GenAI is shifting from experimentation to a strategic stage. Enterprises now prioritize measurable ROI, industry-specific customization, and tools that truly perform over mere clout. More insights on the state of GenAI from our co-founder Tomaz Suklje, particularly the main reasons for accelerated adoption across enterprises 👇
In the past, 𝗚𝗲𝗻𝗔𝗜 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝘂𝘀𝗲𝗱 𝘁𝗼 𝗯𝗲 𝗹𝗼𝗼𝘀𝗲 𝗳𝗿𝗼𝗺 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗼𝗯𝗷𝗲𝗰𝘁𝗶𝘃𝗲𝘀. The focus was more on novelty rather than practicality. ⏮ 𝗡𝗼𝘄, 𝘄𝗲’𝗿𝗲 𝘀𝗲𝗲𝗶𝗻𝗴 𝗚𝗲𝗻𝗔𝗜 𝘀𝗵𝗶𝗳𝘁 𝗳𝗿𝗼𝗺 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝘁𝗼 𝗰𝗼𝗿𝗲 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆. 🔄 𝗔𝗻𝗱 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀 𝗮𝗿𝗲 𝗺𝗼𝘀𝘁 𝗼𝗳 𝗮𝗹𝗹 𝗮𝘀𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝘁𝗮𝗻𝗴𝗶𝗯𝗹𝗲 𝗿𝗲𝘀𝘂𝗹𝘁𝘀: 1. Immediate value beats the fear of the unknown. Only 1% decision-makers choose based on familiarity. 2. As long as GenAI delivers immediate, measurable value and personalization, people no longer care how popular the tool is when they make a decision: - The need for easily quantifiable ROI counts for 30% - Capacity for industry/organization customization weighs 26% - Good reputation counts only as much as 1% 3. Enterprises need to see that GenAI actually “works on their machines”. The fastest way to see it happen is bottom-up, case by case, where bandages no longer stick: - 28% of cases are about enterprise research & retrieval - 27% focus on data extraction & transformation - 10% on workflow automation Get more data-backed insights from Menlo Ventures, in their State of Generative AI in Enterprise Report: 💎 https://lnkd.in/dYWNgYDV Or better yet, let’s talk about this.