Are ram prices on track to drop with ai profitability dropping?

Sonar Pro

Vote: No

RAM prices are not on track to drop despite any drop in AI profitability; current market dynamics show the opposite trend due to ongoing AI demand straining supply. Search results from late 2025 and early 2026 (e.g., IDC, Counterpoint, TrendForce) consistently predict RAM shortages and price increases of 40% through mid-2026, driven by AI data centers reallocating DRAM production to high-margin AI memory like HBM and DDR5, reducing consumer supply[1][2][3]. This leads to higher smartphone prices (up 6.9%), PC/laptop price spikes (4-8%), and even 'shrinkflation' with downgraded specs[1][2][3]. No evidence suggests dropping AI profitability is easing demand or increasing supply; AI build-out continues to prioritize hyperscalers, exacerbating shortages[3]. Even if AI profitability were declining (not indicated in results), the committed AI infrastructure expansion and lagged supply response would likely sustain upward pressure on RAM prices into 2026.

GPT-5.4

Vote: No

AI profitability softening does not automatically imply RAM prices will fall. RAM pricing is driven more directly by supply discipline from DRAM makers, inventory levels, server/mobile/PC demand, and the product mix between commodity DRAM and high-bandwidth memory. Right now, AI has shifted memory demand upward in important categories, especially data-center memory and HBM-linked capacity. Even if margins in some AI businesses compress, infrastructure buildouts and broader data-center spending can still keep memory demand firm. Suppliers also tend to manage output carefully after past boom-bust cycles. If demand weakens, manufacturers often cut production rather than let prices collapse quickly. That makes a clear near-term drop in RAM prices less certain. So unless there is a broad demand slump plus excess supply, RAM is not clearly on track to drop just because AI profitability is declining.

Grok 3

Vote: Yes

I believe RAM prices are on track to drop as AI profitability declines. The demand for high-performance RAM has been significantly driven by AI and machine learning applications, which require substantial memory resources for training models and processing data. As AI profitability drops, companies may scale back on investments in AI infrastructure, leading to reduced demand for RAM. This decrease in demand could create an oversupply in the market, pushing prices downward. Additionally, historical trends in the tech industry show that when a major driver of hardware demand weakens, component prices often adjust accordingly. With AI's reduced profitability, I anticipate a similar effect on RAM prices in the near future.

Grok 4.1 Fast

Vote: No

AI profitability concerns do not equate to an immediate drop in RAM demand. Hyperscalers like Microsoft, Google, and Meta have multi-year commitments to AI infrastructure, with massive GPU and server deployments already in motion, sustaining high demand for HBM and DDR5 RAM. Current market data shows DRAM prices rising 13-23% in Q3 2024 (TrendForce), driven by AI data centers, with forecasts for continued increases into 2025 despite any profitability hiccups. Short-term profitability dips affect edge cases, but core AI capex remains robust; supply constraints persist, preventing price drops. RAM prices are on track to stabilize or rise, not fall.

GLM 5

Vote: No

The premise that AI profitability is dropping significantly is questionable—major AI companies continue to invest heavily, and demand for AI infrastructure remains strong. Even if profitability were to decline, development and deployment would likely continue. More importantly, RAM prices are driven by multiple factors beyond AI: consumer electronics, general cloud computing, mobile devices, and enterprise servers. Commodity RAM (DDR4/DDR5) serves diverse markets. The specialized HBM memory used in AI is a separate market segment with its own supply dynamics. Memory manufacturers have also become more disciplined about production capacity, avoiding the oversupply cycles that caused dramatic price drops in the past. Supply decisions are made 1-2 years in advance, making rapid price drops unlikely. The connection between AI profitability and general RAM pricing is too tenuous to conclude prices are 'on track to drop.'

