The current era offers an unprecedented amount of analysis, surpassing any previous point in history. Yet, despite this abundance, most individuals have less clarity on actual events than they did five years ago.
The primary change is the scale; when analysis production was costly, a natural filter existed, ensuring producers had to be knowledgeable due to the high reputational and financial costs of being incorrect. Now, with virtually zero costs, anyone can generate analyses that mimic those from reputable sources like Goldman, in mere minutes. Noise is escalating exponentially, while genuine signal remains relatively constant. The insidious aspect is that noise now masquerades as signal, appearing polished and structured, utilizing appropriate terminology, and citing relevant data, making it challenging to distinguish between the two.
The systems that flood markets with noise can also be leveraged to cut through it, a capability I have spent two years demonstrating publicly on X, across various domains including geopolitics, energy, macroeconomics, cryptocurrency, and broader markets, with every call timestamped and nothing deleted. 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 sufficient in a market overwhelmed by noise.
The signal-vs-noise problem has emerged at the worst possible time, as the next twelve months are 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 in real-time, AI is transforming capital allocation, geopolitical orders are realigning, and monetary policy is at an inflection point, all while the labor market undergoes restructuring. These foundational shifts, occurring simultaneously and compounding on each other, have collapsed the ability to see clearly, despite the stakes being higher than ever. The convergence problem is worse than just noise; AI is driving everyone toward the same incorrect answers, manufacturing false agreement.
Before AI, consensus among analysts meant something, but now it might just indicate the use of the same tool. In practice, this means that even when indicators point to a different story, the crowd might dismiss the risk, as seen in the case of the U.S.-Iran confrontation, where our analysis, based on public statements, internal economic pressure, and the absence of de-escalation patterns, correctly predicted a confrontation that most of the market missed.
The inputs were not exotic, but the synthesis—reading those inputs as a converging system—was the edge. This pattern repeats; the information and tools to process it are available, but the ability to read the signal before the crowd forms around the wrong interpretation is missing.
Most people use AI to generate, not to see; signal is the ability to look at a confusing situation and see the underlying structure, to hold a position despite the crowd's disagreement because one can see something others cannot. The challenge is not generating signal but recognizing who actually has it, as most analysis is hedged and lacks accountability.
Credentials no longer predict clear sight; what matters is the ability to recognize patterns the crowd misses, name what is real before it is obvious, and be right often enough that it holds up over time. Once one can see clearly, they 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; those who figure this out first will have a structural advantage. Finding spaces where real signal emerges is getting harder, as most venues amplify the models' outputs rather than filter them.
Consensus 2026 in Miami is one of the few exceptions, where attendees have skin in the game, and their agreements and disagreements are genuine, not manufactured by the same models. The edge will belong to those who can see clearly amidst the noise, the scarcest resource in markets today, and it is only becoming scarcer.