The ACEC Technology Committee’s Data + AI “Lunch & Learn” Session 2: Business Applications: Organizational Efficiency-The ACEC Technology Committee’s Data + AI “Lunch & Learn” Session 2 Business Applications Organizational Efficiency Recording

The ACEC Technology Committee’s Data + AI “Lunch & Learn” Session 2 Business Applications Organizational Efficiency Recording

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Video Summary

The video is a detailed session from ACEC's Technology Committee focused on AI and data applications in the architecture, engineering, and construction (AEC) industry. Led by experts like Thomas Grogan, Jamie Curtin, Brock, and Andy, the session is part two of a three-part "What We Build is a Lunch and Learn" series aimed at helping firms adopt AI technologies effectively.<br /><br />The presenters discuss the urgent "AI imperative," highlighting that 81% of jobs will be transformed by AI in the next five years. Despite this, current AI adoption in firms is low, with most still in early stages. Barriers include cultural resistance, risk concerns, and a lack of reskilling.<br /><br />They explain types of AI—base, generative, and agentic—and emphasize the importance of using established large language models (LLMs) like ChatGPT and Microsoft Copilot for safer, scalable implementation. Various AI business applications are explored, especially in proposal creation, contract analysis, HR, help desk support, safety planning, and CAD.<br /><br />Breakout groups share practical use cases, such as using AI to improve email tone, vet phishing emails, automate contract risk reviews, streamline CRM data intake, and organize data warehouses. They stress the importance of enterprise vs. public AI platforms for data security and advocate starting with simple AI use cases while building governance frameworks.<br /><br />The session closes with encouragement to experiment with AI, collaborate with consultants, and prepare for rapid consolidation in AI tools. Upcoming events will cover organizational maturity and AI risks, continuing ACEC’s mission to advance AI knowledge and adoption within the AEC industry.

Keywords

AI in AEC industry

AI adoption challenges

Large Language Models

ChatGPT in architecture

Generative AI applications

AI for contract analysis

AI in HR and help desk

AI-driven safety planning

Enterprise AI platforms

AI governance frameworks