Highlights

  • RBA Assistant Governor Brad Jones identified elevated artificial intelligence (AI) valuations, increasing debt financing and market concentration as emerging financial stability concerns.
  • Earnings expectations for the US information technology sector beyond the next three years had, until recently, implied approximately 45% annual growth over an indefinite horizon.
  • Greater reliance on vendor financing and circular financing arrangements is drawing regulatory attention to the financial structures supporting AI investment.
  • The RBA recognises AI's transformative potential while distinguishing technological progress from the financial risks associated with market expectations.

The rapid expansion of artificial intelligence investment is raising new questions about financial market valuations, borrowing arrangements and concentration risks as regulators examine the growing influence of technology companies on global capital markets.

During a panel discussion at the Super and Wealth Summit in Melbourne on 26 October 2026, Reserve Bank of Australia (RBA) Assistant Governor (Financial System) Brad Jones discussed the implications of AI-related investment activity for financial stability.

Jones acknowledged the transformative potential of AI while highlighting increasingly demanding earnings expectations and the greater use of debt to finance technology investment.

His remarks focused on potential financial vulnerabilities rather than questioning the underlying economic usefulness of artificial intelligence.

Elevated Earnings Expectations Raise Valuation Questions

One concern identified during the discussion was the level of earnings growth reflected in technology sector valuations.

Jones explained that expectations for the US information technology sector beyond the next three years had, until recently, incorporated approximately 45% annual earnings growth extending indefinitely.

He suggested that substantial positive expectations had already been reflected in parts of the capital markets.

"There is a lot of good news priced into parts of the capital markets," Jones stated.

Such expectations create sensitivity to changes in projected profitability, investment expenditure and the pace at which AI technologies generate commercial returns.

If realised earnings differ materially from market assumptions, equity valuations may respond accordingly.

However, Jones did not characterise current valuations as definitively irrational or provide a forecast for technology share prices.

Rising Debt Financing Adds Another Dimension

A notable distinction between the current AI investment cycle and the technology expansion of the late 1990s is the increasing role of debt financing.

Jones explained that the earlier technology boom was principally financed through equity, whereas debt is becoming more prominent in the current environment.

He also highlighted the emergence of less transparent financing arrangements, including vendor financing and circular financing structures.

Vendor financing involves a supplier providing financing to support a customer's purchase of products or services. Circular financing can involve interconnected funding arrangements between participants in an investment ecosystem.

These arrangements can complicate assessments of financial exposure where funding, spending and commercial relationships overlap.

The RBA's concern centres on how such financial structures could transmit stress if expected returns weaken or financing conditions become less favourable.

Market Concentration Creates Additional Exposure

Jones also raised concerns about the unusually high proportion of equity market capitalisation represented by a relatively small number of companies.

He indicated that comparable levels of market concentration were difficult to identify without looking back to the nineteenth century.

Concentration can increase the influence of a limited group of companies on the performance of broader equity indices.

When these companies operate within related industries or depend on similar growth expectations, changes in sentiment or earnings assumptions may affect multiple large holdings simultaneously.

This issue is relevant to diversified investment portfolios, including retirement funds with exposure to international equities.

Even where portfolios contain numerous securities, substantial index weights in a small number of companies can create exposure to common market risks.

What Does the AI Boom Mean for Australia's Superannuation Sector?

Australia's superannuation sector has significant exposure to financial markets through domestic and international investment portfolios.

The panel discussion noted that the sector manages more than AUD 4.4tn in assets, illustrating its importance to the wider financial system.

Changes in global technology valuations can affect portfolio performance, particularly where funds hold substantial investments in major international equity markets.

Jones's comments also highlighted the need for financial institutions and regulators to understand how market concentration and debt-financed investment could interact during periods of volatility.

However, the discussion did not identify a specific level of Australian superannuation exposure to AI-related companies or quantify potential portfolio losses.

AI Also Creates Operational Risks

Beyond market valuations, Jones identified operational resilience as another area receiving increased regulatory attention.

AI can strengthen defensive capabilities while simultaneously expanding the capabilities available to malicious actors.

Jones described this development as an accelerating contest between offensive and defensive technologies.

For financial institutions, the implications include cybersecurity, technology infrastructure and the capacity to respond to increasingly sophisticated operational threats.

These considerations extend beyond investment performance to the reliability and resilience of financial services.

Could AI Follow the Earlier Technology Market Cycle?

Jones drew a distinction between the long-term value of technological innovation and the financial market performance of companies associated with it.

He referred to the technology expansion of the late 1990s and early 2000s, when market valuations underwent a substantial correction despite the internet subsequently becoming an important part of economic activity.

The comparison illustrated how financial expectations can temporarily diverge from the longer-term development of a technology.

However, it was presented as a possible historical parallel rather than a prediction that AI-related equity markets would experience an equivalent correction.

Key Insights

The RBA's latest remarks identify three interconnected financial risks surrounding AI investment: demanding earnings expectations, increasing debt financing and substantial equity market concentration.

Jones also highlighted operational risks as artificial intelligence changes the technological capabilities available to financial institutions and potential attackers.

The discussion reflects growing regulatory attention to the financial structures supporting AI investment, while acknowledging the technology's potential to transform economic activity.

Future developments in corporate earnings, financing arrangements, capital market concentration and operational resilience will remain relevant to financial stability assessments.

Q1. What concerns did the RBA raise about AI investments?

Assistant Governor Brad Jones identified elevated market valuations, increasing debt financing and concentrated equity market exposure as emerging financial stability concerns.

Q2. What earnings expectations did the RBA highlight?

Jones referred to expectations that had, until recently, implied approximately 45% annual earnings growth for the US information technology sector beyond the next three years.

Q3. Why is debt financing important in the AI investment cycle?

Increasing debt financing may create additional financial exposures, particularly where investment arrangements are complex or difficult to assess.

Q4. How could AI market concentration affect superannuation funds?

Funds with substantial international equity exposure may be affected by changes in the valuations of large technology companies that account for significant index weights.

Q5. Did the RBA predict an AI stock market crash?

No. Jones discussed potential financial vulnerabilities and historical comparisons without forecasting a market crash or a specific correction.