Since generative AI is still a nascent technology, the general sense from Gartner, InfoWorld, and others, is that it will remain a smaller line item in the budget, but greatly increased from before (~3.5X what was originally anticipated). Our respondents offered some areas where they already have definitive budgets in place: - Vendor Solutions from Existing Providers - Gen AI Data Management - Gen AI Evaluation - Gen AI Security - Foundational Model Training and Fine-Tuning - Gen AI Observability - Gen AI Orchestration - Infrastructure to Build Our Own LLM Models - Gen AI Regulation and Trust So right now, existing vendors are leading the charge, with buyers looking to trial additions to their current product lineups (GitHub, Slack, Tableau, Salesforce, etc.). There’s safety in buying from known entities, and for now, the big names are making the largest investments. For those looking to build their own solutions, it’s clear that teams are in the early innings, focused on evaluating early use cases, and organizing/securing their data. Anything more sophisticated than that is being put on the backburner for the time being. , Senior Director, Global IT, IQVIA “Generative AI will be a transformational journey over the next five years. The impact to quality and speed of insights will be invaluable to every industry and will break down silos impeding the creation of new business models. Risks to margins, privacy, and security controls will exist just as they did during the cloud transformation a decade ago, but this will not stop the continuous improvement journey.”