Opinion by: Syed Hussain, founder and CEO of SHIZA
Against geopolitical and macroeconomic flux, the traditional labor economy is eroding faster than policymakers, educators or even technologists will admit. With AI systems now outperforming most humans at tasks once considered safe — writing software, generating marketing content, analyzing data and even providing strategic advice — the core assumption that time and skills can be reliably traded for money is being dismantled in real time.
We’re witnessing the breakdown of an entire economic model based on labor as the primary mechanism for value creation.
While debates rage on about whether AI will replace jobs, the more relevant question is who owns the new infrastructure of value creation. If intelligence becomes a resource, then those who own and direct their AI agents, rather than rent access to opaque, centralized models, will shape the next economy. This is where crypto enters the equation, not as a niche financial tool, but as the foundational infrastructure for owning AI systems rather than remaining dependent on those built and controlled by Big Tech.
Some industry commentators may take issue with this contention, remaining firm in their belief that AI is best regulated centrally to ensure safety or that crypto’s financial chaos disqualifies it from stewarding AI. Others may argue that concerns about the “end of labor” are premature or alarmist.
The automation wave nobody saw coming
The trend is clear. The current wave of AI automation is not like past technological shifts. It’s not slowly replacing factory workers; it’s rapidly absorbing white-collar roles that once defined the middle class.
Basic content generation, financial modeling, legal research, software development and academic analysis are already being offloaded to AI agents. And more sophisticated domains, including strategic planning, teaching, relationship management and scientific discovery, will likely be disrupted within five years.
AI collaboration and orchestration
In the undisputed AI era, traditional skills are losing value fast, and what matters now is systems thinking, the ability to orchestrate and own AI workflows. This means building personal AI agents trained on your unique knowledge, directing them to perform tasks and ensuring the value they create returns to you. The goal can no longer be to compete with AI but instead to conduct it, which requires infrastructure supporting autonomy and ownership.
Thankfully, the evolving ownership economy, grounded in control over digital tools, data and value flows, offers a viable path forward. Specifically, blockchain enables this through private model training, decentralized compute, tokenized incentives and wallet-based identity systems.