AI Predicts XRP Price: Will It Hold $1 in February?

The opening weeks of 2025 presented a stark tale of two extremes for XRP. The asset rocketed out of the gate, surging 30% in days to hit a multi-week high above $2.40 on January 6. This rally, however, proved short-lived. A powerful rejection at that level triggered a severe correction, culminating in a plunge to $1.50 by the final trading week of January. This price point marks a 14-month low for the cross-border token, erasing gains made after the 2024 U.S. elections and placing it in deeply oversold territory. This dramatic swing from peak to trough, encompassing several 30% moves, has created an environment of enhanced volatility, setting the urgent context for the current price predictions.

Consulting AI models for market insight, the consensus leans toward a period of consolidation, but one fraught with potential for further decline. Gemini’s analysis is emblematic of this view, suggesting the asset is poised for “consolidation followed by a decision point” after its turbulent run. It outlines two primary scenarios. In a bullish case, XRP could rebound and stabilize between $1.80 and $2.00, provided it first reclaims and holds the $1.65-$1.70 support zone. Failure to do so, however, opens the door to a bearish continuation, with a trading range of $1.25 to $1.45 becoming more likely.

Echoing this framework, Grok provided an identical near-term target, pinpointing $1.45 as a critical level. It noted that a decisive break below the $1.70 “floor” would expose a lack of volume support until the $1.45 region, describing this as the “max pain” scenario for recent buyers. Significantly, both Gemini and Grok essentially dismissed the possibility of XRP falling below $1.00 in the immediate February timeframe, focusing their bearish outlook on the mid-$1 range instead.

While the sub-$1.00 scenario was ruled out for February by several AIs, the level itself was highlighted as the ultimate support to watch. ChatGPT explicitly stated that XRP will likely “defend the $1.00 level in February.” It acknowledged intense selling pressure, potentially linked to global tensions and reflected in ETF outflows, but judged the $1.00 mark as still distant enough to not cause “actual concern” for now. However, ChatGPT introduced a longer-term caveat, suggesting that a drop to or below $1.00 remains a possibility by the end of the first quarter or the beginning of the second quarter of 2025.

Perplexity offered the most bearish near-term outlook among the group, directly tying XRP’s fate to geopolitical developments. It warned that a worsening landscape—specifically citing the potential for a U.S. attack on Iran—could trigger another “nosedive” for the riskier asset, this time driving it toward the $1.00 threshold. Like its counterparts, Perplexity also dismissed a February drop below $1.00 barring a “black swan” event, but its analysis underscores how external macroeconomic and geopolitical shocks are now central to the cryptocurrency’s risk assessment.

The collective AI analysis for Ripple’s XRP converges on a narrative of fragile equilibrium. The models largely agree that a period of sideways consolidation is the base case, but the level at which this occurs—whether in the mid-to-high $1 range or closer to $2.00—hinges entirely on the asset’s ability to hold immediate support near $1.70. The $1.00 level stands as the major psychological and technical support, viewed as defensible in February but increasingly vulnerable as the year progresses, especially if external pressures mount.

For investors, the forecasts from Gemini, Grok, ChatGPT, and Perplexity serve less as a definitive roadmap and more as a risk assessment framework. They highlight key price zones to monitor ($1.70, $1.45, $1.00) and explicitly factor in non-crypto variables like geopolitical tension. The overarching message is one of caution: while an immediate collapse below $1.00 is considered unlikely, the path to stability is narrow, and the token remains highly susceptible to further downside volatility within a broader consolidation pattern.