Concerns that AI agents could take over the role of conventional software have driven a sharp decline in software stock prices. Executives are now resorting to buybacks, rebrands, and even AI-generated versions of themselves to win back confidence. The central worry is that customers will abandon expensive enterprise suites in favor of AI-driven tools, a fear that has pushed down valuations across the sector.
Salesforce's Marc Benioff called the selloff a "market panic," while ServiceNow's Bill McDermott told analysts, "You can give us back the market cap." Salesforce has spent billions on buybacks. Adobe has also poured nearly $16 billion into buybacks over the past year. Workday brought back its co-founder as co-CEO.
These moves are meant to signal confidence and return cash to shareholders, but they have not stopped the slide. Zoom's stock remains far below its peak, and its AI-powered avatar of CEO Eric Yuan on earnings calls has become a symbol of the industry's struggles.
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"It's a clear sign of desperation," said Rishi Jaluria, an analyst at RBC Capital Markets. Citigroup's Tyler Radke added: "Don't get cute with AI gimmicks; investors want real numbers." The market is looking for evidence of sustainable growth and profitability, not theatrical gestures. The pressure is especially acute for legacy software companies that face the threat of disruption from generative AI models capable of performing tasks once handled by expensive enterprise suites.
This anxiety is not new. As generative AI models have demonstrated ability to automate complex workflows, investors have grown wary of the protective moats that legacy software once enjoyed. The fear is that companies will cancel recurring subscriptions in favor of AI-native alternatives, squeezing the revenue streams that have long funded generous buybacks and growth initiatives. In response, many firms are trying to adapt by embedding AI features into their existing products, hoping to retain customers without sacrificing current income.
Generative AI models are already capable of handling tasks that once required expensive enterprise suites, which is why investors are questioning whether traditional software licenses will remain necessary. Buybacks and product pivots may therefore seem insufficient unless they are paired with a clear plan for integrating AI without destroying existing revenue. The fear is not just about stock prices; it is about whether the products themselves remain relevant in an AI-first world.
Some companies, like Snowflake and C3.ai, are still growing, but the gains are concentrated in a few pockets. The broader sector remains under pressure, and many executives are scrambling to find a narrative that resonates with investors. Buybacks, while providing temporary support, cannot mask fundamental concerns about product relevance in an AI-first world. The challenge is to show that traditional software can evolve rather than be replaced.
What might actually work is a combination of aggressive capital returns and a credible product roadmap that integrates AI without cannibalizing existing revenue. For now, the market remains skeptical. The repeated use of buybacks and the occasional AI stunt have done little to reverse the downward trend.
Investors want to see real numbers - revenue growth, margin expansion, and clear evidence that AI is a tailwind rather than a threat. Until then, the sector's volatility is likely to persist.
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