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 of performance slowdowns, using 1GB of RAM. This update is tied to Microsoft's integration of GPT-5.6, which has been highlighted in 70 mentions today with a 2233% day-over-day growth. Trend score is 93, indicating mainstream adoption. Mentions rose from 3 to 153 over two days, with a peak of 93 on July 10. Source diversity is 65, with GitHub and Reddit driving most coverage
Copilot now identifies performance bottlenecks on user PCs
It consumes 1GB of RAM during operation
GPT-5.6 is the preferred model in Microsoft 365 Copilot
Microsoft is phasing out OpenAI and Anthropic models to cut costs
In-house MAI models are already handling tens of thousands of requests weekly in Excel and Outlook
Windows 11 Copilot now identifies what's slowing down your PC, using 1GB of RAM in the process. The feature is part of Microsoft's broader shift to in-house AI models, including GPT-5.6 in Microsoft 365 Copilot
The news
Windows 11 Copilot now includes a feature that identifies what processes are slowing down your PC, according to recent reports. This diagnostic capability is part of a broader update to the Copilot service, which leverages Microsoft’s internal AI models to provide real-time performance insights. The feature operates while consuming 1GB of RAM, a notable resource footprint for a background AI service. While this usage may raise concerns about system performance on lower-end hardware, Microsoft has not disclosed specific benchmarks for performance impact across different configurations.
The update follows Microsoft’s shift toward using GPT-5.6 as the preferred model within Microsoft 365 Copilot, enhancing AI functionality in tools like Word, Excel, and PowerPoint. This integration is supported by a surge in public discussion, with 70 mentions tracked in a single day and a trend score of 93, indicating mainstream adoption. Growth in mentions has increased by 2,233% compared to the previous day, signaling rapid public engagement. The velocity and acceleration metrics suggest a strong momentum in user interest, with a momentum stage classified as mainstream.
However, the performance of Copilot in real-world use remains mixed. A user on Androidpolice noted that Copilot often feels “stiff and robotic,” especially when compared to alternatives like Claude, which they describe as better at organizing thoughts and maintaining tone and nuance. This critique highlights a gap in natural language understanding and user experience, despite technical improvements in core functionality.
Additionally, Microsoft has announced plans to phase out reliance on OpenAI and Anthropic models in favor of its own in-house AI, such as MAI-Thinking 1. While these models are already handling tens of thousands of requests weekly in Excel and Outlook, benchmarks show they still trail behind OpenAI and Anthropic in coding and reasoning tasks. This shift may result in reduced AI capability for users paying the same subscription fees, raising concerns about cost-cutting at the expense of performance.
Enterprise users face a broader challenge: Copilot alone does not deliver significant business transformation. As noted in a business analysis, employees may save time on individual tasks—like drafting emails or summarizing meetings—but projects still stall, approvals remain delayed, and cross-departmental workflows persist. The root issue, according to experts, is the lack of an AI orchestration strategy that coordinates AI agents across platforms like Dynamics 365, Azure AI, and Power Platform.
In summary, the new diagnostic feature in Windows 11 Copilot offers tangible value in identifying performance bottlenecks, but its effectiveness is limited by high RAM usage and inconsistent user experience. Meanwhile, broader enterprise adoption hinges not on individual productivity gains, but on integrated AI orchestration across systems. The service remains a step toward AI integration, but not a complete solution for business transformation.
“Copilot can be useful, especially if you live inside Microsoft services, but its responses often feel stiff and robotic to me.”
— Androidpolice user review
“The reality is simple. Microsoft 365 Copilot is rarely the problem. The missing piece is an enterprise AI orchestration strategy.”
— Ishir.com business analysis
What happened
Windows 11 Copilot now includes a feature that identifies what processes are slowing down your PC, based on real-time performance analysis. This functionality was introduced as part of a broader update to the Copilot service, which now leverages GPT-5.6 as its primary model within Microsoft 365 Copilot. The update enhances AI-driven insights across tools like Word, Excel, and PowerPoint, enabling users to receive actionable feedback on system performance. According to tracking data, the feature has generated 70 mentions in the past 24 hours, with a trend score of 93 and a day-over-day growth of +2233%. These metrics indicate a rapid rise in public awareness and discussion around the feature.
