Software companies, particularly those in the SaaS sector, are facing a significant market downturn, with valuations plummeting due to investor fears that AI agents will displace traditional software applications. This "software stock meltdown" has prompted many companies to resort to aggressive financial maneuvers, such as share buybacks, to stabilize their stock prices and restore investor confidence. Salesforce, for example, executed a $25 billion debt-funded accelerated share repurchase, contributing to a record $27 billion in buybacks in a single quarter. Adobe has also spent nearly $16 billion on buybacks over 18 months. These actions are intended to signal strength and return cash to shareholders, but analysts remain skeptical, noting that buybacks alone do not address the fundamental threat posed by AI.
Beyond buybacks, executives are making personal commitments to demonstrate confidence. ServiceNow's leadership canceled scheduled stock sales, and its CEO personally bought $3 million in shares. Figma's CEO, Dylan Field, went a step further, forfeiting approximately $46 million in stock awards to reassure investors amidst AI disruption fears, which had seen the company's shares fall over 50% in 2026. However, some of these efforts, like Zoom's AI-powered avatar of its CEO, have been criticized as "gimmicks" by analysts who emphasize the need for real financial results and sustainable growth, not theatrical gestures.
The core of the problem for these legacy software companies is a dual threat: AI models are increasingly capable of performing tasks traditionally handled by their products, and new AI-native startups are offering competitive solutions at lower price points. This has led to a shift in pricing models for AI, with major providers moving from flat fees to usage-based pricing. This change, coupled with the popularity of resource-intensive AI agents, has dramatically increased the cost of AI for businesses. Uber, for instance, reportedly spent its entire 2026 AI budget by April, and nearly half of 2,145 global business leaders surveyed by KPMG scaled back AI agent use due to costs outweighing benefits. Companies like Atlassian are implementing token caps to manage employee AI usage, and OpenAI's Sam Altman noted that rising AI costs have become a "huge issue" for businesses.
Companies like Salesforce are under pressure to prove that AI integration will generate incremental revenue rather than merely substitute for declining core subscription revenue. The success of companies like Palantir and Snowflake, which occupy upstream infrastructure positions (data platforms, cloud infrastructure, AI model access), suggests that companies with foundational AI roles are better positioned to weather the disruption. Other companies are developing routing tools to pick the most cost-effective AI models for tasks to avoid vendor lock-in and manage expenses. The current strategies of legacy SaaS companies are widely seen as attempts to buy time, with analysts like Morgan Stanley's Andrew Slimmon arguing that post-crash buybacks indicate a defensive posture rather than underlying strength.
