Author: Techub Selected Translation
By: 0xJeff
Translated by: Tia, Techub News
2025 has been a challenging year—despite the U.S. President’s pledge to make America the global capital of cryptocurrency and artificial intelligence, the crypto industry has struggled throughout the year.
Since Trump’s January inauguration, we’ve endured repeated high-stress moments—including one particularly severe flash crash in October that brought the crypto industry to a standstill.
Although the ripple effects of the flash crash have yet to fully subside, both macroeconomic conditions and sector-specific tailwinds point toward improved performance this quarter—and an optimistic outlook for 2026.
In this article, we’ll dive deep into six key trends shaping cryptocurrency behind the scenes—and offer a glimpse into what 2026 may hold.
Prediction Markets = Crypto Options’ Product-Market Fit
Prediction Markets (PMs), as an industry, recently hit a new all-time high in weekly notional trading volume—reaching $3 billion for the first time two weeks ago.
We’re seeing continuous expansion in market categories—politics, sports, esports, pop culture, mention markets, macroeconomics, crypto, finance, earnings, tech, and more.
While @Polymarket and @Kalshi serve as comprehensive prediction markets covering all trending topics, newer PM projects like @trylimitless and @opinionlabsxyz focus on niche verticals—Opinion Labs exclusively covers macro themes (e.g., interest rates across U.S., Europe, and Japan), while Limitless concentrates on crypto markets, offering broader asset coverage and multiple timeframes.
Crypto options surged in popularity during the 2021 bull run but subsequently declined sharply due to several challenges—the most prominent being poor UI/UX and insufficient liquidity.
Prediction markets deliver precisely what options lack: excellent UI/UX enabling anyone to bet on anything (no financial expertise required) + capital attraction through exciting, novel markets—where anyone can become both a market maker and taker (betting Yes or No). There’s no need to understand Greek letters or complex options jargon—you simply buy Yes/No shares.
And just like options, users are increasingly adopting prediction markets as hedging tools for their core asset exposures.
Received a large airdrop but want to hedge risk? Buy No shares in that market.
Overexposed to long positions in your portfolio? Avoid buying any shares in macro or Bitcoin markets.
You get the idea.
Prediction markets are essentially repackaged options—designed for mass adoption, accessible and beneficial to everyone. One major beneficiary is machine learning / forecasting teams.
Prediction Markets = The Ideal Testing Ground for ML Teams
Teams like @sportstensor, @SynthdataCo, @sire_agent, and @AskBillyBets
are aggressively optimizing signals for prediction markets.
Sportstensor serves as Polymarket’s liquidity layer, enabling any prediction market trader to participate in prediction contests and contribute signals. Top-performing signals earn alpha token rewards—and feed back into Sportstensor’s ongoing signal optimization for future profitability.
Synth positions itself as a high-frequency trading prediction market hedge fund. It leverages Synth’s predictive signals to forecast 1-hour and 24-hour price movements of crypto assets—and executes trades on prediction markets. Preliminary results show a 500% ROI within one month ($3,000 → $15,000).
Sire is building an Alpha-stage treasury, using its Sire model—trained on SN44 scoring data—to place bets in sports betting markets. Its early returns reportedly exceed 600%. This is claimed to be the best private-equity DeFi treasury product on the market, soon to launch publicly.
Billy leverages its Sports Betting Insights (BCS) to provide analytics and automated betting functionality. The team is exploring advantages in providing liquidity for Kalshi’s parlay markets. They plan to scale this strategy and grow capital size—once capital reaches a certain threshold, future returns will be distributed back to token holders.
The allure of prediction markets lies in the numerous Darwinian-style AI competitions currently underway—or about to begin—where ML teams can test and validate their strategies in real-world environments.
Synth, Sire, and Billy can all join Sportstensor’s contests—which are launching imminently. And soon, @aion5100’s @futuredotfun will kick off “Market Wars” on both Polymarket and Kalshi.
