PwC’s Value in Motion study models three trajectories for AI adoption and climate policy in the Middle East, forecasting an 8.3% productivity uplift and a possible GDP of US$4.68 trillion by 2035 under a trust-based transformation. Decarbonisation costs could shave about 5.2% and widen the gap to US$232 billion between best and worst outcomes, underscoring the role of governance, investment and human capital policy.
PwC’s Value in Motion study, issued in July 2025, sketches a future for the Middle East in which AI-driven productivity gains and decisive climate action could lift the region’s GDP to about US$4.68 trillion by 2035 under a “trust-based transformation.” The analysis models three trajectories for AI adoption, climate policy, and reform, and it notes an AI-led uplift of roughly 8.3% to GDP over 2023–2035, but warns that decarbonisation costs could trim growth by around 5.2% through stranded assets. A US$232 billion gap separates the best and worst outcomes, underscoring how much rides on policy design, governance, and investment choices.
The framework frames three futures. In the optimistic, trust-based transformation, the region’s economies collaborate more effectively and weave AI responsibly across sectors while accelerating climate resilience, with GDP reaching about US$4.68 trillion by 2035. In the tense transition, growth stays solid but uneven, with GDP around US$4.61 trillion as progress stalls in parts of the economy. The most constrained path, turbulent times, foresees weaker AI benefits and higher decarbonisation costs, with GDP near US$4.45 trillion. The study stresses that the 8.3% productivity uplift from AI is not automatic; its full realisation depends on how well AI is integrated with climate strategies, energy transition efforts, and broader reforms.
A striking element of the analysis is the interaction between AI potential and climate obligations. While the trust-based route promises substantial gains, decarbonisation costs are projected to subtract about 5.2% from GDP due to stranded assets and the near-term energy transition burden. Yet the report also flags upside from green technologies, renewable-powered data centres, green fuels, and circular-economy approaches, which could offset some of the decarbonisation drag and reinforce long-term productivity.
Governance and policy play pivotal roles in realising the upside. PwC argues that public–private partnerships will be essential to scale energy and digital infrastructure, de-risk major investments and accelerate delivery. Targeted incentives such as tax breaks, grants, and preferential procurement policies are highlighted as levers to stimulate domestic innovation — particularly in AI chips, data centres, and climate-tech manufacturing. Workforce development is listed as a critical enabler, with emphasis on AI education, green skills, and digital literacy to ensure a steady talent pipeline for a rapidly changing economy.
Signals from the region in recent months align with the trust-based transformation path. The UAE’s regional leadership, strong digital infrastructure, and proactive governance are cited as enabling factors that could magnify AI’s impact while stabilising energy costs through an accelerated energy transition. Across the Gulf Cooperation Council, confidence in AI among CEOs appears higher than global averages; PwC’s CEO surveys indicate that many leaders already trust AI to a significant degree. Among those regional organisations that have adopted GenAI, a large majority report gains in time efficiency and profitability, reinforcing expectations that AI will become core to platforms, processes, and product development in the coming years.
The value of regional collaboration is further underscored by policy and investment considerations. The report stresses that governance frameworks must be clear and robust to harness AI safely and ethically, thereby strengthening public trust and reducing risk for investors. Public–private partnerships are repeatedly highlighted as a vehicle to accelerate the energy and digital infrastructure needed to realise the AI productivity gains. And because the Middle East sits at the intersection of abundant energy resources and ambitious decarbonisation goals, the framework notes opportunities to stabilise energy costs and unlock new growth through climate-resilient industries.
Looking ahead to 2035, the indicators of success go beyond headcount or headline GDP. Analysts say the true test will be sustained productivity improvements from AI, measurable progress in climate resilience, diversification of economic activity away from single-commodity dependence, and high levels of trust in institutions and technology. The projection for the optimistic path assumes ongoing collaboration among governments, businesses, and civil society, a climate policy environment that aligns with growth, and sustained investment in human capital and digital infrastructure.
In addition to the regional focus, the analysis places the Middle East in a broader context of technology leadership and energy transition. The value chain implications are significant: continued investment in AI capabilities, data infrastructure, and advanced manufacturing could attract further capital, while climate action and energy resilience may help moderate volatility in energy prices and create new adjacent industries. Taken together, the findings present a nuanced roadmap: AI can unlock substantial productivity gains, but only if governance, energy transition, and people development move in concert.
