Windows 11 Copilot now tells you what’s slowing down your PC, while using 1GB RAM itself
Windows 11 Copilot now provides real-time diagnostics on performance bottlenecks while consuming 1GB of RAM. Over 24 mentions were tracked today, with a trend score of 78 rising to 93. Mentions increased 391.67% from the previous day, showing strong momentum. Sources include AppleInsider, Tom's Hardware, and ComputerWorld. The feature is being discussed across 34 sources, indicating broad coverage
Windows 11 Copilot now identifies performance slowdowns in real time
The feature uses 1GB of RAM to deliver diagnostics
Coverage spans 34 sources, including AppleInsider and Tom's Hardware
Windows 11 Copilot now identifies what's slowing down your PC, using 1GB of RAM itself. The feature has gained rapid traction, with 59 mentions today and a 391.67% daily growth
The news
Windows 11 Copilot now includes a feature that identifies what processes are slowing down your PC, offering users real-time insights into performance bottlenecks. The feature operates by analyzing system activity and presenting a clear breakdown of resource-heavy applications or background tasks. However, it uses 1GB of RAM to function—representing a notable consumption for a feature designed to improve user experience. This usage has drawn attention in technical circles, where concerns about system performance and memory efficiency are common.
The feature’s rollout has been met with growing interest, with 59 mentions tracked in the past 24 hours, a 391.7% increase from the previous day. The trend score has climbed to 93, indicating mainstream adoption and public awareness. Sources include major tech outlets like 9to5Google, Tom’s Hardware, and ComputerWorld, as well as Reddit discussions. The momentum stage is now classified as mainstream, with a future confidence level of 10, suggesting strong potential for continued visibility and integration.
A key context for this development is the ongoing global shortage of RAM, which has significantly impacted both smartphone and PC manufacturing. Apple has reportedly tested banned vendor RAM and acquired memory chips for use in Chinese devices, signaling a strategic effort to secure supply chains. Meanwhile, Omdia reports that memory now accounts for up to 64% of the cost of ultra-low-end smartphones (under $99), and up to 59% in devices priced between $100 and $400. This has led to a 22% year-over-year decline in sales of budget phones, with manufacturers either increasing prices or phasing out such models.
Some technical challenges remain. For instance, early attempts to run Linux on the Atari Jaguar—launched in 1993—highlighted severe memory constraints, including a lack of a memory management unit and only 2MB of RAM. While that system is obsolete, it underscores how memory limitations can cripple software performance. In contrast, modern PCs with 32GB of DDR5 RAM, such as the Lenovo Legion Pro 7i with an RTX 5090 GPU, demonstrate how high-end hardware can now support intensive workloads.
Despite the feature’s utility, its 1GB RAM footprint raises questions about efficiency, especially on systems with limited memory. As RAM costs continue to rise, manufacturers are under pressure to balance performance with affordability. The Copilot feature may serve as a diagnostic tool, but its resource demands could limit its viability on lower-end machines. For now, it reflects a broader industry trend: AI features are expanding, but hardware constraints remain a critical factor in their real-world performance.
What happened
Windows 11 Copilot now includes a feature that identifies what processes are slowing down a user’s PC, marking a shift in how the OS provides performance diagnostics. This functionality is powered by the Copilot service, which itself consumes 1GB of RAM—significant for a background AI assistant. The feature emerged in public discourse following a surge in mentions, with 59 reports tracked in a single day, a 391.67% growth from the prior day. The trend score climbed to 93, indicating mainstream adoption and strong public interest. Sources include major tech outlets like 9to5Google, Tom’s Hardware, and ComputerWorld, with AppleInsider highlighting ongoing global RAM shortages as a context for the feature’s development.
The rise in mentions reflects broader industry challenges. RAM costs have increased sharply, with Omdia reporting that memory now accounts for up to 64% of the material cost in ultra-low-end smartphones ($99 or less), and up to 59% in devices priced between $100 and $400. These cost pressures have led to a 22% year-over-year decline in sales of phones under $400. Apple’s recent actions—testing banned vendor RAM and acquiring memory chips for use in Chinese devices—suggest a strategic effort to secure supply amid shortages. This context may explain why Microsoft is enhancing Copilot’s performance monitoring, as real-time system diagnostics could help users manage resource-heavy applications.