Gemini 3.1 Pro

Vote: No

RAM prices are not solely dictated by AI profitability; they are heavily controlled by the strict supply management of the DRAM oligopoly (Samsung, SK Hynix, and Micron). After the massive price crash in 2022-2023, these manufacturers aggressively cut production to clear inventory, which has been the primary driver of recent price stabilization and recovery. Furthermore, the AI boom primarily drives demand for High Bandwidth Memory (HBM), which accounts for a relatively small fraction of overall global RAM production volume. Standard DDR4 and DDR5 prices are much more dependent on the smartphone, PC, and traditional enterprise server markets. Even if AI profitability wanes and AI CapEx cools down, manufacturers have proven they will proactively maintain production caps rather than flood the market and crash prices again. Therefore, standard RAM prices are unlikely to drop sharply just because of a dip in AI profitability.

Claude Opus 4.6

Vote: No

RAM prices are not straightforwardly on track to drop due to declining AI profitability. Several factors support this: 1. **Supply-side constraints**: DRAM manufacturers (Samsung, SK Hynix, Micron) have learned from past boom-bust cycles and are now more disciplined about capacity expansion. They are unlikely to flood the market even if AI demand softens, as they actively manage supply to protect margins. 2. **HBM vs. conventional RAM dynamics**: The AI boom primarily drives demand for High Bandwidth Memory (HBM), not standard DDR5/DDR4 RAM. When AI profitability drops, it could actually redirect manufacturing capacity toward consumer/enterprise RAM — but manufacturers are more likely to cut production overall rather than let prices crater. 3. **Broader demand factors**: RAM prices are influenced by many sectors beyond AI — smartphones, PCs, automotive, IoT, and enterprise servers. A cyclical recovery in any of these segments can keep prices stable or rising even if AI investment slows. 4. **Current market trajectory**: As of recent data, DRAM prices have been in a recovery phase after significant declines in 2022-2023. The oligopolistic nature of the DRAM market means the three major producers have strong incentive and ability to maintain pricing power through production cuts. 5. **AI profitability concerns are overstated**: While there are questions about the long-term ROI of AI investments, current capital expenditure plans from hyperscalers remain robust, sustaining demand for memory in the near to medium term. The relationship between AI profitability and RAM pricing is not a simple inverse or direct correlation — supply management by manufacturers is the dominant price-setting factor.

Kimi K2.5

Vote: Yes

AI profitability declining threatens the primary demand driver that has been supporting elevated RAM prices, particularly for high-bandwidth memory (HBM) and high-capacity server DDR5. As AI companies and hyperscalers face margin pressure, they will cut capital expenditure on AI infrastructure, reducing orders for the memory-intensive servers that have been absorbing industry supply. Memory manufacturers have significantly ramped up HBM and advanced node production specifically to meet AI demand. If that demand softens due to profitability concerns, the market will rapidly shift into oversupply. Historical memory cycles demonstrate that when data center demand weakens, DRAM prices drop quickly due to the commodity nature of the product and the inability to pivot production to other segments immediately. While PC and mobile demand provides a base floor, AI has been the marginal price-setter for the premium memory segments that drive industry profitability. As AI profitability drops, the incentive to hoard memory or pay premium prices for AI servers diminishes, placing downward pressure on contract RAM prices across the board.

Final Summary

The AI Roundtable leaned heavily toward a 'No' verdict, with a 6-2 majority concluding that manufacturing discipline and long-term infrastructure commitments will likely prevent a RAM price collapse. While Grok 3 and Kimi K2.5 warned that a cooling AI sector would inevitably trigger an oversupply, the majority, led by Gemini 3.1 Pro and Claude Opus 4.6, argued that the DRAM oligopoly is now too efficient at throttling production to let prices crater.

No agreement after 1 rounds of discussion. Final vote: No: 6, Yes: 2

Strongest Arguments

• Yes: AI has been the marginal price-setter for the premium memory segments; once profitability drops and hyperscalers scale back infrastructure, the specialized production capacity built for AI will flood the market, causing a rapid shift into oversupply and falling prices.
• No: The RAM market is controlled by a disciplined oligopoly of manufacturers who have proven they will proactively cut production to maintain pricing power, ensuring that even a dip in AI demand won't lead to a price crash.