# AI Sector Funding Relies Heavily on Internal Investments

> The Bank for International Settlements reveals that AI companies are funding each other, with over 55% of their investments coming from within the industry. This circular investment pattern raises critical questions about the true demand driving the AI boom.

**Source**: 247wallst.com | **Published**: 2026-10-03 | **Type**: research

## Key Facts

- 55.2% of AI investments come from within the sector, indicating self-reliance in funding.
- 28.7% of deals involve AI firms investing in each other, revealing strong interdependencies.
- 46.4% of AI-to-AI deal value ties to supply relationships, indicating dual financial exposure risks.
- Investors express caution as AI demand may be artificially inflated by internal financing loops.
- Future growth depends on external customer demand to sustain the AI funding model long-term.

## Summary

A recent analysis by the Bank for International Settlements (BIS) has revealed that 55.2% of investments in artificial intelligence (AI) companies originate from other AI firms. This finding raises critical questions about the sustainability of the current AI funding landscape and highlights the intricate financial relationships within the sector. As AI continues to attract significant capital, understanding the dynamics of this investment ecosystem is essential for executives and business leaders.

The BIS study examined 1,246 AI firms and found that a substantial portion of funding is self-generated within the industry. This circular investment pattern suggests that AI companies are not only the primary investors in each other but also the largest consumers of AI technology. The analysis indicates that 28.7% of investment deals involved target companies that were also AI firms, underscoring a tightly woven financial fabric where one firm's revenue can directly support another's growth.

This self-funding mechanism is further complicated by commercial relationships. The BIS report noted that 46.4% of AI-to-AI investment deals involved companies that also had supply chain ties. In many instances, these investments are not purely financial; they often coincide with contracts for essential services or products, such as cloud computing or specialized hardware. This dual role of investment and supply creates a scenario where revenue growth may appear robust but is heavily influenced by internal financing rather than genuine market demand.

The implications of these findings are significant. Investors are increasingly questioning the real demand driving the AI boom. As AI firms invest heavily in each other, there is a risk that reported revenues may not reflect true market strength. The BIS warns that this could lead to a misperception of demand, with growth figures potentially inflated by internal capital flows rather than external customer purchases. This situation poses a challenge for long-term investors who rely on organic growth metrics to gauge the health of the sector.

Moreover, the interconnectedness of these companies raises concerns about financial stability. Should market conditions deteriorate, firms that are both investors and suppliers to struggling AI companies face compounded risks. They may experience simultaneous losses from their equity stakes and reduced orders from customers, creating a precarious financial environment. The BIS highlights that 46.4% of deal value tied to supply relationships could amplify these risks during downturns, making the sector vulnerable to broader economic pressures.

As the market evolves, the critical question remains whether demand from customers outside the AI sector will grow sufficiently to sustain the industry's momentum. Until external capital plays a more significant role, the current reliance on internal funding could limit the potential for long-term growth. Executives must navigate this complex landscape with caution, recognizing that while the AI sector is experiencing a surge in investment, the underlying demand dynamics may not be as robust as they appear.

Looking ahead, companies in the AI space should prioritize developing strong customer relationships beyond the industry. Building a diverse client base will be crucial for mitigating risks associated with circular funding. As the market matures, those that can demonstrate genuine demand from end-users will likely emerge as leaders, while others may struggle to maintain their growth trajectories in a shifting economic landscape.

## Entities

- **Products**: AI equity, cloud services
- **Technologies**: artificial intelligence, chips
- **People**: Michael Burry
- **Organizations**: Bank for International Settlements

## Key Concepts

AI funding, circular relationships, investment loops, self-financing, commercial supply chain, demand visibility, financial exposure, market dynamics

## Definitions

- **circular relationships**: These are financial connections where investments and revenues flow back to the originating companies, creating a closed loop of funding.
- **AI equity**: Equity stakes in companies that develop or utilize artificial intelligence technologies.
- **self-financing**: A situation where a sector or company funds its own growth through internal investments rather than relying on external capital.
- **commercial supply chain**: The network of suppliers and customers involved in the production and distribution of goods and services.
- **financial exposure**: The risk a company faces due to its investments and financial commitments, particularly in interconnected markets.

## Use Cases

- AI firms investing in other AI firms
- AI companies supplying products while also investing
- Leveraging investments to secure supply chains
- Using equity stakes to influence market dynamics
- Financing customers to ensure demand for inputs

## Frequently Asked Questions

**What does the 55.2% figure indicate?**

The 55.2% figure indicates that a significant portion of investments in AI companies comes from other AI companies, suggesting a self-sustaining funding model within the sector.

**Why are circular relationships a concern for investors?**

Circular relationships can make demand appear stronger than it is, as revenue generated may be tied back to the same companies providing the funding, leading to potential overvaluation.

**What risks are associated with AI investments?**

Risks include increased correlation between financial exposures, visibility issues with off-balance-sheet commitments, and the potential for double losses during downturns.

**How does self-financing affect AI market dynamics?**

Self-financing can create a dependency on internal capital, which may hinder growth if external demand does not increase to support the sector's revenue.

**What should investors watch for in the AI sector?**

Investors should monitor the growth of demand from customers outside the AI sector to determine if it can replace the internal funding currently supporting the industry.

## Links

- [Read on Welcome.AI](https://welcome.ai/content/ai-sector-funding-relies-heavily-on-internal-investments)
- [Original source](https://247wallst.com/investing/2026/10/03/the-ai-money-machine-55-of-investment-in-ai-companies-comes-from-other-ai-companies/)

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Source: Welcome.AI | https://welcome.ai/content/ai-sector-funding-relies-heavily-on-internal-investments