technological revolution was creating the next wave of wealth.
Capital then rushed into the assets associated with that transformation.
The second force appears when traditional paths become increasingly difficult and people begin searching for alternatives.
If accumulating wealth through wages, homeownership, and long-term savings becomes harder, then for some younger people, “waiting for wealth to compound slowly” may look less attractive than “finding one opportunity that could dramatically change the wealth curve.”
This is one option. Meme coins, prediction markets, sports betting, and leveraged trading are increasingly attracting younger participants.
That does not mean every young person is gambling.
It does mean that speculation may be moving from marginal behavior toward a more mainstream form of financial consumption.
AI May Not Only Create Wealth. It May Also Push More People Toward the “Betting Table”
This may be one of the most interesting parts of the Delphi report.
When we talk about AI, we usually think about increasing productivity, reducing costs, creating new industries, and improving corporate profits.
But from another perspective, AI may also be changing how ordinary people think about their own wealth prospects.
On the one hand, AI is creating an enormous capital expenditure cycle.
On the other hand, it may be reshaping the employment and income trajectory of younger workers.
A study updated by the Stanford Digital Economy Lab in August 2026 found that employment among workers aged 22–25 in highly AI-exposed occupations was about 19% below where it would have been had it kept pace with similarly aged workers in less-exposed occupations. The researchers also emphasized that this is a descriptive finding and does not prove in itself that AI caused the entire gap.
What really matters here is not whether AI will make every young person unemployed.
The more important question is: if traditional career paths change, where will younger workers look for opportunities to increase their wealth?
That may be one reason speculative markets are becoming increasingly important.
For someone just entering the workforce, if wage growth is slow, housing and asset prices are already high, and traditional savings are unlikely to rapidly change their financial position, high-volatility assets can become especially attractive.
At least they offer the possibility of changing the outcome quickly.
This is also why Meme coins, options, prediction markets, and Crypto can continue to attract new participants.
Not because everyone believes they can make money consistently, but because they believe they still have a chance.
What May Matter More Than the Next 100x Token Is Who Collects the Fees
This brings us to Delphi's core argument.
Instead of simply buying the chips, why not buy the “casino”?
The idea may sound provocative, but the logic is straightforward.
Suppose large amounts of capital are speculating every day.
Today, people trade AI.
Tomorrow, they trade Meme coins.
The next day, they trade prediction markets.
A few days later, another onchain narrative takes over.
If you correctly identify one winning asset, the upside can obviously be enormous.
But there is one problem: you have to be right.
A trading platform, however, does not necessarily need to know whether BTC will rise or fall next.
You do not need to know whether a particular Meme coin will eventually go up 100x.
As long as people keep trading, the platform can potentially earn fees for that activity.
That is the “House.”
In other words, the casino itself.
The market can therefore be viewed through two broad groups.
The first group consists of people participating in speculation.
They buy BTC, ETH, Meme coins, AI tokens, options, or prediction-market contracts, and they take directional risk.
The second group consists of platforms providing the infrastructure for speculation.
They provide execution, settlement, liquidity, order books, prediction markets, derivatives, asset issuance, and user access.
Their core bet is not that one particular asset will rise.
It is that people will continue trading.
That may be the most important part of the entire thesis.
Robinhood Is Showing That Prediction Markets Are Becoming a Real Business
Robinhood provides one of the clearest examples.
In the second quarter of 2026, Robinhood generated $156 million in event-contract revenue, more than 10 times the amount from a year earlier.
Even more interestingly, that figure was higher than Robinhood's cryptocurrency transaction revenue, which stood at $100 million during the same quarter.
According to Robinhood's official Q2 2026 results, transaction-based revenue reached $776 million, with event contracts becoming a major contributor.
What does this tell us?
At minimum, it shows that users are willing to pay to express views about what might happen in the future.
And this demand is no longer limited to Crypto users.
Sports, politics, economic data, interest rates, weather, and countless other events can potentially become tradable outcomes.
The financial market is therefore undergoing an interesting transformation.
Previously:Asset → Trade
Now:Event → Trade
And increasingly:Anything that can be assigned a probability → Financialized outcome
Why Have Prediction Markets Suddenly Become So Large?
Kalshi and Polymarket are two other platforms worth watching.
According to a Pew Research Center analysis of data from The Block, combined monthly global trading volume on Kalshi and Polymarket more than doubled from approximately $26 billion in May 2026 to $53 billion in July.
There is an important distinction here.
The $53 billion figure refers to contract notional trading volume, not $53 billion of actual cash deposited by users. The figure is therefore better understood as a measure of market activity rather than direct net capital inflows.
Even with that distinction, the trend is difficult to ignore.
And politics is not the only driver.
During the summer of 2026, sports-related contracts became the largest category of prediction-market activity.
