The long-feared collapse of traditional software budgets - dubbed the "SaaSpocalypse" - has failed to materialize. Instead, corporate America is doubling down on artificial intelligence, with a new survey revealing that enterprise AI spending is accelerating faster than anticipated in the second half of 2026.
According to a recent survey of over 100 chief information officers (CIOs) conducted by RBC Capital Markets, AI adoption is rapidly transitioning from experimental pilots to full-scale production. More than half of the respondents confirmed their AI tools are already in production, while another 35% expect to reach that milestone within six months.
Rishi Jaluria, a tech analyst at RBC, noted that the firm came away "encouraged by broad-based enterprise spending momentum" as companies move beyond the testing phase. Crucially, the vast majority of respondents expect to spend more on software overall, and not a single respondent expects to spend less.
OpenAI Laps the Competition
The survey results highlight a stark reality for the competitive landscape: OpenAI is not just leading the enterprise market; it is completely lapping the field. Fifty-seven percent of respondents stated that ChatGPT is their most-used AI model-based service.
In contrast, Anthropic's Claude captured only 12% of the enterprise user base. OpenAI also comfortably leads on perceived quality, with 44% of CIOs naming it the highest-performing model provider, compared to just 24% for Anthropic.
Sustained, large-scale business adoption is widely considered a prerequisite for successful initial public offerings (IPOs) by both OpenAI and Anthropic, making these enterprise market share numbers critical for their future valuations.
Token Budgets and the Software Stack
For months, investors have worried that ballooning token bills would become the biggest bottleneck for AI adoption. The RBC survey found the exact opposite to be true. Nearly 9 in 10 respondents said their token budgets are manageable, even though almost half have already exceeded their original spending plans.
A striking 100% of respondents are actively allocating budget to AI and large language model (LLM) projects. Of those, 91% are creating entirely new AI budgets rather than simply reshuffling existing software spending.
Meanwhile, hybrid pricing models that combine traditional seat licenses with usage-based pricing have quickly become the preferred purchasing method for enterprises. This represents a remarkably fast shift for a corporate market that typically adopts new technology at a glacial speed.
The Enterprise Moat and IPO Realities
The fact that 91% of companies are creating new budgets rather than cannibalizing existing software spend is a massive signal for the tech sector. It indicates that enterprise AI is being viewed as a core infrastructure upgrade, much like the transition to cloud computing, rather than just another software feature.
However, Anthropic's struggle to capture enterprise market share - sitting at just 12% - suggests that OpenAI's early mover advantage has solidified into a formidable enterprise moat. If Anthropic wants a successful IPO, it needs to aggressively pivot its enterprise sales strategy.
The rapid adoption of hybrid pricing models means clients are getting locked into specific ecosystems faster than anticipated. If Anthropic does not accelerate its enterprise outreach, the cost and friction for companies to switch away from OpenAI will soon become too high to overcome.
