Artificial Intelligence and the Transformation of the Global Economic and Business Order, 2035

Accelerated AI Adoption will Propel Annual Global GDP by over $22 Trillion by 2035


RELEASE DATE
07-Oct-2026
REGION
Global
DELIVERABLE TYPE
Market Research

RESEARCH CODE
PLSQ-01-00-00-00
SKU
CI_2026_34955
Yes
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Artificial Intelligence and the Transformation of the Global Economic and Business Order, 2035
Published on: 07-Oct-2026 | SKU: CI_2026_34955

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Artificial intelligence (AI) is emerging as a foundational driver of global economic growth, with private AI investment shifting from experimentation to industrial-scale deployment. Beyond R&D, investment is increasingly directed toward expanding data center capacity, strengthening semiconductor supply chains, and securing reliable energy infrastructure.

Under the baseline scenario, global private AI investment is projected to grow from $345 billion in 2025 to $4.4 trillion cumulative by 2035, while an accelerated AI investment cycle could propel investment to $6.7 trillion. This would increase global labor productivity and expand world nominal GDP by $89.4 trillion between 2025 and 2035 under the accelerated scenario, positioning AI among the most significant sources of long-term growth.

Using a scenario-based analytical framework, this Frost & Sullivan thought leadership study evaluates how alternative AI investment pathways could reshape labor productivity, GDP growth, industrial transformation, and global AI leadership through 2035. It examines AI-driven transformation across retail, advanced manufacturing, and healthcare; assesses the competitive landscape of leading AI economies (the US, China, and the EU) alongside emerging AI leaders (India and the GCC); and explores how government policy, workforce readiness, digital infrastructure, and enterprise investment could shape AI commercialization.

Key Themes:
•     Economic Transformation Through AI
•     AI Megatrends Reshaping Firm-Level Strategies
•     Industry Transformation in the AI Era
•     AI Policies and Business Implications
•     Key Growth Opportunities

Scope of Analysis

Definition of AI

Why is it Increasingly Difficult to Grow?

The Strategic Imperative 8™

The Impact of the Top 3 Strategic Imperatives on Global AI Adoption

Key Economic Metrics

Growth Drivers and Restraints

Historic and Current AI Investment Landscape

Economic Impact of AI—Framework

Economic Impact of AI—Methodology

X-Variable Analysis—AI Investment Scenario Assumptions

X-Variable Analysis—AI Investment Outlook by Scenario

X-Variable Analysis—Labor Force Outlook by Scenario

X-Variable Analysis—Workforce Training Outlook by Scenario

X-Variable Analysis—Scientific and Technical Journal Articles Outlook by Scenario

X-Variable Analysis—Raw Material Price Outlook by Scenario

X-Variable Analysis—Logistics Performance Outlook by Scenario

Multivariate Regression Output

Y-Variable Analysis—Labor Productivity Outlook by Scenario

GDP Outlook by Scenario

AI Megatrends—Investment Supercycle and AI-Centered Economic Growth

AI Industrial Policy Approaches for Emerging AI Superpowers- India and the GCC

AI Impact Assessment Framework

Retail and Consumer Commerce: Productivity and Efficiency

Retail and Consumer Commerce: AI Implementation Dynamic

Retail and Consumer Commerce: Labor Market

Healthcare: Productivity and Efficiency

Healthcare: AI Implementation Dynamics

Healthcare: Labor Market

Advanced Manufacturing: Productivity and Efficiency

Advanced Manufacturing: AI Implementation Dynamics

Advanced Manufacturing: Labor Market

AI Industrial Policy Approaches for Current AI Superpowers: the US, China, the EU

AI Industrial Policy Approaches for Emerging AI Superpowers- India and the GCC

AI-Led Macro Impacts, Policy Transformations, and Opportunities

Growth Opportunity 1: AI Workforce Upskilling

Growth Opportunity 2: AI-Powered Supply Chain Intelligence

Growth Opportunity 3: AI Governance, Risk, and Compliance

Benefits and Impacts of Growth Opportunities

Next Steps

List of Exhibits

Legal Disclaimer


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Artificial intelligence (AI) is emerging as a foundational driver of global economic growth, with private AI investment shifting from experimentation to industrial-scale deployment. Beyond R&D, investment is increasingly directed toward expanding data center capacity, strengthening semiconductor supply chains, and securing reliable energy infrastructure.

Under the baseline scenario, global private AI investment is projected to grow from $345 billion in 2025 to $4.4 trillion cumulative by 2035, while an accelerated AI investment cycle could propel investment to $6.7 trillion. This would increase global labor productivity and expand world nominal GDP by $89.4 trillion between 2025 and 2035 under the accelerated scenario, positioning AI among the most significant sources of long-term growth.

Using a scenario-based analytical framework, this Frost & Sullivan thought leadership study evaluates how alternative AI investment pathways could reshape labor productivity, GDP growth, industrial transformation, and global AI leadership through 2035. It examines AI-driven transformation across retail, advanced manufacturing, and healthcare; assesses the competitive landscape of leading AI economies (the US, China, and the EU) alongside emerging AI leaders (India and the GCC); and explores how government policy, workforce readiness, digital infrastructure, and enterprise investment could shape AI commercialization.

Key Themes: • Economic Transformation Through AI • AI Megatrends Reshaping Firm-Level Strategies • Industry Transformation in the AI Era • AI Policies and Business Implications • Key Growth Opportunities
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Deliverable Type Market Research
No Index No
Is Prebook No
Podcast No
Predecessor PFNJ-01-00-00-00
WIP Number PLSQ-01-00-00-00

Artificial Intelligence and the Transformation of the Global Economic and Business Order, 2035

$2,450.00
Out of stock
SKU
CI_2026_34955