Top Five AI Challenges of U.S. Companies

Proof Point

Top AI challenges identified by U.S. companies are trustworthiness, employee training, convergence with other technologies, measuring ROI and implementation, according to PwC

Top Five AI Challenges of U.S. Companies

2019 (percentage)

Note: Data based on PwC 2019 AI Predictions survey of 1,001 AI-savvy executives in United States last December 2018

Proof Point Findings

  • Artificial Intelligence (AI) – Software technologies autonomously performing tasks equal to or better than humans
  • Trust Issues – 37% of U.S. companies surveyed by PwC named ensuring trustworthiness of AI system as their top challenge for 2019
  • Training and Convergence – AI training for employees and managing convergence of AI with other technologies follows, with 36% of respondents each naming them as challenges
  • Investment and Initiatives – 31% of respondents expect difficulty in measuring AI return on investments, while 29% see moving AI initiatives from pilot to production challenging
  • Key Growth Drivers – Include accelerating sophistication of AI-based applications, increasing business adoption of AI technologies to improve processes and growing demand to leverage customer and business data to become more competitive

Accelerator

Business Model and Practices

Business Model
and Practices

Sector

Cross-sector

Function

Cross-Function

Source

Date Last Updated

February 14, 2019

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