Smart Home Technology in the Luxury Market: What $5M Buys You in Automation in 2025
From Crestron to KNX to AI-driven climate control, the technology infrastructure expected in a prime residential property has never been more sophisticated — or more complex.
The automation specification of a serious luxury property in 2025 would have been recognisable, in outline, to anyone who specified such systems a decade ago: a centralised control platform managing lighting, climate, audio-visual, security, and access control, with a user interface accessible from wall-mounted panels, mobile devices, and voice commands. The change is in the degree of sophistication, the intelligence of the underlying systems, and the degree to which these systems are expected to anticipate occupant preferences rather than merely respond to explicit commands.
Crestron remains the dominant platform for ultra-prime residential specification in the English-speaking markets, with KNX more prevalent in continental European projects. Both are professional-grade systems requiring dedicated installers and programmers, and the complexity of a full-building installation — integrating lighting from Lutron Homeworks, climate from Daikin or Mitsubishi Electric, security from Paxton or CDVI, AV from Control4 or Savant — means that commissioning costs for a significant residential project can equal or exceed the hardware budget. The typical cost for a complete smart home installation in a 5,000-square-foot London apartment is £300,000–600,000 installed; for a comparable New York penthouse, $400,000–700,000. These figures do not include the ongoing support and maintenance contracts that the complexity of these systems necessitates.
The most significant development of the past 24 months has been the integration of large language model AI into residential control platforms. Systems such as Josh.ai — now integrated with both Crestron and Savant — allow occupants to issue natural-language commands that the system interprets and executes across multiple subsystems simultaneously. "Set the apartment for dinner for eight, with the Ravel String Quartet in the dining room, lower the sitting room blinds, and bring the wine cellar temperature up by two degrees" is a command that a Josh.ai-enabled system will execute without human programming intervention. The practical value for clients who travel frequently, entertain at scale, and maintain multiple residences is substantial: the transition between occupancy modes that previously required either a dedicated system manager or a resident who had memorised a complex programming logic is now a matter of a spoken sentence.
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