Key points
- Forrester predicts only 5% of bank AI transformation programs will succeed in 2027.
- One-third of banks will announce AI initiatives, but most will fail to update operating models.
- AI banking technology mergers and acquisitions are expected to rise by 50% next year.
SiliconANGLE reported that Forrester Research predicts a sharp shift from digital banking to intelligent finance in 2027, driven by AI agents and new operating models.reported The research firm’s “Predictions 2027: Banking and Investing” report argues that intelligence will become the primary source of value creation for financial services firms.reportedForrester says most banks will fail to scale AI because they keep using old systems.Forrester attributes the 5% success rate to the retention of legacy operating models rather than lack of AI proof points.
Evidence: reported
Research prediction: Shift from digital banking to AI-driven finance will transform financial services in 2027aifleet-siliconangle
Evidence: reported
Research prediction: Shift from digital banking to AI-driven finance will transform financial services in 2027aifleet-siliconangle
What was released or claimed
Forrester researchers stated that AI assistants are reshaping how customers discover and act on financial products. The report claims that while investment participation is expanding, banks are struggling to determine if AI will merely enhance operations or fundamentally transform them.
Who it affects
The findings are based on data from 915 respondents in the U.S., U.K., and Canada.reported The report specifically addresses financial firms, banks, and technology providers such as Dell Technologies and Advanced Micro Devices.
Evidence: reported
Research prediction: Shift from digital banking to AI-driven finance will transform financial services in 2027aifleet-siliconangle
What is still unknown
The report does not specify which banks will succeed or fail. It is unclear how many firms will successfully navigate hybrid computing environments or acquire the necessary proprietary data assets to scale their AI deployments.
The practical upshot
Forrester predicts that AI banking technology M&A will increase by 50% in 2027.reported This suggests that firms will attempt to buy governance capabilities and AI-native orchestration rather than building them internally from scratch.
Evidence: reported
Research prediction: Shift from digital banking to AI-driven finance will transform financial services in 2027aifleet-siliconangle
What the rules require
Forrester states that retaining legacy processes and operating models prevents the ability to scale AI deployment. The report notes that many banks will rebrand existing AI initiatives as AI-native without significant changes in operational infrastructure. This lack of infrastructure change is cited as the reason only 5% of announced programs will succeed.
Why it matters
- The 5% success rate highlights the risk of rebranding initiatives without updating operational infrastructure.
- The predicted 50% rise in M&A signals a market shift toward acquiring AI governance and data assets.
- Legacy operating models are identified as a barrier to scaling AI deployment.
- Vendors like Dell and AMD emphasize hybrid computing navigation as a key requirement for financial clients.
Topics: banking, AI transformation, Forrester, M&A, financial services
Updated
Then / now / next
Financial services relied on digital banking channels for customer acquisition and advice.
AI agents and intelligent finance models are reshaping how firms operate and provide value.
Banks will pursue M&A to acquire AI-native orchestration and governance capabilities in 2027.
Story timeline
- Then Financial services relied on digital banking channels for customer acquisition and advice.
- 04 Nov 2026 Research prediction: Shift from digital banking to AI-driven finance will transform financial services in 2027
- Now AI agents and intelligent finance models are reshaping how firms operate and provide value.
- Next Banks will pursue M&A to acquire AI-native orchestration and governance capabilities in 2027.
The strongest doubt
Counterpoint from the sources
David Kennedy of Dell Technologies noted that while AI works well for speed and efficiency, the critical question remains whether firms can achieve those results at scale.
For readers
Business
- Expect 50% growth in AI banking M&A as firms seek governance and data assets.
- Only 5% of AI transformation programs will succeed due to legacy infrastructure issues.
Researchers
- Forrester based predictions on data from 915 respondents in three countries.
- The report highlights a shift from digital banking to intelligent finance in 2027.
Developers
- Focus on hybrid computing environments to support AI scaling efforts.
- Avoid superficial rebranding; update operational models to support AI-native workflows.
Numbers in context
Circle area is proportional to the magnitude; labels retain signs. Figures may describe different measures. Read their contexts above.Ask the article
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Your choice stays on this device. No public tally.Terms in this story
AI-native orchestration
Systems designed from the ground up to manage and coordinate AI agents and workflows.
Legacy processes
Outdated operational methods and infrastructure that hinder the scaling of new AI technologies.
Intelligent finance
A financial model where AI agents drive value creation and customer interaction.
Questions readers ask
Why does Forrester predict such a low success rate for bank AI projects?
The firm believes many banks will rebrand existing initiatives as AI-native without changing operational infrastructure or legacy processes.
How many respondents were included in the Forrester research?
The findings were summarized from data involving 915 respondents in the U.S., U.K., and Canada.
What is the predicted growth in AI banking technology M&A?
Forrester predicts that AI banking technology mergers and acquisitions will increase by 50% in 2027.
Connected stories
Reading receipt
- Forrester predicts only 5% of bank AI transformation programs will succeed in 2027.
- One-third of banks will announce AI initiatives, but most will fail to update operating models.
- AI banking technology mergers and acquisitions are expected to rise by 50% next year.
Still open: Which specific legacy processes are most detrimental to AI scaling?
Still open: How will the 50% increase in M&A impact market consolidation?