They can be summarised as:

1. The "AI Obsolescence" Trap

The massive surge in demand for AI-related hardware (GPU clusters and specialized data center tech) has created a unique headache for lessors.

 

• Rapid Depreciation: Unlike a tractor or a crane, AI hardware loses value at an unprecedented rate due to the speed of innovation.
• Residual Value Risk: Calculating what a piece of equipment will be worth in three years is nearly impossible when next year's model might be five times faster.Putting this into context, the RV is applicable for an Operating lease or a finance lease when considering potential events of default by the borrower. The RV argument was postulated when lessors began to finance Software. How can there be any RV? The focus therefore became one of credit worthiness and not RV risk. The conclusion to this line of thinking was that “equipment finance is equivalent to unsecured lending”. The same can now be argued for finance of AI.

2. Interest Rate Volatility & Margin Compression

While inflation in many regions is cooling toward the 2% target, the "higher-for-longer" interest rate environment of recent years has reshaped the market.

• Funding Costs: Higher borrowing costs for lenders mean they must either squeeze their profit margins or pass costs to customers, which can dampen demand for non-essential expansion.
• Replacement vs. Expansion: Many businesses are pivoting to "replacement demand" (fixing what's broken) rather than "expansion demand" (buying more) because of the cost of capital.

3. Credit Quality and Scrutiny

Lenders are becoming increasingly disciplined. While approval rates remain high (around 77-78%), the criteria have tightened.

• Shift to Quality: Lenders are moving away from "fast approvals" toward "transparent decisions." and these decisions are based more heavily on due diligence and credit worthiness.
• Underwriting Complexity: As businesses adopt more complex, software-integrated equipment, traditional credit models often fail to capture the true risk of the borrower's digital-first business model.

4. ESG and "Green" Asset Valuation

Sustainability is no longer a "nice-to-have" but a regulatory requirement.

• Standardization Gap: There is still significant friction in how "green" assets are defined and valued across different global jurisdictions (e.g., the EU vs. Asia-Pacific).
• Stranded Assets: Lenders face the risk of financing traditional internal combustion equipment that may become obsolete or heavily taxed before the lease term ends.

5. The Digital "Arms Race"

The industry is split between "Digital Leaders" and "Manual Laggards."

Embedded Finance: Customers now expect financing to be integrated directly into the manufacturer’s (OEM) checkout process.) Hence the Connaught Vendor Finance Programs with major global manufacturers. But this does not mean that credit worthiness is by passed.

Integration Costs: Small and mid-sized independent finance firms are struggling to fund the API-first platforms and AI-driven underwriting tools needed to compete with big banks and tech-forward captives.