The coolest part? Polymarket is hinting at Poly token incentives—plus new prediction-market-specific token rewards—to attract liquidity and trading volume. ML teams can simultaneously discover mispricings/arbitrage opportunities and mine tokens.
Does this remind you of Hyperliquid’s early days?
It’s happening again—but this time, the stage has shifted from perpetuals to prediction markets.
The Neobank War Is Heating Up
We’re witnessing a shift: major Web2 startups and enterprises are launching L1/L2 services and integrating stablecoin payment rails to serve end-users directly—while crypto-native projects actively expand into real-world financial services.
Teams such as @ether_fi, @useTria, @AviciMoney, and @UR_global now all offer non-custodial crypto debit cards—enabling users to spend their crypto balances directly in the real world.
Within less than a year, this market has evolved from a blue ocean into a crowded battlefield—with over 20–30 serious players competing for the same pool of crypto users.
Current differentiation strategies include:
Cashback/discount percentages—Tria leads here with the highest cashback rate, though it charges an annual fee.
Perks (travel, hotel loyalty programs, VIP lounge access, event tickets)
Yield/DeFi integration (yield on idle funds, borrow-to-spend, etc.) — EtherFi perfectly embodies this strategy with its high yield and borrow-to-spend functionality.
Foreign exchange trading, transfers, and ATM fees
Nonetheless, most of these products rely on the same underlying architecture. They depend on partner banks/issuing institutions holding Visa/Mastercard licenses, positioning the credit card as a front-end user acquisition layer—not a genuinely new bank.
Therefore:
Compliance is controlled by the issuer/bank partner—not the project itself.
User balances are virtual balances—not full bank accounts.
Most services are limited to “crypto spending” and do not offer fiat withdrawals or banking functionality.
For now, this is acceptable—everyone operates under the same constraints. But as competition intensifies, becoming a true bank may well be the decisive advantage.
Projects with their own compliance and regulatory frameworks will be able to offer genuine bank accounts supporting multi-currency deposits and withdrawals—and seamless integration across both crypto and traditional financial systems.
In this regard, UR (from the Mantle ecosystem) leads the way—it operates under supervision from the Swiss Financial Market Supervisory Authority (FINMA) and holds a Swiss banking license, supporting seven fiat currencies alongside real-world and crypto financial services (users can deposit, withdraw, and transfer funds in all seven currencies via traditional banking channels).
Cryptocurrency breakthrough applications/use cases are clearer than ever
Trading
Prediction
DeFi yield farming
Stablecoins
Asset tokenization
We’ve evolved from CEXs to spot DEXs, then to Perp DEXs—culminating in Hyperliquid’s emergence.
The hyper-speculative wave led by Pumpdotfun has fueled numerous new narrative-focused Launchpads.
Prediction markets are surging—breaking into the mainstream for the first time (we haven’t seen viral adoption this intense since the NFT era—when people were still mocking those ugly JPEGs).
DeFi—powered by structured yield products, interest-bearing instruments, stablecoins, RWA/DePIN, and tokenization—is steadily penetrating Wall Street and cementing its status as a core pillar of crypto. People now realize they can own a piece of the future—and earn yield on it (even borrowing against it).
As centralized exchanges (CEXs) roll out wallet super-apps like Base app, Binance, and OKX, all key crypto use cases are being reinforced. Other exchanges are also expanding wallet functionality to make them accessible to everyday users. Initial Coin Offerings (ICOs) are making a comeback—Coinbase launched its first Monad ICO, while other launch platforms (e.g., Legion, Kaito) continue growing their user bases.
Crypto AI has found its initial product-market fit (PMF).
The early days of crypto AI were filled with AI meme coins and repackaged GPT wrappers branded as “AI agents.” Those days are over.
Today, blockchain rails and stablecoins are enabling commercial activity between agents, while cryptographic technologies like TEEs and zk-proofs—combined with tokenomics (incentives and penalties)—make AI systems verifiable and deterministic.
