OpenAI and Meta are reportedly exploring a similar next step for AI: bringing assistant-style software into more dedicated hardware experiences. The development matters because it signals that major AI vendors are still looking for ways to move AI beyond websites, apps and chat interfaces, even though earlier standalone AI devices have struggled to win users.

For European businesses, the immediate issue is not whether AI gadgets will become mainstream overnight. The more practical question is how large platform companies may package AI assistants into future devices, workplace tools and customer-facing services, and what that could mean for procurement, security, support and digital strategy.

What happened

According to The Verge, both OpenAI and Meta are working on approaches that could use software agents as a stepping stone toward broader AI hardware ambitions. The article frames this as an effort to test demand for more personal, persistent AI experiences after previous dedicated AI products from other companies received weak market responses.

The report does not establish that these new efforts will succeed commercially, nor does it confirm a broad shift in enterprise adoption. At this stage, the significance lies in the direction of travel: leading AI companies appear to believe that AI agents may eventually be delivered through hardware formats, not only through phones and computers.

Why it matters for European businesses

Many SMEs are currently adopting AI through cloud software, browser tools, CRM integrations and productivity platforms. If major vendors increasingly connect AI assistants to dedicated devices or always-on interfaces, businesses may face new decisions about where AI is used, how staff interact with it and which platforms gain control over customer and operational data.

There are several practical implications:

• New interface layer: AI may become less tied to a keyboard or browser tab and more embedded in daily workflows, meetings, retail environments or service interactions.
• Platform dependence: If OpenAI, Meta or other large vendors control both the assistant and the device layer, businesses could become more dependent on their ecosystems.
• Data governance: Always-available assistants may collect more contextual information, raising questions around privacy, retention, access control and compliance.
• Unclear ROI: Earlier AI hardware products have shown that novelty does not guarantee business value. European companies should expect many products in this area to remain experimental.

For marketing and e-commerce teams, the longer-term relevance may be in how consumers discover products and interact with brands. If AI assistants evolve into more persistent intermediaries, companies may need to think not only about websites and apps, but also about how their content, catalogues and support information are surfaced through AI-driven interfaces.

Who may be affected

• SMEs and founders evaluating AI tools for productivity, internal support or customer service.
• IT and digital teams responsible for device management, access control, vendor risk and integration with existing systems.
• Marketing and e-commerce teams monitoring how AI changes customer journeys, product discovery and digital engagement.
• Regulated businesses that must assess privacy, data processing and record-keeping risks before adopting new AI endpoints.
• Digital agencies and technology partners advising clients on AI implementation and platform selection.

What companies should consider

• Focus on business use cases first: Treat new AI hardware announcements as exploratory unless they clearly solve a workflow, support or operational problem.
• Review data handling terms: Before testing device-based assistants, check what data is captured, where it is processed and whether it can be used for model improvement.
• Assess security and governance: Any always-on AI interface may introduce new identity, authentication and device-management requirements.
• Avoid ecosystem lock-in: Consider whether workflows built around one vendor's AI assistant can be moved or replicated elsewhere.
• Watch customer interaction trends: Businesses in retail, services and e-commerce should monitor whether AI assistants begin influencing search, recommendations or purchasing decisions.

At present, this is best understood as an early signal from major AI companies rather than a proven shift in enterprise technology. European businesses should pay attention, but should remain disciplined: practical value, compliance fit and operational control matter more than novelty.