‘If your job happens on a screen, AI is coming,’ warns OthersideAI CEO Matt Shumer

Artificial intelligence (AI) has rapidly transitioned from a theoretical concept to a transformative force in the job market, according to Matt Shumer, co-founder and CEO of OthersideAI, the innovative firm behind the AI autocomplete tool HyperWrite. In a compelling post, Shumer draws parallels between the current AI surge and the early warnings about the COVID-19 pandemic that many dismissed in early 2020. He suggests we are currently in a phase of underestimating the impact of AI, which he believes is much larger than the previous pandemic. Shumer notes that while AI has improved steadily over the years, a significant breakthrough occurred in 2025 with new methodologies that accelerated progress dramatically. He highlights a pivotal moment on February 5, 2026, when advanced models like GPT-5.3 Codex from OpenAI and Opus 4.6 from Anthropic were released. Shumer explains how his role has shifted; he now simply communicates his needs in plain language, and the AI delivers fully formed outputs, requiring no revisions. This efficiency allows him to delegate intricate tasks to AI systems, which can autonomously execute, test, and refine their work. One of the most intriguing aspects of Shumer's discussion is the notion of AI systems enhancing their own capabilities. He points out that GPT-5.3 Codex was instrumental in its own development, managing aspects like debugging and testing. This self-improvement loop could lead to rapid advancements in AI capabilities, as the technology becomes increasingly adept at enhancing itself. Shumer also addresses the looming threat to entry-level jobs, citing concerns from AI leaders who predict that AI could displace up to 50% of white-collar roles in the next few years. This wave of automation is different from previous technological disruptions because it targets a broad range of cognitive tasks rather than specific skills. He emphasizes that any job performed on a screen—whether it involves reading, writing, analyzing, or coding—is at risk of significant transformation. Beyond the workforce, Shumer warns that the implications of AI extend into areas such as geopolitics and national security. He envisions a future where AI could dramatically accelerate medical research, condensing decades of work into mere years. However, he is also cautious about the unpredictable nature of AI systems and the potential for misuse, acknowledging the mixed feelings among those developing this technology. In conclusion, Shumer's message is clear: we are no longer merely discussing the future of work; that future is unfolding right now, and it is approaching rapidly. The implications of AI are profound, and society must prepare for the changes ahead.