JPMorgan invests over $2 billion annually. Morgan Stanley predicts 200,000 banking jobs could disappear by 2030. Yet MIT research suggests most organizations still struggle to generate measurable value from AI.
So what is really happening?
In this episode of the WRAP UP podcast, I sit down with Charbel Safadi, CEO of Zafin, to discuss the future of AI in banking, why most AI initiatives fail, and how banks can move beyond experimentation into production.
We cover:
• Whether AI is hype or a genuine transformation
• Why banks are struggling to achieve ROI from AI
• The prediction that 200,000 banking jobs could disappear
• How AI changes jobs rather than simply replacing them
• Zafin’s new AI Operating System (AIOS)
• Why banks need an “airport” for AI agents, not just more AI tools
• AI governance, compliance, and accountability in regulated industries
• How banks should think about OpenAI, Anthropic, Gemini, and open-source models
• The future of autonomous AI agents inside financial institutions
• Why proof of work may become critical for enterprise AI adoption
One of the most interesting takeaways was Charbel’s argument that AI is not primarily a technology challenge. It is an operating model challenge. Organizations that redesign how work gets done will benefit. Those that simply add AI tools to existing processes may struggle to see meaningful results.
What do you think?
Will AI create more opportunities in banking, or are the predictions about job losses correct?
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