AI adoption could boost global GDP by an additional 15 percentage points by 2035, as global economy is reshaped

  • Press Release
  • May 05, 2025

AI’s potential to boost global growth hinges not just on its capabilities, but on the ability to deploy it responsibly and earn society’s trust. However, physical climate risks could leave the global economy nearly 7% smaller in 2035 than it would have been otherwise.

New cross-industry ways of working will allow companies to seize growth opportunities.

To support clients in this new environment, PwC is unveiling a set of actions to help organisations unlock the value of enterprise AI at scale and act on industry insights; as well as a major refresh of its brand.

Kyiv, May 5 2025 – New global research published today by PwC reveals that AI has the potential to boost global economic output by up to 15 percentage points over the next decade. This would effectively add one percentage point to annual growth rates - on par with the growth increment the world began enjoying with 19th century industrialisation.

PwC’s report, Value in Motion is based on data-driven scenario analysis which reveals that the global growth dividend from AI is not guaranteed and depends on more than just technical success – it also hinges on responsible deployment, clear governance and public and organisational trust. In other scenarios analysed by PwC, characterised by lower trust and co-operation, the incremental boost to the economy from AI would be more muted at 8%, or in a pessimistic scenario just 1%.

The research finds that rapid reconfiguration of the economy is already under way. PwC analysis indicates that the pressure for businesses to reinvent themselves is at some of the highest levels seen in the last 25 years across 17 out of 22 global sectors, with US$7.1 trillion in revenues set to shift between companies in 2025 alone, even prior to the recent global increase in tariffs.

PwC’s research suggests that over the next decade, industries will reconfigure to meet human needs in new ways, leading to the formation of new ‘domains’ that cross traditional sector lines. For example, the rise of electric vehicles is bringing electricity providers, battery manufacturers, tech firms and others into the mobility domain, enabling them to create value alongside automobile manufacturers.

"Expertise combined with modern technology has become a necessity in today's business landscape. For companies to become more efficient and to secure a leading edge in the future, they must move beyond traditional industry silos. This new reality is a complete game-changer, demanding greater synergy and agility. In Ukraine, we feel this acutely, as our current environment necessitates both immediate, effective solutions and strategic foresight."

Ago Vilu, Managing Partner of PwC Ukraine, commented.

Climate impact

PwC’s analysis shows that while AI is set to accelerate growth, the costs of physical climate threats will impose economic constraints. PwC’s economic modelling suggests that physical climate risks could leave the global economy nearly 7% smaller in 2035 than it would have been otherwise.

Increased AI adoption is expected to lead to increased energy use by data centres. However, modest use of AI to drive energy efficiency could offset this increased use of energy. PwC estimates that the energy use and emissions impact of AI would be neutral if each additional percentage point of AI use led to innovations which cut energy intensity by just 0.1%.

PwC continues to evolve to help clients unlock and protect value

As technology and other megatrends continue to transform the economy, PwC is unveiling a set of actions it is taking to help clients unlock the value of enterprise AI at scale, including:

PwC’s agent OS: PwC’s agent OS enables a structural shift in how enterprises can orchestrate AI at scale, seamlessly connecting and scaling intelligent agents into business-ready workflows up to 10x faster than traditional methods. As well as offering this to clients, the network is also leveraging it within its own processes, with hundreds of AI agents deployed for specific tasks integrated into workflows to deliver productivity gains across tax, assurance and advisory services to clients. 

AI expertise: Each month, tens of thousands of PwC people are taking part in regularly updated training programmes through the Network AI Academy. Already, 291,000 PwC partners and staff globally have taken part in structured AI training. PwC Central and Eastern Europe is actively contributing to this global AI expertise. In March 2025 alone, more than 8,000 of PwC CEE’s 13,500 employees have been trained and are subsequently using GenAI tools, generating close to 650,000 prompts. This high level of engagement underscores the successful adoption and integration of AI technologies in PwC CEE’s daily operations.

Technology alliances: To help bring the benefits of AI adoption to our clients, PwC has unveiled several new collaborations with existing technology alliance partners. In Central and Eastern Europe, PwC partners with leading technology providers, including SAP, Microsoft, Salesforce, Oracle, Google, AWS, Adobe, Workday, Workiva, Appian and Guidewire. With over 3,500 technology specialists, PwC CEE offers unbiased technology advice, solutions and managed services tailored to each client's needs. This approach allows PwC to provide the most suitable advanced technologies for clients while continuing to expand its technology partnerships.

The PwC network is also extending its ability to rapidly translate industry specific insights into real business model impact for clients, including through a new release of its CIO 100 Award winning GenAI tool, ChatPwC, which now includes a broader range of proprietary data, methodologies and research to give every client team access to the best of PwC’s insight.

Value in Motion and other proprietary research is translated into reality by Industry Edge - PwC's portfolio that underpins deep industry insights with supporting business models, processes, technology & data models, and AI accelerators to deliver industry specific transformation.

A new intelligent learning platform has been rolled out across the network. It combines a skills framework, AI powered learning recommendations and a conversational coaching experience into a single, unified and personalised learning experience.

PwC has also updated its brand, visual and verbal identity to better reflect the role it plays for clients: bringing expertise and technology to help them build, sustain and accelerate momentum. Changes to PwC’s visual identity include new imagery and an updated logo with a new ‘momentum mark’ which signifies how PwC comes together with clients to drive them forward.

"The business environment in which PwC operates is constantly evolving, requiring us to adopt new approaches to solving clients’ challenges. This is particularly true in Ukraine, where businesses must not only compete under normal commercial conditions but also survive and thrive amidst wartime reality. We offer our clients a blend of our deep expertise and modern technologies, providing them with a decisive advantage in both existing and emerging markets."

Olena Volkova, Partner and Clients & Markets Leader at PwC Ukraine, noted.

Value in motion

Notes to Editors

About PwC’s Value in Motion research
PwC’s methodology for assessing the future impacts of AI and climate change is a thorough, multi-step approach combining qualitative scenario development with quantitative modelling and specialist insights. The baseline growth scenario assumes a "business-as-usual" trajectory using Shared Socioeconomic Pathway GDP projections, adjusted to exclude AI impacts for separate analysis. Physical climate risk adjustments are made based on external academic research, estimating GDP reductions due to climate threats. The AI model evaluates different levels of AI adoption and net task change and their economic impacts, while the Climate Transition Risk Model assesses the costs of transitioning to a net-zero economy using an integrated assessment model. The outputs from these models are combined in a master economic model to project global and regional macroeconomic impacts. The Climate-AI Interaction Model independently examines interactions between AI adoption, energy use, and emissions. Sector-domain mapping translates sector outputs into broader economic domains, while the BMR Pressure Index and Value at Stake research efforts assess the pressure on companies to reinvent their business models and quantify potential revenue shifts. The full findings can be accessed on https://www.pwc.com/gx/en/value-in-motion.html.

About PwC
At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com.

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