HPQHP Inc.
AI adoption · Q1 2026 earnings call
Information TechnologyMonetizing
19
extracted from this call
4 / 5
quantified with specifics
Not disclosed
no breakout in this call
HP Inc. framed AI — particularly edge AI and agentic AI — as a central demand driver for its Personal Systems business, positioning the company as a 'trusted intelligent edge provider.' Management highlighted strong AI PC shipment mix growth (35% to 44% QoQ) and a forward target of 60-70% by next fiscal year, while also citing AI-enabled internal productivity initiatives. The discussion of agentic AI workloads migrating from cloud to edge was a recurring strategic theme, supported by a 150+ software partner ecosystem and new product launches at HP Imagine.
Hybrid
See full leaderboard →72/ 100
98
stage: monetizing · max spec: 4
40
rev: qualitative_only +double-digit YoY (AI PCs) · 2 quant outcomes
85
3 scopes
product_embeddedproduct_standaloneinternal_use
19 AI mentions from this call.
Extracted verbatim from the HPQ Q1 2026 earnings call transcript. Speaker, section, and specificity tier surfaced for each mention.
- T4Q&A· CFO· Product-embedded AIcould you provide some more commentary or anecdotes related to agentic AI for the client and edge compute space
“our AI PC mix that we shipped this quarter increased pretty substantially from 35% last quarter to 44% this quarter, as Bruce noted. And we continue to expect AI PCs to be a greater part of our shipments going forward, reaching 60% to 70% next fiscal year, and then above 70% by FY '28.”
— Karen Parkhill, HPQ earnings callAI PC - T4Prepared remarks· CEO· Product-embedded AI
“we've enhanced our Workforce Experience Platform, known as WXP, with AI-driven tools for proactive management of personal endpoints and shared spaces. WXP actively manages over 5.2 million devices across 180 countries.”
— Bruce Broussard, HPQ earnings callWorkforce Experience Platform, WXP - T4Prepared remarks· CEO· Product-embedded AI
“continued momentum in AI PCs, which increased from more than 35% to 44% of our shipment mix in the quarter”
— Bruce Broussard, HPQ earnings callAI PC - T4Prepared remarks· CFO· Product-embedded AI
“double-digit year-over-year revenue growth in AI PCs, Advanced Compute Solutions, and Workforce Solutions”
— Karen Parkhill, HPQ earnings callAI PCs, Advanced Compute Solutions, Workforce Solutions - T3Q&A· CEO· Customer demand signalcould you provide some more commentary or anecdotes related to agentic AI for the client and edge compute space
“we are seeing use of agentic with our technology. We're seeing it both on the governmental side and on the enterprise side. And the applications are both in using cloud, but more importantly, really utilizing the edge computing. And what we're seeing over time, and we're hearing it from our customers that they're really moving from a centralized cloud intelligence where models were formed to being able to create real-time intelligence closer to the employee, the consumer, and the workflow.”
— Bruce Broussard, HPQ earnings call - T3Q&A· Segment_President· Product-embedded AIcould you provide some more commentary or anecdotes related to agentic AI for the client and edge compute space
“we are innovating on AI execution platforms, starting from how systems are designed around and for AI workloads, where you see AI PCs and workstations are capable for running AI models locally. And we demonstrated this through some amazing product innovations earlier at HP Imagine, including HP IQ and Wolf Security solution, which is unique in protecting at BIOS level instruction.”
— Ketan Patel, HPQ earnings callAI PCs, HP IQ, Wolf Security - T3Prepared remarks· CEO· Standalone AI product
“To bring data center capabilities directly to the desktop in order to support the most demanding AI and compute workloads, we introduced new Z workstations and AI stations. These purpose-built devices enable customers to develop, run inference, and scale AI workloads, providing greater control over token costs, latency, and enterprise data security.”
— Bruce Broussard, HPQ earnings callZ workstations, AI stations - T3Q&A· Segment_President· Product-embedded AIcould you provide some more commentary or anecdotes related to agentic AI for the client and edge compute space
“our partnership with 150-plus software partners who are also working on different use cases, like productivity, developer needs and creative needs for building -- bringing in local workloads is also helping.”
— Ketan Patel, HPQ earnings call - T3Prepared remarks· CEO· Product-embedded AI
“In print, we launched a new LaserJet series with AI-enabled document workflows, quantum-resistant security and up to 50% faster document handling, making work easier and more secure.”
