info@bazaartoday.com a property of Inrik
By 2026, the technology industry has entered an era of unprecedented valuations. Companies such as SpaceX, OpenAI, and Anthropic command valuations that would have seemed unimaginable only a decade ago. Some AI companies are valued at 50, 70, or even 95 times annual revenue. Investors continue pouring billions into private funding rounds, while governments around the world spend heavily on AI infrastructure, research, and incentives.
This raises a fundamental question:
Where does all the money come from?
Many assume that investment capital is simply sitting in bank accounts waiting to be deployed. In reality, much of today's investment ecosystem resembles a circular flow.
Pension funds invest in venture capital funds. Venture capital funds invest in startups. Startups spend heavily on cloud computing, chips, data centers, consulting, and employees. Much of that money flows to large technology companies such as Microsoft, Nvidia, Amazon, and Google. Those companies generate enormous profits and market capitalizations, which attract more investment from pension funds, ETFs, sovereign wealth funds, and retail investors.
The cycle repeats.
As long as investors believe future growth will justify current prices, capital continues circulating through the system.
Historically, investors valued companies based on profits and cash flow. Today's AI market often operates on different assumptions.
Anthropic, OpenAI, and other leading AI companies are valued primarily on expectations of future dominance rather than current earnings. Investors are effectively betting that these firms will become the foundational infrastructure of the global economy.
The challenge is that valuations are increasingly disconnected from present revenues.
A company trading at 95 times revenue must grow extraordinarily fast for many years to justify its valuation. Such expectations can create a feedback loop in which rising valuations attract additional investment, which further increases valuations.
This does not necessarily mean a bubble exists. However, it does mean investors are pricing in exceptional future outcomes.
Government spending plays a larger role than many realize.
Artificial intelligence relies on infrastructure that extends far beyond private investment:
In the United States alone, billions of taxpayer dollars support research institutions, chip manufacturing incentives, energy infrastructure upgrades, and technology development.
Governments justify these investments by arguing that AI is becoming as strategically important as railroads, electricity, highways, or the internet.
A critical question remains: who pays for the infrastructure supporting AI growth?
Data centers consume enormous quantities of electricity and water. New transmission lines, substations, and generation capacity often require significant public involvement or regulatory approval.
In many communities, residents worry that infrastructure costs may eventually be socialized while profits remain privatized.
If utility providers build billions of dollars of new infrastructure to support hyperscale data centers, some of those costs may ultimately be recovered through rates charged to households and small businesses.
This creates a legitimate public policy debate:
Should AI companies pay the full cost of infrastructure expansion they require, or should taxpayers and utility customers share the burden?
Supporters of an AI tax argue that technology companies benefit from public investments and should contribute proportionally to the systems that make their growth possible.
Potential approaches include:
The goal would not be to punish innovation but to ensure that communities hosting AI infrastructure receive a fair return.
The greatest risk is that capital becomes increasingly circular.
Investors fund AI companies.
AI companies spend money with technology suppliers.
Technology suppliers increase profits and stock prices.
Higher stock prices attract more investment.
More investment funds additional AI companies.
At some point, the system must generate sufficient real economic productivity to justify the capital invested.
If AI dramatically increases productivity across healthcare, education, manufacturing, transportation, and scientific research, today's valuations may eventually prove reasonable.
If not, investors may discover that future expectations exceed economic reality.
Artificial intelligence may become one of the most transformative technologies in history. Its benefits could be enormous.
But as governments invest public resources and communities host increasingly large data centers, policymakers must ask difficult questions about who bears the costs and who receives the rewards.
The future of AI should not be determined solely by venture capital and stock markets. It should also reflect the interests of taxpayers, utility customers, workers, and local communities whose infrastructure helps make these technological advances possible.
The debate is not whether AI should grow.
The debate is whether the economic gains from AI will be shared broadly—or concentrated among a relatively small group of investors and technology firms
By Hamid Porasl
@Bazaartoday
June 13, 2026