This suggests that prediction markets are evolving from a niche political forecasting tool into a broader trading product.
People are no longer simply asking who will win.
They are asking questions such as: who will win, when will it happen, will it happen, and what is the probability that it will happen?
That is remarkably close to one of Crypto's core ideas:
turning uncertainty about the future into a price that can be traded today.
Crypto May Have Been the Ultimate Speculative Infrastructure All Along
If we take this logic one step further, an even more interesting conclusion emerges.
Since its birth, Crypto has offered several characteristics that traditional financial markets have struggled to provide simultaneously.
It operates 24/7.
It is global.
The barrier to entry is relatively low.
New assets can be issued quickly.
Users can participate directly.
Spot and derivatives can be combined within the same ecosystem.
That makes Crypto naturally suited to supporting speculative activity.
In traditional financial markets, a new asset often has to go through issuance, listing, brokers, exchanges, clearing, regulation, and limited trading hours.
In Crypto, a new token can be issued and traded within a very short period of time, potentially gaining global liquidity almost immediately.
That is one reason Meme coins, perpetual futures, onchain options, and prediction markets can develop so quickly.
Crypto does not necessarily need to prove that every token has long-term fundamental value.
It only needs to prove that people are willing to trade.
That is also the deeper redefinition of Crypto presented by Delphi.
One of Crypto's most practical forms of utility may be that it provides a global, always-on, low-barrier infrastructure for speculation.
But the Brutal Data Is This: Most People Are Not the “House”
If speculative markets continue to expand, another question has to be asked:
Who actually makes money?
Pump.fun offers a particularly striking example.
Previous research cited by Delphi using onchain data found that only around 0.4% of wallets trading Pump tokens had realized more than $10,000 in profit.
The message is simple: everyone can participate in speculation, but participation does not mean profitability.
In fact, speculative markets often have a very clear structure:
The more people enter the casino, the easier it can become for the casino to make money.
The casino does not need to predict who will win the next round.
It only needs the next round to happen.
Hyperliquid Shows Another Way to “Buy the Casino”
Hyperliquid is another example of this thesis within Crypto.
What makes it interesting is not simply the HYPE token.
It is the fact that Hyperliquid is becoming a major piece of onchain trading infrastructure.
As of August 23, 2026, Hyperliquid processed more than $5.4 trillion in cumulative perpetual futures trading volume, representing approximately 40.1% of global onchain perpetual volume over 24 hours and 62.5% of onchain perpetual open interest.
More importantly, its business model fits the “casino” framework remarkably well.
Users trade.
The platform generates fees.
The protocol generates revenue.
Part of that economic activity can flow back into HYPE through its value-capture mechanisms.
This creates an interesting chain:
Speculation → Trading Volume → Fees → Platform Revenue → Token Value Capture
That is fundamentally different from simply buying a Meme coin.
The Meme thesis is:
Hope someone else buys it at a higher price.
The trading-platform thesis is:
Hope people keep trading.
That is why Delphi's report highlights platforms such as Robinhood, Hyperliquid, and Lighter as examples of the “House” side of the market.
This Also Explains Why Narratives May Matter Less Over Time
Crypto markets have traditionally obsessed over questions such as:
Who will be the next Ethereum?
Who will be the next Solana?
What is the next AI token?
What is the next Meme coin?
But if Delphi's thesis is correct, the more important questions may change.
Not:
“What is the next 100x asset?”
But:
“Where is the next generation of trading infrastructure?”
Assets will continue to change.
This year it may be AI.
Next year it could be robotics.
The year after that, DePIN.
Then perhaps AI agents.
But regardless of what people trade, they still need exchanges, liquidity, clearing, execution, and user access.
So while assets constantly rotate, the demand for trade may persist.
That is why Delphi argues that instead of focusing only on the “inventory” held by market participants, investors should pay attention to the “House” that can continuously capture a take rate from speculative activity.
KTX Crypto Insight: If Speculation Becomes the Main Theme, Where Does the Value of an Exchange Come From?
For KTX users, this trend is particularly worth watching.
Regardless of whether the market is trading BTC, ETH, Meme coins, AI assets, prediction markets, or something entirely new, the same question eventually appears:
Where does the capital actually trade?
That is one of the biggest differences between a trading platform and a single asset.
The lifecycle of an asset can be extremely short.
A narrative may last only a few days.
A Meme coin may complete its entire lifecycle within hours.
But trading infrastructure can continue to capture market activity across multiple cycles.
Traders can use the KTX BTC/USDT Spot Trading page to view BTC's real-time price, 24-hour change, trading volume, order book, and latest trades.
For more information about KTX products and trading services, visit the KTX official website.
This also extends the question raised in the previous article about BTC correction.
