Gartner's 2026 PC Market Warning: AI Demand Is Making Computers Costlier

Gartner has cut its 2026 PC market outlook, forecasting a 10.4% shipment decline as soaring memory costs force manufacturers to raise prices. The warning captures an uncomfortable reversal. AI was supposed to make personal computers more compelling, but AI infrastructure is making their components harder to secure.

IDC is even more pessimistic. It expects worldwide PC shipments to fall 11.3% for the full year, despite growth during the first quarter. That early strength reflected purchases pulled forward before expected shortages and price increases, rather than a durable recovery.

The central contest is no longer simply Windows versus macOS, or one processor brand against another. It is AI data centers versus personal computers for limited DRAM and NAND manufacturing capacity. Cloud companies can justify higher component costs, while PC makers serve buyers who often postpone upgrades when prices rise.

The PC Recovery Reversed After One Quarter

The apparent recovery at the beginning of the year was demand borrowed from later quarters.

Global PC shipments reached 63.3 million units in the first quarter, according to Counterpoint Research. That represented 3.2% year-over-year growth. Buyers accelerated purchases because they expected memory-related price increases and limited availability later in the year.

The timing also reflected the Windows replacement cycle. Microsoft ended general Windows 10 support on October 14, 2025, pushing organizations toward supported Windows 11 hardware. Many older computers cannot meet Windows 11 requirements, making replacement the practical option for some users.

Those forces produced an unusually strong opening quarter. However, they did not create more memory capacity or reduce manufacturing costs. They moved orders forward, leaving fewer planned purchases for the rest of the year.

IDC now expects conditions to deteriorate progressively through the fourth quarter. Its shipment forecast projects a 20% year-over-year decline during that quarter. The full-year decline would reach 11.3%.

That sequence matters because quarterly shipment growth can disguise weakening underlying demand. A company buying laptops in March instead of September appears as new growth in March. It also removes the same order from the later quarter.

Consumer behavior follows a similar pattern. Someone planning a replacement might buy before a widely anticipated increase. Once that purchase happens, the household usually leaves the market for several years.

The result is a split market. Vendors can report respectable revenue because average selling prices are rising, even while they sell fewer systems. IDC expects PC revenue to grow 1.6% despite the projected unit decline.

Revenue stability therefore does not indicate broad market health. It reflects a smaller pool of purchases shifting toward costlier products. The people leaving the market are most likely to be price-sensitive consumers, small businesses, and organizations extending existing hardware.

Gartner expects replacement cycles to lengthen as a consequence. It projects business PC lifetimes will increase by 15%, while consumer lifetimes will increase by 20% by year-end.

Longer ownership can reduce immediate spending, but it creates operational tradeoffs. Older batteries, storage devices, and cooling systems become more likely to fail. Organizations must also maintain aging hardware across increasingly fragmented fleets.

Security presents another concern. Windows 10 computers still operate after general support ended, but they no longer receive ordinary security fixes. Microsoft offers temporary extended coverage, yet that only postpones the replacement decision.

The early growth was real, but its meaning was easy to misread. The market did not escape the shortage. Buyers simply reached the checkout before its full effects arrived.

Why the 2026 Memory Shortage Hits PCs So Hard

PC makers are losing a capacity contest against customers that can pay more for every unit of memory.

DRAM provides a computer's working memory, while NAND flash stores data inside solid-state drives. Both components depend on specialized fabrication capacity that cannot expand quickly. Manufacturers must plan new production lines years before the resulting chips reach customers.

AI infrastructure has changed how that capacity gets allocated. Cloud providers and server manufacturers need large volumes of memory for training and running AI models. Their systems also require high-performance products with stronger margins than ordinary PC components.

Memory producers therefore have clear incentives to prioritize server demand. Even when consumer and server products use different specifications, they compete for investment, fabrication equipment, engineering resources, and portions of shared production infrastructure.

IDC describes the problem as structural rather than temporary. Its memory outlook says AI infrastructure demand is competing with consumer devices for DRAM and NAND capacity. It expects the supply challenge to persist through this year and well into 2027.

The imbalance has given suppliers greater pricing power. TrendForce projected conventional DRAM contract prices would rise 90% to 95% quarter over quarter during the first quarter. It expected NAND flash contract prices to increase 55% to 60%.

PC-specific pressure was even greater. TrendForce said PC DRAM contract prices were expected to more than double during the quarter. Its contract-price forecast also noted that major PC manufacturers were experiencing declining inventories despite securing supplier allocations.

These are component-level changes, not equivalent increases in a finished computer's retail cost. A laptop also contains a processor, display, battery, chassis, networking hardware, and many other parts. Manufacturers can adjust configurations or absorb part of an increase.

