AI Revolution May Force Software Firms to Rethink Survival Strategy

The rapid rise of artificial intelligence is no longer just a concern for jobs. Industry voices are now warning that entire software companies could struggle to survive if they fail to adapt. A bold claim from Tatyana Mamut, co founder and CEO of Wayfound.ai, suggests that the traditional software as a service model may face serious disruption within the next five years.

According to Mamut, the shift is already underway inside her own company. Instead of relying heavily on large engineering teams, Wayfound has moved toward using AI driven systems such as Claude AI to handle core development tasks. Engineers, she explains, are no longer writing every line of code. Their role has evolved into supervising AI systems, guiding outputs, and making higher level product decisions.

This transformation has significantly changed productivity levels. Mamut pointed out that a much smaller team today can deliver more features than larger teams did just a few years ago. Tasks that once took weeks can now be completed far more quickly with the help of AI agents, allowing companies to move faster and operate more efficiently.

The transition at Wayfound began in 2024 when teams started experimenting with tools like ChatGPT. Over time, platforms such as Cursor and Vercel were integrated into daily workflows. These systems gradually took over coding, testing, and even suggesting improvements, reshaping how products are built.

Inside the company, this shift has also simplified operations. Instead of long planning cycles and multiple management layers, teams now work with shorter, focused meetings. Engineers collaborate closely with AI tools by feeding them requirements, while the systems generate solutions. This approach has reduced delays, minimized internal friction, and allowed employees to spend more time understanding customer needs rather than being tied to screens all day.

Mamut believes this evolution is redefining the role of engineers. Rather than being limited to coding, professionals are becoming builders who handle design decisions, product thinking, and customer interaction. However, she also cautions that relying entirely on AI without proper oversight can lead to errors, a risk she refers to as poorly managed AI outputs. Continuous monitoring and refinement, she says, are essential to make these systems effective.

Her concerns extend beyond her own company. Mamut argues that traditional SaaS giants such as Salesforce, Atlassian, and Workday could face mounting pressure if they do not evolve into AI driven platforms. Companies are already cutting hiring costs and rethinking long term software investments as they prepare for an AI first future.

Despite her strong stance on automation, Mamut does not believe humans will become irrelevant. She emphasizes that people will remain critical in managing AI systems, building trust with customers, and making strategic decisions. In her view, while AI will take over repetitive and technical tasks, human judgment and relationships will continue to play a central role in business success.