AI Predicts XRP Price Target for This Bull Run

If you are holding Ripple (XRP), you might be wondering how much it could be worth at the end of this bull run An analyst from the Good Evening Crypto YouTube channel turned to AI models to project possible price levels for the token, combining past industry research with fresh forecasts that capture both conservative and aggressive scenarios.

Robby Michnik, now Head of Digital Assets at BlackRock, published a report in 2018 that the video revisits in detail. In that paper Michnik gave XRP price a high estimate of $32.91 under a successful adoption scenario, a low estimate of $6.37, and a fundamental value range of roughly $1.59 to $8.23 once probabilities were applied

The analyst in the video notes Michnik’s assumptions tied those figures to revenue from tokenized assets, stablecoins, and modernization of settlement systems. The coverage emphasizes that these estimates were not tossed off as wishful thinking but were grounded in modeled revenue streams and adoption outcomes.

ChatGPT Price Prediction for XRP

The analyst from Good Evening Crypto notes the projections produced by ChatGPT-style AI prompts and a third-party 12-month analysis. One estimate referenced in the episode suggests $10–$17 billion of potential inflows into the XRP Ledger from ETF-related products, and that inflow projection was translated into price scenarios.

At a base case the AI-backed projection put XRP price near $8, with a high estimate that could exceed $50. The presenter then summarized conservative AI outputs in the range of $8 to $12, an aggressive but plausible case of $20 to $30, and a stress case around $50 if ETFs launch and supply tightens

When asked specifically for 12-month forward price bands after ETF adoption, the AI returned a moderate range of $25 to $50, an aggressive window of $75 to $100, and an extreme scenario between $250 and $500. The video is careful to frame these numbers as scenario-based possibilities rather than guarantees.

Why the Models Show Wide Ranges in Ripple Price Expectations

The spread between modest and extreme outcomes reflects which catalysts actually materialize and how much liquidity flows in. The presenter points to ETF approvals, regulatory clarity, tokenization of real-world assets, and macro moves like rate cuts as the levers that can push outcomes from single-digit figures into the tens or beyond

Read Also: Here’s XRP Price If Bitcoin Reaches $750K in 5 Years

AI models are sensitive to those inputs; when the simulated assumptions include large institutional inflows and locked float dynamics, the outputs stretch dramatically. The video stresses that probability weighting such as the 25% success assumption used in Michnik’s framing changes how headline estimates map into expected values.

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