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Articles / ai-in-trading / The Practical AI Opportunity: Why SMBs Want Guidance Before Automation

The Practical AI Opportunity: Why SMBs Want Guidance Before Automation

AI Feature Adoption
75%
Percentage of SMBs willing to use at least one AI feature from their financial institutions within the next two years.
Credit Unions Viewing AI as a Growth Strategy
49%
Percentage of credit unions that view AI and conversational assistants as a member-acquisition strategy.
SMBs Interested in Expense Tracking
31%
Percentage of SMBs interested in AI-powered expense tracking tools.

§ 01 Executive Snapshot

  • What: Demand for AI among SMBs is accelerating, with credit unions needing to align their deployment priorities with member expectations.
  • Who: Small to mid-sized businesses (SMBs), credit unions (CUs), PYMNTS Intelligence, Velera.
  • Why it matters: The gap between SMB demand for AI and CU deployment priorities poses risks for member retention and growth opportunities.

§ 02 Key Developments

  • 75% of SMBs say they would use at least one AI feature from their financial institutions (FIs) within the next two years.
  • 49% of credit unions view AI and conversational assistants as a member-acquisition strategy.
  • 31% of SMBs are interested in AI-powered expense tracking, while 22% want help with budgeting and cash flow management.

§ 03 Strategic Context

  • Many credit unions acknowledge the strategic importance of AI but have not yet prioritized its deployment, creating a significant execution gap.
  • The rapid increase in member expectations for AI capabilities reflects broader trends in technology adoption across various industries.

§ 04 Strategic Implications

  • Immediate: Credit unions need to focus on deploying practical AI solutions to prevent member attrition and meet growing demands.
  • Long-term: Institutions that effectively integrate AI into their digital strategies will likely enhance member relationships and drive growth.

§ 05 Risks & Constraints

  • Potential risk of falling behind on AI deployment, leading to loss of business members due to digital friction.
  • Competition from other financial institutions that may adopt AI technologies more rapidly and effectively.

§ 06 Watchlist / Forward Signals

  • Expected increase in chatbot deployment at CUs, projected to rise from 3% in 2019 to 46% in 2026.
  • Continued evolution of member expectations regarding AI-enabled financial experiences will signal the success or failure of CU initiatives.
§ 07

Frequently Asked Questions

What is driving the demand for AI among SMBs?

The demand for AI among SMBs is accelerating as they seek to align their needs with the capabilities offered by financial institutions.

Why do credit unions need to prioritize AI deployment?

Credit unions need to prioritize AI deployment to prevent member attrition and meet the growing demands of their members.

How are SMBs interested in using AI features?

75% of SMBs say they would use at least one AI feature from their financial institutions within the next two years, with interests in expense tracking and budgeting.

§ 08

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