The 3 Best Cryptos to Get Rich by 2026 According to Claude AI

bitcoinistОпубликовано 2026-02-03Обновлено 2026-02-03

Введение

According to Claude AI, three cryptocurrencies are highlighted as potential top performers by 2026: XRP, HYPER, and TAO. The analysis is based on prevailing market narratives, not certainties. XRP's potential hinges on its resolution with the U.S. SEC and its utility for low-cost, fast cross-border payments. Its success depends on real-world adoption by financial institutions, not just speculation. HYPER is a Bitcoin Layer 2 solution promising faster transactions and smart contracts. Currently in presale, it is presented as a high-risk, high-volatility bet aimed at capturing the next wave of Bitcoin-based DeFi. TAO (Bittensor) focuses on decentralized AI, creating a marketplace where AI models compete and are rewarded. A recent halving event increased its scarcity. Its challenge is to break through key resistance levels to regain value. This is not investment advice. Cryptocurrency investments are high-risk and can lead to significant losses. Always conduct your own research and only invest what you can afford to lose.

Predictions from an artificial intelligence are not certainties; they mainly reflect the narratives that already dominate the market. But they provide a good starting point for analyzing projects. In several financial contents that attribute choices or assumptions to Claude, three names keep coming up: XRP, HYPER, and TAO. This article offers an in-depth look at the catalysts and risks.

Ripple with XRP, Betting on Regulatory Normalization

The first argument is the end of a long legal fog. In August 2025, the U.S. Securities and Exchange Commission confirmed the closure of the appeal case, while upholding the final judgment, which included a $125 million civil penalty and an injunction. This clarification made XRP a symbol of stabilizing regulation, a central topic for finance and cryptocurrencies in 2026.

The other angle is utility. Ripple is pushing XRP as a tool for value transfer, particularly for low-cost, fast-settlement cross-border payments. In AI scenarios, the recurring theme remains adoption by financial players, more than pure speculation. A dynamic that could grow actively with RLUSD.

The point of caution remains simple: the thesis only holds if usage actually progresses. If XRP remains primarily a trading asset, the gap between promise and reality can close quickly, especially in a cycle where narratives can reverse abruptly.

Bitcoin Hyper with HYPER, The Promise of a Layer 2 for the Bitcoin Ecosystem

Bitcoin Hyper presents itself as a Layer 2 aiming to make Bitcoin more fluid, via faster transactions and smart contracts, relying on a virtual machine inspired by Solana. According to Claude AI, HYPER is often sold as the best current bet in presale, supposed to capture the next wave of decentralized finance backed by Bitcoin.

But this is also the case where caution must be maximum. Still in presale and not having conducted its TGE, volatility is likely to be extreme at launch, which could appeal to the most seasoned traders.

TAO from Bittensor, Betting on Decentralized AI Long-Term

With TAO, the thesis is more structural. Bittensor aims to create competition among artificial intelligence models, remunerated according to their contribution, a positioning that aligns with 2026 keywords: decentralized AI, infrastructure, and usage monetization. Market analyses highlight the rise of specialized subnets, capable of providing inference or agent services, and thus creating more organic demand.

The clearest catalyst is the emission mechanism. In mid-December 2025, the first halving reduced the daily emission of TAO, mechanically increasing scarcity if demand holds, much like bitcoin.

Oscillating like altcoins towards new support levels, the whole challenge lies in TAO's ability to break through resistances and return above $500. A scenario essential to put sellers on the sidelines and restore on-chain optimism.


This article does not constitute investment advice. The information provided here should not be used as a basis for making financial decisions. Cryptocurrency investments involve risks and can lead to significant losses. You should only invest what you can afford to lose and conduct your own research before making any investment decision.

Связанные с этим вопросы

QAccording to the article, what are the three cryptocurrencies mentioned by Claude AI as potential candidates for wealth in 2026?

AThe three cryptocurrencies mentioned are XRP, HYPER, and TAO.

QWhat is the main regulatory event that is considered a positive catalyst for XRP?

AThe main regulatory event was the closure of the appeal case by the U.S. Securities and Exchange Commission (SEC) in August 2025, which provided regulatory clarity and included a final judgment with a $125 million civil penalty and an injunction.

