Why 69% Say Legacy Systems Are Blocking AI's True Value

Organizations have moved past AI experimentation, but results remain uneven. Many have deployed copilots and chatbots, yet struggle to translate adoption into measurable value. Legacy infrastructure, siloed data, and disconnected systems limit AI’s integration into workflows, leaving initiatives operating alongside work rather than within it.

New research shows deliberate modernization and integration drive stronger AI returns. It highlights what separates high-performing efforts from stalled ones, where value is emerging, and remaining barriers.

• Why modernizing legacy systems delivers strong returns
• How embedding AI into workflows drives outcomes
• Challenges slowing enterprise AI deployment