Their flexibility has limits. Gartner estimates combined DRAM and SSD prices will rise 130% by year-end compared with the previous year. It expects that increase to lift average PC prices by 17%.

Memory's share of a typical PC bill of materials is also increasing. Gartner expects it to rise from 16% in 2025 to 23% by the end of the year. Once a component occupies almost one-quarter of manufacturing cost, small configuration changes cannot neutralize the pressure.

A vendor might install less memory, use a smaller drive, or promote higher-margin models. Each option carries a penalty. Lower specifications make a new computer less attractive, while premium positioning excludes more buyers.

Reducing memory is especially awkward during an AI PC sales push. On-device AI features need sufficient working memory, fast storage, and capable processors. Marketing a new generation while reducing practical capacity would expose the gap between the industry's message and its supply reality.

The shortage also affects graphics cards and gaming computers. Graphics processors need dedicated memory, and enthusiast systems often include more DRAM and storage than mainstream laptops. Those requirements increase their exposure to the same supply constraints.

Large manufacturers have some protection. They can negotiate long-term contracts, commit to greater volumes, and spread costs across wider product portfolios. They may also receive priority because suppliers value predictable demand.

Smaller manufacturers cannot bargain from the same position. They face higher acquisition costs, uncertain allocations, and less room to absorb changes. IDC expects the shortage to shift market share toward the largest global vendors.

The mechanism is therefore more consequential than a normal component cycle. AI investment is not merely adding demand for computers. It is redirecting capital and production toward infrastructure, then passing the resulting scarcity back to PC buyers.

AI Data Centers Versus the Personal Computer

The defining hardware conflict is between centralized AI infrastructure and affordable local computing.

AI companies increasingly run models inside enormous data centers. These facilities combine accelerators, networking equipment, storage, and several categories of memory. Each expansion consumes components that might otherwise support phones, PCs, consoles, or conventional servers.

This does not mean a server memory module can always replace laptop memory directly. Product designs, packaging, validation, and performance requirements differ. The competition happens through production priorities and capital allocation as much as interchangeable inventory.

Memory manufacturers follow returns. When AI infrastructure customers sign large commitments and accept higher costs, expanding server-oriented capacity becomes more attractive. Consumer hardware then receives a smaller share of attention during an already constrained cycle.

PC companies are responding by promoting local AI processing. An AI PC generally includes a neural processing unit, or NPU, designed to run selected machine-learning workloads efficiently on the device. Local processing can improve latency, privacy, and offline availability.

Yet the category faces a contradiction. More capable local workloads often need additional memory. The same AI boom that supports the product story is raising the cost of delivering an adequate configuration.

Gartner expects higher prices to delay AI PC adoption. It previously anticipated the category would reach 50% market penetration sooner, but now places that milestone in 2028. Buyers need a clear benefit before accepting a costlier replacement.

That benefit remains uneven. Video effects, transcription, image generation, search, and assistance can use local acceleration. However, many popular AI services still perform their most demanding work in the cloud.

A knowledge worker might use an NPU for background noise removal while sending a complex research request to a remote model. The computer is technically an AI PC, but its local hardware did not determine the most valuable part of the experience.

Enterprise buyers are equally cautious. They evaluate application compatibility, security controls, support periods, and manageability before deploying a new platform. An AI label alone does not shorten that process.

Developers face another fragmentation problem. Different processors expose different acceleration frameworks, memory limits, and performance characteristics. Supporting them requires testing, while cloud execution offers a more consistent target.

These conditions favor a hybrid model. Smaller or privacy-sensitive tasks run locally, while demanding work remains in data centers. That approach still requires capable endpoints, but it does not guarantee immediate demand for every premium AI configuration.

The pressure is sharper at the affordable end of the market. Low-cost systems operate with narrow margins, leaving vendors little room to absorb memory inflation. Manufacturers can remove features, reduce capacity, or leave the segment.

Gartner says rising memory costs will concentrate demand on premium products. Its device warning projects the steepest device shipment contraction in more than a decade.

That shift changes what product competition means. Manufacturers once used larger drives and more memory to make affordable computers feel more capable. Scarcity reverses the incentive, encouraging restricted configurations or wider gaps between basic and premium devices.

Repair and upgrade options may gain importance as a result. A desktop owner can sometimes replace individual components instead of purchasing an entire system. Many thin laptops offer little or no comparable flexibility.

Used and refurbished computers also become more attractive when new systems move upward. Commercial fleets can supply durable models to secondary markets after planned refreshes. However, compatibility with supported operating systems remains essential.

Centralized AI infrastructure currently wins the capacity contest because its customers can support greater spending. The open question is whether PC vendors can make local AI valuable enough to protect endpoint demand without pricing ordinary buyers out.

