Scaling AI starts with people, not technology | MarTech
Briefly

AI's potential lies in reshaping entire organizational roles rather than just enhancing tasks. Many companies invested an average of $1.9 million in generative AI, yet fewer than 30% of CEOs are satisfied with the ROI. This dissatisfaction stems from treating AI as an add-on rather than an integral transformation. To effectively scale AI, businesses must foster a culture of curiosity and openness. Understanding full workflows and leveraging the capabilities of AI agents can blur traditional roles, facilitating better collaboration and decision-making processes across teams.
Organizations that leverage AI at scale are transforming entire roles rather than simply enhancing tasks. This requires a shift in how work is done across teams.
Despite an average spending of $1.9 million on generative AI, fewer than 30% of CEOs express satisfaction with ROI, due to a lack of readiness and proper integration.
Curiosity is crucial in scaling AI; organizations with employees actively involved in change are statistically more profitable, indicating a need for an open mindset.
When AI agents automate and make decisions, traditional role boundaries become indistinct, necessitating a holistic understanding of workflows across departments.
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