Apple (NASDAQ: AAPL) has the potential to climb to $338 by August 1, 2026, according to a forecast generated by Finbold’s AI Agent.
Notably, the model aggregates predictions from several large language models and machine learning systems.
The forecast implies a gain of about 17% from Apple’s Friday closing price of $287. Generated on July 25, the prediction covers the period through August 1 and incorporates technical indicators including the 50-day simple moving average (SMA), 200-day simple moving average, and other momentum signals.

Among the individual models, GPT-5.6 Terra delivered the most bullish forecast, projecting Apple stock at $340, representing an 18.42% increase.
Gemini 3.5 Flash was the most conservative, forecasting a price of $335, while Claude Opus 4.8 projected $338 and Grok 4.5 predicted $339.

Apple stock price fundamentals
The AI forecast arrives as investors focus on Apple’s upcoming fiscal third-quarter earnings report, scheduled for July 30.
Several Wall Street firms have maintained bullish outlooks ahead of the release, citing strong revenue growth and resilient demand across Apple’s ecosystem.
Notably, analysts expect Apple to post earnings per share of $1.89, up from $1.65 in the same quarter a year earlier. Revenue is projected to reach approximately $109 billion, reflecting double-digit annual growth driven by continued strength in iPhone sales, Services revenue, and the company’s broader ecosystem.
The consensus estimates follow a strong fiscal second quarter, when Apple reported revenue of $111.18 billion and earnings per share of $2.01, exceeding analyst expectations on both metrics.
The earnings release could prove particularly important because Apple stock has recovered strongly from a June correction.
The technology company regained momentum during July and briefly reclaimed the title of the world’s most valuable publicly traded company by market capitalization before investors shifted their focus to the upcoming earnings report.
Market participants are also closely monitoring management’s commentary on artificial intelligence investments, which have become a major driver of sentiment across the technology sector.
Recent earnings reports from large-cap technology companies have shown that investors remain sensitive to rising AI-related capital expenditures, even when revenue and profit results exceed expectations.