The article argues that application software is becoming obsolete as AI transforms the software industry. With the rapid evolution of AI models, companies face intense pressure to adapt quickly or risk falling behind. Startups have a narrow window, about 9-12 months, to establish themselves and create lasting value, which contrasts sharply with previous tech cycles that allowed for slower growth. The author highlights ongoing discussions in industry circles, including a recent conversation on X, emphasizing that the pace of change in AI is creating a challenging environment for new entrants. A significant trend is the shift towards data-driven "agents" that will automate tasks across enterprises. The piece outlines how major companies like Salesforce and SAP are adapting their strategies to consolidate data management and enhance operational efficiency. This consolidation aims to lower total costs and centralize data handling, which will eventually allow AI agents to take over tasks traditionally performed by humans. The need for strong tooling in governance, analytics, and security remains critical as companies prepare for this shift. Despite the excitement surrounding AI, the article stresses that widespread adoption in enterprises is still years away. Change management will be a significant hurdle, as businesses need to rethink workflows and operations in light of AI’s capabilities. The author cites Satya Nadella, who believes that the transformation could take 20-25 years, compressing lessons from the industrial revolution into a much shorter time frame. Furthermore, the current limitations of AI agents necessitate a longer timeline for development, as they lack the necessary intelligence and adaptability to replace human workers effectively. The author also notes that while consumer applications of AI are advancing rapidly, many enterprises have yet to implement their first AI projects.