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It's not enough to use AI: only 20% of companies manage to capture its true value
CL🏛️ PoliticsCenter5 hr. ago

It's not enough to use AI: only 20% of companies manage to capture its true value

The article discusses findings from a study by Endeavor Chile, supported by Oracle and Acid Labs, which highlights that while 88% of companies claim to have integrated artificial intelligence (AI), only 20% effectively capture its true value. The report emphasizes the importance of 'agentic AI'—systems capable of autonomous planning and execution of tasks—over traditional chatbots. Companies with mature AI adoption achieve returns 7.2 times higher than average and generate most of the economic value from this technology. The study analyzed cases like Klarna, Amazon, Mercado Libre, and Nubank, showing successful implementations involved granting autonomy to AI agents to perform specific tasks. Key factors for success included defining processes to automate, setting appropriate authority levels for AI, and measuring outcomes through concrete indicators such as cost reduction or revenue growth. The report warns against confusing AI adoption with success, stressing the need for clear metrics and responsible project management.

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La Tercera logoLa TerceraIndependent🔒Center5 hr. ago
It's not enough to use AI: only 20% of companies manage to capture its true value

The article discusses findings from a study by Endeavor Chile, supported by Oracle and Acid Labs, which highlights that while 88% of companies claim to have integrated artificial intelligence (AI), only 20% effectively capture its true value. The report emphasizes the importance of 'agentic AI'—systems capable of autonomous planning and execution of tasks—over traditional chatbots. Companies with mature AI adoption achieve returns 7.2 times higher than average and generate most of the economic value from this technology. The study analyzed cases like Klarna, Amazon, Mercado Libre, and Nubank, showing successful implementations involved granting autonomy to AI agents to perform specific tasks. Key factors for success included defining processes to automate, setting appropriate authority levels for AI, and measuring outcomes through concrete indicators such as cost reduction or revenue growth. The report warns against confusing AI adoption with success, stressing the need for clear metrics and responsible project management.

Bias read (Center): The article presents a balanced analysis of AI implementation challenges across various businesses, focusing on technical and strategic aspects rather than taking a partisan stance. It does not favor any particular political ideology or agenda, maintaining a neutral tone throughout.

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