SPONSORED AI at work: What helps vs. hurts teams
Businesses are rushing to adopt AI, but many deployments are creating more complexity than value.
TL;DR
- Half of employed American adults now use AI at work, a significant increase.
- AI scaling can be difficult, with rising costs and the need for clear long-term benefits.
- Cox Business increased average deal size by 35% by creating a shared AI knowledge base for sales enablement and marketing planning.
- Companies succeed most when they define the problem AI should address first.
- AI must be connected to clean, trusted data and integrated into workflows where decisions happen.
- Human value in AI lies in context and understanding how data correlates within a business.
- Government adoption of AI is happening faster than predicted.
- Employee behavior, including generational divides and concerns about job replacement, adds complexity to AI adoption.
- Effective AI integration involves controlled rollouts, focusing on business-critical processes, reshaping structures around outcomes, and centralizing direction while encouraging team exploration.
- AI works best when workflows are rethought, teams are reshaped around outcomes, and inherently human skills remain crucial.