AI: Trust Crisis, Labor Market, and Real-World Cases
AI is entering an era where technological advancements clash with public trust. Zoomers dominate key AI roles, and Anthropic's CEO calls it a trust crisis. Meanwhile, developers are using AI to rescue aging equipment.
The past few weeks have demonstrated a paradox of artificial intelligence: on one hand, rapid growth in adoption; on the other, deep mistrust. Anthropic CEO Dario Amodei has defined this as a "trust crisis," arguing that people do not trust companies, governments, or the tech industry as a whole. This has become a serious barrier to scaling AI solutions, especially in small and medium-sized businesses, where customer and employee trust is a key asset.
Who Is Filling AI Job Roles?
According to data, more than two-thirds of new hires for AI Engineer and Forward Deployed Engineer positions are members of Generation Z (Zoomers). The median salary for an AI Engineer is approximately $166,000, while for a Forward Deployed Engineer, it is $199,000 per year. This indicates that the market is rapidly aligning with a young, tech-savvy audience that demands agility, speed, and innovation.
Practical Cases: AI as a Rescue Tool
Amid widespread mistrust and high expectations, AI is already proving its value in specific, non-obvious areas. For example, a developer under the username Kuberwastaken used Claude Code to create a macOS driver for HP Laser 1008a printers. These devices were designed solely for Windows, and HP did not provide macOS software for them. Thanks to AI, printers once considered "dead" have come back to life. This example shows how AI can solve specific technical problems for which no market solutions exist.
What This Means for Business?
The trust crisis does not mean AI is stopping its development. On the contrary, it demands greater transparency, ethics, and practical utility. For small businesses, this means: do not wait for "perfect" technology. It is worth experimenting with tools that already work—whether for automating routines, supporting legacy equipment, or building minimal solutions. AI is no longer just for large corporations; it is becoming a tool for those seeking quick, affordable, and effective solutions.
The key is not to trust everything AI proposes, but to verify, test, and implement gradually. Zoomers, who are filling the market, demand exactly this approach—flexible, experimental, and results-focused.
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This article was drafted with AI assistance and reviewed by our editorial team. Editorial Policy