At the World Economic Forum in Davos 2026, global tech leaders shared insights on the evolving role of artificial intelligence and its implications for society and the economy. One recurring theme was that AI must be developed not just for efficiency and innovation, but also with an emphasis on usefulness and safety. Leaders underscored that the future of work, public trust, and social impact hinge on designing AI systems that are not only powerful but also responsible and aligned with human values.
Speakers highlighted the need to rethink how work is structured in an AI era. As machines take over more routine tasks, humans will increasingly focus on roles that require creativity, emotional intelligence, and complex judgment. Several leaders emphasized that workplace transformation should be guided by policies that support re-skilling, lifelong learning, and equitable access to new opportunities, ensuring that workers are empowered rather than displaced by technological change.
Safety and ethical considerations also featured prominently in discussions. Tech executives argued that AI deployment must balance innovation with robust safeguards to prevent misuse, bias, and unintended consequences. This includes investing in tools and frameworks that promote transparency, accountability, and fairness, so that AI systems can be trusted by users and regulators alike. The message was clear: AI that doesn’t account for safety and ethics risks undermining public confidence and hindering long-term adoption.
Finally, leaders at Davos pointed to the importance of international cooperation and inclusive governance in shaping AI’s trajectory. They called for cross-border dialogue on standards, regulations, and best practices to ensure that AI benefits are shared broadly rather than concentrated among a few powerful actors. By working together, policymakers, industry, and civil society can help steer AI toward outcomes that enhance human well-being, strengthen economies, and address global challenges.