Memory chips to take 68% of AI capex by 2027 as prices surge

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Reviewed by
Shriram SScanX News Team
Key Highlights
  • Memory chips projected to consume 68% of AI capex for top cloud providers in 2027, up from 47% in 2024
  • Total capex for nine largest providers estimated to reach $1.383 trillion in 2027 from $272 billion in 2024
  • Server DRAM prices expected to rise 270% in 2026, while enterprise SSD prices could gain 235%
  • Micron Technology trades 26% below June highs despite bullish analyst consensus and $1.303 average price target
  • Cloud providers may reduce memory capacity per system or shift to custom chips to manage rising costs
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*this image is generated using AI for illustrative purposes only.

Memory chips are projected to consume 68% of the capital expenditure for the world's nine largest cloud service providers in 2027. This represents a significant increase from the 47% share recorded in 2024, according to market research firm TrendForce.

The total addressable market for this spending is expanding rapidly. TrendForce estimates combined spending by these providers at $272 billion in 2024, rising to $466 billion in 2025, $922 billion in 2026, and $1.383 trillion in 2027.

Price Drivers Behind the Shift

The increasing share of memory in total capex is driven by rising component prices rather than just volume growth. Server DRAM contract prices rose a cumulative 64% in the second half of 2025. TrendForce expects a further 270% increase across 2026.

Enterprise solid-state drive prices, representing the NAND flash segment, rose about 35% in the second half of 2025 and are projected to gain 235% in 2026. High-bandwidth memory (HBM), critical for AI accelerators, could see price increases of 70% to 140% in 2027.

What the Numbers Show

Applying the projected 68% memory share to the $1.383 trillion total capex forecast for 2027 implies approximately $940 billion will be directed specifically toward memory components in that single year. This concentration highlights memory as the dominant cost center in AI infrastructure buildouts.

Market Response and Risks

As memory absorbs a larger portion of budgets, cloud providers may respond by reducing memory capacity per system, reworking RDIMM configurations, or shifting toward custom AI chips with hardwired model architectures. Higher memory costs also provide suppliers like Nvidia Corp justification to raise their own prices.

Micron Technology Inc trades 26% below its June record high. Analyst consensus remains bullish, with 27 analysts rating the stock as Buy and an average price target of $1,303. This target sits roughly 40% above the recent close of $932.97. Micron has already more than tripled this year and crossed a $1 trillion market value.

Date Firm Price Target Action Rating
Aug 25, 2026 Mizuho $1,375 → $1,300 PT Cut Outperform
Aug 14, 2026 New Street Research $1,250 Upgrade Neutral → Buy
Aug 7, 2026 Citigroup $1,400 → $1,150 PT Cut Buy
Jul 14, 2026 Keybanc $1,600 → $1,750 PT Raise Overweight
Jun 29, 2026 Cantor Fitzgerald $1,500 → $2,000 PT Raise Overweight
Jun 25, 2026 Barclays $1,175 → $2,000 PT Raise Overweight

Source: Benzinga Analyst Ratings

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

How might the projected 270% surge in server DRAM prices in 2026 force cloud providers to alter their AI infrastructure scaling strategies?

Will the rising cost of memory components lead to a consolidation of the cloud service provider market as smaller players struggle with capital intensity?

To what extent will custom AI chips with hardwired architectures mitigate the impact of soaring HBM and DRAM costs by 2027?

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Micron promotes Bhatia, DeBoer to lead AI memory strategy

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Reviewed by
Ashish TScanX News Team
Key Highlights
  • Manish Bhatia appointed president and COO of Micron Technology Inc
  • Dr. Scott DeBoer named president and chief technology and products officer
  • Appointments effective immediately to strengthen AI memory execution
  • Sumit Sadana transitions to Senior Advisor to the CEO role
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*this image is generated using AI for illustrative purposes only.

Micron Technology Inc (NASDAQ: MU) has promoted Manish Bhatia and Dr. Scott DeBoer to expanded leadership roles aimed at accelerating its artificial intelligence memory strategy. The appointments take effect immediately.

Bhatia assumes the role of president and chief operating officer. He will oversee global operations and business units with accountability for the operating profit and loss statement. His scope includes capital investment, manufacturing execution, customer demand, pricing and delivery.

DeBoer is appointed president and chief technology and products officer. He will lead the memory and storage roadmap and oversee Micron Research Labs. The lab focuses on breakthrough memory and compute technologies for the next decade.

Executive Transition

Sumit Sadana transitions from executive vice president and chief business officer to Senior Advisor to the CEO. Sanjay Mehrotra, chairman and CEO, thanked Sadana for deepening customer partnerships and shaping strategy for the AI era.

Leadership Background

Bhatia joined Micron in 2017. He has led global operations including manufacturing, supply chain and quality. Under his tenure, the company built a technology-enabled operating model focused on smart manufacturing.

DeBoer joined Micron in 1995. He led the development of 15 technology nodes. He also expanded technical partnerships with customers and suppliers to deliver differentiated solutions at scale.

What the Numbers Show

The restructuring separates operational execution from product innovation. Bhatia’s mandate covers P&L and manufacturing while DeBoer focuses on R&D and roadmap. This split aligns leadership directly with the dual drivers of AI demand: supply capacity and technological differentiation.

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

How might the separation of operational execution and R&D leadership impact Micron's speed to market for next-generation AI memory solutions?

What specific capital investments does Manish Bhatia plan to prioritize to meet the surging demand for AI-driven memory capacity?

Which breakthrough technologies from Micron Research Labs is Dr. Scott DeBoer expected to accelerate for commercialization in the next 12-24 months?

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