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Shares of Amazon are moving into December with steady business momentum but a choppy tape. The underlying story is intact, but the market is testing how much of the stock’s recovery is already reflected in the price.

The tone has shifted from a smooth upward drift to a more selective market that is rewarding execution but punishing any sign of multiple fatigue.

Against that backdrop, we ran Amazon through an artificial intelligence price-prediction agent powered by OpenAI’s GPT.

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The model generated a 30-day outlook based on recent trading action and a focused set of technical indicators. At the time of the run, Amazon was trading at $233.89. For the period from Dec. 1 through Dec. 31, the model’s base-case projection came out to:

• Average predicted price: $235.00

• Implied move: about 0.47% higher

• Signal snapshot: MACD negative, RSI in the high 40s

The forecast points to a slight move higher as Amazon works through a period of consolidation. Momentum is soft, but not deteriorating, and the indicators point to balance rather than a directional trend.

MACD is below its signal line after several weeks of tightening, indicating a market waiting for a cleaner catalyst. RSI in the high 40s shows a stock neither stretched nor stressed. The model reads the setup as neutral with a mild upward bias.

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Still, broader AI price prediction says that Amazon could hit $297 by 2030.

For investors looking to position around that longer-term outlook, SoFi offers a straightforward way to buy AMZN with no commissions. New users can receive up to $1,000 in stock when they fund their account, plus a 1% bonus for transferring investments and keeping them there through Dec. 31.

Amazon’s business has regained momentum. Third-quarter revenue rose about 13% year over year to roughly $180 billion, with net income more than doubling as efficiency gains continue to flow through the P&L. Amazon Web Services grew about 20%, its fastest clip since 2022, driven by AI workloads and a multiyear OpenAI deal that reinforces Amazon’s position in the core infrastructure layer of the AI cycle.