Apple (NASDAQ: AAPL) could rise to $338 by August 1, 2026, according to predictions made by Finbold’s AI agent.
In particular, this model aggregates predictions from several large-scale language models and machine learning systems.
The forecast suggests an increase of about 17% from Apple’s Friday closing price of $287. This forecast, generated on July 25th, covers the period through August 1st and incorporates technical indicators including the 50-day simple moving average (SMA), the 200-day simple moving average, and other momentum signals.
Among the individual models, GPT-5.6 Terra had the most bullish forecast, predicting Apple stock at $340, representing an increase of 18.42%.
Gemini 3.5 Flash was the most conservative, with a price predicted at $335, while Claude Opus 4.8 was predicted at $338 and Grok 4.5 at $339.
Apple stock fundamentals
The AI forecast was released as investors focus on Apple’s upcoming third-quarter earnings report, scheduled for July 30th.
Several Wall Street firms are maintaining bullish outlooks ahead of the release, citing strong revenue growth and resilient demand across Apple’s ecosystem.
Notably, analysts expect Apple’s earnings per share to be $1.89, up from $1.65 a year ago. Revenue is expected to reach approximately $109 billion, reflecting double-digit annual growth driven by iPhone sales, services revenue, and the continued strength of the company’s broader ecosystem.
The consensus forecast follows a strong fiscal second quarter in which Apple reported revenue of $111.18 billion and earnings per share of $2.01, beating analyst expectations on both metrics.
The earnings release could be especially important as Apple stock has rebounded strongly from a correction in June.
The technology company regained momentum during July, briefly reclaiming the title of the world’s most valuable publicly traded company by market capitalization, before investors turned their attention to upcoming earnings reports.
Market participants are also closely monitoring management’s comments regarding investments in artificial intelligence, which have become a major driver of sentiment across the technology sector.
Recent earnings reports from large technology companies indicate that investors remain sensitive to increased AI-related capital spending, even if revenue and profit results beat expectations.
