Artificial Intelligence Executive Briefing (10th Edition): Strategic Intelligence

The Artificial Intelligence Executive Briefing (10th Edition) gives you a concise source of intelligence on the trends shaping AI in 2026. Explore the latest AI industry trends, generative AI, agentic AI, physical AI, investment, infrastructure and business impact with GlobalData’s executive briefing.

Artificial intelligence is moving rapidly from experimentation to strategic business priority. Generative AI, agentic AI and physical AI are creating new opportunities across industries. At the same time, they are introducing new questions around investment, infrastructure, cost, productivity and competitive risk. 

GlobalData’s Artificial Intelligence Executive Briefing (10th Edition) helps you understand the AI developments that could matter most to your organisation. 

The briefing brings together analysis of generative AI, agentic AI, physical AI, AI infrastructure, investment and the emerging token economy. It provides a concise view of where the AI market is heading and what these developments may mean for business strategy. 

Rather than simply tracking the latest AI announcements, you can use this research to assess where opportunities may emerge, where risks could develop and which AI trends deserve attention from your leadership team. 

How Are Generative AI, Agentic AI and Physical AI Changing Business Strategy? 

The AI market is moving beyond standalone generative AI applications. Generative AI is already influencing areas such as content creation, software development, research and knowledge work. However, agentic AI could change how organisations think about automation and productivity by enabling systems to complete increasingly complex tasks. 

That creates an important commercial question: does greater AI productivity always mean lower costs? 

Not necessarily. Token consumption, infrastructure requirements and usage patterns can influence the economics of AI agents. Without appropriate controls, AI usage costs may increase faster than expected. 

Meanwhile, physical AI represents another emerging area. By combining generative AI, agentic AI, robotics and world models, physical AI may enable intelligent systems to interact with their physical environments in real time. 

For businesses, this could create opportunities around labour shortages, workplace safety, automation and operational efficiency. 

The report helps you understand these developments so you can consider which AI capabilities may be relevant to your organisation and where further investigation may be required. 

What Is Driving AI Investment and AI Infrastructure Demand? 

AI adoption depends on more than software. It also requires significant investment in data centers, compute capacity, energy and supporting infrastructure. 

Capital expenditure on AI will hit a record high in 2026. Huge amounts of financing are being allocated to AI investments, exceeding $700 billion. JPMorgan projects that AI-related debt raising will reach $4.1 trillion by 2030. Much of this financing is being driven by the hyperscalers, including Alphabet, Amazon, Meta, and Microsoft, to build out high-capacity compute facilities. 

However, infrastructure expansion may not keep pace with demand. 

Data center projects can face regulatory challenges, equipment shortages and energy constraints. Delays, cancellations or changes to infrastructure plans could therefore affect the speed and economics of AI deployment. 

For technology leaders and strategy teams, these developments provide important context when assessing AI investment, infrastructure requirements and future technology roadmaps.

Scope

This report looks at the latest developments in AI, including an analysis of infrastructure spending, insight into Anthropic and OpenAI’s IPO plans, and the potential impact of data center delays on AI progress. It also includes insight into the token economy and physical AI.

What Does AI Investment Mean for Your Business Strategy? 

AI investment is no longer limited to technology companies. Organisations across financial services, healthcare, manufacturing, retail, professional services and other sectors are assessing how AI could affect their products, operations and competitive position. 

This creates several strategic questions: 

• Where should your organisation prioritise AI investment? 
• Which emerging AI technologies may have the greatest business relevance? 
• How could AI infrastructure constraints affect your plans? 
• What could increasing AI usage mean for technology costs? 
• How are leading technology companies positioning themselves? 
• Where could AI create new competitive opportunities or threats? 

The briefing provides external market intelligence to help you frame these questions. 

It does not attempt to prescribe a single AI strategy. Instead, it gives you evidence and analysis that can support better-informed strategic discussions and investment decisions. 

Who Should Buy This Artificial Intelligence Executive Briefing? 

This report is designed for senior decision-makers who need to understand the strategic implications of AI. 

• Chief Technology Officers and Technology Leaders 
• Chief Digital Officers and Digital Transformation Leaders 
• Chief Strategy Officers and Corporate Strategy Teams 
• CIOs and IT Decision-Makers 
• Product, Innovation and R&D Leaders 
• Investment, Corporate Development and M&A Teams 
• Consultants and Professional Services Firms 
• CEOs and Senior Business Leaders 

How Companies Can Use This AI Industry Analysis 

The value of the briefing extends beyond market awareness. You can apply its insights to practical strategic and commercial questions: 

• Inform AI Strategy and Roadmaps: Technology and digital leaders can use the research to identify major AI themes and assess which developments warrant further investigation. 
• Support AI Investment Decisions: Strategy, technology and finance teams can use insights into AI investment and infrastructure to inform conversations around future technology expenditure. 
• Strengthen Competitive Intelligence: You can monitor developments among major AI companies and assess how changes in the wider AI ecosystem could affect your competitive environment. 
• Identify Innovation Opportunities: Product and innovation teams can explore how emerging technologies such as agentic AI and physical AI may create new products, services or operating models. 
• Assess AI Adoption Risks: You can use the analysis to consider infrastructure constraints, AI economics and other factors that could influence the success or cost of AI adoption. 
• Brief Senior Stakeholders: Consultants, strategy teams and technology leaders can use the briefing to bring executives up to speed on major AI developments and provide a common evidence base for strategic discussions. 

Key Highlights

Capital expenditure on AI will hit a record high in 2026. Huge amounts of financing are being allocated to AI investments, exceeding $700 billion. JPMorgan projects that AI-related debt raising will reach $4.1 trillion by 2030. Much of this financing is being driven by the hyperscalers, including Alphabet, Amazon, Meta, and Microsoft, to build out high-capacity compute facilities.

Anthropic and OpenAI are preparing for IPOs in 2026. However, each faces significant investor scrutiny. For Anthropic, the dilemma is political, following concerns that excessive US government involvement could constrain its profits. For OpenAI, the central question is financial durability. Its history of widening losses has intensified doubts about the profitability of its business model.

Reasons to Buy

AI will threaten every business across every sector in the coming years. The impact will expand across sectors and business functions as generative AI and agentic AI tools become more powerful.

How Can You Benchmark Your AI Strategy Against Global Leaders? 

AI investment and adoption are increasingly shaped by companies with significant technology, infrastructure and financial resources. 

The briefing provides insight into developments involving major AI and technology companies. This gives you external context for assessing your own AI priorities. 

You can use the research to consider: 

• How does AI investment compare with broader market developments? 
• Where are leading technology companies allocating capital? 
• How is AI infrastructure evolving? 
• Which AI capabilities are attracting increasing attention? 
• What opportunities or competitive pressures could emerge? 
• Which developments may warrant further investment or monitoring? 

Benchmarking against global leaders can help you challenge internal assumptions and place your AI strategy within the wider market context. 

It should complement, rather than replace, your organisation’s own data, customer insight and strategic analysis. 

Get the Latest Strategic View of the AI Industry 

AI developments are moving quickly. Therefore, relying on isolated news stories or individual technology announcements may make it harder to understand the wider strategic picture. 

The Artificial Intelligence Executive Briefing (10th Edition) gives you a concise source of intelligence on the trends shaping AI in 2026. 

Use it to understand emerging AI developments, assess potential business implications, benchmark against global leaders and support informed conversations around AI strategy and investment. 

Explore the report today to understand where the AI market is heading and which developments may matter most to your organisation.