The current era offers an unprecedented amount of analysis, yet many individuals have less understanding of what is happening than they did five years ago. This change can be attributed to the scale; when analysis was costly to produce, there was a natural filter, and those producing it had to be knowledgeable due to the high reputational and financial costs of being incorrect.
Now, with the cost of producing analysis being virtually zero, anyone can generate a macro perspective that resembles one from a reputable source like Goldman in just a few minutes. Consequently, noise is increasing exponentially, while genuine signal remains relatively constant. The problem is that the noise no longer appears as noise; instead, it is polished, structured, and utilizes the right terminology and data, making it difficult to distinguish from signal.
The systems that flood markets with noise can also be used to cut through it, which is what the creator of the SightBringer account has demonstrated over the past two years through publicly timestamped calls on geopolitics, energy, macro, crypto, and broader markets. The account has organically grown to over 140,000 followers without paid promotion, and its associated Substack publication, Signal Core, became the third best-selling crypto publication within nine months, highlighting the value of signal in a noisy market. The signal-vs-noise issue has arrived at a critical time, with the next twelve months poised to reshape the financial, technological, and geopolitical order more than the past decade combined. The convergence of AI, digital assets integrating with traditional finance, regulatory frameworks being rewritten, and geopolitical orders realigning is creating a perfect storm.
However, the ability to see clearly has collapsed, with more at stake and less clarity than ever before. AI is exacerbating the problem by converging everyone toward the same incorrect answers, manufacturing false agreement, and failing to produce genuine signal.
In practice, this means that even if many analysts agree on something, it may just be because they used the same tool, rather than having a genuine understanding of the situation. A case in point is the U.S.-Iran confrontation in January, where the prevailing view was that a direct confrontation was unlikely, yet the structural picture told a different story.
The indicators were pointing to a confrontation that was more likely than not, and this was flagged publicly on X on January 13, while the crowd was still dismissing the risk. The edge in the market no longer belongs to those with the most information, the fastest tools, or the loudest platform, but to those who can see clearly amidst the noise.
Signal is the scarce resource, and it is becoming increasingly difficult to find rooms where real signal still emerges. The ones who figure this out first will have a structural advantage that compounds over years, while those who keep consuming the flood without questioning it will continue to agree with the crowd and be wrong at the most critical moments.