As AI continues to democratize expertise, organizations are moving from rigid org charts to more fluid, outcome-driven "Work Charts" that flex with the needs of the business, drawing on the right mix of humans and agents to get the job done.

Work Charts are structured not around functional expertise but around jobs that need to be done. This represents a fundamental shift in how organizations structure themselves and allocate work.

The report finds that 46% of leaders say their organization is using agents to fully automate workstreams or business processes for entire teams or functions, with significant regional variations:

Country-specific adoption rates show even more variation, with Taiwan (58%), China (57%), and Singapore (56%) leading the way, while countries like the US (34%) and Poland (33%) show lower adoption rates.

To maximize the impact of human-agent teams, organizations need a new metric: the "human-agent ratio." Leaders must determine:

• How many agents are needed for which roles and tasks
• How many humans are needed to guide them

This ratio will be task-specific and critical for organizational success. Organizations must consider:

• When human and digital labor outperform AI alone
• When customers prefer human interaction
• When society expects human responsibility for consequences (like high-stakes product or finance decisions)

The right mix of humans and agents will define how work gets done and how success is measured across different business functions. Whether it's a customer conversation, a strategic decision, or a product launch, knowing how to staff the right mix of humans and agents will be crucial.

According to the report, the top AI investment priorities for organizations are: