Bloomberg Tech: Dimon and Storonsky Discuss AI in Banking at Wave by Vento
Bloomberg Tech: Europe has released an episode recorded at the Wave by Vento conference in Turin, focused on AI in the banking sector. Host Tom Mackenzie spoke with four guests: Jamie Dimon (JPMorgan), Nik Storonsky (Revolut), Alexandra Mousavizadeh (Evident) and Luca Ferrari (Bending Spoons). The central question is how banks use AI for speed and efficiency, and what risks appear when algorithms take over increasingly significant decisions. The episode description includes no transcript, so the guests' specific statements have not been disclosed. • 4 guests: the largest US bank, a fintech unicorn, a ratings analyst and a European operator of digital products • Focus: AI in decisions with real consequences for customers • Format: 30 minutes, a monthly show about the European tech ecosystem
AI-processed from Bloomberg Tech; edited by Hamidun News
One 30-minute episode, four guests and one question: what happens to a bank when AI stops doing grunt work and starts influencing decisions? Bloomberg Tech: Europe recorded the episode at the Wave by Vento conference in Turin. Host Tom Mackenzie spoke with JPMorgan chief Jamie Dimon, Revolut founder and CEO Nik Storonsky, Evident head Alexandra Mousavizadeh and Bending Spoons chief Luca Ferrari. The episode was released on 9 October 2026.
A caveat up front: only the episode description has been published, with no transcript. What each guest actually said is not yet known, and it would be wrong to attribute any figures or forecasts to them. Still, the lineup and the stated framing show how the industry currently talks about the topic.
Speed vs. consequences
The episode's framing has two parts. First, banks are applying AI to work faster and cheaper. Second, as the technology takes on more consequential decisions, new vulnerabilities appear. While AI summarizes documents and assists support agents, mistakes are cheap. Once it takes part in credit scoring, anti-fraud, compliance or trading decisions, the cost of an error rises. So does the question of who is accountable for it.
The description does not spell out these vulnerabilities. In the industry, the term usually covers wrong or unexplainable model decisions, data leaks, dependence on a few model and cloud providers, and new forms of fraud that use generative AI.
Why these four guests
The speaker selection covers almost the entire market spectrum:
- JPMorgan (Jamie Dimon). The largest US bank by assets. Its position shows how a traditional financial giant with a heavy regulatory burden approaches AI.
- Revolut (Nik Storonsky). A digital bank built around product and speed. Here AI is built into the app and internal processes without the baggage of legacy systems.
- Evident (Alexandra Mousavizadeh). The company is known for the Evident AI Index, which compares the largest banks on how mature their AI adoption is. Its view is external and comparative.
- Bending Spoons (Luca Ferrari). An Italian company that acquires digital products and rebuilds them with a focus on efficiency. For it, AI is a tool of operational discipline.
Not one model vendor is in this lineup. The conversation is with those who use and assess AI, not those who sell it.
Context: Europe against global competition
Bloomberg Tech: Europe airs once a month and describes itself as a show about the "main names and trends" of the European tech ecosystem amid intensifying global competition. The choice of Turin and the Wave by Vento conference is also telling: the conversation about AI in finance is moving away from the usual venues of London and Frankfurt toward a broader European agenda.
What to do with this
The episode is useful as a checklist of questions worth asking any bank or fintech, including the one whose app you use:
- Which decisions at the company does AI already make or suggest, and which remain with a human?
- Does the bank have a procedure for contesting an automated decision, such as a loan denial or an account freeze?
- How many external model and cloud providers do critical processes depend on?
- How does the team test the system against attacks and abuse, including those using generative AI?
For those building products in the financial sector, the takeaway is practical. The "faster and cheaper" metric is no longer enough. You need decision audits, logging and clear accountability for outcomes. When the full recording or transcript is out, it is worth checking whether the guests named specific scenarios where AI should not make a decision without a human.
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