---
title: "Millennium is giving all 7,000 employees an AI twin that never sleeps"
description: "The hedge fund already runs 1,600 ‘digital twins’; now everyone from traders to assistants can have one"
author: "Albion Grey"
published: 2026-09-29T09:59:02Z
modified: 2026-09-29T14:36:26Z
url: https://rews.cc/a/millennium-is-giving-all-7-000-employees-an-ai-twin-that-nev-246c39
language: en
tags: ["ai", "hedge-funds", "productivity", "anthropic", "automation", "business"]
publisher: "Rews (https://rews.cc)"
---

# Millennium is giving all 7,000 employees an AI twin that never sleeps

*The hedge fund already runs 1,600 ‘digital twins’; now everyone from traders to assistants can have one*

By Albion Grey · September 29, 2026 · https://rews.cc/a/millennium-is-giving-all-7-000-employees-an-ai-twin-that-nev-246c39

## In brief

- Millennium Management, a $97bn hedge fund, is offering all 7,000-plus employees a personalised AI ‘Digital Twin’
- Twins handle research, meeting prep and inbox work but cannot make decisions; each has its own identity and audit trail
- A pilot of more than 150 twins saw 97% of users interact with theirs daily; new hires now get one automatically
- The firm has built an AI lab and an AI internship track, and is co-building a risk analyst with Anthropic
- Millennium closes on $22bn in new capital commitments on October 1st

Most employees who complain about being expected to be in two places at once must manage with one body. At Millennium Management, they now get a second. Izzy Englander’s $97bn hedge fund is offering every one of its 7,000-plus staff, investment professionals included, a “Digital Twin”: a personalised artificial-intelligence assistant that continuously learns its human’s working style. The firm already had 1,600 such AI co-workers operating invisibly through its ranks; the new offer, announced in a blog post, extends them to everyone.

Employees who opt in correspond with their twin much as they would with a colleague, Diana Meditz, the firm’s AI product manager, said in a question-and-answer session published with the announcement. The twin deals only with its own employee, remembering preferences and shouldering repetitive work: research, meeting preparation, inbox management. Ms Meditz says her own twin reviews overnight AI news and scans her inbox for relevant internal updates every morning before 6am—a diligence few human assistants can match and none should be asked to.

The firm is careful about what twins are not. They are neither clones nor extensions of their humans, and cannot make decisions on anyone’s behalf. Each has its own identity, email address, permissions and audit trail; employees grant access system by system, and “guardrails ensure the twin only interacts with its dedicated employee, and its memory, files and workspace live in its own dedicated environment.” In an industry where a stray data trail can end a career, the audit trail may be the feature that matters most.

The rollout followed the industry’s favourite pattern: find a willing guinea-pig at the top. Vlad Torgovnik, the chief information officer, was the first to adopt a twin, to test the concept. The firm then scaled up to a pilot group of more than 150 twins; in that first cohort, the blog post says, 97% of employees interacted with their twin daily. Every new hire now receives access to one on joining.

Next come AI teammates—agents built for an entire team rather than one person, again with their own identities, operating autonomously within set boundaries. The announcement is well timed: fascination with AI agents has rarely been higher. Since Meta released Muse, its personal AI agent, earlier this month, the app has climbed to the top of Apple’s American App Store.

Hedge funds have chased machine learning for years and lately poured vast sums into AI for their investment teams. Millennium has gone further than most: it launched an AI track for its internship programme this year and built an AI laboratory to develop cutting-edge technology and attract top technical talent, Bloomberg reports. Last month it announced a partnership with Anthropic to co-build an “AI-powered digital risk analyst” to support its risk-management teams, part of a push to “deploy Anthropic’s most advanced models across teams.”

None of this comes cheap, but cheapness is not Millennium’s problem. On October 1st the firm will close on $22bn in new capital commitments—plenty to pay for a workforce of tireless digital colleagues that take no holidays, draw no bonuses and never defect to Citadel. Rivals that spent the past two years asking what AI is for may now find the question has been answered for them: it is for the parts of a financier’s day that were never really finance.