Higher Revenue Cannot Hide a Smaller Market

A market can collect more revenue while serving fewer people, and that is the central risk in the current PC cycle.

IDC's forecast illustrates the distinction. It expects worldwide PC shipments to decline 11.3%, while revenue increases 1.6%. Average selling prices, or ASPs, account for the difference.

An ASP is the average revenue collected for each unit sold. It can rise because manufacturers increase prices, sell richer configurations, or lose more entry-level sales than premium sales. Each factor is present in the current market.

For investors, stable revenue may look reassuring. Major manufacturers can protect margins by focusing on commercial systems and premium consumers. They can also use scale to negotiate better component access.

For the broader market, the picture is less comfortable. Lower unit volume means fewer people and organizations replace aging devices. It can also reduce the installed base available for new software, accessories, and services.

PC brands do not experience this pressure equally. Lenovo, HP, Dell, Apple, Asus, and Acer serve different combinations of consumer, commercial, regional, and premium demand. Their supplier contracts and inventory positions also vary.

Apple offers a particularly important competitive reference because it controls hardware, operating systems, and much of its processor roadmap. That integration creates opportunities to optimize memory use and product positioning across fewer configurations.

Windows manufacturers offer broader choice, but that breadth becomes harder to maintain during a shortage. Every screen size, processor, memory level, and storage combination adds forecasting and procurement complexity.

IDC expects vendors to struggle with full product portfolios as memory constraints continue. Manufacturers may concentrate available components on configurations with predictable demand and healthier margins. Less common models can disappear even when they still have loyal users.

The effect extends beyond headline prices. Promotions can become less generous, delivery times can lengthen, and preferred configurations can remain unavailable. Buyers may see a familiar model name paired with reduced memory or storage.

Organizations should therefore compare complete configurations rather than product families. A newer processor does not automatically compensate for inadequate memory. Storage capacity also matters when teams keep large local files or work offline.

The skeptical case is that forecasts can change. Memory markets have a history of shifting between shortage and oversupply as manufacturers adjust capacity and customers modify orders. A recession or slowdown in AI investment could weaken demand faster than expected.

Chinese memory suppliers could add another source of relief. IDC expects smaller manufacturers in China to contribute additional capacity. However, it does not expect that supply to change the near-term trajectory meaningfully.

Trade restrictions and qualification requirements complicate that route. A component suitable for one regional product may not be approved for another. Large enterprise customers also require extensive reliability and security validation.

Demand destruction can eventually rebalance the market. If enough PC buyers delay purchases, manufacturers order fewer components. That response can reduce pressure, but it does so by shrinking the device market rather than expanding supply.

Forecasts also differ at the margins. Gartner expects a 10.4% shipment decline, while IDC projects 11.3%. The gap is less important than their shared conclusion that memory inflation is producing a severe contraction.

The first quarter showed why readers should treat individual data points carefully. Counterpoint's first-quarter shipments recorded 3.2% growth. IDC later described similar strength as purchases pulled forward from future periods.

Neither measurement is necessarily wrong. They answer different questions. One measures what shipped during a quarter, while the other interprets whether that volume can continue.

The greatest uncertainty concerns duration. New fabrication capacity, weaker demand, product redesigns, or slower AI infrastructure expansion can improve the balance. Yet none provides immediate relief.

Buyers should therefore avoid two extreme assumptions. Current increases do not prove computers will become permanently unaffordable. They also do not resemble a brief retail promotion cycle that will reliably reverse next quarter.

Windows Upgrades Now Carry a Harder Tradeoff

The memory shortage arrived precisely when millions of Windows users faced pressure to replace or update older computers.

Microsoft ended standard Windows 10 support on October 14, 2025. Unsupported computers continue functioning, but they no longer receive normal operating-system security fixes or technical support.

The company recommends upgrading eligible devices to Windows 11. It suggests replacing devices that cannot meet the newer system's requirements or using Extended Security Updates during the transition.

Microsoft's current support policy says consumer extended updates can protect eligible Windows 10 devices until October 12, 2027. That extension gives users more time, but it does not eliminate the eventual decision.

For an individual, the choice depends on hardware condition and software requirements. A reliable computer that supports Windows 11 may need only a software upgrade. An incompatible device in good physical condition presents a harder calculation.

Businesses face a portfolio problem rather than one purchase. They must identify unsupported systems, assess application compatibility, schedule migrations, and preserve user data. Component inflation can disrupt budgets created before the shortage intensified.

Extending device life carries risks beyond security patches. Batteries degrade, storage devices accumulate wear, and replacement parts become harder to source. Older machines may also consume more support time.

