Ripple CEO Brad Garlinghouse Expects Crypto Market to Reach New High in 2026

TheNewsCryptoPublished on 2026-01-24Last updated on 2026-01-24

Abstract

Ripple CEO Brad Garlinghouse expects the cryptocurrency market to reach a new all-time high in 2026, citing growing institutional interest and regulatory progress. He anticipates Binance re-entering the U.S. market and views the GENIUS Act as a landmark development that will support stablecoin growth. Regarding XRP, the token may correct in the short term but could rise to $2.22 within three months. Analysts project even higher potential, with targets of $8 by 2026 and $12.50 by 2028. Garlinghouse also referenced Ripple's costly legal battle with the SEC, which concluded after four years.

Brad Garlinghouse, CEO of Ripple, recently interacted with the media and cited his expectations of new highs for the crypto market in 2026. XRP has a bullish outlook as well, especially in the next 3 months. Brad also shared his thoughts on the GENIUS Act at the World Economic Forum in Davos, Switzerland.

Crypto in 2026 as per Ripple CEO Brad Garlinghouse

While interacting with CNBC, the CEO of Ripple said that he was bullish about seeing an all-time high in the crypto market. Brad Garlinghouse said that the rising interest from major financial institutions is still not priced in as a factor, adding that the crypto market could see a massive sea change.

Garlinghouse also said that he expects Binance to re-enter the American crypto market, adding that cryptocurrencies could finally be settling into a nice 10-year growth opportunity.

He further spoke about the Genius Act, saying that it has unlocked a lot of activity after calling it a landmark act. Passed in June, the Genius Act, per his statement, could also help stablecoins scale in the times to come. Ripple CEO is bullish on the Clarity Act as well. He has said that they are as close as they have ever been in getting it done.

XRP in Crypto Market

Specifically for XRP, the token is expected to be corrected in the next 1 month. But, it could then note a jump of around 15.03% in the next 3 months from this moment. This could take the token to $2.22, up from the current value of $1.92 at the time of writing this article.

Its price is currently up by 0.28% over the last 24 hours and 2.33% in the last 7 days. The ongoing volatility is high at 6.30%, testing key support levels of $1.89 and $1.82. XRP price prediction additionally underlines critical resistance levels of $1.96 and $2.02 right now.

Brief History with the US SEC

Ripple and the US SEC were earlier locked in a lawsuit where the agency had alleged that Ripple for engaging in the sale of unregistered security. The legal conflict lasted for 4 years, and Ripple reportedly ended up spending around $150 million in fighting the lawsuit.

That said, Standard Chartered analysts have said that XRP could reach $8 this year, that is 2026, and $12.50 in the next 2 years, that is by 2028.

Highlighted Crypto News Today:

Bearish Winds Hit Pudgy Penguins (PENGU): Is Further Downside Still on the Table?

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

OpenAI engineer Weng Jiayi's "Heuristic Learning" experiments propose a new paradigm for Agentic AI, suggesting that intelligent agents can improve not just by training neural networks, but also by autonomously writing and refining code based on environmental feedback. In the experiment, a coding agent (powered by Codex) was tasked with developing and maintaining a programmatic strategy for the Atari game Breakout. Starting from a basic prompt, the agent iteratively wrote code, ran the game, analyzed logs and video replays to identify failures, and then modified the code. Through this engineering loop of "code-run-debug-update," it evolved a pure Python heuristic strategy that achieved a perfect score of 864 in Breakout and performed competitively with deep reinforcement learning (RL) algorithms in MuJoCo control tasks like Ant and HalfCheetah. This approach, termed Heuristic Learning (HL), contrasts with Deep RL. In HL, experience is captured in readable, modifiable code, tests, logs, and configurations—a software system—rather than being encoded solely into opaque neural network weights. This offers potential advantages in explainability, auditability for safety-critical applications, easier integration of regression tests to combat catastrophic forgetting, and more efficient sample use in early learning stages, as demonstrated in broader tests on 57 Atari games. However, the blog acknowledges clear limitations. Programmatic strategies struggle with tasks requiring long-horizon planning or complex perception (e.g., Montezuma's Revenge), areas where neural networks excel. The future vision is a hybrid architecture: specialized neural networks for fast perception (System 1), HL systems for rules, safety, and local recovery (also System 1), and LLM agents providing high-level feedback and learning from the HL system's data (System 2). The core proposition is that in the era of capable coding agents, a significant portion of an AI's learned experience could be maintained as an auditable, evolving software system.

