Better AI won’t fix bad company data: Fuel Cycle’s Daryush Laqab

Daryush Laqab of Fuel Cycle highlights that poor data quality is a major obstacle for companies scaling AI agents, despite advances in AI models. McKinsey's 2026 survey shows rising AI adoption but also data limitations hindering progress. Laqab urges firms to invest more in data quality, testing, and validation to realize AI's full potential within their unique enterprise contexts.