Intel rolls out AI customer support with Ask Intel, but warns answers may be inaccurate

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Intel has launched Ask Intel, an AI-powered virtual assistant built on Microsoft Copilot Studio to handle customer support queries. The system can open support cases, check warranty coverage, and connect users with human representatives when needed. However, the tool explicitly warns that its answers may be inaccurate, raising concerns about potential hardware damage from incorrect technical advice on sensitive issues like CPU instability.

Intel Deploys AI-Powered Virtual Assistant for Customer Support

Intel has officially rolled out Ask Intel, an AI customer support system built on Microsoft Copilot Studio, marking a significant shift in how the semiconductor industry handles after-sales support

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. Announced by Boji Tony, Intel's vice president and general manager of sales enablement and support, via LinkedIn, the new system represents "one of the first of its kind in the semiconductor industry"

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. The AI-powered virtual assistant utilizes agentic AI capabilities to automate support cases, verify warranty coverage instantly, and route users to human representatives when necessary

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Source: PCWorld

Source: PCWorld

The deployment comes as Intel removed inbound customer support phone numbers in December, redirecting queries to the support site where Ask Intel now appears prominently in the Live Chat section

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. Intel plans to make the generative AI tool increasingly central to the support experience over time

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Hardware Damage Concerns and Inaccurate Answers

The system prominently displays a warning that immediately raises questions about reliability: "This Virtual Assistant uses generative AI and answers may be inaccurate"

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. This admission becomes particularly concerning when dealing with hardware-related issues where incorrect technical advice could lead to permanent damage. Testing revealed troubling responses—when asked about crashing desktop CPUs, Ask Intel recommended downloading graphics drivers and performing a CPU stress test on potentially defective hardware, advice that could exacerbate existing problems

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. When questioned about the wisdom of stress-testing a possibly faulty processor, the system pivoted to suggesting BIOS updates instead

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Source: Wccftech

Source: Wccftech

Independent testing by Wccftech produced similar results. When presented with CPU instability issues and specific thermal problems, the assistant provided multiple generic solutions including BIOS updates, diagnostic tests, and thermal checks—even when the user explicitly mentioned heating issues

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Human-in-the-Loop System with Limitations

According to Boji Tony, the goal is to reduce time customers spend addressing hardware problems by letting AI handle routine inquiries, freeing human representatives for complex issues that genuinely require expertise

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. The human-in-the-loop system maintains a fallback mechanism where the assistant connects users to a human representative when it cannot resolve queries

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. However, Ask Intel appears entirely dependent on Intel's internal documentation, meaning it can only reiterate officially published solutions rather than provide nuanced troubleshooting

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The system also requires users to agree that Intel and its third-party service providers may record, use, and store conversation contents according to Intel's Privacy Notice

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. When users request to speak with live support, the Copilot-powered assistant first attempts to deflect by prompting for issue descriptions

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Timing Raises Questions About Service Quality

The launch comes against the backdrop of Intel's troubled handling of Raptor Lake instability issues, where the company faced criticism for inadequate after-sales support

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. While Intel achieved success with its recent Panther Lake launch, customer service has remained a persistent weakness

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. The decision to deploy AI for customer support follows Intel's broader strategy of replacing human workers with AI solutions, previously implemented at fast-food chains like KFC

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. Whether Ask Intel can address underlying service problems or simply creates new friction points remains to be seen, particularly as users navigate an AI system that openly admits its limitations while handling potentially expensive hardware issues.

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