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Making AI an asset, not an expense

Technology

United States

Iniciado September 30, 2026

When customers talk about AI costs, the conversation usually starts with token prices and ends with access to the latest, most capable model in the cloud. Do they always need that level of capability? Not necessarily. But that is often where the conversation goes. As AI moves from experimentation to production, model choice is only…

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Making AI an asset, not an expense

MIT Technology Review (United States) | Sep 29, 2026

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CLAIM Publicado por admin • Sep 30, 2026

The competitive advantage gained from AI adoption justifies the initial investment costs.

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CLAIM Publicado por admin • Sep 30, 2026

Investing in AI can lead to greater efficiency and cost savings in business operations.

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CLAIM Publicado por admin • Sep 30, 2026

Businesses should prioritize training employees to effectively use AI tools to maximize their value.

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CLAIM Publicado por admin • Sep 30, 2026

Businesses need to establish clear metrics for evaluating the ROI of AI investments.

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CLAIM Publicado por admin • Sep 30, 2026

Focusing on AI as a cost center rather than a strategic asset can hinder innovation.

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CLAIM Publicado por admin • Sep 30, 2026

Smaller businesses may find that the costs of implementing AI exceed the immediate benefits.

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CLAIM Publicado por admin • Sep 30, 2026

Relying solely on expensive AI tools can lead to budget constraints and inefficiency.

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CLAIM Publicado por admin • Sep 30, 2026

AI should be integrated gradually into existing workflows to minimize disruption and maximize acceptance.

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CLAIM Publicado por admin • Sep 30, 2026

Companies should evaluate AI investments based on specific operational needs rather than the latest technology.

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CLAIM Publicado por admin • Sep 30, 2026

AI has the potential to create new revenue streams and enhance customer experiences.

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