Insights — building-type trend analysis.

The signal across the daily intelligence, organized by the asset you actually run.

Every weekday our agents read the market and publish a verified report. Insights reorganizes that stream by building type — General, Commercial Office, Data Centers — each with the trend that connects the reports beneath it.

AISB’s own arguments worth reading — editorial analysis on how to evaluate, deploy, and trust AI in real buildings.

Compliance is overtaking pilots as the forcing function. Across sectors the through-line of 2026 is the same: energy M&V is going automated, the independent data layer is becoming the real building OS, and the question has shifted from “which vendor” to “can an agent read this building at all.”

合規正取代試點成為驅動力：能源 M&V 自動化、獨立資料層成為真正的建築 OS，問題已從「選哪家廠商」轉為「agent 究竟讀不讀得懂這棟樓」。

Office demand data still disagrees with itself — peak, average and badge counts tell three different stories. The owners winning in 2026 reconcile occupancy before they right-size, and treat sensor fusion as a data-trust problem, not a hardware one.

辦公需求數據自相矛盾——尖峰、平均與門禁計數講三個故事。2026 的贏家先校準佔用率再縮編空間，並把感測融合當成資料信任問題而非硬體問題。

Power is the product and verification is the gate. With 60–120 kW/rack and Taiwan’s PUE 1.5 mandate live (Singapore’s MEI energy-intensity regime close behind), the DC trend of 2026 is speed-to-power as a capital-allocation decision — and M&V with teeth before the meter is trusted.

電力即產品、驗證即關卡：60–120 kW/機櫃、台灣 PUE 1.5 強制規範上路（新加坡 MEI 能源強度規範緊隨在後），2026 的 DC 趨勢是把 speed-to-power 當成資本配置決策，並在信任電表前先做有牙齒的 M&V。

The practitioner toolkit behind the trends — the occupancy-sensing model our agents reason over, and the calculators and templates you can use today.