The current analysis available surpasses any point in human history. Yet, most individuals have less understanding of what is happening now than five years ago.
The change lies in scale. When producing analysis was costly, a natural filter existed, as those producing it had to be knowledgeable due to reputational and financial risks.
Now, the cost is nearly zero, allowing anyone to generate macro takes that resemble Goldman desk outputs in mere minutes. Noise is growing exponentially, while genuine signal remains constant. The problem is that noise no longer appears as noise; it looks like signal, polished and structured, using the right terms and citing data. Distinguishing between the two is the primary challenge.
The same systems flooding markets with noise can be utilized to cut through it. This is what I have been proving over the past two years on X, with every call timestamped and no deletions, covering geopolitics, energy, macro, crypto, and broader markets. The account grew organically to over 140,000 followers with no paid promotion, and Signal Core on Substack became the #3 best-selling crypto publication within nine months.
In a market overwhelmed by noise, signal alone was sufficient. The signal-vs-noise issue has arrived at the worst possible time, with the next twelve months set to reshape the financial, technological, and geopolitical landscape more 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, and geopolitical orders are realigning. These foundational shifts are occurring simultaneously, compounding on each other, and this is when the ability to see clearly has collapsed.
The convergence problem is worse than a noise issue, as AI is driving everyone toward the same incorrect answers. When a thousand people use these tools to analyze an event, they get minor variations of the same default output, not a thousand different perspectives. The tools manufacture false agreement. Before AI, if five analysts agreed, it meant something; now, if five hundred accounts agree, it might just mean they used the same tool.
In January, the prevailing view was that a direct U.S.-Iran confrontation was unlikely, but 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. We flagged this publicly on January 13 while the crowd dismissed the risk. When the strikes hit, and oil nearly doubled, the move caught most of the market off guard.
The signal was there, but the crowd was not looking at it. The inputs we watched were not exotic but included public statements, internal economic pressure in Iran, and the absence of de-escalation patterns. Anyone with internet access could see these, but the edge was in synthesis - reading those inputs as a single converging system. This is the pattern: the information was available, the tools to process it were available, but what was missing was the ability to read the signal before the crowd formed around the wrong interpretation.
Most people use AI to generate, but few use it to see. Signal is when you can look at a confused market and see the structure underneath, holding a position despite the crowd's opposition because you see something they do not.
The challenge for most is recognizing who actually has signal. Most analysis is hedged, avoiding accountability dressed as analysis. The old filter of credentials no longer predicts who sees clearly. What matters now is whether someone actually sees 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. Investors, builders, and allocators who figure this out first will have a structural advantage that compounds over years. Finding rooms where real signal shows up is getting harder, as most venues amplify whatever models spit out.
Consensus 2026 in Miami is one of the few that still functions as a filter, where people have skin in the game, and their disagreements are real. The edge will not belong to those with the most information, the fastest tools, or the loudest platform, but to whoever can see clearly when everyone else is drowning in noise. This is the scarcest resource in markets now, and it is only getting scarcer.