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My CEO Is an AI Clone, the ECB Runs on ML, and a Cambridge Chip Just Made Data Centers Sweat

Customers Bank's CEO deployed his AI clone on a live earnings call while embedding OpenAI engineers to shrink loan closing from 45 days to 7, the ECB quietly revealed its ML model has shaped monetary policy since 2022, and Cambridge's hafnium oxide neuromorphic chip may cut AI energy bills by 70%.

Hi there,

A bank CEO let his AI clone handle an earnings call, quietly signed a deal to put OpenAI engineers inside his bank, and set a target of cutting commercial loan closing time from 45 days to 7. Meanwhile, the ECB has been running monetary policy through a machine learning model since 2022 — and only just told us. Finance's AI transformation isn't on the roadmap anymore. It's already in the meeting.


🔥 Featured Post

My CEO Is an AI Clone, the ECB Runs on ML, and a Cambridge Chip Just Made Data Centers Sweat

  • Customers Bank CEO Sam Sidhu deployed an AI clone to deliver Q1 earnings prepared remarks — then announced a multi-year OpenAI deal to embed engineers and automate commercial lending end to end
  • The target: shrink commercial loan closing from 30–45 days to 7 days; efficiency ratio from 49% to the low 40s by 2027
  • The ECB disclosed that since late 2022 its QRF machine learning model has been part of the analytical toolkit used to prepare monetary policy decisions — 60+ macro indicators, real-time inflation risk tracking
  • Northern Trust's $1.4T asset management head called AI "one of the biggest positive supply shocks in modern economic history" while Goldman warns AI power demand adds 0.2pp to headline US inflation in 2026
  • Cambridge's hafnium oxide memristor neuromorphic chip stores and processes data simultaneously — like a neuron — and could cut AI energy consumption by up to 70%

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📚 In Case You Missed It

AI Hits the Plumbing: Trade Finance Gets Agentic, Hedge Funds Automate Alpha, and Regulators Finally Update the Rulebook — AI agents are eating trade finance paperwork, 70%+ of hedge funds now automate alpha with ML, and US regulators overhauled their 15-year-old model risk framework — but deliberately left agentic AI out of scope.

Google Takes Aim at Wall Street Data, Oracle Wires Up Agentic Banking, and AI Swallows the Advisor Stack — Google's Deep Research Max integrates with FactSet, S&P, and PitchBook to put autonomous research agents inside Wall Street workflows, Oracle deploys 12 pre-built banking agents for treasury and trade finance, Experian's Transaction Forensics fires 80 AI models at real-time fraud, and a $65M Wealth.com raise signals the wealth-advisor stack is being rebuilt from scratch.

DeepSeek V4 Opens the Frontier, Robinhood Bets on OpenAI, and BofA Gives 18,000 Advisors Their Hours Back — DeepSeek V4 drops 1.6T open-weight parameters at $0.14/M tokens, Robinhood invests $75M in OpenAI while launching its Cortex AI trading agent, and BofA's Meeting Journey saves 18,000 advisors four hours per client meeting — finance's AI unlock moment has arrived.


More posts dropping every day. Stay curious.

— Bhanu @ superml.dev