The Existential AI Threat To Software Companies: What Is The Future Of Software
- Feb 16
- 3 min read
When I first read the article on Yahoo Finance about a top tech fund manager saying that most traditional software companies may not survive the rise of artificial intelligence, I felt a knot in my chest. It wasn’t just the cold financial language it used. It was the sense that something fundamental is shifting in the world of work and technology, in ways that make us both excited and deeply unsettled.
The fund manager behind this warning runs a massive $12 billion global tech fund that has beaten 99 % of its peers over the past year, and his blunt message is that application software, the tools we use every day for writing documents, managing payrolls, tracking customers, and countless other tasks, is facing an existential threat from AI. He told Bloomberg that the kind of AI tools we are developing today are already powerful enough to replicate and modify much of the work that traditional software does. Because of this, he has sold nearly all his holdings in classic software names, betting instead on semiconductors and other infrastructure companies that support the AI revolution.
Reading this made me feel a mix of awe and anxiety. On the one hand, who doesn’t get a little thrill at the idea of AI that can do incredible things? But on the other hand, the thought that entire business models that have shaped the entire tech industry over decades could be rendered obsolete in a few short years is jarring. It feels almost like watching winter approach while still wearing shorts.
This fear isn’t just theoretical. Markets are already reacting to the idea that AI could make traditional software licensing and subscription models irrelevant. Investors aren’t just skittish about a single company’s future. They are questioning the very foundations of how many software companies make money. That to me is a visceral reminder that technological progress doesn’t happen in a vacuum. It touches people’s jobs, their investments, and their sense of economic security.
But what does this mean for society? If tools powered by AI can write code, manage workflows, or automate decision-making at scale, then the skills we teach, the jobs people train for, and even the way businesses are structured will change. In the best case, AI could make many tasks easier, freeing people to focus on creative and strategic work. In a darker scenario, entire segments of the workforce that are built around repetitive or rules-based tasks could be left behind. And because traditional software companies have been major employers and economic drivers, a wave of failures in that sector could ripple through local communities and global markets.
And yet, this is not an argument for doom. It is an invitation to adapt. Traditional software firms are not powerless against this change. Many are already trying to reinvent themselves by embracing AI rather than resisting it. Some companies are building AI-powered features directly into their products so that they augment human work rather than try to preserve old usage patterns. Others are significantly shifting their pricing models, moving from seat-based licensing to consumption-based models that charge for outcomes rather than access. Analysts have pointed out that these shifts could help traditional firms stay relevant, and there are even signs that the market is pushing back against overly pessimistic narratives about software’s demise.
Ultimately, it comes down to flexibility and willingness to change. If software firms can pivot to become AI-driven companies themselves rather than resisting the tide, they may not only survive but thrive. They will need to invest heavily in research and development, rethink how they deliver value to customers, and build products that integrate AI in ways that increase productivity without eliminating the human element entirely. It will be uncomfortable, and for some companies it may be too late. But disruption has always been a part of the tech landscape; this time the force is AI.
Walker Percy once wrote that technology in itself is neither good nor bad; the value lies in how humans choose to use it. As we grapple with the economic implications of AI, that thought feels more relevant than ever. We stand at a crossroads where fear and opportunity intersect, and the choices we make now will shape our work, our industries, and perhaps our collective future.
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