The current analysis landscape offers more information than ever before in history. However, despite this abundance, most individuals have less clarity on actual events than they did five years ago. The primary difference is the sheer scale of analysis available today, which has removed the natural filter that once existed due to production costs. Now, with minimal reputational and financial risks, anyone can produce analysis that mimics that from a reputable source like Goldman, but with potentially flawed foundations.
This noise is growing exponentially, while genuine insights remain relatively constant. What's more insidious is that this noise is now polished and structured, making it increasingly difficult to differentiate from actual signal.
The tools used to produce this noise are designed to sound correct, regardless of the actual validity of the output. The challenge now is to discern the real signal from the noise, a skill that can be developed and honed. Over the past two years, I have been publicly demonstrating this ability on X, across various domains including geopolitics, energy, macroeconomics, cryptocurrency, and broader markets, with every call timestamped and unchanged.
This effort has grown an audience of over 140,000 followers organically, without paid promotion or attachment to a personal name. On Substack, the Signal Core, which is the hub of the full forecasting operation, became the third best-selling crypto publication within nine months, proving that signal alone can be a powerful draw in a noisy market.
The current moment is critical, with the next twelve months poised to reshape more of the financial, technological, and geopolitical landscape 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 a turning point. These foundational shifts are happening simultaneously and compounding on each other, at a time when the ability to see clearly has never been more collapsed.
The issue at hand is not just a noise problem but a convergence problem, where AI tools lead multiple analysts to the same incorrect conclusions, manufacturing a false consensus. Before AI, consensus among analysts meant something; now, it might just mean they used the same tool. In practice, this means that even when indicators point to a different story, such as the likelihood of a U.S.-Iran confrontation, the prevailing view can be misleading. The edge in the market will not belong to those with the most information or the fastest tools but to those who can see clearly amidst the noise.
This ability to recognize signal when everyone else is confused is the scarcest resource in markets today and is becoming increasingly valuable. Most people use AI to generate content, but few use it to truly see and understand. Signal is the ability to look at a confusing situation and see the underlying structure, to hold a position despite the crowd's opposition because you see something they do not. The challenge is not in generating signal but in recognizing who actually possesses it.
Credentials no longer predict clear sight; what matters is the ability to recognize patterns the crowd misses and be right often enough that it holds up over time. Those who can see clearly 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.
The investors, builders, and allocators who figure this out first will have a structural advantage. Finding venues where real signal emerges is getting harder, as most platforms amplify the noise rather than filter it. Events like Consensus 2026 in Miami, where attendees have skin in the game and disagreements are real, are becoming rare. The edge will belong to whoever can see clearly when everyone else is drowning in distractions, a skill that is becoming the scarcest resource in markets.