#USA #Atlanta #Artificial Intelligence #Splitit #Pay Later

Majority of U.S. Consumers Open to AI-Assisted Payment Solutions

In an era where technology significantly influences consumer behavior, a new study conducted by PYMNTS Intelligence in collaboration with Splitit sheds light on U.S. consumers' attitudes toward artificial intelligence (AI) in the context of Pay Later solutions. The findings are particularly noteworthy, indicating that 61% of the 2,034 surveyed individuals in the United States would welcome AI recommendations for Pay Later options in various purchasing situations. Notably, this sentiment is even stronger among the younger Gen Z demographic, with a staggering 80% expressing openness to utilizing AI for such guidance.

However, this eagerness comes with a caveat; consumers are adamant that they want to maintain control over their financial decisions. The majority represented in the study prefer a scenario where AI acts as a guide rather than a decision-making entity. A significant 28% of consumers indicated that needing pre-approval before executing a Pay Later transaction would increase their trust in AI recommendations. Just 2% of respondents were comfortable with fully automated processes.

Protecting Credit Scores: A Top Priority

Another critical aspect highlighted in the research is the importance of protecting credit scores when considering Pay Later options. A striking 59% of participants deemed it essential that any AI-selected payment solution safeguards their credit score. This concern surpasses other priorities, such as securing the lowest total costs or the most affordable monthly payments. This shift in consumer expectation underscores a growing awareness of financial well-being and the implications of credit management.

The desire for affordability is evident, as 24% of consumers prioritize finding payment options that incur the lowest costs, while only 18% value rewards from credit card programs. Furthermore, preferences have evidently shifted towards credit card-linked installment payments, which have outperformed traditional Buy Now, Pay Later (BNPL) models by three to one, according to the study. Data shows that 36% of consumers have utilized card-linked installments over the past three months, compared to a mere 12% who opted for standalone BNPL services.

Generational Perspectives on AI's Role

The study also reveals profound generational differences influencing perceptions of AI involvement in purchasing decisions. While Gen Z appears to embrace AI assistance actively, older generations (Boomers and Gen X) generally prefer steering clear of AI recommendations altogether. Roughly 64% of Boomers and about 40% of Gen X respondents were reluctant to allow AI to dictate Pay Later choices in any category, contrasting sharply with the willingness of 20% of Gen Z and 22% of Millennials.

Moreover, it seems that the relevance of understanding one's budgeting and credit monitoring also varies across age groups. Young consumers are more inclined to seek proactive budgeting help from AI tools, while older generations engage less actively and show hesitation towards AI interventions in their financial decisions.

Implications for Brands and Fintech Companies

As merchants and fintech companies strive to adapt to this evolving landscape of consumer behavior, the insights gleaned from this research carry significant weight. Payment flexibility emerges as a crucial factor influencing purchase conversions. As commerce diversifies to amalgamate in-store, mobile, and AI-driven channels, the brands and payment processors who enable consumers to leverage existing credit facilities are best positioned to foster transaction success and maintain vital customer relationships.

For financial institutions, insights from the study underscore the importance of integrating flexible installment products within existing credit card frameworks. By focusing on enhancing engagement through in-house solutions rather than relying on external lending entities, issuers can cultivate consumer loyalty and reinforce card utilization.

As the future unfolds towards a more agentic form of commerce—where AI systems assist in product selections and transactions—the infrastructure supporting these transactions must be aligned with consumer expectations. The ideal scenarios will not impose additional friction through new credit applications or decision-making hurdles. Instead, seamless and transparent payment processes will drive the next wave of innovation.

In summary, as AI integration continues to permeate purchasing behaviors, brands must heed consumer demands for control, transparency, and alignment with their existing financial relationships. The findings presented in this research underline the need for thoughtful approaches to AI in payment systems, focusing on empowering consumers rather than overriding their decision-making autonomy.