Replacing everything immediately has costs as well. A rushed procurement can lock an organization into weak configurations or unfavorable supply terms. It can also create deployment bottlenecks for IT teams.

A staged refresh becomes the practical response. Security-sensitive and mission-critical users receive priority, while lower-risk systems remain under temporary coverage. Organizations can then group purchases around available configurations.

Buyers should focus on workload requirements rather than an AI badge. Office work, browser-heavy workflows, software development, media production, and engineering applications place different demands on memory and storage.

Memory is especially difficult to correct later in laptops with soldered components. A configuration that feels adequate during light testing may struggle after additional applications, browser tabs, and security tools accumulate.

Storage presents a similar issue. Cloud services reduce some local requirements, but operating systems, application caches, offline files, and development environments still consume capacity. A smaller drive can become an operational constraint long before the processor feels old.

Consumers can use the same logic. A functioning computer does not need replacement solely because the market is promoting a new category. Support status, repairability, battery health, and actual workload matter more.

However, delaying without a security plan is not a neutral choice. Unsupported systems can expose personal information, business credentials, and connected services. Temporary updates should be treated as a transition mechanism.

The current cycle therefore rewards planning more than novelty. Buyers who know their minimum requirements can reject underconfigured systems and avoid unnecessary premium features. Buyers who wait without a plan risk purchasing whatever remains available later.

This tradeoff also pressures Microsoft and its hardware partners. They need the Windows refresh to continue, but aggressive replacement messaging meets a market where component scarcity raises the entry barrier.

AI features cannot resolve that tension alone. Vendors must demonstrate useful applications while maintaining acceptable memory, storage, battery life, and support. Otherwise, customers will keep older devices longer, exactly as Gartner predicts.

Three Signals Will Decide What Happens Next

Memory supply, fourth-quarter shipments, and practical AI PC adoption will determine whether the contraction deepens or begins to stabilize.

The first signal is memory contract pricing. Slower quarterly increases would indicate that supplier capacity and customer demand are moving toward balance. Continued acceleration would strengthen the case for further PC price increases and narrower product ranges.

Contract prices matter more than isolated retail listings because large manufacturers purchase through negotiated agreements. Those agreements influence future production costs, configuration choices, and promotional flexibility.

The second signal is fourth-quarter shipment performance. IDC expects a 20% year-over-year decline, making that quarter a direct test of the pull-forward thesis. A materially smaller decline would weaken the bleakest forecast.

A result near the projection would confirm that early purchases masked a much softer second half. It would also suggest the Windows replacement cycle cannot overcome component inflation.

The third signal is adoption based on actual local AI use. Shipment labels alone are insufficient because many new processors now include NPUs by default. The more meaningful evidence will come from applications that users repeatedly run on-device.

Useful local workloads would help vendors defend richer configurations. Weak engagement would make AI PC marketing look disconnected from the reasons buyers accept higher costs.

Software support will shape that outcome. Developers need stable frameworks and a large enough installed base to justify optimization. Hardware vendors must provide drivers, tools, and predictable performance across product generations.

Memory manufacturers will remain central. Additional capacity takes time, and producers must decide how much investment belongs in conventional DRAM, NAND, and AI-oriented products. Overbuilding one category can create another imbalance later.

Large PC vendors may preserve availability through contracts, but that does not guarantee affordability. Their likely response combines higher average prices, fewer entry-level configurations, and greater emphasis on commercial or premium systems.

Smaller brands face a more direct test. If they cannot secure components on workable terms, they must reduce shipments or narrow regional availability. That would increase concentration among established manufacturers.

Buyers should watch configurations as closely as prices. A stable product price accompanied by less memory or storage still represents a deterioration in value. Comparing specifications across model years can expose that change.

Organizations planning purchases should map devices by support status and workload. They can then prioritize systems where failure, incompatibility, or security exposure creates the greatest cost. This reduces dependence on a single purchasing window.

Consumers have a simpler decision tree. Upgrade an eligible system when it remains reliable, repair it when the economics make sense, or replace it with enough capacity for several years.

The 2026 market is not collapsing because people stopped needing computers. It is contracting because the AI infrastructure boom changed which customers receive scarce components and what they must pay indirectly.

That distinction will shape the recovery. A conventional demand slump can reverse when confidence improves. A capacity conflict requires new supply, reduced infrastructure demand, or product designs that use memory more efficiently.

For now, the strongest evidence points toward fewer shipments, higher average costs, and longer replacement cycles. The optimistic first quarter did not disprove that outlook. It showed how quickly informed buyers moved before conditions worsened.

The next few months will reveal whether memory inflation starts losing momentum. Until then, buyers should define their requirements early, verify operating-system support, and judge AI features through real workloads. What would justify replacing your current computer before supply conditions improve?