The feature uses 1GB of RAM during operation, which has drawn both praise and concern. While Microsoft has not disclosed the full technical architecture behind the performance diagnostics, the allocation of 1GB suggests a significant computational footprint. This usage raises questions about system stability, especially on devices with limited memory. A recent article from The Decoder notes that Microsoft is shifting toward in-house AI models—such as MAI-Thinking 1—to reduce reliance on OpenAI and Anthropic, which may impact the quality and capabilities of Copilot features. These internal models are said to handle only a small fraction of requests, and benchmarks show they lag behind leading third-party models in reasoning and coding tasks.
User experiences vary. One Android review highlights that Copilot often feels “stiff and robotic,” particularly when compared to alternatives like Claude, which is praised for helping users organize thoughts and maintain tone and nuance. In contrast, users report that Copilot’s performance diagnostics offer useful, immediate feedback on system bottlenecks. However, enterprise-level evaluations suggest that Copilot alone does not deliver meaningful business transformation. As noted in a business analysis, employees may save time on individual tasks—like drafting emails or summarizing meetings—but projects still stall due to lack of coordination across systems.
A table summarizing recent performance metrics shows a sharp increase in mentions and velocity, with a peak on July 13, 2026, at 47 mentions and a growth rate of 1466.67. The momentum stage is classified as mainstream, indicating widespread public engagement.
“Copilot can be useful, especially if you live inside Microsoft services, but its responses often feel stiff and robotic to me.” — AndroidPolice review
“Microsoft’s head of AI, Mustafa Suleyman, openly acknowledged this plan in June: 'We pay a lot of money to Anthropic—so our goal is to reduce and ultimately eliminate that cost.'” — The Decoder
The feature’s integration into Windows 11 reflects Microsoft’s push to embed AI directly into the user experience, but its effectiveness remains limited without broader AI orchestration across enterprise platforms. For now, it serves as a diagnostic tool rather than a transformative productivity solution.
Why the spike
The spike in attention to Windows 11 Copilot’s performance metrics stems from a confluence of real-time user feedback and technical disclosures. On July 13, 2026, Copilot’s trend score reached 93, with 47 total mentions—up 1,466% from the prior day. This surge followed a sharp drop on July 12, when the score fell to 38, suggesting a pattern of volatility tied to public disclosure of new features. The velocity of mentions (1,564.7) and acceleration (1,727.3) indicate a rapid adoption cycle, with momentum firmly in the mainstream phase.
A key driver of the spike is the revelation that Copilot now identifies what’s slowing down a user’s PC—specifically, it uses 1GB of RAM during operation. This is notable because it contradicts earlier claims of lightweight AI integration. The feature, enabled through Microsoft’s GPT-5.6 model, allows users to see real-time performance bottlenecks, which enhances transparency. However, this increased resource use raises concerns about system stability, especially on older or lower-end hardware.
The feature’s prominence is amplified by its integration into Microsoft 365 Copilot, where GPT-5.6 powers enhancements in Word, Excel, and PowerPoint. While the model improves response quality, user feedback from AndroidPolice highlights a persistent issue: Copilot’s responses often feel stiff and robotic, lacking the nuance and flow of alternatives like Claude. One user noted, "Copilot can be useful, especially if you live inside Microsoft services, but its responses often feel stiff and robotic to me (I’m not a fan of its fonts either)."
Behind the scenes, Microsoft is shifting toward in-house models to reduce costs. As reported by The Decoder, the company is phasing out OpenAI and Anthropic models in favor of its own MAI series. While these models are already handling tens of thousands of requests weekly in Excel and Outlook, benchmarks show they lag behind OpenAI and Anthropic in reasoning and coding tasks. This suggests users may experience reduced AI capability despite lower costs.
Critically, enterprise users are seeing limited ROI. As noted in a business analysis, "Employees may be saving a few minutes each day, but projects still stall. Approvals still take days. Customer requests still bounce between departments." The issue isn’t Copilot itself, but the absence of AI orchestration across systems. Without coordination between apps, data, and workflows, individual productivity gains fail to translate into business transformation.
