BCG-人工智能在工作：人们在说什么（英）-2023.6-14页

Survey Overview and Key Findings

BCG's "AI at Work: What People Are Saying" survey gathered responses from 12,898 people across 18 countries to explore employer perspectives on artificial intelligence. Optimism about AI's workplace impact has increased, with concerns decreased, matched by findings on usage variations and skill gaps.

Main Summary Points

• Optimism Growth: Optimism about AI in work rose in several countries, with a 17 percentage point jump since 2018, while concern declined. Regular use of generative AI tools correlated strongly with higher optimism.

• Role-Based Differences: Leaders expressed greater optimism and lower concern compared to frontline employees, who were significantly less optimistic and about twice as concerned (26% gap). Only 26% of frontline employees use generative AI weekly, highlighting a usage disparity.

• Upskilling Needs: 86% of all respondents believe AI will require upskilling, but just 14% of frontline employees have received training on average. This skills gap is a major worry.

• Responsible Use and Regulation: Most employees (86% frontline, 68% leaders) fear inadequate company measures for responsible AI use; many believe AI-specific regulations are essential (29–79% across countries), with recommendations stressing ethical AI adoption and regulatory preparedness.

• Country Variations:乐观 and concern levels vary considerably by region, with findings showing sharp domestic differences—Brazil is the most optimistic country, while Japan shows lower overall concern—but overall trends show a united call for action.

Key Recommendations

1. Encourage company initiatives for responsible and regular AI experimentation to build employee comfort.
2. Invest in continuous upskilling for all roles, given AI's rapid evolution.
3. Prioritize a responsible AI program to address employee concerns and prepare for potential regulations.

The survey underscores AI's positive potential but also raises concerns for the future, emphasizing unequal access and necessity for organizational changes.