While the feature is new, its technical foundation is not without precedent. Historical examples, such as the 1993 Atari Jaguar console, which had only 2MB of RAM and a Motorola 68000 CPU, illustrate how limited memory can severely constrain software performance. Modern systems now face different challenges: AI-driven features demand more memory, and users increasingly rely on tools to understand what’s consuming resources. The Copilot feature directly addresses this by offering transparency—users can now see which apps or background tasks are contributing to slowdowns.
Date
Trend Score
Mentions
Growth
Velocity
2026-07-13
93
59
391.67%
291.67%
2026-07-12
62
12
100.0%
0.0%
2026-07-11
73
6
100.0%
100.0%
2026-07-10
52
3
0.0%
0.0%
2026-07-08
62
2
100.0%
100.0%
A developer who ported Linux to the Atari Jaguar noted the difficulty of working within strict memory limits, including the absence of a memory management unit. While that system was a commercial failure, it underscores how memory constraints shape software viability. Today’s Copilot feature, by contrast, aims to empower users in a world where memory is both abundant and expensive.
“Memory costs have become a serious burden for mid-to-low-end smartphones, contributing to a year-on-year decline of over 22% in the market for smartphones priced below $400.” — 9to5Google, July 7, 2026
The feature’s rollout coincides with a broader industry trend: hardware costs are rising, and users are demanding more insight into system performance. While the 1GB RAM usage of Copilot may raise concerns for users with limited memory, the benefit of identifying performance bottlenecks appears to outweigh the cost in most use cases.
Why the spike
The spike in attention around Windows 11 Copilot’s RAM usage—specifically its consumption of 1GB of system memory—reflects a broader trend in hardware cost pressures. While the feature is designed to help users identify performance bottlenecks, its substantial memory footprint has sparked public scrutiny. This is not an isolated issue; global RAM shortages have driven up costs across consumer electronics, with memory now accounting for up to 64% of the material cost in ultra-low-end smartphones. In the $100–$400 segment, that figure reaches 59%, contributing to a 22% year-over-year decline in sales of budget devices.
The surge in discussion—tracked at 59 mentions with a 391.67% daily growth—has been amplified by multiple tech outlets, including 9to5Google, Tom’s Hardware, and AppleInsider. Apple’s recent actions, such as testing banned RAM suppliers and acquiring memory chips for Chinese devices, underscore a strategic shift to secure supply chains amid ongoing shortages. These developments suggest that RAM is no longer a minor component but a critical bottleneck in manufacturing.
The feature’s 1GB RAM usage stands in contrast to the high-end hardware being promoted in the market. For example, a flagship gaming laptop with 32GB of DDR5 RAM and an RTX 5090 GPU is now available for $3,199, highlighting a growing gap between consumer expectations and available memory capacity. Meanwhile, budget devices are being phased out as memory costs rise, with some manufacturers cutting models below $400 entirely.
A key insight comes from the Atari Jaguar’s 1993 design—featuring only 2MB of RAM and a Motorola 68000 CPU. That system struggled with memory constraints, illustrating how limited RAM can cripple performance. Today’s Copilot feature, while modern, may face similar challenges in low-memory systems, where 1GB is a significant allocation.
The momentum of the topic is now mainstream, with a trend score of 93 and a velocity of 291.67. Sources like Reddit and Tom’s Hardware have driven much of the conversation, with users questioning whether the feature is a useful diagnostic tool or a hidden drain on system resources.
Memory costs have become a serious burden for mid-to-low-end smartphones, contributing to a year-on-year decline of over 22% in the market for smartphones priced below $400." — 9to5Google
This spike is not just about a software feature—it reflects a systemic issue in PC and mobile hardware supply chains. As RAM becomes more expensive and scarce, features that consume significant memory may be seen as unsustainable, especially on devices with limited capacity. The public reaction signals a growing awareness that performance and resource efficiency are now tightly linked to hardware availability.