The previous article asked:
“After the sell-off, is there real money staying in the market?”
The next question is:
“Where does that money ultimately trade?”
If speculative demand really becomes a long-term theme of the next decade, trading volume, users, liquidity, and fee generation may matter more than any individual short-term narrative.
FAQ
Why does Delphi Digital believe speculation could become a major theme of the next decade?
The core argument is that two forces are operating simultaneously. On one hand, new technologies are creating new speculative assets and trading opportunities. On the other hand, traditional wealth-building paths are becoming more difficult for some younger people. Together, these forces could support persistent demand for speculation.
What does “buy the casino” mean?
The “casino” does not simply mean a gambling platform. It refers to the infrastructure that captures demand for speculation, including exchanges, prediction markets, derivatives platforms, and other venues capable of generating revenue from trading activity.
Why might trading platforms be more durable than individual tokens?
A trading platform does not necessarily need to predict whether a particular asset will rise or fall. As long as trading activity continues, the platform can potentially earn fees.
That does not mean every platform will succeed. Competition, regulation, fee compression, user growth, and market cycles can all affect the business model.
What does Pump.fun data tell us?
The relevant onchain research suggests that only a very small share of wallets generated more than $10,000 in realized profit, around 0.4% in the cited dataset. The methodology has limitations, including how wallets, realized profits, and trading activity are identified.
The broader lesson is simple: participating in speculation is easy; Consistently making money from speculation is much harder.
Why is AI connected to speculation?
AI is creating new technologies, investment opportunities, and capital expenditure cycles, while also potentially changing employment and income trajectories for younger workers.
The Stanford Digital Economy Lab found that employment among workers aged 22–25 in highly AI-exposed occupations was about 19% below the level implied by the employment trajectory of similarly aged workers in less-exposed occupations. However, the researchers explicitly caution that this descriptive gap does not by itself establish that AI caused the entire difference.
Therefore, it is more accurate to say that AI and changes in the labor market may be one of the background factors encouraging some people to seek higher-risk, higher-upside opportunities.
Conclusion: The Real Question May Not Be “Who Can Make 100x?” but “Who Keeps Collecting the Fees?”
The most interesting part of Delphi Digital's report is not that it tells readers to buy a particular asset.
Quite the opposite.
It asks a deeper question:
If speculation really persists for the next decade, who stands to benefit the most?
It may not be every person chasing Meme coins.
It may not be every investor buying AI tokens.
And it may not even be every winner in prediction markets.
Because the essence of speculation is simple:
Someone wins. Someone loses. But trading itself can continue.
That creates straightforward logic.
Assets rotate.
Narratives rotate.
Hot sectors rotate.
But as long as people continue trading, the casino remains open.
That may be one of the most realistic ways to understand Crypto.
It does not necessarily need every token to have long-term fundamental value.
It needs continued demand for trading.
From this perspective, the Crypto market of the next decade may not simply be about finding the next Bitcoin.
It may be about finding who can become the next generation of global speculative infrastructure.
That also gives us a new answer to the question raised in the previous article.
We used to ask:
“Who is buying when BTC falls?”
Perhaps the next question should be:
“Where does that money ultimately trade?”
Because what lasts the longest may never be a particular narrative.
It may simply be the fact that people will always want to bet in the future.
And when more people want to bet on the future, the more interesting question may not be who correctly predicted the next market move.
It may be:
Who keeps sitting at the table?
Original Source
Delphi Digital's latest report, The House Always Wins: Why Speculation is the Theme of the Decade, examines the possibility that speculation could become one of the defining themes of the next decade.
The report argues that technological progress and pressure on traditional wealth-building paths are simultaneously supporting demand for speculation. AI, prediction markets, options, Meme coins, and Crypto are simply different expressions of the same broader behavior.
The more important question may therefore be who provides the infrastructure for this demand.
As users rotate between different assets and narratives, the assets themselves may change constantly, while trading platforms can continue to capture revenue through execution, liquidity, and fees.
Instead of constantly searching for the next 100x asset, it may be more useful to ask:
Who is becoming the “casino” of this era?
Original Title: The House Always Wins: Why Speculation is the Theme of the Decade
Author: Delphi Digital Publication Date: October 2026
Original Source: https://x.com/TechFlowPost/status/2112831272301252756
Risk Disclaimer:
Cryptocurrency markets are highly volatile. Digital asset prices may be affected by macroeconomic conditions, monetary policy, market liquidity, capital flows, market sentiment, and investor behavior, among other factors. This article is provided for informational and educational purposes only and does not constitute financial, investment, or trading advice. Prediction markets, derivatives, leveraged products, and other high-risk products may involve substantial losses. Investors should assess their own risk tolerance independently and fully understand the mechanisms and potential risks of the products they trade.