In his article, Philipp D. Dubach evaluates the current state of artificial intelligence and its potential impact on various industries. He references Marc Andreessen's 2011 assertion that "software is eating the world," situating generative AI as the next significant technological shift. Dubach emphasizes that while generative AI shows promise, its true economic impact remains uncertain. He questions whether large language models (LLMs) will follow the historical pattern of automation, which often leads to commoditization—where once-cutting-edge technologies become standard tools. Investment in AI is notable, with firms like Accenture anticipating $3 billion in generative AI bookings for 2025. However, much of this revenue is tied to integration and process redesign rather than from the AI models themselves. Current adoption is uneven; while 92% of developers use AI coding tools and marketing has embraced AI for ad generation, many enterprises are still in pilot phases. Only a quarter of CIOs have implemented AI solutions, with significant portions not expecting full deployment until 2026. Dubach outlines a typical technology deployment pattern: first, companies absorb the technology; then, they innovate; finally, they disrupt existing markets. Right now, most organizations are still in the absorption stage. There’s a growing focus on startups addressing specific enterprise issues, indicating movement toward innovation. The economic implications are significant, particularly for companies reliant on large workforces for competitive advantage. Those with unique data or customer relationships may strengthen their positions as AI continues to evolve.