Artificial intelligence is shaking global markets. In recent weeks, software stocks plunged as investors worried that AI could upend traditional business models. Monday.com lost 30% of its value in a single session, SAP shed €22 billion at its low point, and industry giants like Salesforce and Workday are under pressure. Analysts warn of the “death of software due to AI.” https://www.bloomberg.com/news/articles/2025-08-13/oracle-layoffs-hit-cloud-unit-oci
But at Querlo, we believe this is not the death of software, it’s the end of dependence. Enterprises no longer have to rely on rigid, one-size-fits-all platforms. Instead, they can harness enterprise-owned AI to build solutions that are faster, smarter, and more cost-effective, without sacrificing control over their data and intellectual property.
Why Traditional Software Is at Risk
The fear driving markets is clear: AI enables companies to build applications at lightning speed and lower cost. As OpenAI’s Sam Altman put it, we are entering a “fast fashion era” of software.
For enterprises, this means traditional SaaS subscriptions may no longer deliver lasting value. Querlo solves this problem by providing:
- Digital Twins that allow leaders and organizations to maintain a dynamic, interactive presence.
- Private Language Models that keep sensitive data secure while powering AI-driven engagement.
- Custom conversational ecosystems that cut costs, drive sales, and scale globally.
Instead of watching value erode, enterprises can build defensible AI assets that create a competitive advantage.
The Data Problem: Why AI Projects Fail
A second shockwave is hitting the boardroom: fragmented enterprise data. According to McKinsey, 72% of large companies cite poor data management as the top obstacle to scaling AI.
When data is siloed, inconsistent, and low quality, AI projects stall. They remain expensive “science projects” that never move beyond pilot stage, often sparking customer frustration.
Querlo addresses this with intelligent knowledge bases that transform messy data into context-rich, governed, real-time infrastructure. This allows enterprises to:
- Create a single source of truth for decision-making.
- Power reliable AI copilots in fraud detection, compliance, and customer service.
- Build trust in AI outputs through transparency and governance.
The result: AI that delivers measurable business outcomes, not boardroom headaches.
AI in Action: Lessons From Other Industries
The shift is already visible across industries:
- Delta Airlines is using AI to speed up airfare adjustments, proving how automation reshapes even the most established markets.
- Bowling Green, Kentucky ran America’s largest-ever digital town hall using AI, with 8,000 residents participating and over 2,300 consensus-driven policy ideas surfaced.
- Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) launched its first undergraduate AI program, admitting just 5% of applicants—showing how quickly AI talent is scaling worldwide.
These examples highlight a reality: AI is not a passing trend, it is the infrastructure of the future. Querlo ensures enterprises build this infrastructure strategically and sustainably.
Querlo’s Strategic Edge
For nearly a decade, Querlo has been at the forefront of conversational AI and enterprise knowledge management. Unlike generic AI platforms, we empower organizations to:
- Own their AI instead of renting it.
- Protect intellectual property while building scalable digital ecosystems.
- Monetize knowledge by transforming information into intelligent, revenue-generating assets.
In an era of market volatility, Querlo delivers resilience, trust, and long-term value.
Final Word: AI Is Not a Threat……If You Control It
AI disruption is real. It is rattling investors, worrying executives, and forcing industries to rethink strategy. But disruption does not have to mean destruction.
The future belongs to enterprises that stop fearing AI and start building with it.
Querlo is here to help you transform AI from a threat into your most valuable strategic asset.
