The current era offers an unprecedented amount of analysis, surpassing any point in human history. However, despite this abundance, most individuals have less understanding of actual events than they did five years ago. The primary difference lies in the scale: when analysis was costly to produce, a natural filter existed, ensuring that producers were knowledgeable due to the high reputational and financial risks of being incorrect. Now, with minimal costs, anyone can generate macro takes resembling those from a Goldman desk in mere minutes.
As a result, noise is increasing exponentially while genuine signal remains relatively constant. The challenge is that this noise no longer appears as noise; instead, it is polished, structured, and utilizes the right terminology and data, making it difficult to distinguish from actual signal. The systems responsible for flooding markets with noise can also be used to cut through it, which is what I have demonstrated over the past two years on X, with every call timestamped and publicly available, covering geopolitics, energy, macro, crypto, and broader markets. The account grew organically to over 140,000 followers without paid promotion, and Signal Core on Substack became the #3 best-selling crypto publication within nine months, proving that signal alone can be enough in a market overwhelmed by noise.
The signal-vs-noise problem has emerged at the worst possible time, with the next twelve months poised to reshape more of the financial, technological, and geopolitical order than the past decade combined. Digital assets are integrating with traditional finance at an unprecedented pace, regulatory frameworks are being rewritten, AI is transforming capital allocation, geopolitical orders are realigning, and monetary policy is at an inflection point.
These foundational shifts are occurring simultaneously, compounding on each other, and this is precisely when the ability to see clearly has collapsed. There has never been more at stake, yet never less clarity on what is actually happening. The convergence problem is worse than a noise problem, as AI is converging everyone toward the same incorrect answers simultaneously.
When numerous people use these tools to analyze the same event, they do not get diverse perspectives; instead, they get minor variations of the same default output. The tools do not just fail to produce signal; they manufacture false agreement. Before AI, if multiple analysts agreed, it meant something. Now, if many accounts agree, it might just mean they used the same tool.
In practice, this can be seen in the example of the prevailing view in January that a direct U.S.-Iran confrontation was unlikely, while the structural picture told a different story. More than a month before the strikes, indicators pointed to a confrontation that was more likely than not, which we flagged publicly on X while the crowd dismissed the risk. The inputs we watched were not exotic but included public statements, internal economic pressure, and the absence of certain de-escalation patterns.
Anyone with internet access could see the same things, but the edge was in synthesis - reading those inputs as a single converging system rather than separate news streams. This synthesis is the hard part, and it has never been about technology but how it is used.
The pattern is that the information is available, the tools to process it are available, but what is missing is the ability to read the signal before the crowd forms around the wrong interpretation. Most people use AI to generate, but very few use it to see. Signal is the ability to look at a situation that confuses the market and see the underlying structure.
It is when you can hold a position that every feed tells you to abandon but hold it anyway because you can see something others cannot. The challenge for most is not generating signal themselves but recognizing who actually has it. Most analysis is hedged to the point of meaninglessness, and the old filter of credentials no longer predicts who is seeing clearly.
What matters now is whether someone is actually seeing what is happening, recognizing patterns the crowd misses, naming what is real before it is obvious, and being right often enough that it holds up over time. Once you can see clearly, you operate on a different timeline than the rest of the market. We are entering an era where signal is the most valuable and least understood asset in the market. The investors, builders, and allocators who figure this out first will have a structural advantage that compounds over years.
Finding rooms where real signal still shows up is getting harder, as most venues that claim to aggregate market intelligence are just amplifying what the models already produce. Consensus 2026 in Miami is one of the few that still functions as a filter rather than an amplifier, where the people who show up have skin in the game, and their disagreements are real. The edge will not belong to whoever has the most information, the fastest tools, or the loudest platform, but to whoever can see clearly when everyone else is drowning in noise. That is the scarcest resource in markets right now, and it is only getting scarcer.