Solana spent years being defined by memecoin volume, and $3.73B in tokenized real-world assets is starting to change that label. ChatGPT AI predicts that the shift carries price higher, and the price prediction targets $150 to $190 by the end of 2026, with $165 as a realistic base case.
Alpenglow is the strongest catalyst. Its rollout is progressing toward mainnet and targets sub-150ms finality.
That matters for latency-sensitive trading and payments. Those are the use cases where milliseconds decide whether a venue is viable.
The RWA number is the second pillar. Solana’s tokenized asset value hit $3.73B in July as tokenized equities expanded.
ChatGPT frames that as real network demand rather than speculation. It is the part of the thesis that does not depend on sentiment.
Morgan Stanley’s Solana ETF adds a third channel. The product can stake its SOL holdings, which creates capital demand and locks supply at the same time.
The bear case has two triggers. A failed Alpenglow rollout is the first.
Weakening on-chain activity is the second. Either could send SOL toward $50 to $60, while the bullish scenario points to $175 by year-end.
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Solana Price Prediction: ChatGPT AI Predicts Tokenized Equities Rewrite Solana’s Reputation
The weekly chart shows two full cycles. SOL climbed from $20 in 2023 to a peak near $293 by January 2025.
A second run reached $255 in September 2025. That marked the top before the trend turned decisively.
Early 2026 broke the structure, cutting the price from $145 toward $80. The decline continued through spring to a low near $61.
Recent weeks have stabilized. Price has ground slowly higher and now sits in the upper $70s.
The weekly close reads $77.15, up 3.50% and $2.61. The weekly range covered $74.36 to $77.39.
Support sits at $74, then $68 and $61 at the spring low. Resistance appears at $90, then $100, and $120.
RSI reads 42.06 with its signal line below at 38.21. The oscillator leads by nearly 4 points, a constructive crossover from depressed levels.
Both lines remain under the midline. Momentum is turning up, but no trend reversal has been confirmed yet.
ChatGPT’s base case needs more than double from here. Alpenglow reaching mainnet is the event that would justify the market repricing it.
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Solana Is Betting on Execution. Kalshi Lets Traders Bet on Whether the Catalysts Actually Deliver.
The Solana thesis now has something traders can measure: Alpenglow reaches mainnet, tokenized assets keep growing, and institutional products continue pulling SOL out of circulation.
Kalshi is built around that same event-driven mindset.
Rather than taking exposure to every variable affecting SOL, users can trade directly on real-world outcomes across crypto, politics, economic data, Fed decisions, and other events that can move markets. That makes it useful when the thesis comes down to whether a specific milestone happens, not simply whether a token looks cheap.
For Solana, the difference is important. A successful Alpenglow rollout could strengthen the entire valuation case. A delay or failure changes it immediately.
Kalshi lets traders focus on those outcomes before the reaction works its way into price.
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The post Sam Altman ChatGPT AI Predicts Solana Could Challenge Its All-Time High Again appeared first on 99Bitcoins.
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