Lead story – Modern AI contracting troubles – and how to avoid them
Pesky questions specialist Brian Sommer is back with a boatload: how can customers get their AI contracts right? Brian’s first warning? Headcount reductions may not result in contract savings:
– Headcount reductions may not lead to contract savings, as vendors may change pricing models to increase costs despite reduced user counts.
– Vendors can introduce new terms annually, affecting pricing stability and predictability desired by firms.
AI tools pricing ambiguity:
– Ambiguity in contracts regarding AI tools, such as chatbots, forecasting models, and algorithms, can lead to additional costs and disagreements on payment responsibility.
– Unclear responsibility for AI tool results poses challenges for companies deploying them.
Tips for customers:
– Create prenup agreements for applications to clarify responsibilities and financial duties in case of application changes.
– Negotiate contract terms before becoming a customer to avoid unfavorable terms later on.
Thoughts:
– AI contract negotiations are crucial for companies, especially regarding pricing trends and responsibilities.
– Generative AI may not be the best tool for headcount reductions currently, but it can streamline administrative tasks.
– Attention to user-based licenses and consumption-based pricing for AI apps is essential for cost management and efficiency.
ご意見：
– AI 契約交渉は企業にとって重要であり、価格傾向や責任についての明確さが求められる。
– 現在、生成AIは人員削減のための最適なツールではないかもしれないが、管理業務を効率化するのに役立つ。
– ユーザーベースのライセンスや消費ベースのAIアプリ価格設定に注目することは、コスト管理と効率性の観点から重要である。