Davos 2026: Why scaling AI still feels hard – and what to do about it
Davos 2026: Why scaling AI still feels hard – and what to do about it
https://www.weforum.org/stories/2026/01/why-scaling-ai-feels-hard-and-what-to-do-about-it/
Publish Date: 2026-01-23 11:16:00
Source Domain: www.weforum.org
- Many companies still face challenges scaling AI projects despite heavy investment ($1.5 trillion in AI last year).
- Leaders at Davos 2026 emphasized the need to redesign work processes to effectively integrate and scale AI.
- Successful AI scaling requires strategic thought into practice and usage across the organization.
- Examples of AI use include automating workflows, improving coding processes, and optimizing scientific research.
- Safe AI scaling involves governmental regulation focused on bias prevention, data protection, and transparency.
- Building trust in AI means maintaining human oversight while leveraging AI’s strengths for execution and optimization.
- The ultimate goal is to inspire and involve people in the AI transformation while preserving a human-centric approach.
