apple (NASDAQ: Image of AAPL) has the potential to rise to $338 by August 1, 2026, according to a forecast made by Finbold’s AI assistant.
In particular, the model combines predictions from several major linguistic models and machine learning algorithms.
The forecast suggests a gain of about 17% from Apple’s Friday closing price of $287. Created on July 25, the forecast covers the period until August 1 and includes technical indicators including the 50-day simple moving average (SMA), about 200 moving days, and other fast indicators.
Among the individual models, GPT-5.6 Terra gave the strongest predictions, showing Apple stock at $340, representing an increase of 18.42%.
The Gemini 3.5 Flash was the most stable, with a predicted price of $335, while the Claude Opus 4.8 suggested $338 and the Grok 4.5 predicted $339.
Apple tree essentials
AI predictions are coming as money take a look at Apple’s upcoming third-quarter earnings report, scheduled for July 30.
Several Wall Street firms have maintained a positive outlook ahead of the release, citing strong economic growth and steady demand for Apple’s ecosystem.
Specifically, analysts expect Apple to post earnings per share of $1.89, up from $1.65 in the same quarter last year. Revenue is expected to reach approximately $109 billion, showing double-digit annual growth driven by continued iPhone sales, Services revenue, and the company’s overall ecosystem.
The consensus estimate follows the second quarter, when Apple reported revenue of $111.18 billion and earnings per share of $2.01, beating analysts’ expectations on both metrics.
The earnings release may be more important because Apple stock has recovered significantly from June’s correction.
The art the company regained traction in July and briefly took the title of the world’s most traded company by market capitalization before investors changed their minds to the upcoming report.
Market participants are also paying close attention to management’s comments on artificial intelligence, which has led to widespread interest in the technology.
Recent reports from major technology companies have shown that investors remain concerned about the rise of AI-related investments, even though revenue and profit results are exceeding expectations.