As policymakers and industry leaders weigh the options, the overarching message is clear. The region’s economic ascent hinges on a trust-based approach to AI adoption, robust climate action, strategic public–private collaboration, and a shared commitment to developing human capital. If these pieces align, PwC’s framework suggests the Middle East could not only reach a higher GDP tally by 2035, but also build a more resilient, diversified economy designed to thrive in an AI-enabled, climate-aware world.
Source: Noah Wire Services
- https://economymiddleeast.com/news/pwc-middle-east-on-track-to-achieve-4-68-trillion-gdp-by-2035/?utm_source=rss&utm_medium=rss&utm_campaign=pwc-middle-east-on-track-to-achieve-4-68-trillion-gdp-by-2035 – Please view link – unable to able to access data
- https://www.pwc.com/m1/en/media-centre/2025/strategic-ai-adoption-climate-resilience-add-232-billion-middle-east-gdp-2035.html – PwC’s July 2025 release presents Value in Motion, a scenario-based study of the Middle East’s economic future to 2035. It maps three trajectories: trust-based transformation, tense transition, and turbulent times, each driven by AI adoption, climate action and reform. In the optimistic path, widescale AI productivity gains, alongside decisive climate policy, could lift GDP to US$4.68 trillion by 2035, with an estimated 8.3% uplift from AI. The model also notes a US$232 billion gap between best and worst outcomes and warns that decarbonisation costs could trim GDP by about 5.2% through stranded assets. The report highlights governance, renewable energy and investments in human capital as enablers.
- https://www.pwc.com/m1/en/media-centre/articles/middle-east-on-track-to-achieve-4-68-trillion-gdp-by-2035.html – PwC’s blog explains that the Middle East could reach a US$4.68 trillion GDP by 2035 under a trust-based transformation, driven by responsible AI adoption and climate action. It outlines three futures—trust-based transformation, tense transition, and turbulent times—distinguishing them by AI uptake, policy risk, and sustainability progress. The optimistic scenario foresees an 8.3% productivity boost from AI offsetting decarbonisation costs and lifting GDP to about US$4.68 trillion by 2035. The tense transition envisions more cautious adoption, slower productivity gains and smaller GDP gains around US$4.61 trillion. Turbulent times depict weaker AI benefits amid higher decarbonisation costs, depressing GDP to roughly US$4.45 trillion. The piece stresses governance, public–private partnerships and workforce development as critical enablers.
- https://www.pwc.com/m1/en/value-in-motion.html – Value in motion presents three divergent futures for the Middle East by 2035: trust-based transformation with GDP of US$4.68 trillion; tense transition at US$4.61 trillion; and turbulent times at US$4.45 trillion. The analysis, based on AI productivity and climate resilience, shows an overall AI uplift of 8.3% over the coming decade, with climate costs creating stranded assets that reduce growth by 5.2%. It notes a US$232 billion gap between best and worst outcomes. The framework highlights new domains of growth and the need for cross-sector collaboration, energy resilience and workforce development to realise sustained productivity gains ahead.
- https://www.pwc.com/m1/en/media-centre/articles/uae-poised-to-lead-middle-easts-232-billion-tech-climate-transformation-says-pwc.html – PwC’s analysis argues that the UAE is well positioned to lead the region’s AI and climate-resilience surge. The Value in Motion model suggests three trajectories for the Middle East’s economy, with the optimised path potentially delivering a US$4.68 trillion GDP by 2035 and a US$232 billion uplift from AI-driven productivity and climate action. The article highlights the UAE’s digital infrastructure, government governance and public–private collaboration as enabling factors, alongside broad regional momentum. It notes that an increased AI footprint could provide significant growth while climate measures help stabilise energy costs and unlock new opportunities.
- https://economymiddleeast.com/news/three-scenarios-for-middle-east-in-2035-show-232-billion-ai-driven-potential-gdp-boost-pwc/ – Economy Middle East reports on PwC’s 2035 outlook, presenting three scenarios: trust-based transformation, tense transition and turbulent times. The research shows the region could reach around US$4.57 trillion under business-as-usual growth, but climate risks reduce this baseline by about 13.9 percentage points to roughly US$4.57 trillion by 2035. In the optimistic case, AI-driven productivity could lift GDP to US$4.68 trillion, while the most pessimistic path could see GDP at about US$4.45 trillion. The work underscores the intertwining of AI, climate action and energy transition and calls for governance reforms, PPPs and investment in human capital to capture the opportunity.