QWhat is the primary function of the Bitcoin Hyper (HYPER) project, and what is a major risk associated with it?

ABitcoin Hyper (HYPER) is a Layer 2 solution designed to make Bitcoin more fluid with faster transactions and smart contracts. A major risk is its extreme volatility at launch, as it was still in its pre-sale phase and had not yet conducted its Token Generation Event (TGE).

QWhat is the core thesis behind the TAO (Bittensor) project, and what key 2026 trend does it align with?

AThe core thesis of TAO (Bittensor) is to create a decentralized marketplace where different AI models compete and are rewarded based on their contribution. It aligns with the key 2026 trends of decentralized AI, infrastructure, and the monetization of AI applications.

QWhat specific event in TAO's tokenomics occurred in mid-December 2025 that could impact its scarcity?

AIn mid-December 2025, TAO underwent its first halving, which reduced the daily emission of new tokens, thereby mechanically increasing its scarcity if demand remains constant.

Похожее

The Essence of AI Layoffs: Why More AI Adoption Leads to More Corporate Anxiety?

The author, awaiting potential inclusion on an 8000-person layoff list, analyzes the true nature of recent "AI-driven" layoffs. They argue that while AI use, particularly tools like Claude for code generation, has skyrocketed and boosted developer output (e.g., 2-5x more code commits), this has not translated into proportional business growth or revenue. The core issue is a misalignment between increased "Input" (code) and tangible "Outcomes" (user value, revenue). AI acts as a costly B2B SaaS, inflating operational expenses without guaranteed returns. Two key problems emerge: 1) The friction that once filtered out bad ideas is gone, as AI allows cheap pursuit of even weak concepts. 2) Organizational "alignment tax"—the difficulty of coordinating across teams—becomes crippling when development velocity outpaces consensus-building. Thus, layoffs serve two immediate purposes: 1) To offset ballooning AI costs (Token consumption) and maintain cash flow, as rising input costs without outcome growth destroys unit economics. 2) To reduce organizational bloat and alignment friction by simply removing teams, thereby speeding up execution in the short term. Therefore, these layoffs are fundamentally caused by AI, even if AI doesn't directly replace roles. They represent a painful correction until companies learn to convert AI-driven productivity into real business outcomes and streamline organizational coordination to match the new pace of work. The cycle will continue until this learning curve is mastered.

marsbit1 мин. назад

The Essence of AI Layoffs: Why More AI Adoption Leads to More Corporate Anxiety?

marsbit1 мин. назад

Can the Solana Foundation and Google's Collaboration on Pay.sh Bridge the Payment Link Between Web2 and Web3 in the Agent Economy?

Solana Foundation, in collaboration with Google Cloud, has launched Pay.sh, a payment gateway designed to bridge the gap between AI agents and enterprise-grade service infrastructure. The initiative aims to solve a key bottleneck in the "agent economy": existing payment systems are ill-suited for autonomous AI agents. Traditional methods like credit cards require human verification, while newer on-chain protocols like x402 and MPP create a separate, Web3-native system that raises barriers for service providers. Pay.sh functions as a universal payment layer. It allows users to fund a Solana wallet via credit card or stablecoin, which then acts as an identity and payment proxy for AI agents. When an agent needs to access a paid API service (e.g., Google Cloud, Alibaba Cloud), Pay.sh handles the transaction seamlessly. It leverages the HTTP 402 status code ("Payment Required") to initiate payments, intelligently choosing between one-time transfers (x402-style) or session-based authorizations (MPC-style) based on the service's billing model. This spares agents from manual account registration and API key management. A key feature for service providers is low integration effort. They can adopt Pay.sh by providing a declarative configuration file, enabling features like tiered pricing, free tiers, and automatic revenue splitting to multiple addresses (e.g., for royalties, cloud costs). Providers can also list their APIs in a central Pay Skill Registry for agent discovery. The collaboration with Google Cloud provides crucial infrastructure for API proxying, traffic routing, and compliance logging, aiming to keep agent activities within regulated boundaries. By connecting Web2 services with Web3 payment rails, Pay.sh positions the Solana wallet as a foundational identity and payment tool for AI agents, potentially driving more transaction volume to the Solana ecosystem. However, the report notes challenges. The service registry currently lacks robust vetting, risking exposure to unauthorized or malicious third-party APIs. Pay.sh also inherits security and compatibility risks from its underlying payment protocols (x402, MPC). Furthermore, adoption may be hindered by varying regional data privacy and payment compliance regulations among API providers. Despite these hurdles, Pay.sh represents a significant step towards integrating Web2 and Web3 for autonomous agent commerce.