Background
Windows 11 Copilot now includes a feature that identifies what processes are slowing down a user’s PC, marking a shift in how the operating system interacts with system performance. This functionality operates with a self-reported memory footprint of 1GB of RAM—significant for a feature designed to monitor and advise on performance. The feature has gained traction in public discourse, with 59 mentions in the latest tracking window and a 391.67% growth in mentions over the prior day. The trend score has risen to 93, indicating mainstream adoption, and the momentum stage is now classified as mainstream, with a future confidence level of 10. Sources include major tech outlets such as 9to5Google, Tom’s Hardware, and AppleInsider, with Tom’s Hardware contributing the most mentions (4), suggesting strong engagement from hardware-focused communities.
The feature’s emergence coincides with broader global supply chain challenges in semiconductor manufacturing, particularly in memory components. Apple has been reported to test RAM from banned vendors and has acquired memory chips for use in Chinese devices, signaling a strategic effort to secure supply amid shortages. These shortages have driven up costs, with Omdia reporting that memory now accounts for up to 64% of the material cost in ultra-low-end smartphones ($99 or less), and up to 59% in devices priced between $100 and $400. As a result, smartphone manufacturers are reducing or eliminating budget models, with a projected 22% year-over-year decline in devices under $400.
While the feature is framed as a performance diagnostic, its high memory usage raises questions about efficiency. A 1GB footprint is substantial for a background service, especially when the goal is to analyze and report on system performance. The feature may be more effective in high-end systems with ample RAM, where it can run without degrading performance. In contrast, on lower-end machines, the overhead could contribute to slowdowns it is meant to detect.
A historical context for RAM limitations can be seen in the Atari Jaguar console, which launched in 1993 with only 2MB of RAM and a Motorola 68000 CPU running at 13.3 MHz. The system struggled with memory management and lacked a memory management unit (MMU), making software development extremely difficult. This illustrates how memory constraints can fundamentally limit system capabilities—even in early computing. Today’s systems, while far more powerful, still face challenges when memory becomes a bottleneck.
Date
Score
Mentions
Growth
Velocity
2026-07-13
93
59
391.67
291.67
2026-07-12
62
12
100.0
0.0
2026-07-11
73
6
100.0
100.0
2026-07-10
52
3
0.0
0.0
2026-07-08
62
2
100.0
100.0
“Anyone wishing to port Linux to the Atari Jaguar would face numerous constraints due to the hardware. One of the first hurdles successfully leaped by cakehonolulu was the CPU used. Atari’s system designers architected the Jag using a Motorola 68000 CPU, which was already pretty old at the time, but a moderately fast 13.3 MHz version was selected.”
— Tom’s Hardware, on porting Linux to the Atari Jaguar
The feature reflects a broader trend in AI integration into operating systems, where performance diagnostics are being automated. However, its real-world impact depends on how effectively it identifies root causes without consuming excessive system resources. As memory costs continue to rise across consumer electronics, such features may become more common—but their practical value will depend on balancing intelligence with efficiency.
Evidence and quotes
Windows 11 Copilot now provides users with insights into what is slowing down their PCs, including real-time diagnostics of performance bottlenecks. According to recent tracking data, the feature has gained significant momentum, with a trend score of 93 and a 391.67% growth in mentions over the past 24 hours. The velocity and acceleration metrics both stand at 291.67, indicating rapid adoption and widespread discussion. The feature uses 1GB of RAM itself, which has sparked debate about its impact on system performance—particularly on devices with limited memory. While the exact performance impact varies by configuration, the feature’s integration into the OS suggests Microsoft is prioritizing user experience through proactive diagnostics.
Sources across the tech community, including Tom’s Hardware, ComputerWorld, and 9to5Google, have reported on the feature’s rollout. One excerpt from Tom’s Hardware highlights the broader context of RAM costs in consumer electronics, noting that memory now accounts for up to 64% of the cost of ultra-low-end smartphones, with mid-tier devices seeing up to 59% of total material costs attributed to RAM. This reflects a global shortage affecting PC and smartphone manufacturing, as highlighted by Apple’s testing of banned vendor RAM and its acquisition of memory chips for use in Chinese devices. The supply constraints are driving up prices and influencing product design decisions.
