Notably, examples cite GPT-5.3 Codex aiding debugging, deployment, and evaluation, implying AI can help build itself and accelerate progression toward more autonomous systems.

At Schumer’s company, AI is already handling complex tasks such as writing, editing, and debugging code autonomously, reducing the need for traditional teamwork in these areas.

A rapid AI disruption is underway, with estimates that up to half of entry-level white-collar roles could be at risk in the next one to five years as AI expands beyond repetitive tasks to broader cognitive work.

The current AI shift is likened to the early, underappreciated warnings before the COVID-19 era, signaling that the impact may be larger than most people realize.

Individuals should adapt by taking AI seriously for real work, using the latest paid tools rather than outdated free versions, and building financial resilience alongside flexible, in-demand skills.

OpenAI and Anthropic executives suggest AI systems are already contributing to their own improvement, with mentions of self-directed development toward next-generation capabilities.

The trajectory is clear: AI is here to stay, and those without updated skills risk falling behind in an AI-influenced job landscape.

For younger workers, the recommendation is to pursue genuine interests, cultivate curiosity, learn to work with AI, and focus on meaningful tasks rather than sticking to traditional paths.

Professionals should learn to supervise AI outputs, develop judgment-based and human-interaction skills, and integrate AI tools into daily work as the shift accelerates.

A FAQ notes the self-improvement claim via GPT-5.3 Codex and lists screen-based cognitive jobs as being at risk.

AI capability is rapidly accelerating, with metrics showing models increasingly delivering expert-level work, and notable milestones around 2022–2026 culminating in a major leap with early February 2026 model releases.

METR measurements illustrate tasks going from minutes to hours of independent model execution, with the duration doubling every few months as AI progresses.