Futures

Future Economic Scenarios Shaped by AI and Climate Change: Insights from PwC, (from page 20250921d.)

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Summary

The global economy is being reshaped by AI and climate change, which may either boost productivity or hinder growth. A PwC model outlines three future scenarios:

  1. Trust-Based Transformation predicts an 11% economic growth due to responsible AI use and sustainability efforts.
  2. Tense Transition foresees minimal growth (5%) stemming from fragmented technology and climate costs that offset AI gains.
  3. Turbulent Times could result in economic contraction as instability erodes trust in technology, with AI negatively affecting jobs. Geographic disparities may amplify these effects, with regions like Africa suffering more, while the Asia-Pacific, North America, and Western Europe could see benefits from AI adoption. These scenarios help businesses plan for future uncertainties and encourage adaptation in value creation and delivery.

Signals

name description change 10-year driving-force relevancy
AI-Driven Productivity Revolution AI is set to revolutionize productivity, potentially leading to substantial economic growth. Shifting from traditional productivity models to AI-enhanced, high-efficiency systems. In a decade, businesses may operate with vastly improved efficiency and economic output due to AI. The continuous advancement and integration of AI technologies across sectors. 5
Climate Risks Influencing Economic Growth Physical climate risks are lowering long-standing economic growth expectations globally. Transitioning from stable growth expectations to uncertainty due to climate impacts. Expect a more cautious approach to growth as climate risks reshape economic forecasts. Increasing frequency and severity of climate-related events affecting economies. 4
Emergence of Trust in Global Standards Global standards will foster trust and enhance collaboration amid economic changes. Transition from fragmented standards to universally accepted guidelines fostering cooperation. In ten years, companies may thrive under shared global standards, enhancing trust and cooperation. The need for accountability and sustainability in business practices across borders. 4
Fragmentation of Technology Adoption Technology adoption may become fragmented leading to mistrust and slowed productivity gains. Moving from cohesive technology ecosystems to divided, less effective solutions. Ten years from now, regions may face varied technology capabilities impacting competitiveness. National interests may overshadow collaborative technological advancement efforts. 4
Indicators of Business Model Change Sets of indicators are emerging to signal changes in business models across industries. Shifting from reactive business strategies to proactive planning based on predicted changes. In a decade, businesses may be better equipped to adapt rapidly based on predictive indicators. The urge to remain competitive in a rapidly changing market environment driven by megatrends. 3

Concerns

name description
AI Productivity vs Job Displacement The rapid adoption of AI may lead to significant job losses, countering productivity gains and impacting employment rates.
Climate Change Impact on Economic Growth Physical climate risks such as flooding and drought are expected to dampen economic growth expectations significantly.
Geopolitical Instability and Fragmentation Rising nationalistic and regional interests may hinder technological advancements and economic collaboration, worsening growth prospects.
Mistrust in Technology Erosion of trust in technology could slow down AI benefits and hinder innovation, impacting overall economic productivity.
Stranded Asset Costs The potential high costs associated with decarbonisation and stranded assets may outweigh the economic benefits derived from AI advancements.
Regional Growth Disparities Areas vulnerable to climate change may face larger economic slowdowns, increasing disparity between regions in economic resilience.
Long-term Business Planning Uncertainty The evolving business environment driven by AI and climate change necessitates new strategies, but uncertainty complicates long-term planning.

Behaviors

name description
AI-Powered Productivity Acceleration The integration and responsible use of AI enhances productivity and drives economic growth while supporting sustainable practices.
Decarbonization and Economic Growth Balance Companies prioritize cost-effective decarbonization while aiming for economic expansion, leading to innovative approaches to sustainability.
Trust in Technology as a Growth Enabler Establishing global standards to enhance trust among stakeholders is essential for leveraging technology’s full economic potential.
Fragmentation of Technology and Economic Stagnation Increased national interests lead to fragmented technologies, limiting productivity gains and causing economic growth to stall.
Geographic Disparities in AI Adoption Regions that quickly adopt AI technology experience significant productivity benefits or risks, highlighting the importance of regional strategies.
Adaptation to Climate Risks Businesses must navigate physical climate risks while planning for growth, influencing strategic planning and investment decisions.
Proactive Business Model Innovation Companies are encouraged to reimagine their value propositions to adapt to changing economic landscapes shaped by AI and climate change.

Technologies

name description
Artificial Intelligence (AI) AI is poised to revolutionize productivity, creating significant economic growth and opportunities for job creation.
Climate Adaptation Technologies Technologies designed to mitigate and adapt to physical climate risks like flooding and drought, impacting economic stability.
Trust-Based Technology Standards Global standards aimed at fostering trust in the use and implementation of advanced technologies among nations and companies.
Sustainable Energy Transition Technologies Technologies supporting the transition to sustainable energy sources while countering climate change impacts on economies.

Issues

name description
AI-Driven Productivity Revolution The integration and responsible use of AI technologies could lead to significant productivity growth and economic expansion by 2035.
Climate Change Impact on Growth Physical climate risks may undermine long-standing economic growth expectations, particularly in vulnerable regions.
Fragmented Technology Trust A potential fragmentation of technology due to national interests could hinder AI’s productivity potential and economic growth.
Geopolitical Crises and Economic Stability Emerging geopolitical tensions may destabilize trust in technology, affecting economic benefits and growth projections.
Regional Disparities in AI Adoption Variability in AI adoption across regions may lead to uneven economic benefits and increased vulnerabilities in climate-impacted areas.
Long-Term Business Planning Companies need to focus on long-term success strategies amidst trends of volatility and uncertainty influenced by AI and climate change.
Need for Global Standards The establishment of global standards may help build trust among countries and companies in governing technology use responsibly.
Business Model Transformation Indicators Indicators could emerge to signal impending changes in business models across different sectors, requiring adaptive strategies.