• The transition from app-based UIs towards Agentic AI represents a radical shift in how users interact with their devices.
• Solara stands out as a complementary device for the enterprise segment, rather than acting as a smartphone replacement.
• This new solution solves the shared device problem in enterprises by focusing not just on identity and security management but also on reducing hardware costs through multi-user efficiency.
• The target segments that are expected to benefit most from this innovation include field-force and deskless workers across industries such as manufacturing, retail, and healthcare.

Project Solara: The New Microsoft Hardware Strategy

Microsoft has showcased one of its biggest AI initiatives, ‘Project Solara’, at the Build 2026 event. It is a newly designed platform specifically developed for AI-powered devices to streamline workflows. This represents a transitional shift from an app-first economy towards an agentic-first economy where users can execute even simpler tasks with the help of AI agents across devices and applications.

Microsoft has introduced two new reference devices, which are currently being tested internally to demonstrate Solara's capabilities.

• The first device is a Mediatek-powered smart display similar to Amazon Echo Show or Google Nest Hub, which is designed to serve as a persistent AI companion within office environments. The device acts as a secure AI hub offering facial recognition, context-aware assistance, and enterprise-grade security, making desk work more efficient. This is made possible using Copilot agents within the device, employing its touchscreen, camera, and voice features.
• The second device is an AI Smart Badge powered by Qualcomm, which is aimed at frontline workers. It is a portable neck-worn device capable of capturing conversations, authenticating users and providing real-time AI assistance throughout the day. It works by using microphones, sensors, and AI agents to capture context while on the move, providing hands-free assistance in activities such as check-ins for healthcare, retail, and field services.
  
  

  

Where Smartphones Can’t Go: Microsoft’s Enterprise Edge

• One of the most obvious things to ask about Project Solara is why enterprises would need an AI-enabled device while corporate workers have their smartphones, which are powerful enough to run advanced AI applications. However, the issue at hand is not technological but operational. There are numerous industries in which smartphones are prohibited or strongly discouraged.  Factories, medical establishments, warehouses, and critical infrastructure locations tend to prohibit personal gadgets because of security issues, distractions, their potential effect on certain operations or compliance measures required by laws. Thus, the point is not access to the AI device but access to the AI in a secure manner. Microsoft is positioning Project

Solara as a complementary device for usage in the enterprise segment, and specifically in places where smartphones are discouraged or prohibited.

• Most consumer devices are built with individual ownership in mind, but most enterprise settings are based on the idea of using common resources. A shared AI badge or smart display can be used by different individuals depending on the shift they are working, cutting down on device costs while providing easy access to AI in enterprises. In this way, users are authenticated based on who they are rather than the device itself.
• The aspect that could make this project truly appealing is security. Microsoft has been developing security, identity, and device management solutions in its business platform for decades and already has established relationships within the business segment. Because of this, it can offer AI-based hardware and security solutions suited to enterprise needs. Instead of trying to convince customers to accept yet another class of devices, Microsoft can simply provide what the market needs.

Learning from Rabbit: Why Solara’s Enterprise Bet is Different

• In the past, we have seen similar types of AI devices, for instance, Rabbit R1, launched in 2024. It generated significant excitement because it promised a new way of interacting with technology. The concept resonated well with investors and consumers because it went hand-in-hand with the popular notion of AI agents replacing software interfaces. Nonetheless, this approach did not pay off well. Despite demonstrating the possibilities of using AI for interactions, most people still could not figure out why they needed a separate gadget when their smartphone offered the same functionality over time.
• While other competitors such as Rabbit were attempting to position themselves as replacements for smartphones, Microsoft is targeting places where the smartphone may not be the appropriate device to use. The target audiences also differ sharply. Rabbit and similar AI-enabled gadgets were targeting the consumer market. Consumers were being asked to adjust their habits and carry another gadget with them. However, Project Solara is specifically designed to keep enterprise users in mind. It focuses on areas where current devices fall short.

Anchoring Copilot in Hardware: An Important Step for Microsoft

• By integrating Copilot into hardware using the Project Solara initiative, Microsoft has an opportunity to expand its dominance from the PC category into other areas such as wearables, smart displays, and enterprise devices by building strong connections with silicon partners such as Qualcomm and Mediatek, as well as enterprise players.
• It aims to define the next level of computing and gain first-mover advantage to compete with other global giants such as Google, Meta, Apple and OpenAI as these players are working towards building their own native AI ecosystems.
• Microsoft has decided to build Solara on top of Android rather than Windows so that it can run efficiently on low-powered devices while retaining enterprise-grade management and security capabilities.
• The goal is to provide users with a platform so that they don’t have to switch between various applications, and most of the tasks can be delegated to agents to access information, manage workflows and interact across multiple devices automatically.
  
