
HPE–Juniper Merger Clears DOJ, Reshapes AI Networking Race
After nearly 18 months of regulatory friction, Hewlett Packard Enterprise (HPE) has cleared the final hurdle in its $14 billion acquisition of Juniper Networks. On June 28, 2025, the U.S. Department of Justice announced it had reached a settlement with HPE, ending an antitrust challenge that had threatened to derail the high-stakes deal just weeks before trial.
The settlement, marked by two key concessions, removes a major overhang on the merger and allows HPE to move forward with a strategic acquisition designed to strengthen its position in the AI-native networking era.
As enterprises re-architect for AI workloads, the network has moved from a supporting role to a foundational pillar of modern infrastructure. The HPE–Juniper combination reflects this shift – where intelligence, performance, and adaptability must now live inside the network itself.
What HPE Agreed To
To address competitive concerns, HPE will divest its Instant On campus and branch WLAN business, including all IP, R&D, and customer relationships. The company will have 180 days to identify and secure a DOJ-approved buyer.
Additionally, the parties agreed to a technology licensing requirement: Juniper’s AI Ops for Mist source code – critical to its WLAN optimization and automation – must be made available through a non-exclusive, perpetual license via a competitive auction. This includes optional transitional support and even personnel transfers to jump-start competition.
These terms are designed to preserve competitive dynamics in enterprise wireless networking while still allowing HPE to advance the merger.
Strategic Vision for AI-Native Networking
HPE CEO Antonio Neri has long framed the Juniper acquisition as more than just consolidation. In his words, the combined entity offers a “modern network architecture alternative” that’s optimized for AI workloads across cloud, enterprise, and service provider environments.
By bringing Juniper’s AI Ops capabilities, Mist AI portfolio, and networking silicon innovation under HPE’s umbrella, alongside Aruba’s access and security tools, the company is building what it sees as a differentiated, software-defined stack for the next wave of infrastructure.
With AI workloads reshaping data flows, automation, and telemetry requirements across all network layers, HPE’s endgame is to own the central nervous system of modern infrastructure. The network is no longer the highway for data – it’s the platform where real-time insight, optimization, and control happen. In this vision, the network isn't adjacent to AI infrastructure; it is AI infrastructure.
Industry Response
Channel partners have called the deal a “game changer” for HPE, particularly with its expanded reach across cloud and telco verticals. However, some observers remain skeptical of the DOJ’s assertion that the combined HPE-Juniper entity and Cisco would control over 70% of the U.S. WLAN market – a figure that may not fully account for disruptive players and emerging architectures in this fast-moving sector.
TechArena Take
The DOJ’s settlement may have closed the chapter on legal opposition, but the real test is what HPE does next. With regulatory clearance in hand, the company now carries both the strategic potential and the execution burden of realizing its AI-native networking vision.
The divestiture of Instant On and the licensing of Juniper’s Mist AI source code underscore a deeper truth: AI-era infrastructure will be won not just by owning the stack, but by how open, adaptable, and customer-centric that stack proves to be.
If HPE delivers on its promise of real-time automation, silicon-level optimization, and intelligent edge-to-core integration, all without locking customers into a monolithic experience, it has a chance to challenge Cisco and reset the expectations for what enterprise networking should be.
The next moves – from roadmap integrations to go-to-market strategy – will determine whether this is just a large deal or a defining moment in the re-centering of the network as AI’s operating backbone.
After nearly 18 months of regulatory friction, Hewlett Packard Enterprise (HPE) has cleared the final hurdle in its $14 billion acquisition of Juniper Networks. On June 28, 2025, the U.S. Department of Justice announced it had reached a settlement with HPE, ending an antitrust challenge that had threatened to derail the high-stakes deal just weeks before trial.
The settlement, marked by two key concessions, removes a major overhang on the merger and allows HPE to move forward with a strategic acquisition designed to strengthen its position in the AI-native networking era.
As enterprises re-architect for AI workloads, the network has moved from a supporting role to a foundational pillar of modern infrastructure. The HPE–Juniper combination reflects this shift – where intelligence, performance, and adaptability must now live inside the network itself.
What HPE Agreed To
To address competitive concerns, HPE will divest its Instant On campus and branch WLAN business, including all IP, R&D, and customer relationships. The company will have 180 days to identify and secure a DOJ-approved buyer.
Additionally, the parties agreed to a technology licensing requirement: Juniper’s AI Ops for Mist source code – critical to its WLAN optimization and automation – must be made available through a non-exclusive, perpetual license via a competitive auction. This includes optional transitional support and even personnel transfers to jump-start competition.
These terms are designed to preserve competitive dynamics in enterprise wireless networking while still allowing HPE to advance the merger.
Strategic Vision for AI-Native Networking
HPE CEO Antonio Neri has long framed the Juniper acquisition as more than just consolidation. In his words, the combined entity offers a “modern network architecture alternative” that’s optimized for AI workloads across cloud, enterprise, and service provider environments.
By bringing Juniper’s AI Ops capabilities, Mist AI portfolio, and networking silicon innovation under HPE’s umbrella, alongside Aruba’s access and security tools, the company is building what it sees as a differentiated, software-defined stack for the next wave of infrastructure.
With AI workloads reshaping data flows, automation, and telemetry requirements across all network layers, HPE’s endgame is to own the central nervous system of modern infrastructure. The network is no longer the highway for data – it’s the platform where real-time insight, optimization, and control happen. In this vision, the network isn't adjacent to AI infrastructure; it is AI infrastructure.
Industry Response
Channel partners have called the deal a “game changer” for HPE, particularly with its expanded reach across cloud and telco verticals. However, some observers remain skeptical of the DOJ’s assertion that the combined HPE-Juniper entity and Cisco would control over 70% of the U.S. WLAN market – a figure that may not fully account for disruptive players and emerging architectures in this fast-moving sector.
TechArena Take
The DOJ’s settlement may have closed the chapter on legal opposition, but the real test is what HPE does next. With regulatory clearance in hand, the company now carries both the strategic potential and the execution burden of realizing its AI-native networking vision.
The divestiture of Instant On and the licensing of Juniper’s Mist AI source code underscore a deeper truth: AI-era infrastructure will be won not just by owning the stack, but by how open, adaptable, and customer-centric that stack proves to be.
If HPE delivers on its promise of real-time automation, silicon-level optimization, and intelligent edge-to-core integration, all without locking customers into a monolithic experience, it has a chance to challenge Cisco and reset the expectations for what enterprise networking should be.
The next moves – from roadmap integrations to go-to-market strategy – will determine whether this is just a large deal or a defining moment in the re-centering of the network as AI’s operating backbone.