Could net-zero AI become a reality?
New analysis suggests that in the decade ahead, AI could boost energy efficiency enough to save as much energy as the technology uses.
Learn moreThe business landscape is changing rapidly. Imagining your company under three profoundly different scenarios will help you locate opportunity.
Artificial intelligence is creating the potential for a productivity revolution that will supercharge growth.
Simultaneously, the increasing frequency of flooding, drought, heat stress, wildfires and other physical climate risks is upending basic expectations for economic growth.
The ways these two forces interact with each other, and with other megatrends, will spur innovation.
But to what degree? Will these megatrends, and our response to them, make our world more prosperous—or less?
Scroll on to explore three potential tomorrows, and what they might mean for you.
Modelling three tomorrows
To answer these questions and help leaders capture some of the value in motion across the decade ahead, PwC has quantified the potential impact of these forces on the global economy of 2035.
To envision 2035 as realistically and usefully as possible, we focused on a trio of plausible global scenarios: three divergent tomorrows.
Each ‘tomorrow’ varies from a baseline scenario, which assumes current trajectories persist. And each tomorrow contains specific assumptions about AI deployment and climate response that inform our economic modelling.
Baseline
The baseline growth figure assumes moderate economic and technological progress, without significant external shocks or policy interventions. It doesn’t account for the potentially transformative benefits of large-scale AI adoption. We can think of this as the business-as-usual scenario; it assumes that historical trends continue.
In this scenario, the integration and responsible use of advanced technologies enables widespread productivity growth and job creation while supporting sustainable solutions and innovation. Frameworks for trust (including global standards and cooperation) are part of this picture. The economic benefits of AI would exceed the stranded asset costs associated with decarbonisation, leading to economic growth rates higher than baseline expectations, even after adjusting for climate-related economic damages.
Headlines from this tomorrow
The dynamics of the three tomorrows will reshape lives around the world.
Regions highly exposed to climate change, such as Africa and the Middle East, could experience larger drags on growth. Areas that rapidly adopt AI, such as the Asia-Pacific region, North America and Western Europe, have the potential for bigger productivity booms (under more favourable scenarios) or busts (if AI disappoints).
In a world of Trust-Based Transformation, real earnings could exceed baseline expectations by 13–15% in Asia-Pacific and Western Europe, compared to 6–10% in Africa and Latin America.
Favourable growth scenarios also could reduce unemployment rates by up to half a percentage point in many countries, while driving meaningful reductions in income inequality.
See how each tomorrow will impact 2035 GDP in your region.
Climate-adjusted baseline
Source: PwC research and analysis
Regional clusters depicted above are based on IIASA research data and ISO mapping and do not represent the structure of the PwC network or where PwC member firms are incorporated and operate.
New analysis suggests that in the decade ahead, AI could boost energy efficiency enough to save as much energy as the technology uses.
Learn moreGet ready for AI, climate change and other megatrends to shift value pools, reconfigure industries and redefine the top management agenda.
Learn moreA decade of value in motion, marked by reconfiguration and innovation, awaits. Seize the moment to extend your lead—or to catch up to rivals.
Learn moreThis flowchart lays out the research methodology for value in motion. Click on any box to learn more about the activities and outputs.
Want a deeper dive into the research? Find a PDF of our full methodology review below.