"AI is like electricity when it was first introduced more than a century ago: People understood its promise, but didn't know what to do with it. That's where enterprises are with AI technology today: IT leaders know it will transform businesses, but are not yet sure how to implement it safely and securely - or how to see ROI from its use."
""AI by itself is not going anywhere," Seth said. "It will make this transition from people talking about what AI is to what AI can do." IT leaders want to make AI like electricity - flip a switch, and it turns on. But AI leaders face a long road ahead. At the turn of the 20th century, companies often hired chief electricity officers to bring power to the workplace and revolutionize factories."
"AI is going through similar growing pains involving the deployment of safe and secure models, and early results have been poor. A majority of experiments - up to 95%, according to one study - have failed, though successful projects in some places are now steering knowledge management, back-office functions and customer support. "We still don't understand how to best work with AI," Seth said. "We still don't understand how to build that team structure where AI is an equal member of the team.""
AI resembles electricity's early days: promise understood but practical applications and safe implementation remain uncertain. Enterprises recognize AI's transformational potential but struggle to implement models safely, securely, and with measurable ROI. Many early experiments fail—studies report failure rates up to 95%—though some deployments improve knowledge management, back-office operations, and customer support. Organizations must shed fear, involve employees, and develop team structures that treat AI as an equal member. Historical parallels show that technology adoption drives new roles, regulations, and industries. The path to reliable, switch-like AI adoption will be long and require governance and integration.
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