Samsung Display Declares ‘Era of Smarter’ at K-Display 2025… Accelerating Display Paradigm Shift with AI
Display paradigm shift with AI, Source: Samsung Display
At the K-Display 2025 Business Forum held from August 6 to 9 last week, Seongchan Cho, Vice President of Samsung Display, delivered a presentation titled “Display Paradigm Shift with AI,” explaining that, against the backdrop of evolving usage patterns across smartphones, tablets, and smart monitors and the advancement of communications and cloud infrastructure, the trend of “carry small, view big” is spreading and displays are being redefined as the core of the next-generation human–machine interface (HMI).
He noted that OLED has achieved major advances in perceived image quality—such as contrast, response, and color reproduction—and that it is now time to leap forward into a stage of intelligent optimization that simultaneously improves power, thermal, optical, and algorithmic performance. In particular, he outlined three clear pillars for AI.
First, with AI-designed OLED materials, the company will accelerate materials discovery and property prediction to improve key metrics such as lifetime, efficiency, and color purity more rapidly. Second, in panel architecture optimization, AI-driven design and simulation will shorten multivariable trade-offs across light extraction, encapsulation, and color conversion. Third, under “AI on Display,” the company will emphasize a strategy that dynamically operates features for health, security, and power saving by recognizing usage context. Power optimization and perceived user quality were also central messages.
The company introduced an approach that reduces unnecessary power consumption through control of the off-pixel ratio (OPR) and region-specific frequency optimization, while structurally lowering optical losses such as polarization loss. At the same time, based on the concept of “perceptual image quality”—that contrast and color optimization determine readability and fatigue even at the same luminance—the company stated it will comprehensively enhance contrast, color accuracy, and uniformity to elevate perceived sharpness.
The roadmap for the XR era was also made clear. By combining high-density, high-brightness OLEDoS microdisplays compatible with lightweight optics (such as pancake lenses) with ultra-low-latency driving and improvements in viewing angle and uniformity, the company aims to reduce fatigue in long-wear scenarios, while presenting practical use cases in which multimodal inputs—such as eye gaze, hand gestures, and voice—are processed by on-device AI. This aligns with the direction of “smart displays,” which integrate and optimize power, thermal, optical, and algorithmic factors under device battery constraints.
The health, security, and power-saving focus of “AI on Display” was also presented in concrete terms. On the health front, the company pointed to organic photodiode (OPD)-based biosignal sensing and adaptive contrast/color temperature control to reduce eye strain; on security, smart privacy displays and risk detection based on gaze and presence sensing; and on power saving, dynamic operation that reflects content, environment, and user status to maximize battery efficiency.
The company also demonstrated strong commitment to environmental and safety (ESG) goals. It is pursuing a roadmap to substitute hazardous gases and chemicals used in silicon-oxide-based multilayer structures with safer substances and to phase out and replace high-performing yet environmentally burdensome materials such as PFAS. The company plans to raise environmental and safety standards in parallel throughout large-format, high-integration, and wearable expansion.
At its exhibition booth, Samsung Display showcased exhibits that concretize this vision. Through microdisplay engines/modules for XR, lightweight-optics-compatible reference designs, and interaction demos under the “AI on Display” concept—such as gaze-based focusing and variable-resolution/brightness driving—the company highlighted its capabilities in the integrated optimization of panels, optics, and algorithms.
Changho Noh, Analyst at UBI Research (chnoh@ubiresearch.com)
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