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AI in US Manufacturing: Ambition vs. Reality

Vikrant Labde

Co-founder & CTO

01 September, 2025 | 10 min read
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blog

AI in US Manufacturing: Ambition vs. Reality

Vikrant Labde

Vikrant Labde

Co-founder & CTO

01 September, 2025 | 10 min read

Share

Social Media Share Buttons

AI in US Manufacturing: Ambition vs. Reality

Across the US, manufacturers are investing heavily in AI to improve efficiency, quality, and profitability. But while the ambition is strong, the reality often lags behind. Many firms test AI but can’t scale it. Others face poor data foundations, legacy systems that don’t integrate well, or lack the skilled talent to manage and adopt AI effectively. The result? Missed ROI, stalled initiatives, and rising costs without clear benefits.

This infographic highlights the current state of AI adoption in US manufacturing, the top reasons why projects fail, and the core capabilities manufacturers need to succeed. It also shows how Turinton’s Insights AI addresses these challenges head-on—by unifying data across systems, simplifying adoption with no-code tools, ensuring compliance, and enabling controlled, scalable growth. For leaders aiming to turn AI into measurable outcomes, this is a roadmap for cutting through the hype and building real business value.

Download the infographic to see the full breakdown and discover how you can transform AI ambition into lasting impact on your factory floors and enterprise operations.

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About Author

Vikrant Labde

Co-founder & CTO

Vikrant Ladbe is a technology leader with 20+ years of experience, specializing in cloud-native applications, IoT, and AI-driven systems. He scaled a successful enterprise acquired by LTIMindtree and has led large-scale digital transformation initiatives for global clients.

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