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AI Opportunity Report 2018: Manufacturing Industry Deep Dive

$1,650.00

The Manufacturing industry, at $2.4 trillion in GDP, is a major piece of the United States’ $20 trillion economy. Its workforce earns slightly less than the median wage ($52,000 median annual salary versus $57,000 for the average U.S. worker), and it ranks second among all NAICS workforces for AI exposure.

 

This document, AI Opportunity Report 2018: Manufacturing Industry Deep Dive focuses on AI penetration and expected investment by Manufacturing subsectors – drilling down to the types of AI being deployed commercially and the degree to which workers are presently exposed to the AI that is available. Subsectors include: Plastic & Rubber Manufacturing, Machinery & Electronics Manufacturing, Food & Beverage Manufacturing, Metal Manufacturing & Fabrication, Textile Manufacturing, Transportation (Aircraft, Auto, Boat) Manufacturing, Petroleum or Chemical Manufacturing, and Printing.

 

The primary source for this report is Optimized Workforce’s “2018 AI Preparedness Survey” – a primary research effort that collected data from roughly 10,000 U.S. workers. The survey sheds some light on AI penetration rates across industries and job functions, the different types of AI technologies workers are using or preparing to invest in in 2019, and the readiness of workers to function in tandem with AI. Additionally, this report takes a task-based approach to quantify the efficiencies AI can bring to the subsectors of the Professional Services industry and the dollar-value of these efficiencies.

 

Key findings include:

  • More than 46% of U.S. Manufacturing workers are engaging with some form of AI today.
  • Robotics and document classification technology lead AI adoption.
  • Plastics and Rubber manufacturers are the most aggressive with AI deployment.
  • AI vendors could bring roughly $76 billion in efficiency to the Manufacturing industry this year (roughly 13% of payroll).

Use this data for: Future of Work Planning, Talent Strategy, Industry Benchmarking, AI Vendor Forecasts

 

Total Pages: 21

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