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Home » The reasons behind the failure of 95% of AI initiatives and the need for a unique approach in finance.
AI in Finance

The reasons behind the failure of 95% of AI initiatives and the need for a unique approach in finance.

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The Future of Private Credit: Driven by AI Innovations

Yesterday at the Private Debt Investor Conference in Hudson Yards, I had the privilege of sharing the stage with Mark Solovy from Monroe Capital, addressing an audience of over 400 private credit and LP investors. Our discussion, titled “The Future of Private Credit – Propelled by AI.”, captured the palpable energy in the room. Investors were not debating if AI would change private markets, but rather how quickly and who would lead the transformation.

The Growing Consensus on AI’s Role in Finance

This enthusiasm stands in stark contrast to headlines suggesting that the AI hype has peaked. For instance, a recent MIT study titled GenAI Divide found that a staggering 95% of corporate AI initiatives yield no measurable impact on profit and loss. Even industry innovators like Sam Altman have acknowledged that “we are currently in a phase where overall investor expectations regarding AI are inflated.”

The Nuanced Reality of AI Adoption

Despite the skepticism, the reality surrounding AI is more complex. A competing study by Stanford indicates that early-career analysts who engage with AI methodologies substantially increase their productivity. The conclusion is clear: AI is not failing; instead, it is reshaping how value is created in financial markets.

Why Finance Demands a Different Approach

The urgency for change is particularly pronounced in finance, where private market teams have long been bogged down by manual processes. With workflows heavily reliant on Excel models, email communication, fragmented PDFs, and protracted due diligence periods, AI solutions designed for general use often struggle to meet these specific demands. In finance, context, precision, and auditability are critical; without them, AI can be more harmful than helpful.

The F2 Solution: A Tailored AI Framework

Over the past two years, our team has learned valuable lessons from working with over 270 private credit firms and banks. Recognizing the limitations of generic AI, we launched the F2 platform, specifically designed for private markets. F2 integrates:

  • Document Intelligence: Streamlining fragmented data processing.
  • Customized Memo Generation: Adapting to individual company standards.
  • F2 Agents: Navigating complex financial landscapes.
  • Collaboration Tools: Designed for transaction teams.
  • Enterprise-Grade Security: Safeguarding sensitive business data.

All outputs from F2 are audit-ready, linked to sources, and customizable, setting a new standard for AI integration in finance.

Investing in the Future: F2’s Recent Funding Round

F2 recently announced a successful fundraising round of $10 million backed by 50 enduring investors. This reflects deep confidence in our vision for AI in the private market sector. Already, our platform is trusted by numerous leading teams across private credit, venture capital, and commercial banking, proving its effectiveness in real-world scenarios across thousands of data rooms.

Transforming the Landscape of Private Markets

The proactive discussions at yesterday’s conference highlighted an urgent need for innovation within the industry. Questions from LPs and GPs focused not on whether AI would be beneficial, but on the speed of its implementation and the competitive edge it could offer.

A New Paradigm in Private Credit

The MIT study may accurately highlight that many corporate AI applications fail, but the few that succeed—like F2—are tailored, semi-autonomous systems closely integrated into crucial workflows. For private market investors, adopting such innovations is not merely a way to enhance efficiency; it represents a paradigm shift.

As junior teams transition into roles that utilize AI technologies effectively, they will discover new advantages. The early adopters will experience faster diligence processes and more strategic insights, attracting additional LP investments. Those who lag behind risk becoming obsolete.

The landscape of private markets is on the cusp of immense change. The established practices that have guided the industry for the last three decades will soon become outdated. With AI-centric processes in place, capital movement will become more efficient, fostering a new wave of economic growth.

This transformative future is what we are building with F2.

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November 16, 2025

AI companies acknowledge their concerns about a potential bubble.

November 16, 2025

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November 15, 2025
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