"80% of the work we do today can be automated in the next thousand days"

Artificial intelligence is gaining an increasingly prominent role in the business world. One particularly promising development is Agentic AI, where AI expert Remy Gieling sees tremendous potential.

Agentic AI represents a form of AI system that can autonomously make decisions and execute actions to achieve specific goals. This technology goes a step beyond the language models that have dominated headlines in recent years. "Generative AI is the foundation, the brain," Gieling explains. "That brain can think about things and interpret information, but it can't actually take concrete actions based on that information." Agentic AI can make that leap. "It's the next step in automation."

Doing more with fewer people

Gieling predicts that Agentic AI will drive massive transformation over the next thousand days. "We finally have technology that can reason at a human cognitive level and has access to digital systems. Knowledge workers primarily gather information, communicate about it, reason through it, and then make adjustments in systems like their inbox or database. The systems we now have can do that work."

This means companies will be able to accomplish more with fewer employees. "Take customer service as an example: you'll still need human employees in the future, but 95% fewer than you have now." This could enable better international competition. "China has 1.4 billion people who can all solve problems. The Netherlands has about 18 million. If you want to remain internationally competitive, you need to leverage this technology."

Preparing for change

Businesses must prepare for this changing landscape, according to Gieling. "How will you integrate this technology into your organization? What does this mean for your team, and what skills will be needed going forward?" Companies also need to carefully examine potential business cases. "How will we differentiate ourselves when everyone starts automating everything? How will we use this technology not just to optimize processes, but also to develop new business models? These are the critical questions businesses need to address."