U.S. software stocks climbed in premarket trading on Tuesday, extending a tentative recovery in a sector that has been under sustained downward pressure. The session's gains were led by ServiceNow, and were broad enough to lift other enterprise and application software names as investors reassessed valuation and risk following a pronounced selloff.
Market movers
ServiceNow paced the advance with a 3.8% increase in premarket trading - following a more than 8% gain on Monday. Workday rose 1.6%, Zscaler added 1.4%, and Salesforce was up 1.0%. Intuit also moved higher by 1.4%. The iShares Expanded Tech-Software Sector ETF, which tracks a wide basket of software companies, inched up 0.5%.
Those moves suggest parts of the software sector may be stabilizing after a protracted period of underperformance. Market participants have spent months debating whether the rise of large language models and AI-native applications could supplant traditional enterprise software offerings - a concern that contributed to the sector's decline.
Performance gap with semiconductors
The divergence with chipmakers has been particularly stark. The iShares software ETF is down 12.8% year to date. By contrast, the Philadelphia Semiconductor Index has surged 55% over the same period, reflecting how capital flows tied to AI development have favored semiconductor stocks.
Investors appear to be weighing whether the recent software rebound reflects a durable re-rating or a short-lived bounce after a steep drawdown. Market participants will be watching for evidence that demand for legacy and enterprise software remains resilient in the face of mounting AI competition.
Whether the current move represents a sustained shift in sentiment or merely a temporary relief rally remains uncertain, and market participants will look for additional signals of software demand holding up against the AI competitive threat.
What to watch next
- Further price action in major software names and the iShares software ETF for confirmation of a trend reversal.
- Any indications from corporate demand trends that could clarify how AI is affecting traditional software business models.
- Performance comparisons with semiconductor stocks, which have captured significant AI-related investment flows.