A consultant who called the AI software collapse almost a year ago says no part of the business will escape 'unscathed'

Nearly a year ago, Michelle Miller, a co-author of a forward-thinking study on the software sector, cautioned that the industry would face significant pressures from the rise of generative AI. Today, the software market is experiencing a notable decline in stock values, echoing the concerns Miller and her colleagues highlighted at AlixPartners last April. Miller, who leads the Enterprise Software Practice at AlixPartners, recently shared her insights on the current landscape. She attributes the recent downturn in software and SaaS stocks to several factors, including long-standing fears about AI disruption, outdated pricing strategies, overarching economic uncertainty, and emerging concerns about AI-based valuation models. Previously, investor expectations for growth drove valuations in enterprise software companies. However, the advent of AI has transformed these dynamics, leading to reduced growth prospects and declining multiples. Miller pointed to recent developments, such as Anthropic's Cowork, as examples of AI tools lowering entry barriers and disrupting traditional workflows. For those outside the tech bubble, Miller simplifies the situation: while software companies will remain essential, they must now demonstrate their ability to thrive in a rapidly changing business environment. The integration of AI is reshaping software development, governance, data security, market strategies, pricing, and overall business structures. Companies that can adapt to these changes will emerge as leaders, while those who resist will likely falter as industry standards evolve. Miller also discussed the implications of new AI tools like OpenClaw, which showcase the impressive advancements in AI technology. These tools are not just novelties but represent a significant leap in agent-to-agent interactions, enhancing the capabilities available to individual users. However, this progress raises urgent questions about AI governance and data security, particularly for businesses navigating open-source and shadow AI issues. Organizations are increasingly experimenting with AI tools across various departments. From product development to market strategies, companies are integrating AI to streamline operations and improve decision-making. Currently, over 30% of workflows in tech companies involve AI, and this figure is expected to grow significantly in the coming years. Despite this, a large percentage of AI initiatives are projected to fail, with many companies needing to transition from small-scale pilot programs to comprehensive operational overhauls to remain competitive. All areas of the software and SaaS industry are vulnerable to AI-driven disruption, with mid-market firms facing particularly acute risks. Miller predicts that by 2026, the mid-market sector may see significant consolidation, as companies are squeezed by slower growth and increasing competition from AI startups and major tech players. While some sectors may suffer more than others, certain software services will still be critical and potentially resilient against AI disruption. General-purpose productivity tools and workflow automation may see the harshest impacts, while companies with specialized platforms, particularly in regulated sectors like healthcare, may navigate these changes more successfully. The future will favor vendors who can adapt their offerings to convert static data into actionable insights.