For the US, the stability of the stock markets isn't just about providing market comfort — it's a key component of the financing mechanism for the AI ​​infrastructure race that will determine the future of nations. If markets collapse during this investment period, the US will lose both capital and strategic advantage. Below, I explain the reasons and consequences step by step.

1) The big thesis: AI transformation is not a ‘luxury,’ it’s a strategic necessity
AI isn't just a project to make companies more profitable; it's a national mobilization requiring infrastructure, chip manufacturing, data center capacity, electricity/energy investments, and large government-backed research programs. Without these investments, it's difficult for the US to maintain its technological leadership — and its financing is largely dependent on capital markets.

2) Global investor interest is increasing — external demand remains strong
Capital from abroad is keeping demand for US stocks alive; recent data and market commentary confirm this. This represents a global capital flow, not limited to buyers within the US. America is financing its AI transformation using investors from all over the world.

3) Retail investor access is significantly easier than before — meaning a broader capital base.
Fractional shares, commission-free platforms, mobile applications, and low-barrier interfaces have made it possible for individuals to invest in large companies even with small amounts of money. Research and company reports show that this new access has broadened the investor base; the growth figures of large platforms are proof of this. This means that raising capital has become more democratic; companies can rely on a wider pool of buyers when funding through public offerings or share sales. As you can see from the graph below, there has been a huge leap in this area between 2019-2020. By consciously increasing the number of retail investors on the stock exchange, it becomes easier to find money.

4) The financing mechanism — why market ‘crashes’ halt investments.
When companies finance AI projects that require large amounts of capital, they often:

-- Raise capital through initial public offerings, additional share sales, or corporate bond issuance.

-- These tools require stable demand and ‘hot’ market conditions. If the market experiences a sharp decline:

-- IPOs are delayed or pricing becomes too costly,

-- Secondary offerings fail to succeed,

-- Companies cannot find the necessary capital in time.
Result: Large AI facilities, chip factories, data centers, and energy connections are either delayed or downsized — and this jeopardizes technology leadership.

5) Government role and direct support — the US is taking on this

The US federal government openly states that it sees AI leadership as a national goal; in recent years, policies, platforms, and resources have begun to be channeled to AI at the federal level. Active government support complements private sector investments and mitigates risks. This shows that the government is unlikely to allow markets to remain fragile until investments are completed.

6) The US must continue to suppress oil prices and the Fed must continue with interest rate cuts. Because AI investments require high energy and cheap capital. If oil prices rise, costs and inflation increase; if interest rates remain high, financing stops. This also leaves AI investments incomplete. The US cannot allow either energy costs to spiral out of control or financial conditions to tighten until the AI ​​race is over.

7) Geopolitical background: Competition with China
AI is already an area of ​​economic and strategic competition. For the US, falling behind in AI means not just the loss of a few companies; it means the loss of technological superiority, supply chain risks, and national security risks. Therefore, both the public and private sectors have a strong motivation to continue the investment chain.

8) Practical example flow (step-by-step)

-- Investor demand + liquidity → companies find capital at very low costs.

-- Capital → chip investments, data centers, new factories, training & research programs.

-- When this infrastructure is completed: productivity increases, company profits grow, export capacity increases.

-- In short, the logic that market disruptions should not be allowed until the cycle is complete comes from here.

9) Counterarguments and Risks (Honest Assessment)
Yes, the theory is strong, but there are some risks:

-- Overvaluation/bubble risk: If AI expectations have overpriced some assets, rational corrections could cause sharp declines in the markets, but I don't think these declines will last long. (This shouldn't be underestimated.)

-- Energy and infrastructure bottlenecks: AI infrastructure is energy-intensive; grid capacity problems or cost increases could slow down projects.

-- Geopolitical surprises: Trade restrictions, technology export bans, or unexpected sanctions could disrupt capital flows and supply chains.

-- Macroeconomic risks: Factors such as a collapse in consumer demand increase investment costs.

These risks are real; however, the US has the ability to mitigate them through both public policy and attracting global capital.

10) Conclusion — why the argument is that “stock markets should continue to rise”:

-- The success of the AI ​​transformation requires significant capital.

-- Both foreign capital and retail investors have the capacity to provide this capital.

-- Federal policy and direct investments (research programs, infrastructure support) are working to complete the process.

-- If markets collapse at this stage and funding channels close, the US risks falling behind both economically and strategically — which is why policymakers/market actors are trying to maintain favorable conditions for the continuation of the process.

In short, strong stock markets are a strategic necessity for the completion of AI investments. With this level of debt and AI investment cycle, America cannot allow the country to fall into recession or for markets to collapse.

This is not investment advice. This is simply my thesis for the coming years. Stock markets may correct occasionally, but I believe the direction is upward.