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Companies shift AI spending from larger models to cheaper task systems

CNBC Markets says the focus is moving to selecting models by specific tasks, cost, and control rather than leaderboard performance.

Reported · Written up by our desk · Sectors

Companies are increasingly choosing AI systems based on what they can do for a given use case, how much they cost, and the level of control they provide, instead of prioritizing which model is largest or highest on public benchmarks.

CNBC Markets reports that this shift reflects a broader change in how the AI race is being funded and deployed, with buyers seeking “cheaper, smarter systems” tailored to particular workflows.

The outlet says the decision-making process is becoming more practical and operational, emphasizing economics and manageability over pure model scale.

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