Next-Gen Metal Fab

Digitizing information and AI in the changing job shop with Sunny Han

2026-03-18 · 09:30 UTC ·Fabricators and Manufacturers Association ·1 min read

Brief

Manufacturing digitization is the focus of Tim Heston’s conversation with Fulcrum founder Sunny Han. They argue that AI in metal fabrication will be constrained until shops convert paper- and spreadsheet-based workflows into accessible digital records. The discussion centers on practical shop-floor uses such as quoting and scheduling, while also warning that retiring workers may take critical know-how with them if companies fail to capture it systematically.

Why it matters

Sunny Han, founder of Fulcrum, argued that many fabrication job shops still run on spreadsheets, paper records, and undocumented institutional knowledge, creating “information waste” that blocks meaningful AI adoption until operational data is digitized and accessible.

Key details

  • Han said better data flow and real-time analysis could change core shop functions including quoting, production scheduling, job costing, profitability analysis, and response to shifting market conditions.
  • Tim Heston and Han highlighted workforce-retirement risk: when experienced employees leave, tribal knowledge can disappear with them, making data visibility and digital systems a potential competitive advantage for fabrication companies and a prerequisite for more distributed manufacturing.
Source evidence

title: Digitizing information and AI in the changing job shop with Sunny Han
author: Fabricators and Manufacturers Association
contenttype: podcast
publication: Next-Gen Metal Fab
published: 2026-03-18T09:30:00+00:00
sourceurl: https://www.thefabricator.com/podcast/episode/next-gen-metal-fab/digitizing-information-and-ai-in-the-changing-job-shop-with-sunny-han

word_count: 182

In this episode of the Next-Gen Metal Fab Podcast, host Tim Heston speaks with Sunny Han, founder of Fulcrum, about the role digitized information plays in preparing fabrication shops for adopting AI. Tim and Sunny discuss how many job shops still rely on spreadsheets, paperwork, and institutional knowledge that lives in people’s heads, and why before AI can deliver meaningful insight, that information must be digitized and accessible. Sunny also talks about how faster information flow and real-time analysis could reshape how shops quote work, schedule production, analyze profitability, and respond to changing market conditions. The conversation also explores the risks of information loss as experienced workers retire and why improving data visibility may become a key competitive advantage for fabrication companies. In this episode: Why “information waste” still slows many job shops Why digitization is essential before AI can help manufacturers How AI could change quoting, scheduling, and job costing The risk of tribal knowledge disappearing as experienced workers retire What the future may look like for distributed manufacturing Comments, questions, or sponsorship opportunities: podcast@fmamfg.org . Learn more about FMA memberships.