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Managing AI Agents as Employees: Insights from Goldman Sachs CIO on Future Challenges in 2025

AI Workforce, artificial intelligence, Corporate Dynamics, generative AI, HR Management, Human-Machine Collaboration

In 2025, artificial intelligence is expected to evolve into corporate “workers” that manage tasks traditionally handled by human employees. According to Goldman Sachs CIO Marco Argenti, businesses will start integrating AI into their teams, leading to a blend of human and machine resources. HR departments may also need to oversee these AI agents, which could potentially replace older programs. Argenti likens advanced AI models to PhD graduates, equipped with specialized knowledge. As technology progresses, responsible AI practices will become vital, with only a select few institutions maintaining the largest generative AI models due to high costs. This shift highlights the growing importance of AI in the workplace and its potential to redefine corporate dynamics.



This year, a major trend in artificial intelligence revolves around its evolution into corporate “workers.” According to a recent blog post by Goldman Sachs, led by CIO Marco Argenti, AI is set to mature, allowing it to manage corporate processes similarly to human employees.

Human and Machine Resources

Argenti notes that AI’s ability to plan and execute complex tasks will lead to a future where businesses will “employ” and train AI workers as part of hybrid teams working alongside humans. This transformation will require corporate HR offices to oversee both human and machine resources. Interestingly, there may even be instances of AI “layoffs” as companies upgrade their AI programs to more advanced versions.

In a keynote at CES, Nvidia CEO Jensen Huang echoed these predictions, indicating that AI agents will act as a digital workforce, collaborating with human employees. He emphasized that the IT departments will transition into the HR departments for AI agents, leading to a new corporate structure where AI is integral to operations.

AI Models Like PhD Graduates

Argenti also suggests that future AI models will resemble PhD graduates, with specialized knowledge in areas such as finance and medicine. These advanced AI systems will emerge through techniques like retrieval-augmented generation and fine-tuning, enabling them to provide industry-specific insights.

He anticipates that responsible AI will become a crucial topic for boardrooms by 2025. However, Argenti warns that only a few institutions will possess the resources necessary to develop the largest generative AI models, often likened to “Formula One” engines in the industry. Meanwhile, smaller companies will focus on creating less complex models.

In summary, 2025 may usher in a new era of human-AI collaboration, with AI playing an essential role in corporate environments. This shift promises to redefine not only how businesses operate but also how they manage their resources.

Tags: Artificial Intelligence, Hybrid Teams, Corporate AI, Goldman Sachs, Digital Workforce, AI Management

What does Goldman Sachs CIO mean by AI agents as employees?
Goldman Sachs’ CIO is saying that by 2025, companies will have to treat AI systems, or agents, like employees. This means managing their work, performance, and how they fit into a team.

Why is managing AI agents a challenge?
Managing AI agents is tricky because they can learn and change how they work quickly. Just like human employees, they need guidance, training, and sometimes rules about what they can and can’t do.

What are some ways companies can prepare for this challenge?
Companies can start by investing in training programs for their staff on AI. They also need to develop clear policies for how AI agents should be used in the workplace and what roles they will play.

Will AI agents replace human jobs?
AI agents might take over some tasks that humans do. However, they can also create new jobs that focus on managing AI, analyzing data, and improving teamwork between humans and machines.

How can employees feel secure about AI in the workplace?
Employees can feel more secure by being involved in the process of AI integration. Training and open communication about AI roles can help everyone understand how these agents will work alongside them.

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