Jack Henry & Associates (JKHY) Morgan Stanley Technology, Media & Telecom Conference 2026 summary
Event summary combining transcript, slides, and related documents.
Morgan Stanley Technology, Media & Telecom Conference 2026 summary
4 Mar, 2026Business overview and market positioning
Celebrating 50 years, the company serves over 1,700 banks and credit unions, focusing on core processing, payments, and complementary services.
Core processing covers back-office operations, payments segment includes card and enterprise payment services, and complementary products support fraud prevention, lending, and digital offerings.
The company targets regional and super-regional institutions, intentionally avoiding the largest tier one banks.
Average contract length is about seven years, with around 200 banks or credit unions in play annually, and a consistent win rate of 50-55 core deals per year.
Pipeline has shifted toward larger accounts, with average institution size growing from $700 million to $1.5 billion.
Industry trends and competitive dynamics
Industry consolidation is ongoing, with a major competitor sunsetting platforms, creating a multi-year opportunity to win incremental business.
Of 1,400-1,500 banks affected by competitor consolidation, many are expected to enter RFP processes over the next three to five years.
Implementation cycles are lengthy due to client readiness, not technical limitations, with revenue from new wins expected to start in FY 2028.
Complementary product attach rates are high, with new core customers typically purchasing 30-50 additional services, often on coterminous contracts.
Demand drivers include deposit gathering, lending, efficiency, and fraud prevention, with lending expected to accelerate if interest rates fall.
Technology and AI strategy
AI is viewed as an opportunity for efficiency and innovation, not a disruptor, with over 100 approved AI tools in use internally.
AI has enabled headcount growth to remain below 1% over five years and increased developer productivity by up to 70%.
AI use cases include streamlining client training, rewriting procedures, and enhancing operational efficiency for banks.
Mission-critical, highly regulated systems are seen as resistant to displacement by generic AI solutions due to operational and regulatory requirements.
AI and cloud-based innovation are expected to drive faster product updates and improved customer personalization.
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