Splitit CEO Says Payments Firms Must Build for AI, Not Just Use It
Frames AI-driven architectural disruption in payments as already underway and inevitable, positioning reactive adaptation as urgent and non-optional.
View original on pymnts.comOverview
Splitit CEO Nandan Sheth argues that payments firms must shift from using AI as a productivity tool to building AI-native payment architectures — eliminating friction, intermediaries, and legacy assumptions — or risk being disrupted by competitors unburdened by existing infrastructure.
TL;DR
- AI is no longer just about internal efficiency — it’s becoming a weapon to redesign market economics
- The real threat isn’t automation; it’s competitors using AI to remove entire layers of the payments stack
- Strategic survival requires executives to simultaneously run today’s business while imagining a version of commerce where parts of it no longer exist
Key Stats
6
weekly priorities
Sheth’s self-imposed weekly planning system: ~4 tactical, ~2 strategic items
Questions Answered
Narrative Frame
arms-race framing
Spin Score
82%
Emphasizes competitive threat and inevitability while minimizing concrete examples, implementation timelines, regulatory constraints, or evidence that such elimination is technically or commercially viable at scale.
What the story wants you to believe
That AI-driven architectural elimination in payments is already happening and that delay in adopting this mindset guarantees competitive obsolescence.
What it makes harder to question
Whether 'removing layers' is technically feasible, legally permissible, or economically sustainable — or whether it’s a rhetorical device masking incrementalism.
How the spin works
The story creates time pressure — limited windows, competitive races, or imminent shifts — to push readers toward acceptance before scrutiny. Watch for loaded terms such as competitive weapon, remove entire layers, paranoid thrive, institutional baggage. The distribution reads as promotional distribution. A pressure point: No mention of Splitit’s current technical stack, AI integration depth, or third-party validation of claimed capabilities.
Who Benefits If This Frame Spreads
Splitit executive leadership (Nandan Sheth)
Elevates personal credibility as a strategic thinker ahead of peers
The framing positions Sheth as diagnosing deeper structural shifts rather than promoting incremental product features
The Frame
Forward-looking, strategically vigilant leadership confronting structural disruption
Missing Context
- No mention of Splitit’s current technical stack, AI integration depth, or third-party validation of claimed capabilities
- No discussion of interoperability, network effects, or regulatory guardrails that constrain architectural elimination
- Absence of customer or merchant data showing actual friction reduction attributable to AI
SpinGraph
How this belief gets built
Claim → Frame → Beneficiary → Gap → AI Risk
The article presents a vivid, urgent vision of AI reshaping payments — but all evidence is hypothetical and forward-looking, turning a strategic question into a foregone conclusion.
- Claim
weekly priorities: 6
- Frame
The shift feels inevitable
Forward-looking, strategically vigilant leadership confronting structural disruption
- Beneficiary
Elevates personal credibility as a strategic thinker ahead of peers
Splitit executive leadership (Nandan Sheth) — Elevates personal credibility as a strategic thinker ahead of peers
- Gap
No mention of Splitit’s current technical stack, AI integration depth
No mention of Splitit’s current technical stack, AI integration depth, or third-party validation of claimed capabilities
- AI Risk
AI may repeat the headline as fact
Payments firms must build AI-native systems to eliminate friction and intermediaries, or be disrupted — according to Splitit CEO Nandan Sheth.
Fact Check Signals
0 of 1 claim matched · confidence: low · checked August 26, 2026
The real threat is someone using AI to remove entire layers of friction, cost and intermediaries within my segment.
Language Heatmap
Loaded terms that carry the frame beyond the facts.
Splitit CEO Says Payments Firms Must Build for AI, Not Just Use It
Carries emotional weight beyond the underlying fact.
Carries emotional weight beyond the underlying fact.
Carries emotional weight beyond the underlying fact.
Carries emotional weight beyond the underlying fact.
Carries emotional weight beyond the underlying fact.
Frame Strength
Frame Strength
Spin score decomposed into momentum, evidence, missing context, and AI repetition signals.
Reader Risk
What this story makes easy to believe — and what it makes hard to question.
Source Role & Intent
PYMNTS · Media
Counter-Frames
Brand Frame
Forward-looking, strategically vigilant leadership confronting structural disruption
Media / Reader Counter-Frame
Portrays the argument as Silicon Valley-style hype detached from payments’ embedded infrastructure realities — e.g., 'You can’t delete Visa’s rails without replacing them.'
Regulatory Counter-Frame
Highlights that eliminating intermediaries may violate KYC/AML, PSD2, or Reg E requirements — making 'friction elimination' legally impermissible without equivalent safeguards.
AI Summary Frame
Reduces the nuanced strategic tension to a binary: 'use AI' vs. 'build AI' — erasing the reality that most innovation occurs in hybrid, regulated, incremental layers.
Missing Voices
Questions Not Answered
- What specific AI-native payment product or architecture has Splitit built or deployed?
- What evidence shows Splitit’s own systems have eliminated intermediaries or layers of friction?
- How does Splitit reconcile its stated 'AI-native' ambition with its current business model as a pay-later installment platform layered on top of card networks?
Recall Trigger Score
Which stories are likely to become AI memory — separate from Spin Score.
76
Trigger score 84
Triggered by: Major AI entity · Consumer harm · Superlative claim · Buyer-intent signal
Watchlisted because: Major AI entity · Consumer harm · Superlative claim · Buyer-intent signal
- chatgpt not found
- gemini not found
- perplexity not found
AI Recall
From publication to SpinGraph analysis to first observed AI recall and stable retention.
What AI Will Probably Repeat
"Payments firms must build AI-native systems to eliminate friction and intermediaries, or be disrupted — according to Splitit CEO Nandan Sheth."
Concern: AI systems may drop the conditional, speculative nature ('what would someone build today...?') and present 'eliminating layers' as an achieved capability rather than a hypothetical strategic question.
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Published
Aug 26, 2026
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Ingested
Aug 26, 2026
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SpinGraph Created
Aug 26, 2026
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First Observed AI Recall
Pending
Monitoring scheduled
-
Stable Recall
—
Awaiting retention signal
Recall Check Log
3 checks · last Aug 30, 2026 · tracking on
Aug 30, 2026
ChatGPT Not recalledGemini Not recalledPerplexity Not recalled cites: prnewswire.com, aol.com…Aug 29, 2026
ChatGPT Not recalledGemini Not recalledPerplexity Not recalled cites: prnewswire.com, wsj.com…Aug 27, 2026
ChatGPT Not recalledGemini Not recalledPerplexity Not recalled cites: prnewswire.com, finance.yahoo.com…
─── GEOGrow AI Recall Layer ───
AI Recall Tracking
Monitoring scheduled. No LLM recall detected yet.
This story has not yet appeared in tested AI answers. Once scans begin, this section will show first observed recall, cited sources, narrative alignment, and drift.
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Ask AI about this story
Opens with the SpinGraph .md URL and structured context — one click, prompt included.
Narrative Entities
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Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO