The Global Industries Benchmark

The defining question is direct: which industries are building the Next Economy fastest today?

The Global Industries Velocity reading is VERY HIGH AND ACCELERATING, with a GVI Global Industries Composite Score of 84.7. The benchmark is being driven by the convergence of five forces — Artificial Intelligence × Accelerated Computing × Infrastructure × Energy × Sovereign Capital. The decisive development is not simply that AI is advancing. It is that AI is reorganizing capital allocation across almost every major global industry.

1. 01 Artificial Intelligence & Accelerated Computing 96.2▲ 0.5 · Strong
2. 02 Semiconductors & Advanced Chips 94.8▲ 0.4 · Strong
3. 03 Cloud, Data Centers & AI Infrastructure 93.6▲ 0.6 · Accelerating
4. 04 Energy, Power Grids & Storage 89.7▲ 0.5 · Accelerating
5. 05 Aerospace, Defense & Space Systems 88.9▲ 0.4 · Strong
6. 06 Advanced Manufacturing & Robotics 86.5▲ 0.3 · Improving
7. 07 Healthcare, Biotechnology & Life Sciences 84.9▲ 0.4 · Improving
8. 08 Telecommunications & Digital Infrastructure 82.8▲ 0.2 · ▲
9. 09 Critical Minerals, Materials & Mining 81.7▲ 0.3 · Strategic
10. 10 Mobility, Transportation & Logistics 80.9▲ 0.1 · Stable
11. 11 Financial Services, Capital Markets & Fintech 79.6▲ 0.2 · Selective
12. 12 Construction & Critical Infrastructure 78.4▲ 0.2 · Improving
13. 13 Consumer Platforms & E-commerce 75.8▼ 0.1 · Mature
14. 14 Media, Entertainment & Digital Content 73.7▼ 0.2 · Fragmenting
15. 15 Agriculture, Food Systems & AgriTech 72.9▲ 0.1 · Stable

The five strongest industries — Artificial Intelligence & Accelerated Computing (96.2), Semiconductors & Advanced Chips (94.8), Cloud, Data Centers & AI Infrastructure (93.6), Energy, Power Grids & Storage (89.7) and Aerospace, Defense & Space Systems (88.9) — together form the core architecture of the Next Economy. Intelligence requires chips. Chips require data centers. Data centers require energy. Energy and technology require security. This is not a collection of separate investment themes. It is an increasingly integrated industrial system.

1. 01 AI is becoming a capital-intensive industrial system

   Artificial Intelligence retains the number-one position, but the nature of the industry is changing. AI is no longer driven primarily by software development and model releases. It is increasingly shaped by physical infrastructure, power availability, specialized chips, networking and capital formation. The largest hyperscalers are moving toward an investment model in which AI capital expenditure may exceed internally generated free cash flow. Reuters estimates that approximately $534 billion of additional capital expenditure could be required for every $340 billion of operating cash-flow growth through 2027. signal: AI remains the highest-velocity sector, but execution, monetization and capital efficiency are becoming as important as technological leadership.

2. 02 Semiconductors are the strategic foundation of the Next Economy

   Semiconductors remain second because virtually every other high-velocity industry depends on them: AI, robotics, autonomous mobility, defense, telecommunications, biotechnology and energy systems. Generative-AI chips could approach $500 billion in revenue during 2026, potentially representing roughly half of worldwide semiconductor sales. Broader semiconductor industry revenues are projected to cross $1 trillion this year. signal: The chip industry is no longer one technology sector among many — it is the productive infrastructure beneath the entire Velocity Economy.

3. 03 Data centers are becoming the factories of intelligence

   Cloud and data-center infrastructure registers today's largest daily increase. The sector is being propelled by the conversion of hyperscalers from asset-light software platforms into owners and operators of industrial-scale computing infrastructure. Nearly 100 gigawatts of new data-center capacity could be added globally between 2026 and 2030, effectively doubling installed capacity. The market is expected to expand at approximately 14% annually, although grid connections and energy availability are becoming the principal constraints. signal: AI demand is migrating upstream — from models to chips, from chips to data centers, and from data centers to power generation and grids.

4. 04 Energy is becoming part of the technology stack

   Energy, grid infrastructure and storage rise to fourth position. The key shift is structural: electricity is no longer merely an operating expense for technology companies. It is becoming a binding determinant of AI capacity, national competitiveness and corporate growth. The concentration of AI infrastructure in North America, Western Europe and Asia-Pacific is creating regional power-system stress, particularly where data-center construction is moving faster than grid reinforcement. signal: In the Next Economy, access to reliable and scalable electricity may determine technological leadership as decisively as access to capital or talent.

5. 05 Defense has entered a long-duration investment cycle

   Aerospace and defense ranks fifth, supported by geopolitical instability, autonomous systems, drones, cyber capabilities, space infrastructure and accelerated sovereign investment. Northrop Grumman's backlog has reached a reported $105 billion, following approximately $20 billion in new quarterly awards, demonstrating the depth of current defense demand. Yet rising program costs and margin pressure show that revenue growth will not automatically translate into proportional value creation. signal: Defense is shifting from episodic procurement toward a sustained industrial-capacity cycle centered on autonomy, artificial intelligence and advanced manufacturing.

6. 06 Biotechnology is moving from recovery to acceleration

   Healthcare and biotechnology rise to seventh position. The sector is benefiting from improving capital-market sentiment, renewed M&A activity, AI-assisted discovery, precision medicine and stronger clinical pipelines. Goldman Sachs reports that biotechnology sentiment and deal activity strengthened materially during the first half of 2026, while industry projections point toward long-term annual growth in the low double digits. signal: Biotechnology could become the next major frontier where accelerated computing produces measurable productivity gains outside traditional technology.

7. 07 Critical minerals have become an economic-security industry

   Critical minerals move into ninth place. Lithium, copper, rare earths, graphite and other strategic inputs now connect the energy transition, defense production, semiconductor manufacturing and battery supply chains. UN Trade and Development projects that lithium demand could rise by approximately 353% between 2024 and 2040, while mining and refining remain highly concentrated geographically. signal: Mineral security is becoming the physical counterpart of semiconductor sovereignty.

Implications

What each reader should carry forward.

• For investors: The opportunity set is broadening beyond software leaders. Value is increasingly migrating toward semiconductors, power equipment, grids, data-center infrastructure, industrial automation, defense technology and strategic materials.
• For corporate leaders: Every company must determine whether it is merely adopting AI or repositioning itself inside the new industrial architecture created by AI.
• For policymakers: National advantage will depend less on isolated technological breakthroughs and more on the ability to orchestrate computing, energy, capital, talent, infrastructure and supply chains at scale.

The first phase of the AI supercycle rewarded the companies that created intelligence. The next phase will increasingly reward the industries that make intelligence physically possible. The winners will not be defined by who develops the best technology alone. They will be defined by who can provide the chips, power, infrastructure, capital and industrial capacity required to deploy that technology at global scale.