Global Tech Leaders Dismiss "Software Death" Narrative Amid Market Turbulence

In the wake of a historic market correction that saw approximately $1 trillion wiped from the value of major U.S. software giants, the prevailing narrative of a "software Armageddon" has been firmly rejected by industry leaders gathered at Web Summit Qatar. Despite the recent sell-off affecting titans like Microsoft and Salesforce, founders of leading AI unicorns and prominent venture capitalists argue that the software-as-a-service (SaaS) model is not facing extinction but rather a pivotal evolution.

Speaking from Doha, executives from companies such as Glean and Miro presented a unified front, suggesting that the integration of artificial intelligence will fortify, not replace, existing software ecosystems. While acknowledging that current valuations are stretched and likely due for a correction, these leaders emphasized that the fundamental utility of software platforms remains intact, provided they adapt to the AI-driven paradigm shift.

The Integration Imperative: Evolution Over Obsolescence

The core of the "software is dead" argument rests on the assumption that autonomous AI agents will render traditional user interfaces and SaaS applications obsolete. However, Arvind Jain, founder of the $7 billion enterprise AI unicorn Glean, dismantled this fear during his sessions at the summit. Jain posits that AI is a technology layer that must be embedded within existing frameworks rather than a destructive force that obliterates them.

"I think AI is a really powerful technology that people have to embed," Jain stated, reinforcing the view that the delivery of digital products and services will continue to rely on robust software infrastructure. According to Jain, the future lies in deep integration where AI enhances the utility of SaaS platforms, making them more efficient and intuitive. The "adapt or die" mantra is relevant, but the emphasis is heavily on adaptation. The consensus among the summit's elite is that software companies failing to incorporate generative AI capabilities may struggle, but the medium of software itself remains the primary vehicle for delivering business value.

Valuation Reality Check: A Two-Year Normalization Horizon

While bullish on the technology's long-term prospects, the leaders at Web Summit Qatar did not shy away from addressing the elephant in the room: inflated valuations. The recent market turbulence serves as a stark reminder of the disconnect between current stock prices and underlying financial fundamentals.

Andrey Khusid, founder of the visual collaboration platform Miro—a "decacorn" valued at roughly $17 billion—offered a candid assessment of the investment landscape. Khusid described current AI valuations as "crazy," predicting a necessary correction period. "Valuations will normalize in the next two years," Khusid estimated, suggesting that the market is currently in a price discovery phase similar to the dot-com era.

Larry Li, founder of Amino Capital and a member of the Forbes Midas List, echoed these sentiments. He believes the deflation of the "AI bubble," particularly among large-cap companies, is inevitable. "It's just a matter of time," Li noted, characterizing the current cycle as one that requires patience. However, unlike the crash of 2000, investors generally agree that the current boom is more "responsible," as many AI-centric companies are generating substantial revenue and possess tangible business models, distinguishing them from the speculative ventures of the past.

The Strategic Retreat from Public Markets

A significant topic of discussion in Doha was the noticeable hesitation among AI giants to enter the public markets via IPOs. Despite the influx of capital and high public interest, companies like OpenAI and Anthropic, alongside established players like Miro and Glean, are opting to remain private for longer durations.

The reasoning is multifaceted. For founders like Khusid, staying private allows for operational efficiency without the quarter-by-quarter scrutiny of public shareholders. "Public markets demand predictability," Jain added, contrasting this requirement with the reality of the AI sector, where "the market is actually changing so fast." This volatility makes the rigid reporting structures of public listings unattractive for companies still navigating rapid technological shifts.

Furthermore, the private market continues to offer abundant capital. With over $340 billion invested in global startups in 2025—65% of which went to AI companies—founders have little incentive to brave the turbulent public waters when private funding remains readily available.

Investment Disparities: The "AI Benchmark" Problem

The summit also highlighted a growing divide in the startup ecosystem: the funding gap between AI and non-AI ventures. Juan Pablo Ortega, founder of Yuno and the Latin American unicorn Rappi, voiced concerns regarding the unrealistic benchmarks now applied to the broader tech sector.

Ortega noted that non-AI startups are increasingly compared to AI outliers that demonstrate explosive growth rates. "You're getting compared with AI companies that are growing 1,000% year over year and are doing things that are not possible for the rest of us," he explained. This disparity is creating a challenging environment for traditional software startups, which must now compete for capital against the exponential promises of generative AI, regardless of their own solid fundamentals.

Global Dynamics: Innovation vs. Scale

Beyond the financial metrics, the summit served as a forum for discussing the geopolitical dimensions of the AI race, particularly between the United States and China. The consensus among investors like Larry Li is that while the U.S. maintains a clear lead in pure innovation and model development, China possesses distinct advantages in scaling.

China's dominance in supply chain logistics, production capacity, and its sheer volume of engineering talent positions it to capitalize on the application layer of AI rapidly. When questioned on the ultimate "winner" of this technological arms race, the majority of founders and investors adopted a non-zero-sum perspective. They anticipate a bifurcated market where closed models (like those from U.S. labs) and open models (including contributions from Chinese researchers) coexist, driving global advancement through competition and distinct regional specializations.

Key Perspectives from Web Summit Qatar

To summarize the diverse viewpoints presented at the summit, the following table outlines the key figures, their affiliations, and their primary stances regarding the future of the industry.

Table: Industry Leaders on the Future of AI and Software

Conclusion: A Rational Optimism

The overarching sentiment at Web Summit Qatar was one of rational optimism. The "doom and gloom" headlines regarding a software market crash are viewed by insiders as a necessary recalibration rather than a systemic collapse. While the $1 trillion sell-off signals that the market is adjusting its expectations, the leaders at the forefront of the AI revolution remain convinced of the software industry's resilience. By integrating AI, correcting valuations, and leveraging private capital to innovate without short-term pressure, the software sector is poised not for "Armageddon," but for a renaissance defined by smarter, more adaptive technologies.