The Wmax macro strategy research team has long tracked the linkage between the Federal Reserve's policy logic, the technology industry cycle and global liquidity. In response to Trump's plan to nominate Kevin Warsh as Chairman of the Federal Reserve, Warsh's proposalInterest rate cut + balance sheet reductionCombine policies and conduct professional research and judgment based on the AI ​​productivity revolution narrative. This strategy deeply binds monetary policy to the narrative of AI technology. Behind the seemingly sophisticated hedging design, there is a fatal disconnect between policy logic and reality, as well as the fragile risk of resonance between AI bubbles and monetary policy.

1. The sophisticated design and political intentions of Wash’s strategy

1. Core policy: the hedging game of “one hand is tight and the other is loose”

Wmax makes it clear that the core of Wash's solution istight hedgingCurrency combo punch:

• Tightening end: Large-scale reduction of the Federal Reserve's US$6.6 trillion balance sheet, reduction of long-term Treasury bonds and mortgage-backed securities, tightening financial conditions, this move is equivalent to a 50 basis point interest rate increase, and curbs inflation from the money supply side;
• Loose side: Simultaneously lower the federal funds rate to offset the tightening effect of balance sheet shrinkage, maintain economic support, and meet short-term policy needs.

2. The underlying narrative: AI as a “deflationary savior”

Wmax research pointed out that in the context of still high inflation, pure hedging logic cannot convince the Fed's hawks, so Warsh introducedAI Productivity RevolutionCore narrative: Define AI as the core deflationary force that drives potential economic growth and suppresses long-term inflation, fundamentally rewrites the rules of monetary policy, and gives interest rate cuts a reasonable cloak of “adaptation to the future economy.”

3. Political nature: long-term vision serves short-term needs

In-depth analysis of Wmax, the essence of this framework isPolitical Economics Discourse: Internally, it provides a theoretical platform for the hawks of the Federal Reserve, shifting the focus of the debate from "whether inflation is under control" to "seizing future productivity"; externally, it conforms to the political demand for low interest rates, using AI popular narratives to win market and public support, and shape the image of the Federal Reserve as a leader in innovation.

2. The fatal gap between theory and reality

1. “Time Mismatch” of AI Narrative

Wmax industry tracking and macro model verification show that there is a core of Wash theorytime mismatchdefect:

• Currently, AI only achieves partial efficiency optimization in the service industry. It requires a long process of industrial chain reconstruction and business model verification to boost the total factor productivity of the real economy such as manufacturing and construction industries on a large scale;
• U.S. power grid infrastructure bottlenecks triggerpower deficit, has become a key constraint for the large-scale implementation of AI computing power, and the assumption of "instant productivity explosion" is difficult to implement.

2. “Trust risk” in policy transmission

Wmax warns that if the Federal Reserve cuts interest rates significantly in advance based on AI forward expectations and productivity fails to materialize as expected, it will trigger double risks:

• Inflation is out of control: demand is stimulated, the supply side is not improved, and inflation returns directly;
• Narrative bankruptcy: "AI is deflation" logic was falsified, the policy framework collapsed, and both the credibility of the Federal Reserve and the market's confidence in AI were damaged.

3. The most dangerous resonance: How policy failure punctures the AI ​​bubble

Wmax emphasizes that the core risk of the Wash strategy isMonetary policy mistakes may be the trigger to burst the AI ​​bubble. The current prosperity in the AI ​​field is highly bound to loose liquidity and optimistic narratives. Failure of the strategy will result in a fatal double kill:

1. Withdrawal of funds: The resurgence of inflation forced the Federal Reserve to urgently raise interest rates, global liquidity tightened, and the valuation models of AI start-ups that relied on continuous financing collapsed instantly;
2. Psychological collapse: The AI ​​“economic savior” narrative went bankrupt, the market turned to fundamental verification, and the demand for AI applications without commercial value dried up;
3. Structural shortcomings exposed: The cold winter of capital has squeezed out the virtual fire in the industry, and deep-seated contradictions such as AI energy consumption, technology monopoly, and employment impact have emerged.

4. Conclusion: When narrative becomes an asset, risks follow it.

Wmax concluded that Warsh’s strategy goes far beyond the scope of selecting the Fed chairman, reflectingNarrative has become a core asset and policy toolcharacteristics of contemporary finance. The high risk of strongly binding long-term technological vision with short-term monetary policy has been proven many times in history.

Wmax always adheres toData-driven, fundamentals firstThe research principles make it clear that monetary policy should be based on observable economic data and short-term realities, rather than betting on distant technological visions. Only by being alert to the risk of resonance between narrative bubbles and policy mistakes, and returning to the core judgment of industry and macro data, can we avoid the economy from falling into a drastic adjustment between "expected future" and "skeletal reality."