A $500 RL fine-tune of a 9B open model beat frontier models on catalog review
A report suggests that companies that prioritize AI-first workflows and organizational redesign see significantly higher revenue growth compared to those that do not. The data indicates that simply integrating AI tools without changing underlying business processes often leads to poor return on investment.
Why it matters
It highlights that the success of AI adoption in business is more dependent on operational restructuring than on the specific AI models used.
Since ChatGPT launched in 2022, business leaders have been asking the same question: what can AI do for us? The answer began with low-risk tasks: summarizing documents, drafting emails, producing first drafts that a human would edit.
It quickly moved into higher-value cognitive work, such as software development and content generation, and grew into more ambitious projects, like attempts to build an AI company brain , a system connected to internal knowledge, data, and tools that could coordinate work and eventually operate parts of the business autonomously.
While a lot of time, energy and tokens have been invested in AI adoption, measurable outcomes have barely been achieved at scale. However, some companies embraced being AI-first and saw enormous gains in productivity, revenue, and cost, while others lagged behind or failed to change their organizations enough to reach high ROI.
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