The spike reflects both excitement over new functionality and skepticism about underlying performance and business value. While Copilot now offers diagnostic insights, its high RAM usage and weaker AI performance compared to competitors raise questions about whether it delivers meaningful improvements over existing tools.
Date
Score
Mentions
Growth
2026-07-13
93
47
1,466.67
2026-07-12
38
3
-98.04
2026-07-11
70
153
64.52
Sources include GitHub, Reddit, Hacker News, and tech newsletters, with the majority of mentions coming from GitHub (21) and tech blogs (11). The data shows a clear pattern of user interest peaking after a period of technical uncertainty.
Ultimately, the spike reflects not just a feature update, but a broader reckoning: can AI tools that improve individual efficiency truly transform enterprise operations without deeper integration and orchestration?
"The reality is simple. Microsoft 365 Copilot is rarely the problem. The missing piece is an enterprise AI orchestration strategy."
Background
Windows 11 Copilot now includes a feature that identifies what processes are slowing down a user’s PC, marking a shift toward system-level diagnostics. This functionality is part of a broader integration of GPT-5.6 into Microsoft 365 Copilot, which enhances AI performance in tools like Word, Excel, and PowerPoint. The update is supported by a surge in public discussion, with 70 mentions tracked in a single day and a day-over-day growth of +2233%. The trend score remains high at 93, indicating strong public interest and momentum in mainstream adoption.
The feature operates with a resource footprint of 1GB of RAM, which is notable given that many users report performance concerns when AI tools consume significant memory. While this usage is consistent with the scale of large language model operations, it raises questions about system stability, especially on devices with limited memory. Microsoft has not disclosed the exact methodology behind identifying performance bottlenecks, but the feature appears to analyze real-time system behavior and surface specific applications or background tasks contributing to slowdowns.
Public sentiment reflects mixed views on Copilot’s effectiveness. One user noted that Copilot “can be useful, especially if you live inside Microsoft services, but its responses often feel stiff and robotic,” highlighting a gap in natural language fluency compared to alternatives like Claude. Another source pointed out that Microsoft is phasing out OpenAI and Anthropic models in favor of in-house AI models such as MAI, which are already handling tens of thousands of requests weekly in Excel and Outlook. However, benchmarks suggest these internal models lag behind their competitors in reasoning and coding performance.
Enterprise users remain skeptical. A report from Ishir emphasizes that Copilot alone does not deliver business transformation—employees may save time on individual tasks, but workflows still stall due to a lack of AI orchestration across systems. The core issue, according to the analysis, is not Copilot’s capability, but the absence of a coordinated strategy that integrates AI with data, applications, and human workflows.
The feature’s visibility has grown rapidly, with mentions increasing from 3 to 153 in a single week and a velocity of 1564.7 across sources. Key contributors include GitHub (21 mentions), Reddit (1), and tech newsletters like Hacker News and TechMeme. Despite the positive momentum, the evidence on actual performance improvements for end users remains limited.
“Claude feels better for actual thinking. It doesn’t just throw an answer at me. It helps me slow down, organize my thoughts, and turn a rough idea into something I can actually use.” — AndroidPolice review of AI assistants
“We pay a lot of money to Anthropic—so our goal is to reduce and ultimately eliminate that cost.” — Microsoft AI head Mustafa Suleyman
While the diagnostic feature adds value for users experiencing performance issues, its long-term impact depends on how well it integrates with broader productivity and enterprise AI strategies.
Evidence and quotes
Windows 11 Copilot now provides users with real-time insights into what is slowing down their PC, a feature highlighted in recent user discussions and technical reporting. According to data from OpenAI blog posts, the update leverages GPT-5.6 as the preferred model within Microsoft 365 Copilot, enhancing AI performance in core productivity tools like Word, Excel, and PowerPoint. This integration enables Copilot to not only generate content but also diagnose performance bottlenecks. However, the feature comes at a cost: Copilot uses 1GB of RAM during operation, which may impact systems with limited memory.
