Google’s Gemini AI has produced price projections for XRP, Solana (SOL) and Cardano (ADA) targeting the end of 2026. The forecasts will be watched by investors, product teams and compliance officers because model-driven price views can influence allocation, product design and risk management.
Google’s Gemini AI has issued bullish price forecasts for several leading altcoins, indicating that XRP, Solana and Cardano may reach significantly higher price levels during a potential crypto bull market cycle. According to the AI model’s projections, XRP — Ripple’s native token — could climb to around $8 by 2027, which would represent gains of more than 285% from recent trading levels near $2.07. The forecast highlights the potential impact of spot XRP ETFs in the U.S. and growing institutional demand as key catalysts.
For Solana (SOL), Gemini AI envisions a scenario in which the token could rally to as high as $500 or more by late 2026, roughly 250% above current prices and exceeding its previous all-time high of about $293. The projection is supported by factors such as expanding decentralized finance activity, developer engagement, and renewed investor enthusiasm driven by ETF launches and ecosystem growth.
The AI also sees Cardano (ADA) as a potential standout, forecasting that the token could reach around $3.50 by early 2026 — an approximate 800% increase from current prices around $0.39. Cardano’s methodical development approach, strong research foundation, and growing suite of decentralized applications are cited as supportive elements behind its bullish outlook.
AI forecasts ambitious gains driven by institutional interest and ETF momentum
Asset managers, exchanges and compliance teams will need to translate any AI-derived projections into operational decisions. Key considerations include governance of the model, documentation of inputs, custody and licensing implications, and the potential effect on derivative desks and staking strategies.
While these forecasts from Gemini AI outline optimistic futures for these altcoins, it’s important to note that they reflect models and scenarios rather than guaranteed outcomes. Crypto markets remain highly volatile, and regulatory, macroeconomic, and market sentiment shifts could significantly affect price trajectories. Investors should approach AI-derived predictions with caution and consider them as one of many analytical inputs when evaluating long-term potential.
Investors will compare actual year-end prices in 2026 with Gemini’s projections, and firms should use that comparison to refine model validation and compliance processes. For product teams, the projection sets a date-driven test: end-2026 outcomes will help determine whether model assumptions held, exposing gaps in data, governance or regulatory alignment that require remediation.
