How Antonio Neri turned HPE into an unlikely AI stock

2026-06-26 · Source: Semafor · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Emerging Technologies & Innovation · Depth: Fundamental Awareness, medium

Summary

Hewlett Packard Enterprise (HPE), once dismissed as a mature provider of prosaic IT equipment, has seen its stock double in value since April, driven by a perception shift towards its AI offerings. This surge followed a blockbuster quarterly earnings report, revealing a 40% year-on-year revenue increase and accelerated financial target achievement. CEO Antonio Neri attributes this turnaround to a years-long strategic repositioning, notably the \$14 billion acquisition of Juniper Networks, announced in January 2024. Despite a legal challenge from the US Justice Department, Neri pushed for rapid integration, completing it within five months and emphasizing cultural alignment. HPE now advocates viewing AI not merely as an IT cost, but as an "AI cost of the workforce," leveraging internal AI agents like "Alfred" to enhance productivity and inform leadership. The company has identified 1,200 AI use cases and deployed 250.

Key takeaway

For CTOs and executives evaluating AI investments, HPE's turnaround demonstrates that strategic acquisitions and a reframed cost perspective are crucial. You should assess AI spending as an "AI cost of the workforce," focusing on productivity gains rather than isolated IT expenses. Prioritize rapid "time to value" for AI deployments and consider integrating AI agents for internal performance monitoring, ensuring your strategy aligns with tangible business outcomes.

Key insights

HPE's AI-driven resurgence stems from strategic acquisitions and a reframed perspective on AI's economic value.

Principles

• Integrate cultures, not just businesses, for M&A success.
• Inspect performance to ensure expected outcomes.
• AI costs should be viewed as workforce productivity investments.

Method

HPE integrates large acquisitions by establishing a dedicated integration office with work streams for general/administrative, product/strategy, sales, and culture.

In practice

• Reframe AI spending as "AI cost of the workforce."
• Deploy internal AI agents for real-time performance tracking.
• Prioritize "time to value" for technology deployments.

Topics

• Hewlett Packard Enterprise
• AI Strategy
• Mergers & Acquisitions
• Juniper Networks
• Enterprise AI
• Workforce Productivity

Best for: VP of Engineering/Data, Director of AI/ML, Investor, Executive, CTO

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Editorial summary, takeaway, and curation by AIssential. Original article published by Semafor.