The feature’s visibility has grown rapidly, with 70 mentions tracked in a single day and a trend score of 93, indicating strong public interest. Growth in mentions surged by +2233% day-over-day, and the momentum stage is classified as mainstream, suggesting widespread adoption. Metrics from the past week show consistent velocity and acceleration, with a peak of 1564.7059 in velocity on July 13, 2026. Source diversity remains high at 65, with significant contributions from GitHub (20 mentions), Reddit (1), and tech newsletters like Hacker News and TechMeme.
Despite the feature’s visibility, user sentiment is mixed. One Android user noted that Copilot “feels stiff and robotic” compared to alternatives like Claude, which they found better at organizing thoughts and maintaining tone. “Claude doesn’t just throw an answer at me,” one reviewer wrote. “It helps me slow down, organize my thoughts, and turn a rough idea into something I can actually use.” This critique reflects a broader concern: while Copilot improves individual productivity, it does not consistently deliver deeper cognitive support.
Microsoft’s shift toward in-house models, such as MAI-Thinking 1, raises questions about capability. Reports indicate that these models currently handle only a small fraction of requests and trail OpenAI and Anthropic benchmarks in performance. Microsoft’s head of AI, Mustafa Suleyman, has acknowledged the goal of reducing costs by phasing out third-party models, potentially leading to weaker AI outputs at the same price point.
Enterprise users also face limitations. A business analysis report notes that Copilot alone does not deliver enterprise ROI. “Employees may save minutes,” it states, “but projects still stall. Approvals still take days.” The report identifies a critical gap: the absence of AI orchestration strategies that coordinate people, systems, and data across Microsoft 365 and Azure platforms.
In summary, while Copilot now offers performance diagnostics and enhanced AI features, its real-world impact remains constrained by model performance, memory usage, and a lack of integration with broader enterprise workflows. Users may benefit from faster tasks, but deeper organizational transformation requires more than individual tool improvements.
Implications
Windows 11 Copilot now provides real-time diagnostics about what is slowing down a user’s PC, a feature that directly addresses performance concerns. However, this diagnostic capability comes at a cost: the feature uses 1GB of RAM. While this may seem modest, it represents a significant allocation for a background AI service, especially on devices with limited memory. In systems with 4GB or less of RAM, this usage could contribute to sluggishness or instability under heavy workloads. The fact that Copilot operates with such a high memory footprint suggests a trade-off between functionality and system efficiency—users may gain visibility into performance bottlenecks, but at the expense of reduced overall system responsiveness.
Microsoft’s shift toward in-house AI models, such as MAI-Thinking 1, signals a broader strategy to reduce reliance on OpenAI and Anthropic. These internal models are already handling tens of thousands of requests weekly in Excel and Outlook. However, benchmarks show they still trail behind leading third-party models in reasoning and coding tasks. This implies that while Microsoft is cutting costs, the resulting AI may offer lower quality or fewer capabilities—especially in complex, enterprise-grade workflows. For users expecting high-fidelity AI assistance, this could mean diminished utility despite the same pricing.
The diagnostic feature may also reflect a misalignment with user needs. As noted in enterprise analyses, Copilot improves individual productivity—such as drafting emails or summarizing meetings—but rarely changes organizational outcomes. Projects still stall, approvals remain delayed, and interdepartmental coordination fails. Without an AI orchestration strategy that connects people, systems, and data across platforms, Copilot remains a tool for personal efficiency, not business transformation.
A key insight from user feedback is that Copilot often feels “stiff and robotic,” lacking the nuanced understanding and thoughtful guidance offered by alternatives like Claude. Users report that Copilot struggles with incomplete or ambiguous inputs, and its output lacks flow, tone, or depth. This undermines its value in creative or strategic tasks where human-like reasoning matters.
Metric
Value
RAM usage
1GB
Trend score
93
Growth (day-over-day)
+2233%
Source diversity
65
In sum, while Copilot offers new transparency into system performance, its high memory footprint and limited AI capabilities raise concerns about practical value. For enterprise users, the absence of broader AI orchestration means the tool fails to deliver on promised productivity gains. For individual users, the experience remains inconsistent and often underwhelming compared to more intuitive, context-aware assistants. The feature may be useful in specific scenarios, but it does not represent a fundamental improvement in how Windows 11 handles performance or intelligence.
