Work: The Bigger Picture

Designing AI to Support Meaning in Work

To ensure AI systems contribute to, rather than detract from, meaningful work, designers must prioritise values of purpose, growth, and autonomy in AI interactions:

Enhancing Autonomy: AI should be designed to give users control over how they engage with it. For instance, AI-driven productivity tools could allow employees to set preferences, personalise recommendations, or selectively choose when they receive guidance, giving them a sense of control over the AI’s involvement in their work.

Supporting Mastery and Growth: AI systems can be designed to encourage skill development by assisting rather than replacing complex tasks. For example, rather than automating a task entirely, an AI could guide employees step-by-step, gradually decreasing support as they become more skilled, thereby fostering growth and mastery.

Enabling Purposeful Contribution: AI can be designed to highlight how individual tasks contribute to a broader mission. For instance, AI tools could provide feedback on how an employee’s work impacts team goals or customer satisfaction, reinforcing the sense of purpose in their role. This can help individuals see their work as part of a larger, meaningful context, enhancing their connection to the organization’s goals.