— Bruce Broussard, HPQ earnings callLaserJet - T3Prepared remarks· CEO· Product-embedded AI
“Goodnotes, for example, is leveraging the NPU for local audio transcription and summarization, while AI Producer is transforming our AI PCs into professional production studios.”
— Bruce Broussard, HPQ earnings callGoodnotes, AI ProducerAI PC - T3Prepared remarks· CEO· Product-embedded AI
“In Personal Systems, we introduced the next-generation AI PC and expanded local AI capabilities with an ecosystem of more than 150 software companies of all sizes.”
— Bruce Broussard, HPQ earnings callZoom, CrowdStrike, Goodnotes, AI ProducerAI PC, next-generation AI PC - T2Prepared remarks· CFO· Internal use
“we continue to advance our AI-enabled transformation, including modernizing our software development and delivery capabilities. We are consolidating platforms, simplifying applications and using AI to boost developer productivity, speed innovation, and deliver better customer experiences faster. And we are also scaling similar initiatives across the company, including in our supply chain, go-to-market, and customer support organizations.”
— Karen Parkhill, HPQ earnings call - T2Prepared remarks· CEO· Customer demand signal
“AI innovation is accelerating, adoption growing rapidly across enterprises. Customers are becoming more thoughtful about where AI workflows run. AI is transforming computing from passive devices to context-aware intelligence systems. Companies like HP that own the trusted edge, the workflow context, and the orchestration layer between local and cloud intelligence will be positioned to thrive in this environment.”
— Bruce Broussard, HPQ earnings call - T2Q&A· Segment_President· Product-embedded AIcould you provide some more commentary or anecdotes related to agentic AI for the client and edge compute space
“There is a real shift happening towards the AI at the edge with workloads moving for reasons stated by Bruce earlier. Fundamentally, benefits like latency, privacy, sovereign AI and the cost associated. And with this shift, the PC is becoming strategically relevant, and HP has the right capabilities and proof points to shape how AI shows up at the edge.”
— Ketan Patel, HPQ earnings call - T2Prepared remarks· CEO· Customer demand signal
“Rising cloud costs associated with agentic AI, along with latency, privacy, and security considerations are driving demand for AI workloads at the edge. As a result, customers are building AI at the edge using smaller, open source and proprietary models with more capable hardware and secure software layers.”
— Bruce Broussard, HPQ earnings call - T2Q&A· Segment_President· Customer demand signalhow do you think about visibility into 2, 3, 4 quarters out
“in both short run and long run, as a lot of customers are moving workloads to the edge with rising cost of excess AI, that's a great opportunity, we believe, which is structurally available to us for AI at the edge, which will help us drive better mix and share gains, particularly in premium categories.”
— Ketan Patel, HPQ earnings call - T2Prepared remarks· CEO· Product-embedded AI
“we introduced the HP IQ. This is a groundbreaking intelligence layer that coordinates seamless integrated experiences across all our products. A key feature is HP NearSense, a new spatial intelligence that helps devices easily discover and connect to each other.”
— Bruce Broussard, HPQ earnings callHP IQ, HP NearSense - T2Q&A· Segment_President· Product-embedded AIare you able to give any color on the performance by geography
“across the 3 geographies, you see structural demand coming on AI PCs and premium PCs, largely because of the AI and the edge opportunity, which I called out before, and that remains strong even for Q3 and Q4.”
— Ketan Patel, HPQ earnings callAI PCs - T2Prepared remarks· CFO· Product-embedded AI
“we are executing our plans to gain additional share both in tank printers through portfolio extensions and targeted promotions and in office as we fully roll out our latest AI-enabled laser portfolio.”
— Karen Parkhill, HPQ earnings callAI-enabled laser portfolio
What management wouldn’t quantify.
Analyst questions where management declined to share a specific number. The pattern of refusals is often as informative as the disclosures.
- No explicit revenue dollar figure disclosed for AI PC category despite double-digit growth claim — only mix percentage provided.
- No quantification of productivity savings or efficiency gains from internal AI initiatives (developer productivity, supply chain AI, customer support AI).
- No ARR or incremental revenue attribution specifically to AI features in products such as HP IQ, WXP AI tools, or AI-enabled LaserJet.
- Agentic AI customer traction described qualitatively by CEO (government and enterprise) with no customer names, deal sizes, or revenue contribution.
- No disclosure of R&D spend specifically allocated to AI product development.
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