AI & Futurecasting: Preparing Work, Not Just Workers

# Why futurecasting matters for insurance AI is changing work faster than past technologies. Rather than ask whether AI will affect roles, leaders should ask what will change inside the organization over the next three to five years. For insurance firms, that means examining how claims, underwriting, actuarial work, customer service, development, and compliance will actually be performed when AI is part of the workflow.

# What futurecasting is Futurecasting is a structured way to examine work before change arrives. Instead of starting with jobs, teams break roles into the activities people perform. For each activity they assess: could AI make it faster? Will human judgment become more important? What new tasks might appear? The goal is to be directionally correct now so the organization can prepare before changes become urgent.

# composition

• Claims: AI can reduce time spent on file documentation, shifting human effort toward resolving complex customer situations.
• Underwriting: Information gathering can be automated, increasing the relative importance of risk judgment.
• Customer service: Routine inquiries may be handled by AI while representatives spend more time on empathy and unusually complex cases.
• Software development: Code generation accelerates, but requirement definition, integration, testing, security, and adoption become bottlenecks.

These shifts are uneven across activities, creating lumpy progress where some tasks advance quickly and adjacent tasks do not.

# From efficiency to opportunity Leaders commonly view AI through efficiency gains. Futurecasting reframes the question: what will you do with the capacity that AI frees? Options include asking people to do more of the same, or reallocating time toward innovation, stronger customer relationships, better decision-making, coaching, and strategic projects. That choice will shape culture as much as technology.

A mutual insurer used structured workshops to break roles into activities and map potential AI effects. Three consistent themes emerged:

• Higher-value human work expanded as administrative effort declined, increasing demand for collaboration, critical thinking, governance, and cross-functional decision-making.
• Speeding one activity often created new pressure elsewhere in the workflow, requiring anticipatory staffing and skill shifts.

These insights led leaders to plan for new capacity needs and skills rather than assuming headcount reductions or full role replacement.

# Concrete next moves for leaders

• Map key roles into their component activities. Focus on workflows, not job titles.
• For each activity, assess likely AI impact and whether human judgment increases or decreases.
• Identify where accelerated activities will create downstream bottlenecks and plan capacity accordingly.
• Decide how to allocate freed capacity: more volume or higher-value work such as customer engagement, coaching, or innovation.
• Build targeted skills and governance around the activities that will grow in importance.

# Bottom line