marsbit8 мин. назад

Can the Solana Foundation and Google's Collaboration on Pay.sh Bridge the Payment Link Between Web2 and Web3 in the Agent Economy?

marsbit8 мин. назад

Bitcoin's Bull-Bear Cycle Indicator Turns Positive for the First Time in 7 Months: End of Bear Market or False Breakout?

Bitcoin's "Bull-Bear Market Cycle Indicator" from CryptoQuant has turned positive for the first time since October 2025. This gauge, based on the P&L Index relative to its 365-day moving average, suggests a potential shift from a bear market phase. Concurrently, the Bull Score Index rose to a neutral reading of 50 in late April. The indicator's move into positive territory follows a roughly 35% price rebound from a low near $60,000 in February to above $81,000. The recovery over approximately three months was faster than the 12-month period observed during the 2022 bear market. However, analysts caution against premature optimism, citing a historical precedent from March 2022. Back then, the Bull Score Index briefly hit 50, but it proved to be a false signal as Bitcoin's price subsequently plunged further. Structural differences exist in the current cycle, including consistent inflows into spot Bitcoin ETFs and an increase in large holder addresses. Yet, some models, referencing the four-year halving cycle, suggest a potential deeper bottom near $50,000 might still be possible around late 2026. In summary, while on-chain data shows marked improvement and the worst panic may be over, market participants remain cautious. A convincing trend reversal confirmation likely requires Bitcoin to sustainably break above key resistance, such as the 200-day moving average near $82,000.

marsbit15 мин. назад

Bitcoin's Bull-Bear Cycle Indicator Turns Positive for the First Time in 7 Months: End of Bear Market or False Breakout?

marsbit15 мин. назад

How to Automate Any Workflow with Claude Skills (Complete Tutorial)

This is a comprehensive guide to mastering Claude Skills, a feature for creating permanent, reusable instruction sets that automate specific workflows. Unlike simple saved prompts, Skills function like trained employees, delivering consistent, high-quality outputs by defining the entire task process, standards, error handling, and output format. The guide is structured in four phases: **Phase 1: Installation (5 minutes).** Skills are folders containing a `SKILL.md` file. The user is instructed to find a relevant Skill online, install it, test it on a real task, and compare its performance to one-off prompts. **Phase 2: Building Your First Custom Skill.** Start by rigorously defining the Skill's purpose, trigger phrases, and providing a concrete example of perfect output. The `SKILL.md` file has two parts: a YAML frontmatter with a specific name/description/triggers, and a detailed, step-by-step workflow written in natural language with examples and quality standards. **Phase 3: Testing & Optimization for Production.** Test the Skill in three scenarios: 1) a standard, common task; 2) edge cases with missing or conflicting data; and 3) a pressure test with maximum complexity. Any failure indicates a needed instruction. Implement a weekly optimization cycle to continuously refine the Skill based on real usage. **Phase 4: Building a Complete Skill Library.** The goal is to create a team of Skills for all repetitive tasks. Examples are given for industries like real estate, marketing, finance, consulting, and e-commerce. The user should list their tasks, prioritize them, and build one new Skill per week, maintaining a master document to track their library. The conclusion emphasizes the compounding time savings: ten Skills saving 30 minutes each per week reclaims over 260 hours (6.5 work weeks) per year, fundamentally transforming one's work system.

marsbit39 мин. назад

How to Automate Any Workflow with Claude Skills (Complete Tutorial)

marsbit39 мин. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Неделя обучения по популярным токенам (2): 2026 может стать годом приложений реального времени, сектор AI продолжает оставаться в тренде

2025 год — год институциональных инвесторов, в будущем он будет доминировать в приложениях реального времени.

1.8k просмотров всегоОпубликовано 2025.12.16Обновлено 2025.12.16

Неделя обучения по популярным токенам (2): 2026 может стать годом приложений реального времени, сектор AI продолжает оставаться в тренде

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на AI (AI) представлены ниже.

活动图片