AI Lighting at the Guangya Exhibition: How Are Lighting Products Evolving?

When AI enters the lighting industry, what truly matters is not that lighting fixtures have been given a new label, but whether it can add new, perceptible capabilities to the products.

Exhibits at the 2026 Guangya Lighting Fair sent a clear signal to the industry: the integration of AI and lighting fixtures is moving from concept to reality.

In the AI lighting exhibition areas, health-focused lighting and circadian-rhythm lighting were prominently featured; some lighting fixtures began functioning as intelligent agents to facilitate interaction and deliver content services; and capabilities such as visual recognition and large-scale voice models are increasingly being integrated into specific products like study lamps.

These trends point to a single shift: AI is expanding the capabilities of lighting products. Lighting fixtures are no longer limited to emitting and adjusting light; they are now attempting to sense their environment, understand user needs, access services, and provide dynamic feedback tailored to different people and tasks.

Health and circadian lighting, smart devices, and educational lighting are emerging as the most distinct application areas for this capability upgrade.

Health-promoting lighting is not a new concept that has suddenly emerged. Light influences human alertness, sleep rhythms, and overall well-being through both visual and non-visual pathways, and relevant research has established a clear scientific foundation for lighting design.

An expert consensus published in *PLOS Biology* in 2022 proposed quantifiable lighting recommendations for daytime, pre-sleep, and sleep periods.

For example, the recommended minimum melanin-equivalent illuminance for the eyes during the day is 250 lx, while it is recommended to keep it below 10 lx during the three hours before bedtime. What is being measured here is not desk-level illuminance, but rather the light entering the human eye that can influence the circadian rhythm system.

The International Commission on Illumination (CIE) also noted in its 2024 *CIE Position Statement on Integrative Lighting* that research into the effects of light on health, behavior, and well-being is advancing continuously, and the application of this knowledge in lighting technology and practice is receiving increasing attention.

Traditional solutions typically adjust brightness and color temperature based on schedules or preset scenes. The integration of AI enables health-focused lighting to become even more dynamic and personalized.

When ambient light sensing, time information, user routines, and usage status are integrated into the system, algorithms can select lighting strategies based on real-time conditions and then coordinate adjustments to brightness, color temperature, and even spectral control.

This means that healthy lighting is no longer limited to a fixed set of parameters but can form a closed-loop system of “environmental sensing—status assessment—lighting adjustment—continuous feedback.”

For residential, office, educational, and senior-friendly settings, the value of AI lies not in creating more complex control methods, but in ensuring that the right light appears more naturally at the right time and in the right context.

Integrating large language models into lighting fixtures does not simply mean adding a Q&A interface to the product. A more valuable approach lies in organizing relatively general AI capabilities into interaction methods tailored to specific products, brands, and user groups.

By configuring role settings, voice tones, wake-up commands, knowledge content, service workflows, and user preferences, the same product foundation can be adapted for children’s companionship, family life, hotel services, or other niche needs, creating distinct expressions and experiences.

For product development, this approach offers the opportunity to reduce the need to rebuild AI functionality from scratch each time, allowing customization to focus more on the combination of roles, content, scenarios, and services.

For users, personalization goes beyond simply choosing a voice. The AI agent can gradually understand how users operate their lighting fixtures, what kind of lighting environments they prefer, and what requests they frequently make, then use this information to inform future interactions.

As a result, lighting fixtures will no longer be limited to a standardized menu of functions but may offer usage modes that better align with individual habits.

Whether an AI agent can deliver value still depends on whether the product involves ongoing interactions and service needs.

For low-frequency, single-function lighting fixtures, complex AI interactions may not be necessary; however, in scenarios involving companionship, content, services, or multi-device integration, such interactions are more likely to become a key differentiator for the product.

Educational lighting is a relatively concrete scenario where AI and lighting fixtures converge. The changes go beyond simply adding voice interaction; they enable lighting fixtures to “see” learning content, understand current tasks, and provide feedback through voice, visuals, or remote connections.

The key to such products lies not in how many AI features are added, but in whether they create a natural experience centered around continuous tasks.

For example, can a child seamlessly access audio readings or explanations while reading? Can parents participate when needed? And can the lighting adapt to different learning states, rather than having each capability operate in isolation?

This approach isn’t limited to education. Office lighting can be designed around focus, meetings, and collaboration; age-friendly lighting can address safety, daily routines, and companionship needs; while hotels and commercial spaces may link lighting to service responses and environmental management.

The ultimate form that AI lighting takes will largely depend on the specific context in which the product is used.

From dynamic adaptation of lighting to support health and circadian rhythms, to intelligent systems handling needs and services, to visual understanding and content feedback in educational settings, the integration of AI and lighting is becoming increasingly concrete.

It is not merely adding an isolated function to a light fixture, but rather establishing new connections between perception, understanding, interaction, and light control.

This has also transformed the R&D of lighting products from a single-discipline focus on optics or control into a systematic engineering endeavor:

sensing and vision are responsible for gathering environmental and task information; voice, screens, and touch handle interaction; algorithms perform decision-making and scheduling; and control and drive systems reliably translate the results into light.

If any one of these links is missing, AI may remain merely a demonstration. Truly implementable AI lighting ultimately depends on whether the system can operate continuously and stably in specific scenarios.