The Pre-Read Why AI Needs Humans
Oct 27, 2025
Brandon Buehler, a finance leader focused on resilient teams, joins Dina Musano, an accounting expert with practical AI concerns, and Eric Tremblay, who emphasizes data traceability. They explore how fear of job loss and losing data lineage hampers AI adoption in finance. Brandon highlights AI's role in enhancing data processes, while Dina stresses the importance of maintaining the human element in a tech-driven landscape. Eric shares real-world AI wins that free up time for more valuable work, framing AI as a supportive teammate rather than a replacement.
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Data Lineage Is The Real Bottleneck
- Fear of losing data lineage and control is the biggest barrier to AI adoption in finance.
- Newer generations are more willing to experiment with AI, reducing that adoption friction.
Embrace Continuous Reinvention
- AI adoption is accelerating a cultural shift toward continuous improvement and agility.
- Teams must be ready to iterate, 'throw grenades' and rebuild as tools and standards evolve.
Prep Data Before You Deploy AI
- Clean and strengthen your data and processes before deploying AI.
- Treat AI readiness as a forcing function to fix poor data governance now.