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AI investors say cheaper open-weight models can handle most routine tasks

Aaron Jacobson of NEA argues that businesses don’t need frontier AI for every job, as open-weight models become good enough and cheaper.

Aaron Jacobson, a partner at New Enterprise Associates, explained that the AI industry is moving away from the assumption that bigger, more powerful models are always required. He said open-weight models are improving rapidly, offering lower costs and easier customization, which makes them suitable for a wide range of standard tasks. Frontier models from companies like OpenAI and Anthropic remain valuable for highly complex or long-horizon problems, such as extensive planning or secure code generation.

However, many enterprises are hesitant to adopt Chinese-origin open-weight models due to data-security worries, leading them to either use less capable domestic models or pay for closed-source options. Recent pricing data shows Anthropic’s lower-cost Opus 5 gaining traction, underscoring the competitive pressure on premium AI services. Jacobson predicts the next decade will focus on efficient model use rather than continual scaling.

Why it matters

Understanding the trade-off between cost and capability helps businesses choose the right AI tools and shapes the future AI market.

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open-weight modelsfrontier AIcost efficiencysecurity concernsenterprise AImodel selectionAI pricing pressure
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