My Housing Magazine feature: as labor costs rise and smart systems mature, community management is shifting toward a hybrid "human by day, AI by night" model. My Housing invited WorldTrend Security Property Management Associate Manager Gao Yu-Heng and Taiwan Property Management Association Chairman Guo Ji-Zi to walk through how smart-system design, community scale, and accountability lines determine the right mix of humans and AI for your building.
WorldTrend's read: the key points
Where the market is: "smart" still means humans in the loop
My Housing points out that the vast majority of Taiwan's smart communities are still at the "monitoring system integration" stage — cameras, access control, vehicle lanes, visitor logs, a cloud app. But the AI hasn't yet reached autonomous decision-making and response, so humans still need to watch and operate. In practice, what communities call "smart" is really "equipment + people" — not "unmanned management".
Human vs smart system: very different cost structures
My Housing puts the two models side by side with real numbers:
- Human guards: roughly NT$150,000 per month per checkpoint (labor, shift rotation, seniority pay). The upside: on-the-spot judgement, mail handling, visitor reception — the work that needs "judgement" and "warmth".
- Smart system: roughly NT$15,000 per month, plus a one-time install of about NT$20,000. The upside: never sleeps, never tires, and can stitch multiple devices together as one.
- My Housing's month-long web poll: doorman 58% : AI security 42% — warmth still beats precision.
Scale decides feasibility: full smart-only fits small, low-rise, older buildings
Both interviewees agreed: fully smart-only management really only fits small low-rise / older buildings (20 units or fewer, a single tower, one simple entrance). Large communities — multiple towers, hundreds of units, multiple entrances, mixed office-residential use — still need a human on site to patrol and handle the unexpected. Before choosing, the management committee should inventory: how many units, how many entrances, how much commercial use, are there special spaces like a gym, banquet hall, or underground parking — then decide the human-machine ratio.
Accountability: when something breaks, who's responsible?
My Housing flags an issue that gets overlooked: a smart-system stack involves multiple vendors plus the management committee, and when it fails, accountability blurs and the finger-pointing starts. A sensor dies — who fixes it? The cloud platform drops — who's liable? An app push notification is missed — who answers for it? By contrast, a human guard's lines of responsibility are clear. The article's recommendation: when procuring a smart solution, confirm whether the integrator commits to one-stop responsibility, and that the SLA (service-level agreement) is written tightly — so that, when something goes wrong, no one passes the buck.
The mainstream trend: human by day, AI by night
With labor costs rising every year and younger guards harder to recruit, My Housing observes that "human by day, AI by night" is becoming the mainstream model — people during the day for mail, visitors, and community affairs; AI video plus central dispatch at night to reduce overnight headcount. This is also the heart of WorldTrend's combined service: Eagle Eye Video Security plus the AI Eagle Eye CloudPatrol Squad — daytime guards plus nighttime AI video replacing part of the headcount, so the budget goes further.
What this means for the reader
For home buyers, management committees, and residents, the article delivers a practical reminder: don't be dazzled by the words "fully smart" — AI security doesn't mean zero people; it shares the load across different hours and different jobs. Community size, clear accountability, and who carries the can when something goes wrong will all shape your experience. When picking a security and property partner, evaluate the right "human + machine" ratio — not a black-or-white choice.