Artificial intelligence is beginning to show up in a less obvious corner of the financial system: equipment financing. New business volume among surveyed equipment finance companies surged to $14.3 billion in July, according to the latest Equipment Leasing & Finance Association (ELFA) CapEx Finance Index, as AI-related investment helped push financing activity to a new monthly record.

The AI investment boom is creating demand far beyond GPUs and cloud infrastructure. Companies need servers, networking equipment, data-center capacity and other physical assets to deploy increasingly compute-intensive technologies—and the financing market is starting to reflect that spending.

New business volume in the equipment finance industry reached $14.3 billion on a seasonally adjusted basis in July, according to the latest CapEx Finance Index (CFI) from the Equipment Leasing & Finance Association (ELFA). That was a 34.3% increase from June and 24.5% above the previous monthly record.

On a year-over-year, non-seasonally adjusted basis, new business volume rose 47.3%. Year-to-date volume was up 16.8% compared with the same period in 2025.

The numbers provide an unusual view of the AI investment cycle. While technology companies and cloud providers receive most of the attention for their spending on artificial intelligence, equipment financing data captures some of the businesses actually acquiring the physical infrastructure required for digital transformation.

“Equipment demand surged to new heights in July, on the back of AI-related investment,” said Leigh Lytle, president and CEO of ELFA, in the release.

The strength was not confined to one segment of the financing market. Small-ticket transactions reached $6.4 billion, an 84.5% monthly increase and the highest level recorded in the series. Small-ticket volume was also up 25.9% year to date.

The term “small ticket” generally refers to financing for lower-value equipment purchases, making the surge particularly notable. It suggests that the investment cycle is not being driven exclusively by hyperscalers and the largest enterprises making multibillion-dollar infrastructure commitments.

The financing channel itself also shifted during the month.

Bank-originated activity stood at $5.4 billion, down 1.3% from June but still the third-highest monthly figure of 2026. Independent finance companies increased new business volume by 5%, reaching their strongest month since February. Captive finance companies—financing arms associated with equipment manufacturers—recorded a dramatic 94.1% increase.

That divergence matters because the equipment-finance market effectively connects capital providers with businesses making physical technology investments. Banks may provide balance-sheet capacity, independents can offer specialised financing, while captives can help manufacturers make their products easier to acquire.

The result is an important financing layer underneath corporate technology spending.

The data also suggest that credit conditions remain supportive, despite concerns about interest rates and market volatility. The industry’s average loss rate declined 0.08 percentage points to 0.46%, its lowest level in nine months. Bank losses fell to 0.30%, the lowest reading for that segment since January 2023.

Delinquencies moved slightly higher, reaching 1.8% in July from 1.7% in June, but remained toward the lower end of their two-year range.

Credit approvals were less uniformly positive. The industry-wide approval rate declined 2.1 percentage points to 77.4%. ELFA said most of the reduction came from a small portion of respondents, while approval rates across the rest of the panel changed relatively little.

For technology vendors and enterprise finance teams, the combination is significant: demand for capital equipment is accelerating while overall credit performance remains relatively healthy.

The industry’s full-year forecast reinforces that picture. ELFA now expects $137.3 billion in new business volume for 2026, which would exceed the previous annual record from 2024 by 14%.

That forecast also changes the interpretation of AI spending. Artificial intelligence is increasingly becoming a capital expenditure category rather than simply a software subscription.

Companies building AI capabilities may need accelerated servers, storage, networking systems, specialised processors, cooling infrastructure and other equipment. Manufacturing businesses adopting AI may require robotics and automation systems. Data-center operators face even larger infrastructure requirements.

Many of these assets can be financed rather than purchased outright, allowing businesses to preserve cash while spreading the cost over the useful life of equipment.

That makes equipment financing relevant to the broader enterprise AI adoption story.

The trend also illustrates why NVIDIA, Microsoft, Amazon and Google are only part of the AI infrastructure economy. Their investments create demand for computing capacity, but a much wider ecosystem of hardware vendors, data-center operators, manufacturers, finance companies and enterprise buyers sits underneath the technology stack.

For CFOs, the financing environment may therefore become an increasingly important consideration when planning AI-related capital expenditure.

Higher interest rates remain a risk. ELFA’s latest assessment suggests the pressure in the second half of the year may come less from weakening demand and more from the cost of obtaining capital. If long-term yields remain elevated or monetary policy becomes less accommodative, financing costs could rise even as companies continue to want new equipment.

That creates a tension for businesses: AI investment may be strategically necessary, but the economics of financing the underlying infrastructure can change quickly.

Industry confidence reflects some of that uncertainty. ELFA’s Monthly Confidence Index slipped from 63.7 in July to 62.4 in August. Yet every respondent expected capital-expenditure demand either to remain at current levels or improve.

Deborah Baker, HP’s vice president and head of global payment solutions and ELFA board chair, pointed to geopolitical uncertainty, elevated costs and interest-rate volatility as factors affecting the timing and structure of investment rather than eliminating the need to invest.

The takeaway is increasingly clear. AI is creating a capital-spending cycle that extends into the physical economy, and equipment-finance providers are becoming part of the infrastructure supporting it.

Whether July’s record proves sustainable will depend on interest rates, corporate technology budgets and the pace at which AI moves from experimentation into production. But for now, the financing data provide another indication that AI investment is becoming a significant driver of enterprise capital expenditure.

Market Landscape

The equipment-finance market sits at the intersection of corporate capital expenditure, banking and technology investment. Its latest performance suggests that AI infrastructure is helping extend the technology spending cycle into physical assets.

ELFA’s $137.3 billion full-year 2026 forecast would represent a 14% increase over the industry’s previous annual record, indicating that the current strength is not being treated solely as a one-month anomaly.

The competitive financing ecosystem includes banks, independent equipment-finance companies and manufacturer-owned captive lenders. Each plays a different role in helping businesses acquire technology without paying the full capital cost upfront.

For enterprise buyers, the key variables will be financing rates, asset useful life, residual value, tax treatment, liquidity requirements and the expected return from the technology being financed.

The biggest risk is the cost of funds. If long-term yields remain elevated, higher financing costs could eventually constrain smaller businesses and less certain AI projects even if underlying demand remains strong.

Top Insights

• Equipment-finance volume hit $14.3 billion in July, a record driven partly by AI investment and signaling stronger capital demand across technology and industrial businesses.
• Small-ticket financing reached $6.4 billion, its highest monthly level, suggesting AI-related capital spending is spreading beyond hyperscalers into broader enterprise technology adoption.
• ELFA forecasts $137.3 billion for 2026, potentially establishing a new annual record as companies continue investing in equipment needed for digital transformation.
• Credit conditions remain relatively healthy, with the industry’s average loss rate falling to 0.46% despite a modest increase in delinquencies.
• Financing costs represent the bigger near-term risk, as elevated long-term yields could make AI infrastructure and other capital investments more expensive for enterprises.

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