Micron Technology (MU) shares have been grinding higher over the past month, powered by explosive AI memory demand and a broader recovery in the memory chip cycle. The focus right now is all about high-bandwidth memory shipments, which traders see as the engine behind sustained pricing strength.
So naturally, someone decided to ask ChatGPT what happens next. We ran Micron through an AI price-prediction model powered by OpenAI's GPT, not to chase some wild long-term moonshot, but to see where a data-driven forecast caps the stock over the next 60 days. Because if any stock has become shorthand for the entire AI infrastructure trade, it's this one.
What the Model Actually Says
The AI agent was tasked with building a 60-day outlook using recent price action and a focused set of technical indicators. When the analysis ran, Micron was trading at $294.37. For the window through March 24, the model's base case came out looking like this:
- Average predicted price: $300.72
- Implied move: slightly higher over the next 60 days
- Signal snapshot: MACD and RSI both skewed positive
Translation: given current momentum and volatility, the most probable path is a modest grind higher rather than any dramatic reset. That said, broader AI price forecasts suggest Micron could eventually hit $500 by 2030 if the AI memory story plays out.
Why Micron Matters Right Now
Micron is riding the AI-driven memory upcycle as a leading supplier of DRAM and NAND, with high-bandwidth memory demand surging for AI accelerators. HBM shipments are ramping hard across hyperscalers, fueling record revenue growth and setting up what looks like multi-year tailwinds.
Supply discipline among memory makers is supporting pricing momentum. DRAM and NAND spot prices are climbing on tight inventories. Recent quarters have highlighted HBM3E production scaling, which is critical for Nvidia's next-generation GPUs amid the ongoing data center buildout frenzy.
The model's tempered upside projection accounts for Micron's stretched valuation after the sharp rally from cycle lows. Trading near multi-year highs, the stock already embeds aggressive growth expectations, leaving limited margin for supply hiccups or any pause in AI spending.




