Thoughts about AI generated content and it’s future irrelevance

The Future of AI-Generated Content: Trust and Its Implications

In today’s digital landscape, the proliferation of AI-generated content is transforming the way we consume and interact with information. As these technologies become more sophisticated, a crucial question emerges: Can we still trust the information presented to us?

One underlying concern is what could be termed the “believability collapse.” Imagine a scenario where entire domains—such as job listings, news articles, or social media posts—are predominantly produced by AI. If the authenticity of this content cannot be reliably verified, our confidence in digital information diminishes, risking a fundamental shift in how we perceive online content.

Historically, in the pre-AI era, evaluating written material—like resumes or reports—provided insights beyond mere words. A well-crafted resume not only highlighted skills but also reflected the candidate’s thought process and communication style. Conversely, a poorly written one revealed just as much about the individual’s capabilities. This led to a nuanced understanding based on subtle cues and context.

Today, with AI generating polished, impeccably aligned resumes and communications, these traditional indicators are eroded. The human element becomes less distinguishable, rendering such documents almost indistinguishable from artificially crafted counterparts. Consequently, the value we once placed on organic, human-created content diminishes, transforming resumes and correspondence into mere formalities—akin to elaborate business cards rather than genuine representations of individual effort.

This phenomenon isn’t limited to resumes. Emails, messages, voice notes—all forms of mediated communication—risk similar obsolescence as their AI-generated counterparts become indistinguishable from human input. To navigate this, the industry might need to implement new verification mechanisms—such as “human-authored” tags or real-time biometric authentication—to ascertain the true origin of content. Without such safeguards, we may default to skepticism, assuming any digital communication could be AI-created.

The implications are profound. If trust in digital interactions erodes, the value of online communication diminishes correspondingly. Face-to-face interactions could regain their primacy, relegating digital exchanges to less significant roles. This raises an important question: Why would organizations or individuals continue investing heavily in AI systems if the very foundation—trust—becomes uncertain?

In essence, the rapid and widespread deployment of AI-generated content risks undermining the integrity of the media forms that underpin modern society—text, audio, video, and images. Should trust vanish from these channels, we could see a swift descent into a “trust crisis,” where the distinction between