Architecture AI Management Research Group Releases 9 Uncut Practical Demonstration Videos for Construction Business Tasks

AI adoption is rapidly expanding in the construction industry, along with a growing number of people who are unsure how to effectively utilize it.

LIFEFUND Inc. (Hamamatsu City, Shizuoka Prefecture; CEO: Takuma Shirato) has added 9 new video contents to the 'Construction-Specific Platform' provided by the 'Architecture AI Management Research Group' and the 'Horiemon AI School Construction Campus'.

According to comparative surveys conducted by the Architecture AI Management Research Group in March and June 2026 (March n=53, June n=31), the number of companies successfully implementing AI organizationally increased from 43.4% to 61.3%, indicating an acceleration in the trend of incorporating AI into business operations. The survey also identified the top tasks people want to improve using AI: operational efficiency/automation (23%), design/blueprints (13%), and estimates/calculation (10%). Furthermore, management's top requirements for AI are 'success cases and roadmaps' (35.5%) and 'practical learning environments' (32.3%). Many companies still struggle, stating, 'We've introduced AI, but we don't know how to use it for specific on-site tasks.' The purpose of adding these videos is to elevate companies from this stage to the point where they can 'reproduce the process in-house starting the day they watch it.'

These 9 new videos are demonstration-based content that covers these site-specific needs, recorded directly in real-world architecture, renovation, and design environments.

We have newly added 9 demonstration videos covering major business areas of the construction industry. From contracts, field management, design, and accounting to sales promotion and estimation, we have compiled 'instantly effective' ways of using AI for a wide range of job roles, from back-office to the field.

Each video is approximately 10 minutes long, structured as '1. What results were achieved → 2. How it was done → 3. How to apply it to your own company,' demonstrating the entire process from input to AI processing and final output without any cuts.