- https://www.arabnews.com/node/2607225/business-economy – Arab News covers PwC’s July 2025 findings that AI-driven productivity and climate action could add about US$232 billion to the Middle East’s GDP by 2035, lifting the total to around US$4.68 trillion in an optimised scenario. The article describes three possible futures—trust-based transformation, tense transition and turbulent times—emphasising that scale and speed of AI adoption, energy transition and governance will determine outcomes. It notes a potential 8.3% GDP uplift from AI, with decarbonisation costs potentially reducing growth by around 5.2% from stranded assets. The piece highlights government–industry collaboration, energy resilience and human-capital development as essential to realising the upside globally.
Noah Fact Check Pro
The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
6
Notes:
🕰️ The narrative was first published by PwC on 7 July 2025 (official PwC press page and Value in Motion hub). ✅ The Economy Middle East item appears to republish PwC material (republished later). ⚠️ This means the content is recycled from a press release rather than newly reported reporting. 📰 Because substantially similar content appeared >7 days earlier (7 July 2025), the piece is not fresh/new; it is a redistribution of PwC’s July study. ‼️ Some later PwC posts/blogs (mid–late July and August) reiterate the same figures and quotes, indicating wide reuse of the original release rather than new independent reporting.
Quotes check
Score:
4
Notes:
✅ Identical or near-identical direct quotes (for example from Stephen Anderson and Dr Yahya Anouti) appear in PwC’s 7 July 2025 press release and the Value in Motion materials. ⚠️ The Economy Middle East text reproduces these quotes; this indicates reuse of PwC’s wording rather than independent quotation. 🕵️ If the piece claims exclusivity for quotes, that would be misleading. 🔍 No evidence found that these specific quotes originated earlier than PwC’s 7 July 2025 release.
Source reliability
Score:
8
Notes:
✅ The originator of the modelling is PwC (PricewaterhouseCoopers), a well-known global professional services firm with an established public presence and recognised methodological resources — this strengthens credibility. ✅ The PwC Value in Motion page and press release are authoritative for PwC’s own claims. ⚠️ Economy Middle East appears to be republishing/ summarising the PwC release (and PwC itself republishes related blog posts). ⚠️ Because the core claims rest on PwC modelling, independent corroboration or third-party peer review is limited in the items found — reliance on a single primary research provider should be noted.
Plausability check
Score:
7
Notes:
✅ The numerical claims (US$4.68tn, 8.3% AI uplift, 5.2% decarbonisation drag, US$232bn gap) match PwC’s published modelling and scenario language. ✅ The interplay of AI productivity gains and climate transition costs is plausible and consistent with mainstream economic scenario work. ⚠️ The projections are model-based assumptions rather than empirical outcomes; they depend strongly on PwC’s scenario choices. 🔎 Coverage is largely PwC-driven (press materials and reposts). If the narrative presented these figures as independently verified outcomes rather than modelled scenarios, that would be misleading. ⚠️ No substantial contradictory reporting from other major economic analysts was found in the immediate searches; independent assessment beyond PwC’s modelling appears limited in the documents discovered.
Overall assessment
Verdict (FAIL, OPEN, PASS): PASS
Confidence (LOW, MEDIUM, HIGH): MEDIUM
Summary:
✅ The narrative accurately reproduces PwC’s July 7, 2025 Value in Motion modelling and figures (US$4.68tn by 2035, 8.3% AI boost, US$232bn gap). 🕰️ However, the piece is effectively a republishing of a PwC press release rather than original reporting — recycled content first published on 7 July 2025 and then redistributed across outlets. ⚠️ Quotes are reused from PwC materials (not independently obtained). ✅ PwC is a reputable originator, which supports the technical credibility of the numbers, but reliance on a single firm’s modelling and widespread republication without independent verification raises caution about novelty and independent corroboration. ‼️ Major risks: recycled press-release content and limited independent corroboration; strengths: originates from PwC (clear provenance) and matches PwC’s publicly available materials. Recommended editorial action: label as a republished PwC study / press release, and, if deeper vetting is needed, seek independent analysis or commentary to corroborate the modelling assumptions.