Top Barriers Organizations Face in Adopting AI

Proof Point

Lack of clear strategy and skilled talent identified by McKinsey as top barriers of organizations in adopting AI in 2018

Top Barriers Organizations Face in Adopting AI

2018 (percentage)

Note: Data from McKinsey&Company survey of 1646 global companies; “don’t know/not applicable” and “other” responses are not shown

Proof Point Findings

  • Strategy and Talent – Lack of clear strategy (43%) and talent with appropriate skill sets (42%) identified by companies surveyed by McKinsey in 2018 as most significant barrier in adopting AI
  • Organizational Barriers – Functional silos contraining end-to-end solutions (30%) and lack of leaders’ ownership and commitment (27%) also ranked high in list of AI adoption barriers
  • 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

Source

Date Last Updated

February 15, 2019

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