In a blog entry from February 2025, Sam Altman, the CEO of OpenAI, emphasized the significance of recognizing the current moment as advancements toward Artificial General Intelligence (AGI) become more apparent. He explained that AGI represents a system capable of addressing increasingly complex challenges at a human level across various domains.
During a recent conversation with business podcaster David Senra, Altman did not appear to dispute his previous predictions regarding the progress of AI capabilities or timelines. He recalled how, when OpenAI was founded, the prevailing belief was that achieving something akin to AGI was not feasible within a decade. He remarked, “We have built something that most people would have deemed very AGI-like at that time,” showcasing his continued optimism regarding technological advancements.
However, Altman also acknowledged a different timeline concerning the broader socioeconomic implications of generative AI, particularly in the business landscape. He admitted to having initially overestimated the speed at which GPT-4, released in 2023, would disrupt the software industry. He observed that the economy exhibits significant inertia, with individuals and businesses reluctant to change their established habits, leading to slower-than-expected integration of AI tools. While he views this inertia positively, suggesting it may facilitate a smoother transition, it indicates a tendency for timelines to be overly ambitious. Even with groundbreaking technology, Altman noted that societal adaptation tends to be gradual.
The discussion about the software sector is particularly relevant since this field is expected to experience substantial AI-driven changes. Despite being a knowledge-intensive industry with a high degree of digital interaction, Altman recognized that inertia hampers progress, revealing that he himself often resorts to pre-ChatGPT workflows.
This perspective aligns with the viewpoints of economists and think tanks—collectively termed the Acela Corridor Consensus—who tend to adopt a more cautious stance regarding the potential impact of generative AI. Although generative AI is undoubtedly poised to play a pivotal role as a general-purpose technology in the ongoing Information and Communication Technology Revolution, many experts argue that any transformative effects on society are not imminent.
A July analysis titled “The AI Buildout and the Economy: Publicly Available Data to Assess AI’s Impact,” produced by Federal Reserve economists, supports this viewpoint. It synthesized various data sources and found that as of 2026, the economy appears to be reorganizing around AI technology, with significant effects manifesting in specific sectors rather than widespread displacement. The analysis noted that while investment in AI is surging and capabilities are advancing rapidly, the overall labor market effects remain limited and concentrated, suggesting that we are still in a buildout phase.
The Acela Corridor thinkers remain optimistic about AI advancements while being mindful of real-world obstacles. They recognize that not all work occurs in digital environments, that AI depends on physical resources like semiconductors and energy, and that businesses must adapt their operations to harness AI effectively. Furthermore, any noticeable disruption might provoke political resistance, paralleling current debates surrounding data centers. Coupled with human inertia and resistance to change, these factors contribute to a comprehensive understanding of the pace and impact of AI integration in society.
For those concerned about the potential rapid acceleration of AI and its societal ramifications, Altman’s balanced insights, which resonate with the Acela Corridor Consensus, are worthy of consideration.