  
  

What Agent-First Computing Unlocks

• The most immediate shift we expect is the move toward agent‑driven UI. The users will not have to click on various apps or go through different menus to get what they want. Instead, they will be able to communicate verbally and give commands using natural language. Voice is going to emerge as a natural input within this agent‑first design and will unify the overall user experience.
• Microsoft is trying to fill the device gap in the B2B space where it has traditionally been strong. Historically, it has led in software and enterprise services but been less dominant in hardware categories outside of PCs and Xbox. By introducing agent-native devices tailored for frontline workers, Microsoft is positioning itself to capture a segment where it can leverage its enterprise credibility and Copilot integration to deliver differentiated value.
• Solara will also open up multiple revenue streams and build a recurring revenue model around AI agents. Hardware sales themselves might remain limited, but the real opportunity lies in subscription services, enterprise licensing, and the agent ecosystem.
• Cross-device collaboration will be key. Currently, many smart devices operate in silos and work independently. With an agent-first approach, the ecosystem connection will be stronger than ever. The collaboration between hardware manufacturers, chip makers, developers and software vendors will have to be more active because all these devices and apps will use an agent-based framework.

The Economics for Enterprise

Consider an enterprise with 10,000 frontline workers in a manufacturing setup. Today, each worker who needs a device might be carrying a smartphone at roughly $500. Since a smartphone is a personal device, it is typically not shared across shifts. Microsoft has not disclosed any pricing, and these are reference devices, leaving hardware makers to decide the final price. However, assuming that the hardware makers can bring down the cost of the badge to the $250 - $300 range typical of purpose-built wearables, the badge alone costs 40-50% less than a smartphone. Share that badge across three workers on three shifts and the per-user cost falls below $100, roughly an 80% drop versus an unshared $500 smartphone. For 10,000 workers, the savings in hardware costs alone work out to $4 million.

The device is only part of the equation. Sharing of the hardware can also lower software costs if the licenses are not needed for individuals and can be tied to the devices. For many enterprises, the software license can also be shared, leading to further savings on account of fewer license-seat requirements. Other benefits include less device management, fewer compliance incidents, higher productivity, etc.

Potential Use Cases

The real test for Project Solara will not be the sophistication of its AI models but whether it can solve practical problems that existing devices struggle to address. Based on Microsoft’s interest in enterprise applications, we believe that this project focuses on solving problems related to acquiring and processing real-time data without the need for smartphones or computers.

• One of the clear application scenarios for such an AI-based wearable device is that of manufacturing and industrial activities. An AI badge would allow users to have immediate access to operational guides, technical specifications, troubleshooting tips, and any maintenance data by means of natural language queries. Workers can get immediate assistance from the AI rather than spending time searching manuals and contacting supervisors.
• Even if we look at the healthcare domain, the possibilities are enormous. Healthcare personnel are continually on the go during their shifts, moving from patient to patient and device to device. A purpose-built AI assistant would give easy access to patient records, document treatment history, and answer procedural questions without asking them to keep logging into other systems again and again.
• These devices might also be helpful in warehousing and logistics activities. For instance, inventory updates and route guidance can be delivered by using AI-enabled badges. It is also possible that voice commands will make data access more efficient and precise.
• Retail is another compelling case. Retail store employees are often required to seek information on the availability of products, promotions, the location of inventory, and customers' orders. With an AI-powered assistant, such queries can be answered instantly without having to dig into several other sources of information.

 The Hurdles Microsoft Must Clear

• Several crucial factors will influence the success of this solution. First, affordability - whether the solution offers an acceptable ratio of cost to usefulness. Second, users need assurance that their privacy will not be violated in any way due to the presence of a camera and microphone. Third, adoption will depend on whether users see an actual problem that is being addressed or additional value in their existing methods.
• An important challenge will be how well Solara devices support and work with existing enterprise systems. For instance, when Solara devices are deployed in hospitals, will the smart display and AI badge work effectively together with electronic health records, patient monitoring systems, and workstations for shared use? Failure to do so means that workflows will be inefficient; however, success in doing so will lead to more effective and cost-efficient Solara applications using shared AI.
• Commercialization and building go-to-market partnerships will also be a challenge. Microsoft has said it will not build these devices itself, so it depends on hardware partners to manufacture them, set prices, and ship on time. Revenue also depends on enterprises paying recurring fees for agents and management on top of what they already spend on Microsoft 365. Sales cycles in this market are long, integration with existing systems takes time and workers may resist always-on cameras and microphones.
• If a wearable Solara badge incorrectly transcribes a patient's allergy or an autonomous agent erroneously triggers an automated supply chain order, who absorbs the financial or legal liability? Microsoft and its partners need to answer difficult questions their clients will pose about trust, security, and data sovereignty.

Conclusion

Project Solara is not an attempt by Microsoft to make the next smartphone. It is an attempt to build the next enterprise endpoint by incorporating AI into work processes for everyday use. Provided it can clear the hurdles above (long sales cycles, reliance on hardware partners for pricing and delivery, privacy resistance, and unresolved questions of liability) and show measurable gains in productivity, compliance, knowledge access, and operational efficiency, these use cases could become the basis for an entirely new class of enterprise computing.

In practical terms, this would facilitate new partnerships and business models whereby OEMs can work more directly with Microsoft to incorporate Copilot agents in their hardware, and enterprise solutions providers can design processes across multiple device types. The deciding factor, though, may be less about the hardware than about whether enterprises will pay recurring fees for agents and management on top of what they already spend on Microsoft 365. That, more than the devices themselves, will determine how far Solara goes.