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rewrite this title HP Pushes AI Into the Enterprise PC Layer as Competition Intensifies – UC Today

Christopher Carey by Christopher Carey
March 24, 2026
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rewrite this title HP Pushes AI Into the Enterprise PC Layer as Competition Intensifies – UC Today
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HP is rolling out a new wave of AI-focused enterprise PCs alongside HP IQ, a device-level intelligence layer designed to bring automation and context-aware assistance into everyday work.

Announced at HP Imagine 2026, the company outlined a renewed push into enterprise computing built around a simple idea – PCs should do more of the work themselves.

The aim is to combine updated commercial hardware with a new on-device AI system to change how employees interact with their devices and how IT teams manage them at scale.

AI PCs Go Mainstream

The centrepiece of the launch is a refreshed range of commercial PCs led by HP’s updated EliteBook 6 series, aimed at mobile professionals working across hybrid environments.

The devices are built on ARM-based processors from Qualcomm and are designed to prioritise battery life, connectivity and on-device AI processing rather than traditional performance benchmarks.

HP is targeting users who increasingly work across multiple locations and expect consistent performance whether they are in the office, at home or travelling.

The company claims the new systems deliver longer battery life, thinner form factors and improved efficiency compared to previous generations.

Integrated 5G connectivity is also included, enabling automatic network switching so users can remain connected without manually managing SIM cards or Wi-Fi networks.

“Work no longer happens in just one place, and productivity shouldn’t be limited by where you are,” said Guayente Sanmartin, Senior Vice President and Division President of Commercial Systems & Displays Solutions at HP Inc.

Alongside the flagship devices, the company is restructuring its commercial portfolio into clearer tiers designed to serve different segments of the enterprise market.

The updated lineup separates devices aimed at small businesses, mainstream enterprise users and high-performance professional workloads.

This reflects an industry-wide trend in which AI capability is increasingly being used to differentiate product tiers rather than relying solely on processor generation or hardware specifications.

HP IQ Launches

More significant than the hardware refresh is HP’s introduction of HP IQ, a new on-device intelligence layer designed to run directly on enterprise PCs.

HP IQ is built around a local AI model that enables users to interact with their devices using natural language.

Rather than requiring users to open separate applications or services, the system is designed to operate across the device environment and respond directly to user intent.

The platform supports tasks such as searching files, summarising content, organising notes and assisting with meeting workflows.

HP’s approach is to embed these capabilities into the operating experience itself, rather than positioning them as standalone tools that users must actively open and manage.

In practical terms, HP IQ is intended to reduce the number of steps required to complete common workplace tasks.

The system also introduces proximity-based functionality that allows devices to recognise each other and share contextual information. This is designed to support more fluid movement between workspaces, meeting rooms and collaboration environments, particularly in hybrid working scenarios where employees regularly switch devices throughout the day.

The company has indicated that HP IQ will begin early access rollout in Spring 2026, with broader availability expected later in the year across notebooks, desktops and collaboration hardware.

IT Automation Expands

Alongside its push into AI PCs, HP continues to expand its Workforce Experience Platform, known as WXP, which focuses on monitoring device fleets and automating IT remediation across enterprise environments.

The platform is designed to identify performance issues before they escalate into user-facing problems and to reduce the need for manual intervention from IT support teams.

Instead of relying solely on reactive support models, the company is increasingly positioning WXP as a predictive system that can detect and resolve issues before they impact productivity.

This reflects a broader shift in enterprise IT operations, where organisations are moving towards automated device management and proactive issue resolution. In large-scale environments with thousands of endpoints, even small reductions in manual IT workload can translate into significant operational efficiency gains.

AI PC Market Heats Up

HP is entering a competitive landscape where other major PC vendors are pursuing similar strategies.

Lenovo and Dell Technologies are both investing heavily in AI-enabled endpoint management systems and digital employee experience platforms that aim to reduce IT complexity and improve end-user productivity.

These efforts include automated diagnostics, predictive maintenance and AI-assisted device optimisation.

At the same time, AI capabilities are increasingly being integrated at both the operating system and silicon level, with chipmakers and software providers embedding intelligence directly into the core computing stack.

This is reducing the differentiation available at the hardware layer alone and pushing vendors to compete more on ecosystem integration than on specifications.

As a result, the AI PC market is beginning to converge around a shared set of capabilities, including local AI processing, automated IT support and embedded productivity tools.

The key question for vendors is no longer whether these features exist, but how effectively they are integrated into enterprise workflows at scale.

Enterprise implications

For IT decision-makers, HP’s announcement reflects several structural changes taking place across enterprise computing.

AI capabilities are becoming standard in enterprise PCs rather than optional enhancements, and device management is shifting towards predictive and automated support models that reduce reliance on manual intervention.

At the same time, AI functionality is increasingly being embedded directly into everyday workflows, rather than delivered through separate applications or tools.

Together, these shifts point towards a broader transformation in how enterprise computing environments are designed and managed. PCs are increasingly being treated not just as endpoints, but as active systems capable of participating in workload execution, maintenance and user support.

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