From Memory to Operating Systems, Prices Are Climbing: Microsoft's Windows License Fees Rise 7% to 10%, Global PC Shipments Could See First Decline in Nearly a Year

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The cost of AI data centers hoarding memory chips has already sparked what some call "chipflation," and now Microsoft is adding fuel to the PC industry's fire with higher Windows license fees. According to industry executives cited in reports, since July, Microsoft has raised Windows OEM license fees for some partners by 7% to 10%, a notably larger increase than in previous years.

Acer and Asus have confirmed another round of price hikes this quarter of roughly 5%, even as research firms predict the first year-over-year decline in global PC shipments since early 2025. Reports indicate that Microsoft has increased Windows OEM license fees for certain PC manufacturers by 7% to 10%, effective from July. Microsoft does not apply a uniform price to all OEMs but instead adjusts fees based on factors like CPU tier; models with i7 processors or higher typically face higher license costs than those with i3 or i5 chips. As a result, the impact varies across brands and product lines.

Where this pressure hits hardest

For PC makers, Windows license fees are an unavoidable fixed cost. Industry executives note that Microsoft raises these fees slightly each year, but this year's increase is notably larger. PC manufacturers were already dealing with rising costs for memory, display panels, batteries, and other components, and the Windows license fee hike adds another expense to pricing decisions. Low-end PCs have thinner profit margins, leaving manufacturers to choose between raising prices, reducing specifications, or accepting slimmer profits—and the higher license fee makes each option more difficult.

Consumers may not notice this specific cost directly. Brands say that component prices are rising so quickly that the license fee increase gets lost in the overall noise of price hikes. Microsoft's own Surface products already reflect cost pressures: the latest Surface Pro and Surface Laptop are priced about $400 to $500 higher than their predecessors. Apple has also raised Mac prices by several hundred dollars due to rising component costs. The key difference is that Windows-based manufacturers must also bear the additional burden of operating system license fees.

PC price surge: another 5% this quarter, some models nearly 30% higher than late last year

Over the past year, the PC industry has faced ongoing memory shortages, driving up the manufacturing costs of laptops and desktops. Some mainstream PCs that previously cost $600 to $800 are now approaching $1,000, while high-end Windows laptops once priced at $1,200 to $1,500 are nearing $2,000. Laptops are likely the most affected, as manufacturers must balance costs for memory, display panels, batteries, processors, and slim designs simultaneously. Acer and Asus have both confirmed another round of price increases this quarter, around 5%. Asus also disclosed that certain products are now nearly 30% more expensive compared to the fourth quarter of last year.

In the mainstream market, price increases are particularly challenging for manufacturers: low-cost models have less room to absorb added costs, leaving companies to raise prices, cut features, or accept lower margins. Counterpoint Research estimates that global PC shipments in the second quarter of 2026 will be approximately 65 million units, down 4% year-over-year, marking the first annual decline since early 2025. While AI PCs and the Windows migration cycle are still driving some replacement demand, persistently rising prices are curbing consumer appetite.

Chipflation spreads from data centers to consumer devices

Underlying the PC price surge is a fundamental imbalance in the memory chip market. Morgan Stanley has dubbed this phenomenon "chipflation": memory chips no longer become cheaper over time; instead, they are getting more expensive and harder to source. This is not the first time chips have faced pressure. During the pandemic, chip shortages halted automotive production lines and doubled secondary market prices for consumer goods like the Sony PS5, exposing the fragility of the semiconductor supply chain.

More than one trillion memory chips are produced globally each year, used in phones, cars, medical devices, and defense systems, and there are currently no substitutes in mass-produced computing. However, AI data centers have triggered a surge in demand for DRAM and other memory. The five largest U.S. AI companies are expected to spend over $650 billion this year, primarily on data centers, nearly double the amount in 2025. Chipmakers are prioritizing production of higher-margin AI chips, squeezing supply for chips used in phones, laptops, and cars. Building new fabs takes years, and geopolitical tensions, export restrictions, and supply chain fragmentation mean bottlenecks are unlikely to ease soon.

Morgan Stanley estimates that memory prices have risen roughly sixfold over the past year. Apple CEO Tim Cook described this memory cost surge as a "once-in-a-century flood," adding that he has never seen anything like it in four decades in the industry. Tech journalist Mark Gurman commented, "The bill for the AI era has officially landed on Apple users." Analysts expect supply chain tightness to persist through the second half of the 2020s, as AI servers continue to absorb significant memory capacity. Research firms predict that global PC and smartphone shipments will contract noticeably this year, with high prices curbing demand and extending replacement cycles. BlackRock believes that chips are becoming a key strategic asset in the AI economy era. Governments and companies are not only competing with each other but also vying for the same scarce resources against broader economic sectors. The test of the AI revolution is whether it can build more powerful model infrastructure without passing costs directly or indirectly to the overall economy. A report co-published by the World Economic Forum and Accenture also warns that AI is driving a new wave of innovation and growth, but to fully unlock its potential, the key lies in building and managing AI systems to maximize benefits while minimizing risks to humans, society, and the environment.

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