When AI takes initiative: What agentic systems mean for shared mobility
- 12 minutes ago
- 1 min read
As AI moves beyond chatbots towards autonomous systems capable of reasoning, it may mark a turning point for shared mobility. Rory Mitchell of Zag Daily speaks with AI firm Anadue about the implications for operations, costs and decision-making across the sector of Agentic AI.
Generative AI responds to prompts. A chatbot like ChatGPT predicts what to say based on the question and the context it has learned. Agentic AI, by contrast, can reason and take initiative – it doesn’t wait to be told what to do.
In shared micromobility, this shift could move operations away from reactive, labour-intensive management and towards autonomous, data-driven decision-making.
Operational costs in shared micromobility are high, largely due to rebalancing, recharging and repairing vehicles. Agentic AI can manage the people performing these tasks. Humans can set high-level objectives, like ‘if this station has less than 30 vehicles, trigger rebalancing’ and the AI converts that into tasks, sending staff to vehicles and assigning jobs to meet the objective.
The above is an excerpt taken from an interview with Rory Mitchell.
