ChatGPT highlights Solana and
Summary
- Finbold used ChatGPT to scan the early 2026 crypto rebound for coins that could theoretically turn $100 into $1,000.
- The model named Solana a high beta altcoin with benefits of ecosystem growth, technology upgrades, sentiment and potential spot ETF demand
- XRP was labeled as a strong buy in January in terms of liquidity, institutional optimism and relative strength versus Bitcoin, but only for moderate gains in the short term.
According to financial publication Finbold, the cryptocurrency market rallied in the first week of 2026, adding to the asset class’s overall capitalization after a turbulent end to 2025.
ChatGPT predictions, are they worth it?
Finbold used ChatGPT’s artificial intelligence platform to analyze which cryptocurrencies could deliver substantial returns in January, specifically researching the potential to turn a $100 investment into $1,000.
The AI system identified Solana as a candidate and described it as a “high beta altcoin play,” according to the report. ChatGPT’s analysis cited factors such as ecosystem growth, technical improvements, investor sentiment and institutional interest through a potential exchange-traded fund as reasons for a potential appreciation in January.
However, the AI platform indicated that a tenfold increase during the month was not particularly likely, instead predicting more modest gains in the short term with bigger increases possible later in the year, the report said.
XRP (XRP) was selected as the second cryptocurrency, based on the momentum gained since early 2026, with the token outperforming several major cryptocurrencies according to the analysis. ChatGPT cited predictable liquidity, institutional optimism, and relative strength compared to Bitcoin as bullish factors supporting XRP in January.
The AI system rated XRP as a strong buying option for January, but determined that a tenfold increase before the end of the month was unlikely and instead anticipated more moderate gains, the report said.
ChatGPT noted that its forecasts were based on what it considered a plausible best-case scenario, while acknowledging the possibility of both underperformance and unexpected gains beyond its forecasts, Finbold said.
