Refining Workforce Decisions: How Petroleum and Chemical Organizations Are Using AI to Inform Span of Control

Petroleum and chemical organizations place high importance on span optimization, but their ability to analyze and manage span of control is divided across strong, moderate, and limited capability levels.

This research examines AI’s influence on span-of-control decisions, current adoption patterns, and the measures organizations use to evaluate success.

Key Takeaways

• Organizations are split in their ability to manage span of control effectively across teams and functions
• AI’s influence on span-of-control decisions is mixed, with respondents almost evenly divided across substantial, some, and little or no impact
• AI adoption extends beyond exploration for some organizations, while productivity, retention, and engagement are the most common measures of success

Click the View Now button to access survey findings on AI adoption, span-of-control management, and workforce priorities in the petroleum and chemical industry.