The Rise of AI-Powered Teams

By Nicolas Martin, Senior Full Stack Data Scientist, Fractal-Apps CEO & Founder, 08/10/2024.

For several years now, we've started seeing new teams with high efficiency in their daily tasks.

These are not underground organizations, nor a new structure invented by a government, but rather a reality present in all countries.

These new teams are much more effective than traditional teams, and for good reason: each member is fully invested and responsible for their activities.

How is this possible? It's simple: these teams are empowered with AI and use it collectively. Each team member has a complete and accurate knowledge of their business, increasingly powered by Artificial Intelligence.

Which raises the important question of whether this is a temporary event that will disappear in a few years or a new paradigm that will gradually be present in all companies.


The Problem with Traditional Companies

Most companies criticize their employees for a lack of engagement that negatively impacts their results. This lack of investment consistently stems from:

1. Poor management.

2. Removal of responsibility.

3. Unrealistic vision.

These factors prevent employees from maximizing their potential.

A 2023 McKinsey report found that companies with highly engaged employees are 21% more profitable than those with low engagement. 

A 2023 Goldman Sachs report estimates a 25% job loss in Europe because of AI, and this was before the announcement of the increase of robotics in the coming years that will impact business but also increase the overall productivity.

Of course, this is not the case for all companies. Many companies will continue flourishing, and many entrepreneurs will lose their business, with or without AI.


The AI Advantage

However, these problems don't exist for AI-empowered companies:

- No poor management: Teams that learn management best practices with AI cannot be bad. They understand that their true bosses are the clients or users of their projects. There's no harsher boss than the market itself: Either you understand their needs and do everything to meet them correctly, or you don't, and the market completely ignores you. 

- Full responsibility: Thanks to a better market understanding with AI, they must achieve results and generate income. While it may seem harsh, a business without money is destined to disappear. (This doesn't apply to NGOs or non-profit organizations, which have different objectives.)

- Realistic vision: AI-empowered teams must thoroughly understand their clients or users, competitors, rules, and laws to succeed. This requires absolute pragmatism where even political opinions are set aside (though understood for better market service).

The AI Catalyst

This is where AI enters forcefully, as each employee can now boost formerly tedious tasks:

Those are just a few examples, and there are many more possible tasks if you search them in a tool aggregator like Theres An AI For That.

Most people already use AI in their daily tasks, but it is even more applicable to entrepreneurs for whom activity efficiency is a main concern.

In addition, the learning curve is shorter, thanks to ChatBots. They provide a dynamic way to learn any subject with a clear learning path, which makes entrepreneurs even more skilled in many fields. Skill mastery is still necessary to validate the results of AI. That's why we need an efficient exchange process between the user and AI to create a reliable and concrete value for the business.

In the years 2000s, the traditional teams had a main skill per person. In the near future, AI will benefit small teams to master different skills and produce much more with better quality. Image by author. 

The Power of Team Networks

Companies have found in AI a new force, amplified by interactions within their teams. With nearly 18,000 AI services available to facilitate many processes at lower costs,  employees can test different services and gain expertise they can exchange with others.

The diversity and richness of AI services mean each person learns different tools, making knowledge sharing mutually beneficial. When employees have different specialties, these exchanges become even more valuable as they complement each other, increasing the success rate of team projects.

Each person commits 100% to their domain, understands the needs of other team members and clients, and can even take risks for the project's benefit without prior approval from others.

In this video, the successful entrepreneur and Youtuber Dan Koe calls it being “high agency”: