Anthropic CEO predicts the arrival of AGI: The shocking theory that AGI will be realized by 2026 and its potential impact on the industry

MysteryBoxOpener · 2026-01-30T14:10:43+00:00

Dario Amodei from Anthropic predicts that human-level AGI may emerge within a few years, particularly between 2026 and 2027, highlighting the automation of software engineering tasks as crucial for its development. This could significantly impact white-collar jobs, with potential job losses in knowledge-intensive roles. The need for proactive government regulation to manage risks associated with AGI advancement is emphasized, calling for collaboration among politics, industry, and academia.

MysteryBoxOpener

2026-01-30 14:10:43

Abstract generation in progress

Dario Amodei, CEO of Anthropic, points out that human-level artificial general intelligence (AGI) could emerge within a few years. Particularly, forecasts based on the 2026 to 2027 timeframe have attracted widespread attention in the AI industry. According to NS3.AI reports, the key to this AGI arrival is believed to be the AI’s ability to automate software engineering tasks.

Software Automation Technologies Accelerating AGI Realization

A major factor driving the realization of AGI is the rapid advancement of AI’s code generation and automation capabilities. Demis Hassabis, CEO of DeepMind, also supports this view, emphasizing that automation in the software domain will be a critical milestone in achieving AGI. As automation of engineering tasks progresses, AI is expected to gradually expand its coverage of human intellectual work.

Dramatic Economic Impact on White-Collar Jobs

The arrival of AGI is warned to cause significant economic ripple effects across industries. Both Amodei and Hassabis point out that within the next 5 years, up to half of entry-level professional roles could be lost, with particular concern about severe impacts on white-collar occupations. Knowledge-intensive professions such as lawyers, consultants, and analysts are expected to face the greatest transformation pressures.

Adapting to the AGI Era: Establishing Regulatory Frameworks by Governments

To address this rapid AI evolution, there is a strong call for governments to develop clear governance frameworks. Amodei and Hassabis warn that regulatory authorities should proactively respond to the development of AGI technology to properly manage associated risks. Establishing regulatory systems before the realization of AGI, rather than merely reacting afterward, is seen as key to minimizing social and economic disruptions.

Amid the rapid evolution of AI technology, responding to AGI has emerged as a challenge that politics, industry, and academia must tackle together. Managing economic impacts while strategically leveraging the opportunities brought by AGI is also an urgent task.

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