In 2024, financial markets were gripped by panic, as analysts suggested traditional Software as a Service (SaaS) companies were becoming obsolete in the face of generative AI technologies. The argument was that these AI models would enable businesses to create their own systems effortlessly, reducing the need for established players like Salesforce, Oracle, and SAP. This fear raised profound questions about the future of these companies amidst rapid technological advancement.

However, a strategic report by HSBC in the first quarter of 2026 revealed a different reality. Rather than being rendered obsolete, enterprise software has not only survived but has effectively co-opted AI, making it an integral component of their robust systems. This suggests that while generative AI has immense capabilities, it hasn't yet penetrated the specialized needs of complex enterprise environments, thereby affirming the continued relevance of traditional SaaS companies.

HSBC's strategic analyst, Stephen Percy, pointed out that large language models, despite their extensive knowledge, lack the managerial depth required in enterprise environments. He emphasized that forming a robust accounting or tax system for a multinational corporation necessitates strict adherence to nuanced regulations and real-time updates, which generative AI struggles to provide. This insight underscores the challenges that AI faces in fully displacing established enterprise software solutions.