AI Adoption to Surge, But Data Centres May Not Create Enough Jobs
WEF report reveals 97% of economists expect AI adoption to rise, but warns that data centre investments might not create significant global employment.
The global landscape of technology is on the brink of a massive shift as Artificial Intelligence (AI) adoption is poised to accelerate rapidly over the coming year. According to the World Economic Forum’s (WEF) September 2026 Chief Economists’ Outlook, there is an unprecedented level of agreement among experts regarding the rise of this technology, even as significant concerns emerge regarding the actual employment benefits of the infrastructure supporting it.
Unprecedented Consensus on AI Growth
The survey revealed a staggering level of agreement among global experts. A remarkable 97 per cent of surveyed chief economists believe that AI adoption will increase over the next 12 months. This represents the highest level of consensus recorded on any single issue within the survey. Furthermore, 69 per cent of these economists anticipate that the technology will unlock meaningful productivity gains across the board.
While the digital sector is expected to lead the charge, the benefits of AI are not confined to tech companies alone. The report suggests that within the next three years, the advantages will spread to various traditional industries, including:
- Agriculture
- Energy and materials
- Mining
- Engineering, construction, and utilities
The Data Centre Paradox: Growth vs. Jobs
While the software and intelligence side of AI promises efficiency, the physical side—the massive data centres required to run these systems—presents a different economic picture. The WEF report highlights a growing disconnect between infrastructure investment and employment opportunities.
Although 78 per cent of respondents expect investment in data centres to contribute significantly to global economic growth, a majority are skeptical about the human element. Specifically, 61 per cent of economists do not expect such investments to generate a significant share of global job creation. This suggests that while the "brains" of AI may drive productivity, the "hardware" may not be the massive employment engine many hope for.
Community Pushback and Resource Strain
The rapid expansion of AI infrastructure is also hitting social and environmental roadblocks. The report indicates that the physical footprint of AI is becoming a point of contention for local populations. Key concerns identified by the economists include:
- Community Resistance: 79 per cent of chief economists expect data-centre expansion to face significant pushback from local communities.
- Electricity Costs: 78 per cent expressed concern that data centres could lead to higher electricity prices for other consumers.
- Water Scarcity: 58 per cent pointed to the potential for rising water prices due to the high cooling demands of these facilities.
The Global Tech Race and Energy Shifts
The geopolitical landscape is also shifting as the technological gap between major powers narrows. The report notes that roughly 69 per cent of economists expect Chinese large language models to fully catch up with their United States counterparts within the next year.
To power this massive technological leap, a significant shift in energy investment is expected. As AI demands more power, the focus is turning toward diverse energy sources. The survey highlights the following expectations for global investment over the next 12 months:
- Nuclear Energy: 83 per cent expect investment to increase.
- Renewables: 80 per cent expect investment to increase.
- Fossil Fuels: 70 per cent expect investment to increase.
Ultimately, while AI remains a primary source of optimism for the global economy, the true measure of its success will depend on whether these technological breakthroughs can be translated into broad-based economic prosperity and meaningful employment for the global workforce.