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Thoma Bravo Says AI Panic Over SaaS Has Been Misread

The private equity firm Thoma Bravo is pushing back against earlier fears that artificial intelligence would disrupt and potentially weaken the software-as-a-service industry, a narrative that briefly shook markets earlier this year.

At the time, concerns about a so-called “SaaSpocalypse” emerged after breakthroughs in advanced AI agents raised speculation that traditional SaaS platforms could be replaced by autonomous AI systems capable of performing enterprise tasks without conventional software layers.

However, Orlando Bravo, founder and managing partner of Thoma Bravo, says those fears have now been decisively overstated.

Speaking at the SuperReturn International conference in Berlin, he described the “SaaSpocalypse” narrative as effectively over, arguing that AI is not replacing software companies but instead accelerating their evolution.

AI Becomes a Structural Growth Engine for Software Firms

Rather than eroding software business models, Bravo argues that artificial intelligence is becoming a major structural growth driver for the industry.

He described AI as an “enormous tailwind” that is enabling software companies to move beyond traditional workflows and into more advanced automation systems that integrate decision-making capabilities directly into enterprise operations.

According to Bravo, software companies are increasingly evolving into platforms that combine traditional SaaS functionality with AI-driven “agentic” systems, where software can execute tasks, analyze data, and automate complex business processes with minimal human intervention.

This shift is expected to significantly expand the value proposition of enterprise software over the next several years.

Portfolio Companies See Rapid AI-Driven Revenue Expansion

Thoma Bravo, which manages close to $200 billion in assets, has a large portfolio of software and technology-enabled services companies generating approximately $35 billion in combined annual revenue.

Bravo stated that roughly 50 percent of new revenue across these companies is now being driven by AI-related products and agentic automation tools.

He described this as evidence that AI adoption is not only widespread but also increasingly central to new revenue creation within enterprise software businesses.

Rather than replacing existing software stacks, AI tools are being embedded into them, effectively enhancing functionality and expanding pricing power in certain segments.

From SaaS to “Agentic Software” Platforms

One of the key themes highlighted by Bravo is the emergence of what he describes as “agentic solutions.”

These systems go beyond traditional SaaS platforms by incorporating AI agents capable of performing tasks autonomously, such as customer service operations, financial analysis, cybersecurity monitoring, and workflow automation.

In this model, software is no longer just a tool for users to operate, but a system that actively performs work on behalf of businesses.

Bravo expects this convergence between software and AI to define the next phase of enterprise technology development, with hybrid platforms becoming the dominant architecture over time.

Market Fears of SaaS Disruption Begin to Fade

Earlier this year, software markets experienced volatility following rapid advancements in AI agent technology, particularly after new AI tools demonstrated the ability to perform complex multi-step workflows.

That period led to concerns that traditional SaaS companies could lose relevance if AI systems began replacing application-based software entirely.

However, software equities have since rebounded strongly.

The iShares Expanded Tech Software Sector ETF recorded a 21 percent rally in May, marking its strongest monthly performance in more than two decades, while also posting solid gains over the following three-month period.

This recovery reflects a reassessment by investors who are increasingly viewing AI as a complement rather than a replacement for enterprise software.

Industry Enters a Phase of Structural Adjustment

Despite the renewed optimism, Bravo emphasized that the industry is still in a transitional phase.

He described the current environment as one of “discovery,” where companies, investors, and enterprise clients are still working through key questions related to AI integration.

These include concerns over governance frameworks, cybersecurity risks, data integrity, and the long-term return on investment from AI-powered tools.

As AI systems become more deeply embedded in enterprise infrastructure, companies are being forced to rethink how software is deployed, secured, and monetized.

Cybersecurity and Governance Remain Key Concerns

While AI adoption is accelerating, it is also introducing new layers of complexity.

Enterprise customers are increasingly focused on ensuring that AI systems operate within secure and auditable frameworks, particularly in industries such as finance, healthcare, and critical infrastructure.

Bravo acknowledged that these concerns are shaping adoption patterns, as organizations seek to balance automation benefits with operational risk management.

Cybersecurity, in particular, is emerging as a major constraint and opportunity for software companies, as AI systems require significantly more robust protection against data breaches and adversarial manipulation.

AI Reshapes Competitive Landscape for Software Industry

The integration of AI is also reshaping competitive dynamics within the software sector.

Companies that successfully incorporate AI-driven capabilities into their platforms are increasingly able to command higher valuations and stronger customer retention.

At the same time, legacy software providers that fail to adapt risk losing relevance as enterprise buyers shift toward more intelligent, automated solutions.

Private equity firms such as Thoma Bravo are closely watching this transition, as it directly impacts portfolio company performance and long-term exit strategies.

Semiconductors and Infrastructure Also Benefit From AI Expansion

Beyond software, Bravo noted that related sectors such as semiconductors continue to offer attractive investment opportunities as AI infrastructure expands.

The rapid scaling of AI workloads is driving demand for high-performance chips, cloud infrastructure, and data center capacity, creating a broader ecosystem of growth beyond pure software applications.

This interconnected expansion is reinforcing the idea that AI is not a single-sector disruption but a multi-layered industrial transformation spanning hardware, software, and services.

Long-Term Outlook: Software Becomes More Autonomous and Integrated

Looking ahead, Thoma Bravo expects enterprise software to become increasingly autonomous, with AI systems embedded across core business functions.

Rather than replacing SaaS platforms, AI is expected to enhance them, creating more intelligent systems capable of executing workflows, optimizing operations, and reducing manual intervention.

In this evolving structure, software companies are positioned to move higher up the value chain, capturing additional revenue from automation, analytics, and decision intelligence layers.

For Thoma Bravo, the conclusion is clear: far from signaling the end of SaaS, artificial intelligence is accelerating its transformation into a more advanced and profitable industry phase.

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