AI predicts Gold price after reaching a new all-time high

Gold reached an all-time high (ATH) on August 16, entering a price discovery zone that strengthens its financial value proposition. Finbold turned to leading artificial intelligence (AI) models for insights on gold’s ongoing upward potential and price prediction.

Notably, the yellow precious metal and leading commodity is on a rally, up 20% year-to-date from $1,984 per ounce. As of this writing, gold trades at $2,492 against the dollar, slightly above July’s all-time high of $2,489.

In a visible uptrend, gold strengthens its position as a solid store of value amid growing recession fears and conflicts. The current price trades above the 30-day and 356-day exponential moving averages of $2,417 and $2,132, respectively.

Leading AIs predict the gold price short, mid, and long-term after an all-time high

First, we consulted Meta (NASDAQ: META) AI’s Llama 3.1, considered one of the most advanced open-source models. The AI forecasts gold to trade between $2,650 and $2,800 within the next three months (short term); $3,200 and $3,500 in a year from now (mid-term); and up to $5,000 within the next two to five years.

Second, OpenAI‘s flagship product, ChatGPT-4o, has a more conservative projection for the precious metal, considering the same context and periods. In particular, it predicts gold will trade at $2,550, $2,750, and $3,200 per ounce, respectively.

Meanwhile, Claude 3.5 Sonnet—developed by Anthropic and deemed superior to ChatGPT-4o—aims even lower, although still bullish. Claude’s last update sees gold trading at $2,550 within six months, $2,680 within two years, and $3,100 by 2030.

It is interesting that, despite the different projections, all three of the most advanced artificial intelligence models believe gold will deliver gains to investors that start allocating capital today, even at its most recent all-time high. The consensus is that gold will trade above $3,000 five years from now, with over 20% gains from now.

Nevertheless, these AI models are not accurate tools for price prediction, and they can make mistakes requiring caution.

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