marsbit30m ago

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

marsbit30m ago

Your Claude Will Dream Tonight, Don't Disturb It

This article explores the recent phenomenon of AI companies increasingly using anthropomorphic language—like "thinking," "memory," "hallucination," and now "dreaming"—to describe machine learning processes. Focusing on Anthropic's newly announced "Dreaming" feature for its Claude Agent platform, the piece explains that this function is essentially an automated, offline batch processing of an agent's operational logs. It analyzes past task sessions to identify patterns, optimize future actions, and consolidate learnings into a persistent memory system, akin to a form of reinforcement learning and self-correction. The article draws parallels to similar features in other AI agent systems like Hermes Agent and OpenClaw, which also implement mechanisms for reviewing historical data, extracting reusable "skills," and strengthening long-term memory. It notes a key difference from human dreaming: these AI "dreams" still consume computational resources and user tokens. Further context is provided by discussing the technical challenges of managing AI "memory" or context, highlighting the computational expense of large context windows and innovations like Subquadratic's new model claiming drastically longer contexts. The core critique argues that this strategic use of human-centric vocabulary does more than market products; it subtly reshapes user perception. By framing algorithms with terms associated with consciousness, companies blur the line between tool and autonomous entity. This linguistic shift can influence user expectations, tolerance for errors, and even perceptions of responsibility when systems fail, potentially diverting scrutiny from the companies and engineers behind the technology. The article concludes by speculating that terms like "daydreaming" for predictive task simulation might be next, continuing this trend of embedding the idea of an "inner life" into computational processes.

marsbit32m ago

Your Claude Will Dream Tonight, Don't Disturb It

marsbit32m ago

Duan Yongping's Bottom-Fishing in CoreWeave Is Turning into a Battleground for Bulls and Bears

CoreWeave's Q1 2026 earnings report has intensified the ongoing bull-bear battle over the AI infrastructure stock. While revenue doubled year-over-year to $2.08B and the firm's remaining performance obligation (RPO) surged to nearly $100B, its net loss more than doubled to $740M. The critical point of contention is profitability: while adjusted EBITDA margin was a robust 56%, the adjusted operating margin collapsed to just 1% due to soaring infrastructure and sales costs. A weaker-than-expected Q2 revenue guidance further triggered an 11.4% single-day stock drop. The bull thesis hinges on CoreWeave's massive order backlog, deep strategic ties with NVIDIA (as a customer, investor, and key supplier), and a diversified client base now including Anthropic and Meta. The bear case focuses on the "scale at all costs" model, where expanding revenue leads to wider losses, ballooning debt ($25B), and massive capital expenditures ($6.8B in Q1). Insider selling by executives contrasts with a notable new investor: Chinese investor Duan Yongping initiated a small position (0.12% of his portfolio) in Q4 2025 near the stock's lows. The coming Q2 report is seen as a key test for management's promise of a profit margin recovery.

marsbit38m ago

Duan Yongping's Bottom-Fishing in CoreWeave Is Turning into a Battleground for Bulls and Bears

marsbit38m ago

China's Version of 'Tech Burning Man' Debuts in Shanghai, muShanghai Creates a Global Geek 'Pop-up City'

From May 10 to June 6, 2026, the inaugural muShanghai "Pop-up City" experiment, dubbed China's version of a "tech Burning Man," launched in Shanghai. Co-organized by the international open-source community The Mu and the Hongqiao Alibaba Center, this 28-day event aimed to build a global "parallel city" for geeks, attracting over 800 participants from more than 50 countries, including former OpenAI engineers and startup founders. The program featured four themed weeks: AI Week, Biotech Week, Robotics Week, and Culture Week, hosting nearly 100 sessions like ClawCon 2026. Activities ranged from discussions on AI safety and consumer apps to robot battles and cyberpunk culture, culminating in large outdoor "Innovator Marketplaces." A core principle was "Build in Public," encouraging open sharing of projects and progress. Hongqiao Alibaba Center served as the co-host and primary venue, positioning itself as a first-stop hub for international talent in China. The event marks a significant step for The Mu community, which has previously organized similar pop-up cities in Argentina and San Francisco, in bringing its model of immersive, collaborative innovation to China. It aims to be a key window for global科创 (scientific and technological innovation) exchange.

marsbit39m ago

China's Version of 'Tech Burning Man' Debuts in Shanghai, muShanghai Creates a Global Geek 'Pop-up City'

marsbit39m ago

CLARITY Act: Banking Trade Groups Push For Yield Agreement Revision – Details

US banking trade groups are urging revisions to the stablecoin yield compromise in the upcoming CLARITY Act ahead of a key committee markup. The Act currently aims to ban all passive, deposit-like interest on stablecoins to prevent competition with traditional bank savings, while allowing rewards tied to active uses like staking or transactions. In a letter, groups including the American Banking Association and Bank Policy Institute proposed stricter language to eliminate perceived loopholes for passive yield and prevent deposit flight from banks. However, these efforts are reportedly viewed as minor by some lawmakers. The Senate Banking Committee is scheduled to mark up the bill on May 14, a critical step before it can advance through Congress.

bitcoinist14h ago

CLARITY Act: Banking Trade Groups Push For Yield Agreement Revision – Details

bitcoinist14h ago

Trading

Spot

Futures