Supporting stacks—including x402, ERC-8004, programmable wallets, metering/billing frameworks, verifiable inference/computation, and other extensions—are laying the foundation for trustless, continuous, and secure AI-human collaboration (infrastructure enabling AI and humans to transact and collaborate seamlessly anytime, anywhere—with safeguards against hallucination and runaway behavior).
Meanwhile, Darwinian AI has evolved into a compelling meta-layer gamified competition that evolves AIs/agents, improves signal quality, and boosts performance through real-world incentives. So far, the most successful applications center on trading and prediction signals—directly aligning with crypto’s core DNA.
Ecosystems are increasingly adopting this Darwinian model—using token incentives to attract builders, reward contributors, and subsidize R&D—thereby building higher-quality AI products. Though the Bittensor ecosystem remains early-stage, its top subnets have already demonstrated impressive momentum.
Despite these advances in crypto AI projects—and improved product-market fit—their tokens have yet to reflect this progress. Most trade 30%–90% below their TGE prices—even though they deliver robust infrastructure and real utility.
DeFi enters the Dynamic DeFi era
DeFi has long established itself as a core pillar of crypto, with total value locked (TVL) across DEXs, lending protocols, yield products, and stablecoins exceeding $130 billion.
Built on programmable smart contracts, DeFi is verifiable, auditable, and highly composable—today’s top protocols rank among the most battle-tested systems in crypto. Yet despite DeFi’s success, its underlying infrastructure has remained largely unchanged over the past five years. Core mechanisms—like concentrated liquidity provision or lending models—have seen little evolution.
Now imagine a new wave of adaptive DeFi systems—protocols that automatically leverage/deleverage, rebalance LP positions, or enter/exit markets based on predicted price movements of underlying assets.
This marks the dawn of the AI- and ML-driven Dynamic DeFi era.
Machine Learning-Enhanced DeFi
@AlloraNetwork is a leading driver—partnering with top DeFi protocols to embed ML-powered intelligence into traditional DeFi systems:
ML-driven centralized LP strategies
Adaptive leveraged/deleveraged LP management
Dynamic yield optimization based on forward-looking risk signals
Predictions and signals are generated by Allora’s inference network, where AI/ML engineers contribute models and earn token rewards under a Darwinian incentive mechanism.
AI-Managed DeFi Strategies
AI-managed/created DeFi strategies—such as those from @gizatechxyz and @almanac —are gaining traction.
Giza acts as an AI capital allocator—managing user funds across a curated set of DeFi protocols and strategies.
Almanac enables AI agents to design and deploy tokenized DeFi treasuries in minutes—customized to user-defined strategies. This makes Almanac both a capital allocator (bringing TVL into DeFi projects) and a treasury creation platform for fund managers.
As TradFi converges with DeFi, ML systems enhance DeFi’s core value proposition and risk management, while AI curators design increasingly sophisticated strategies—potentially accelerating DeFi’s expansion in 2026 and unlocking a smarter, more autonomous, and adaptive financial layer for the internet economy.
What’s Next?
In 2026, we may witness greater convergence across narratives—crypto, AI, DeFi, RWAs, DePIN, and robotics are converging into an interoperable digital economy operated by both humans and agents.
DeFi becomes vibrant
AI powers DeFi’s scale-up, driving user growth into the millions.
Crypto railroads, stablecoins, and breakthrough use cases reach millions of new users.
New-generation digital banks (Neobanks) bridge Web2 and Web3 users, unifying the two worlds.
Prediction markets expand continuously, with machine learning teams becoming a core pillar for product managers.
Natural selection operates faster—only a select few crypto assets will see price appreciation.
Crypto projects may opt for IPOs instead of ICOs, leveraging traditional financial capital markets to achieve liquidity, legitimacy, and scale.
The next cycle = the cycle of convergence between TradFi and DeFi.