Unlike past technological shifts, leading AI labs are focused on automating their own research first to accelerate progress. This means mass job displacement in the broader economy will happen suddenly in a wave, not gradually, after this internal goal is achieved.

The vague concept of AGI is being replaced by Recursive Self-Improvement (RSI)—AI models creating their own successors. This is seen as a more specific and potentially nearer-term threshold that could trigger an uncontrolled explosion in AI progress, moving humans "out of the loop entirely."

Top researcher Andre Karpathy joined Anthropic not just as a star hire, but to lead a team using AI to accelerate AI research. This focus on "Recursive Self-Improvement" (RSI) suggests frontier labs believe they are close to a compounding loop where AIs design their successors, triggering an exponential acceleration in capability.

The most transformative aspect of AI may be its ability to automate its own research and development. This creates a recursive improvement cycle—an "intelligence explosion"—where progress accelerates exponentially, compressing decades of innovation into a much shorter period.

The concept that AIs can build better AIs, creating an accelerating feedback loop, is no longer theoretical. Leaders from Anthropic, OpenAI, and Google DeepMind have publicly confirmed they are actively using current AI models to develop the next generation, making RSI a practical engineering pursuit.

Top AI researchers currently wield significant influence, able to force policy reversals at labs like Anthropic because their talent is indispensable. However, this power is temporary. Once recursive self-improvement (RSI) becomes effective, the models themselves will drive progress, concentrating power solely with leadership and diminishing researchers' leverage.

Unlike any prior tool, AI can be directly applied to improve its own creation. It designs more efficient computer chips, writes better training code, and automates research, creating a recursive self-improvement loop that rapidly outpaces human oversight and control.

AI's ability to perform software engineering tasks that would take a human hours is doubling every 4-6 months. This rapid, exponential progress suggests a near-term future where AI can automate its own research and development. This self-improvement loop is the critical inflection point that could trigger a massive, unpredictable leap in AI capabilities.

Companies like OpenAI and Anthropic are not just building better models; their strategic goal is an "automated AI researcher." The ability for an AI to accelerate its own development is viewed as the key to getting so far ahead that no competitor can catch up.