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The article argues that most businesses need AI agents for automating repetitive workflows rather than just chatbots, and provides a framework for implementation to achieve higher ROI.
A discussion thread asking about real-world ROI from AI agent workflows in areas like software development, research, customer support, operations, sales, and data analysis, seeking architecture details, metrics, and lessons learned.
An article discussing strategies and business plans for making artificial intelligence profitable.
Companies are realizing that forcing non-deterministic AI into zero-error business environments is counterproductive, leading to budget cuts and failed pilot programs as ROI remains elusive.
Scott Galloway and Ed Nelson discuss the rising costs of AI adoption, with companies like Uber, Microsoft, and Salesforce reporting that AI expenses are exceeding budgets and not yet delivering clear ROI, suggesting a potential market correction.
Companies are cutting junior roles due to AI capabilities while admitting they cannot prove AI ROI, risking the future pipeline of senior talent. Uber, Microsoft, and Duolingo are cited as examples.
A case study shows that using an AI agent to generate content for 200 creators yielded 25,638 downloads and $6,635 MRR from $2,352 spent, achieving $0.09 per install and 2.82x ROI, outperforming traditional TikTok ads.