Key Takeaways
- • Blackstone has introduced an AI chief investment officer that reviews nearly every proposed investment alongside human deal teams, producing a separate assessment without any voting power, according to Bloomberg as cited by PYMNTS.
- • The AI system is trained on more than 14 years of Blackstone's internal investment memos and committee debates, and nearly every deal under consideration now comes with two memos: one from the deal team and one from the AI.
- • The AI cannot approve or reject investments; final authority remains with President Jon Gray and the firm's senior partners at the weekly Monday investment committee meeting.
- • Blackstone's approach mirrors broader enterprise practice, with 80% to 85% of executives expecting AI to augment rather than replace human decision-making, per a PYMNTS Intelligence survey of 60 senior technology executives.
Summary
Blackstone, the world's largest alternative asset manager, has introduced an artificial intelligence chief investment officer that reviews nearly every proposed investment alongside its human deal teams. According to Bloomberg, which PYMNTS cited, the system uses more than 14 years of Blackstone's internal investment memos and committee debates to produce a separate assessment of potential transactions. The AI takes part in the investment review but has no vote, and it cannot approve or reject investments. That authority remains with the firm's executives.
The AI's assessment feeds into the weekly Monday meeting led by President Jon Gray and the firm's senior partners, where potential transactions are evaluated. Nearly every investment under consideration now comes with two memos, one prepared by the deal team and another generated by the AI chief investment officer. According to Gray, who told Semafor in August, the firm fosters a skeptical culture in which doubters can question a deal even when the deal team has a strong track record, and he spends weekends reading deal memos before the meetings.
The AI builds on tools Blackstone already uses. Chief Technology Officer John Stecher said in a May interview published by Blackstone that reviewing thousands of deal documents "used to be a weekend-long activity" and now takes minutes. Private equity and real estate teams use tools that convert raw deal documents into financial models, and AI screens incoming deal flow so the firm can reject opportunities faster. Rodney Zemmel, global head of portfolio operations, told Bloomberg he spends nearly 60% of his time on AI. His teams include a data science group focused on investment intelligence and an applied AI team that works with portfolio companies.
The applied AI effort runs partly through Ode with Anthropic, an AI services firm formed by Blackstone, Anthropic and Hellman & Friedman and announced in May. Blackstone planned to bring Ode to 25 of its more than 270 portfolio companies, with Ode engineers already working at six of them, PYMNTS reported in August.
The no-vote structure aligns with broader enterprise expectations. PYMNTS Intelligence's May report, "Financial Services Pulls Ahead in the Enterprise AI Race," surveyed 60 senior technology executives at U.S. enterprises with at least $1 billion in annual revenue in March. It found that 80% to 85% expect AI to augment human decision-making over the next five years rather than replace it, and none expect full autonomy. Financial services and insurance firms have reached high adoption, defined as at least half of firms using AI for a task, in 27 of the 75 tasks tracked, with revenue recognition at 65% and credit risk assessment at 60%.
The AI's assessment feeds into the weekly Monday meeting led by President Jon Gray and the firm's senior partners, where potential transactions are evaluated. Nearly every investment under consideration now comes with two memos, one prepared by the deal team and another generated by the AI chief investment officer. According to Gray, who told Semafor in August, the firm fosters a skeptical culture in which doubters can question a deal even when the deal team has a strong track record, and he spends weekends reading deal memos before the meetings.
The AI builds on tools Blackstone already uses. Chief Technology Officer John Stecher said in a May interview published by Blackstone that reviewing thousands of deal documents "used to be a weekend-long activity" and now takes minutes. Private equity and real estate teams use tools that convert raw deal documents into financial models, and AI screens incoming deal flow so the firm can reject opportunities faster. Rodney Zemmel, global head of portfolio operations, told Bloomberg he spends nearly 60% of his time on AI. His teams include a data science group focused on investment intelligence and an applied AI team that works with portfolio companies.
The applied AI effort runs partly through Ode with Anthropic, an AI services firm formed by Blackstone, Anthropic and Hellman & Friedman and announced in May. Blackstone planned to bring Ode to 25 of its more than 270 portfolio companies, with Ode engineers already working at six of them, PYMNTS reported in August.
The no-vote structure aligns with broader enterprise expectations. PYMNTS Intelligence's May report, "Financial Services Pulls Ahead in the Enterprise AI Race," surveyed 60 senior technology executives at U.S. enterprises with at least $1 billion in annual revenue in March. It found that 80% to 85% expect AI to augment human decision-making over the next five years rather than replace it, and none expect full autonomy. Financial services and insurance firms have reached high adoption, defined as at least half of firms using AI for a task, in 27 of the 75 tasks tracked, with revenue recognition at 65% and credit risk assessment at 60%.
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