Salesforce Plunges to Three-Year Low as AI Anxiety Grips Software Sector

Salesforce stock plunges as AI's 'seat compression' threat rattles the SaaS sector. Strong Q4 results and buybacks clash with fears over the future of per-user software licensing.

The relentless advance of artificial intelligence is triggering a brutal reassessment of legacy software giants. Salesforce shares have cratered to their lowest level since March 2023, shedding roughly nine percent in just four days. This sell-off, which pushed the stock to $170.85, starkly contrasts with a broader market recovery following geopolitical de-escalation, highlighting a sector-specific crisis of confidence.

The immediate catalyst was Anthropic's Tuesday unveiling of its "Claude Mythos" model, a demonstration of AI's superior efficiency in identifying software vulnerabilities. This event was perceived as a direct challenge to traditional enterprise software models, sparking a wave of selling that saw Salesforce lose nearly 3% on Wednesday and another 2.5% on Thursday. The pressure is industry-wide; the iShares Expanded Tech-Software Sector ETF is down approximately 28% year-to-date, while the S&P 500 Software Index now trades at just 21 times expected earnings, far below its five-year average of 29.

At the heart of investor fear is a concept known as "seat compression." The concern is that autonomous AI agents could eventually perform the work of multiple human employees, drastically reducing the need for the per-user licenses that have underpinned the Software-as-a-Service (SaaS) business model for two decades. This threat to recurring revenue streams is prompting institutional investors to systematically reduce risk across the sector, impacting peers like Snowflake and Workday.

This pervasive pessimism creates a stark paradox for Salesforce, given its recent operational performance. The company's fourth-quarter results showed revenue growth of 12.1% to $11.2 billion, with earnings per share of $3.81 soundly beating the $3.05 consensus estimate. Its flagship AI product, Agentforce, achieved an annualized contract value of $800 million, representing explosive growth of 169% year-over-year. The number of Agentforce deals closed also surged by 50% sequentially.

Management is responding with aggressive capital returns. In February 2026, the board authorized a $50 billion share repurchase program. A $25 billion accelerated buyback—the largest in company history—is already underway. Additionally, board members made individual stock purchases worth $500,000 last month. The company also secured a framework agreement with the U.S. Army worth up to $5.6 billion.

Analysts are deeply divided on the path forward. Wedbush's Dan Ives has reiterated Salesforce as a top AI idea, calling the sector-wide sell-off a historic buying opportunity. He argues that corporate AI projects are shifting from experimentation to implementation, which should drive higher software budgets in 2026. High switching costs and deep system integrations, he contends, secure structural advantages for platforms like Salesforce.

Other voices are more cautious. Northland analyst Nehal Chokshi downgraded his price target from $267 to $229, maintaining a "Market Perform" rating. He points to concerns that organic revenue growth in constant currency—adjusted for the contribution from the Informatica acquisition—remains below a critical threshold. The average analyst price target sits at $273, revealing a massive valuation gap versus the current share price.

For shareholders who captured the ex-dividend date this past Wednesday, a small concrete return arrives on April 23rd in the form of a $0.44 per share quarterly payment. Yet, this dividend provides little solace against the backdrop of a seismic shift. Salesforce now faces the urgent task of scaling its explosive Agentforce growth rapidly enough to offset any potential erosion in its core license business, a challenge that has spooked the market and rewritten the sector's investment narrative overnight.