Great Question: A Manufacturing Podcast Crystal Ball 2026: AI and Everything Else
9 snips
Jan 13, 2026 The discussion kicks off with insights on AI evolving from hype to real-world application in manufacturing. Data governance is identified as a key bottleneck hindering AI adoption. Experts predict a shift from pilot projects to full production, with a focus on training to fill workforce gaps. Physical AI is highlighted as essential for operations, while generative AI is reshaping vendor selection. There's also a warning about the need for readiness against AI-enhanced cyber threats. Ultimately, trusted data is seen as the competitive edge for manufacturers.
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AI Has Moved Into Real Implementation
- AI moved beyond hype and is in the middle of real implementation across engineering and security teams.
- Multiple surveys and reports show manufacturing AI is no longer theoretical but actively being deployed.
Data Governance Is The New Bottleneck
- Data governance is becoming the critical bottleneck slowing AI adoption in manufacturing.
- Manufacturers will demand AI tied to hard metrics and clear ROI or they'll reject investments.
Phase In Agentic AI For Repetitive Work
- Phase in agentic AI for high-volume repetitive tasks to bridge workforce skill gaps.
- Use AI to free humans for higher-value work while managing deployment pace.