Abby Joseph Cohen Warns: The Uneven Economy and the AI Investment Mirage

Imagine a moment when every conversation in the room turns to one single topic. At a recent gathering in Shanghai, I watched as a group of founders and analysts animatedly discussed the same thing: AI. Not its societal implications, not its long-term utility, but the sheer volume of capital flowing into the sector. One of them said, "It is the only game in town." And I felt a chill. Because in a healthy ecosystem, when everyone is playing the same game, it usually means the rules are about to change. This is the same unease that Abby Joseph Cohen, the veteran Goldman Sachs strategist who famously called the 1990s bull market, has recently articulated. Her warning is not about a single asset class; it is about a system becoming fundamentally unbalanced. And for those of us who build on a different kind of infrastructure—the one where code and human values align—her words deserve more than a passing glance. Cohen's thesis, published in May 2024, is straightforward: the economy is uneven, and the current pace of AI investment is unsustainable. As a macro economist, she sees the structural underpinnings, not just the market temperature. The context for her warning is the post-pandemic era, where massive fiscal and monetary stimulus has been unevenly absorbed. While the headlines celebrate AI-driven productivity and the spectacular earnings of a few chipmakers, the rest of the economic body remains lukewarm. This is a tale of two economies: one that is hyper-accelerating in the digital realm of data centers, and the other, the physical economy of small business and traditional manufacturing, which is still waiting for its own recovery. In the blockchain world, this should sound familiar. It is the same dynamic that occurs when we see speculative liquidity concentrated in a few 'hot' DeFi protocols while the rest of the ecosystem struggles to attract users. The fragmentation is not just a market condition; it is a structural flaw. The core of Cohen's warning is an analysis of capital concentration. As an applied mathematician, I see this in terms of risk. The market's expectation is that AI infrastructure will be adopted by every enterprise. But the risk is that we are building a massive supply of AI compute capacity without a corresponding demand. Her point is that if you are a company like a bank, you don't need to buy a $100,000 GPU for a small task. This is the same mistake we see in the Layer 2 arena, where dozens of chains launch with the same security assumptions, all fighting for the same user base. They are not scaling the ecosystem; they are slicing up the existing liquidity into ever smaller fragments. When the market is flooded with these 'scaling' solutions, the result is not growth but a fragmented user experience that confuses new entrants. This is the 'AI Investment' issue in the context of a different tech sector. The resulting enthusiasm creates a war for dominance that only benefits a few, while the core value proposition gets diluted. A contrarian take from Cohen's warning is the positive implication for the blockchain community. If Cohen is correct, and the current AI investment is a bubble, then the capital allocation to 'AI' that is blind to profitability will eventually slow down. When the hype fades, and it will fade, the market will look for actual utility, not just a story. This is the moment where the digital truth layer, and the concept of decentralized identity, becomes paramount. In a world where AI can generate an infinite number of articles, images, and voices, the only way to distinguish the real from the synthetic is by having an identity layer that is not controlled by the AI machine itself. The post-AI boom scenario is a world where the 'proof of humanity' is the scarcest resource. This is the same as the future of the Bitcoin L2s. Many are just Ethereum projects rebranding, but when the hype is gone, the community will settle for the actual integrity of the Bitcoin base layer. The real value will be in the native trust, not the borrowed narrative. For me, the proof of this is in the data from my own audits. I have looked at the economic models of several 'AI + Crypto' projects, and most of them are simply restaking or liquidity reward loops. They are designed to attract the massive amount of fiat money looking for a home. The founder has no clear path to user adoption. In one instance, a project was planning a new L2 with a 'AI-proof of work' mechanism, but the math showed that the cost of compute would be too high for any real user, and the only way to make the token go up was to have more 'AI' jobs, which they were creating themselves. This is the system of 'self-contained' growth, not the foundation. That is the 'sustainability' of a bubble. The market is in a state of an 'unbalanced' expansion. While the news is full of AI breakthroughs, the traditional indicators of economic health—the PMI, the core PCE inflation—are not screaming 'healthy growth.' They are showing a mixed bag, and that is the signal. The user is trying to escape a bear market, and they are seeking a safe haven. The 'AI' narrative is the current safe haven, but it is a place with high walls and a fragile foundation. As a community, I see a different path. We are not building the 'fastest' or the 'biggest'; we are building the 'most transparent' and the 'most human.' The ecosystem should not be chasing the same fake AI trend. Instead, it should be preparing for a world where the AI infrastructure is a utility, but the 'authenticity' of the identity is the premium layer. So, when we hear the warning of a wise macro strategist, we should not just see it as a 'bear market' or 'bull market' signal. We should see it as a reminder that in a world of infinite technological possibilities, the ultimate value is still in the finite resource of human attention, trust, and authenticity. The AI might be the new 'gold rush', but the people who make the picks and shovels are not the ones who will survive. The ones who will survive are the ones who build the 'land registry' for the new world. The 'unbalanced' economy will eventually force the rebalancing, and the capital will flow to the projects that can prove their worth, not just their hype. It is a reminder to stay curious, stay decentralized, and to be the bridge between the code and the human. It's a call to build the future, not just to trade it.