The feature’s visibility has grown rapidly, with 59 mentions in the latest 24-hour window and a source diversity of 34, indicating broad coverage across outlets. Notably, Reddit discussions have contributed to the visibility, with users sharing experiences of performance issues and Copilot’s ability to identify them. A developer who ported Linux to the Atari Jaguar—known for its memory limitations—described overcoming constraints like lack of a memory management unit and limited RAM. While not directly related to Windows 11, the anecdote underscores how memory constraints historically affect system performance and usability.
Date
Trend Score
Mentions
Growth
Velocity
2026-07-13
93
59
391.67
291.67
2026-07-12
62
12
100.0
0.0
2026-07-11
73
6
100.0
100.0
2026-07-10
52
3
0.0
0.0
2026-07-08
62
2
100.0
100.0
“Memory costs have become a serious burden for mid-to-low-end smartphones, contributing to a year-on-year decline of over 22% in the market for smartphones priced below $400.”
— 9to5Google, citing Omdia data
“A Spanish systems software developer has ported Linux to the Atari Jaguar console... overcoming severe memory limits, the lack of a memory management unit, and face off against a handful of unusual hardware quirks.”
— Tom’s Hardware
The evidence suggests that while Windows 11 Copilot offers valuable performance diagnostics, its 1GB RAM footprint may strain systems with limited memory. The feature’s rise in public discourse reflects growing user interest in transparency around system performance, especially amid rising hardware costs and supply shortages. However, the long-term impact on system stability remains unverified in available data.
Implications
Windows 11 Copilot now provides users with real-time insights into what is slowing down their PCs, a feature that enhances system performance awareness. However, the tool itself consumes 1GB of RAM—significant for devices with limited memory. This raises concerns about resource allocation, especially on older or budget systems where RAM is already constrained. While the feature improves user experience by identifying performance bottlenecks, its high memory footprint may undermine its value on lower-end hardware.
The growing cost of RAM has ripple effects across the tech industry. Omdia reports that memory now accounts for up to 64% of the material cost in ultra-low-end smartphones (under $99), and up to 59% in devices priced between $100 and $400. This has led to a 22% year-over-year decline in sales of phones under $400, as manufacturers either raise prices or discontinue such models. The trend reflects a broader industry struggle with supply chain constraints, with Apple recently testing banned vendor RAM and acquiring memory chips for use in Chinese devices to secure supply.
The rise in RAM costs is not limited to smartphones. High-end gaming laptops, such as the Lenovo Legion Pro 7i with 32GB DDR5 RAM and an RTX 5090 GPU, are now priced at $3,199—nearly $2,000 below list price during sales. This illustrates how RAM has become a dominant cost driver in premium hardware. Meanwhile, older systems or those with 4GB or 8GB of RAM may struggle to run Copilot effectively, especially when the feature is active.
A 2026 analysis of mentions shows a sharp increase in visibility: from 12 to 59 mentions in a single day, with a 391.67% growth and a trend score of 93. This indicates the feature is now widely discussed in mainstream tech circles, with sources including Tom’s Hardware, 9to5Google, and AppleInsider contributing to the narrative. The momentum suggests that users are increasingly aware of RAM usage, and the Copilot feature is being seen as both a helpful tool and a potential drain.
Anyone wishing to port Linux to the Atari Jaguar would face numerous constraints due to the hardware. One of the first hurdles successfully leaped by cakehonolulu was the CPU used. Atari’s system designers architected the Jag using a Motorola 68000 CPU, which was already pretty old at the time, but a moderately fast 13.3 MHz version was selected.
This quote underscores how memory and processing limitations have historically shaped software feasibility—echoing the current challenge of running AI features on systems with limited RAM. As hardware shortages persist, the balance between functionality and resource efficiency will remain a critical design consideration. For now, Copilot offers insight at a cost that may not be sustainable across all user groups.
