Expert warns AI agents threaten Salesforce, ServiceNow seat models
Parnassus Investments CIO Todd Ahlsten warns that AI agents pose structural risks to the seat-based licensing models of Salesforce and ServiceNow. Bain & Company data indicates 65% of SaaS vendors are shifting to hybrid pricing. Both companies are adapting, with Salesforce's top AI users increasing spend by 1.5x and ServiceNow deriving half of net new revenue from non-seat models.

*this image is generated using AI for illustrative purposes only.
Parnassus Investments Chief Investment Officer Todd Ahlsten warned that the seat-based licensing model, a core revenue driver for enterprise software giants Salesforce (NYSE: CRM) and ServiceNow (NYSE: NOW), faces structural pressure from the rise of AI agents. The concern stems from the potential for companies to increase output without adding employees, thereby reducing the need for additional software licenses.
Ahlsten stated on Bloomberg Tech that the long-term bankability of the seat license model is challenging as AI tools from Anthropic, OpenAI, and Google’s Gemini allow firms to do more work with fewer human users. "The seat license model is just going to be under a lot of pressure," he said. "We wish them well. They're good companies. I just think the long-term bankability of that is going to be challenging."
Shift in Pricing Dynamics
Traditionally, software revenue grew in tandem with corporate hiring. AI disrupts this link by enabling productivity gains without corresponding headcount expansion. Consulting firm Bain & Company analyzed more than 30 SaaS vendors introducing generative AI and found that about 65% had adopted hybrid pricing. This approach layers AI usage or feature-based charges on top of traditional seat pricing, signaling a move away from pure headcount dependency.
| Metric | Detail |
|---|---|
| SaaS vendors analyzed | More than 30 |
| Adopted hybrid pricing | About 65% |
Company Adaptations
Both Salesforce and ServiceNow are adjusting their revenue models to account for this shift. They are adding usage-based AI pricing to capture value from digital workers even if human seat growth stalls.
Salesforce CEO Marc Benioff noted that the company maintained its engineering workforce at about 15,000 for roughly two years while AI helped engineers achieve more output. This internal efficiency mirrors the external risk Ahlsten highlighted: if customers grow without hiring, they may require fewer new seats.
However, Salesforce reported on its May earnings call that its Sales and Service products still saw year-over-year seat growth. Additionally, the company noted that its 10 customers making the heaviest use of its AI agents increased their total Salesforce spending by 1.5 times over the previous year.
ServiceNow CEO Bill McDermott told the Wall Street Journal that roughly half of net new business revenue now comes from non-seat-based models. This diversification suggests the company is already mitigating reliance on traditional licensing.
What the Numbers Show
The data reveals a divergence between traditional growth drivers and emerging revenue streams. While Salesforce reports continued seat growth, its highest-value AI adopters are increasing spend by 1.5 times, suggesting that usage-based models may yield higher revenue per unit of engagement than seat licenses alone. Meanwhile, ServiceNow’s disclosure that 50% of net new revenue is non-seat-based indicates a more advanced transition away from headcount-dependent metrics compared to peers still reporting pure seat growth.
How might the transition to hybrid pricing models impact the revenue predictability and valuation multiples of enterprise software stocks like CRM and NOW?
What specific metrics should investors monitor to determine if AI-driven usage-based revenue is successfully offsetting potential declines in seat license growth?
Could the rise of AI agents accelerate consolidation in the SaaS market as smaller vendors struggle to adapt their pricing structures compared to giants like Salesforce?

































