The AI Forecasting Gap: What's Holding the Industry Back and What's Actually Working

If your forecasting process still runs on spreadsheets, manual assumption-gathering, and tribal knowledge, you're in good company. According to Axtria's 2026 Life Sciences Forecasting Benchmarking Report, 82% of pharma organizations have yet to apply AI to a single core forecasting assumption, even as AI tops every forecasting team's priority list.

This webinar brings together Axtria's 2026 benchmarking data and a seasoned forecasting practitioner to examine that paradox from the inside. The conversation is grounded in the actual constraints forecasters work with: small teams, complex stakeholder environments, analog comparisons, and assumptions that live in email threads and meeting notes. You can’t engineer around these; they're the core of the function. But they're precisely where GenAI has the most to offer.

Attendees will come away with a clear read on where the industry stands, where AI entry points exist that don't require rebuilding existing workflows from scratch, and what it takes to move forward with organizational confidence.