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Insights and Expertise

One of the most impactful applications is AI-powered
Resilient finance and the credit assessment. Traditional credit scoring relies heav-
ISO–merchant relationship ily on historical data and standardized metrics. AI mod-
els can incorporate broader behavioral signals, cash flow
For ISOs and merchant-level salespeople, resilient patterns and contextual data to assess repayment capacity
finance isn't an abstract concept. It shows up in dai- more dynamically.
ly conversations with merchants navigating tighter
credit, higher costs and shifting consumer behav- This shift could expand access to credit for individuals
ior. As traditional lending grows more selective, al- and businesses with limited or damaged credit histories
ternative finance tools such as embedded lending, but strong real-world financial behavior. At the same time,
flexible settlement options and digital wallets are improved risk assessment can reduce default rates, lower-
becoming critical parts of the value proposition. ing overall lending costs.

Understanding how money continues to move Beyond credit decisions, AI is being applied to fraud de-
during uncertainty helps sales teams position so- tection, transaction monitoring, pricing optimization and
lutions not just as payment acceptance tools, but customer support. As these systems mature, alternative
as operational lifelines. In 2026, those who can lenders may gain efficiency advantages that allow them to
explain resilience—speed, redundancy and adapt- scale more rapidly than traditional institutions.
ability—will be better equipped to win trust and
retain merchants in volatile conditions. Tokenized assets and the push for efficiency

Regulatory pressures, particularly in regions like the Eu-
ropean Union, are also shaping the future of alternative fi-
must settle predictably. Users must have confidence that nance. Compliance costs and operational complexity have
assets will not disappear due to technical failures. Volatil- prompted some companies to explore tokenized assets as
ity remains a challenge for some cryptocurrencies, though a way to streamline payments and cross-border activity.
major networks have resolved many early operational is-
sues. Large players are already experimenting in this space.
Alternative finance expands in era of tight credit Klarna, for example, announced plans to launch a dol-
lar-backed stablecoin aimed at simplifying international
As economic uncertainty persists, traditional banks tend payments. PayPal introduced its own stablecoin as well.
to become more conservative. Credit standards tighten. These initiatives seek to reduce settlement times, improve
Lending becomes more selective. This creates space for al- transparency and lower transaction costs compared to tra-
ternative finance models to grow. ditional banking rails.

Crowdfunding platforms, invoice trading, peer-to-peer Stablecoins occupy a hybrid space between crypto and
lending and nonbank lenders have expanded steadily over traditional finance. While regulatory scrutiny is increas-
the past decade. In times of volatility, their relevance in- ing, they often face fewer constraints than conventional
creases. When businesses or individuals struggle to access banking products. If early implementations prove reliable,
bank financing, they often turn to alternative options that more companies may adopt similar models through late
prioritize speed, flexibility or different risk assessments. 2026 and beyond.

Market forecasts suggest the alternative finance sector That said, tokenization remains in its early stages. Wide-
will continue to grow significantly through 2026. Analysts spread adoption is unlikely to happen overnight. Initial
have estimated the market would reach $9.8 billion this use cases will probably focus on efficiency gains rather
year, though many projections were made before recent than radical restructuring of financial systems.
technological acceleration. Given ongoing advancements,
actual growth may exceed earlier expectations. Embedded lending moves
further into the background
What distinguishes this expansion from previous cycles is For consumers, the most visible evolution in alternative fi-
not entirely new technology, but deeper integration of ex-
isting tools, particularly artificial intelligence, embedded nance will likely come through embedded lending. What
once required a visit to a bank branch, or at least a stand-
finance and digital assets.
alone application, now happens seamlessly at the point of
AI becomes core infrastructure, not a feature purchase.
Artificial intelligence is poised to play a central role in al- Buy now, pay later (BNPL) models have become standard
ternative finance development through 2026. Rather than features in online checkout flows. By 2026, embedded
serving as a novelty, AI is becoming embedded in core lending is expected to expand beyond retail into services,
decision-making processes. subscriptions and business procurement. AI-driven risk

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