Deutsche Bank Report: AI Set to Boost Global GDP by $7 Trillion and Transform Industries
A research report by Deutsche Bank revealed that artificial intelligence (AI) has evolved beyond a mere technological trend to become an economic force reshaping global sectors and markets. The report projects that AI could increase global GDP by approximately 7%, equivalent to $7 trillion, over the next decade, alongside a 15% rise in labor productivity.
The report, based on analyses using the bank’s internal tool built on a Google model, highlighted that technology, software, financial services, customer service, manufacturing, and media sectors are likely to face the most profound disruptions, especially with accelerating automation and changing business models.
According to the study, AI may handle up to 75% of customer service interactions in the coming years. The software industry is expected to undergo transformative changes, with reduced development costs and a reevaluation of the Software-as-a-Service (SaaS) model, as over 85% of developers already use AI-assisted tools.
The report also anticipates that AI will create approximately 170 million new jobs globally while displacing 92 million roles by 2030, resulting in a net increase of 78 million jobs. However, significant labor market disruptions are expected, with automation affecting nearly 30% of current work hours in some economies.
Sectors that rely on human empathy and direct interaction—such as healthcare and education—alongside complex manual trades and creative leadership, are expected to remain more resilient against AI-driven disruption.
Regarding markets, the report noted that the surge in AI-related equities has sparked discussions about potential bubbles, particularly in the United States, whereas other regions, such as Europe and Asia, are pursuing alternative strategies—focusing on industrial infrastructure and growth in technology and semiconductor companies.
Deutsche Bank emphasized that AI is driving a major rebalancing of the global economy, where success will favor organizations able to integrate machine capabilities with human creativity. The report concluded that the long-term opportunities may be far greater than current estimates, despite short-term implementation challenges including data quality, governance, and energy availability.