Cloud infrastructure providers, AI-focused cloud operators and the cloud-native data, analytics, security and AI software platforms built on them, such as Microsoft, Oracle, CoreWeave, Nebius, Palantir, Snowflake, Cloudflare and Datadog. Alphabet and Meta now sit in interactive-media and Amazon in consumer-discretionary, so AWS and Google Cloud appear here only as industry evidence.
Representative public companies: Microsoft (MSFT), Oracle (ORCL), Palantir Technologies (PLTR), CrowdStrike (CRWD), Snowflake (SNOW), Cloudflare (NET), CoreWeave (CRWV), Nebius Group (NBIS). Named for context only, not as recommendations.
Research current as of October 1, 2026 · Adoption stage: Widespread production
AI is now the main growth driver for the cloud and data platforms in this group, and the clearest evidence is in signed contracts. Microsoft's Azure grew 43% in the quarter ended June 2026 and passed $100 billion in revenue for the fiscal year, with $678 billion in commercial remaining performance obligations and more than 30 million paid Microsoft 365 Copilot seats. Oracle reported on September 10, 2026 that Cloud Infrastructure revenue rose 121% and remaining performance obligations reached $664 billion after it booked more than $30 billion of new AI cloud contracts. CoreWeave's Q2 2026 revenue rose 112% to $2.6 billion, with a backlog of about $104 billion. Software built on top is accelerating too: Palantir's U.S. commercial revenue grew 149% and Snowflake's product revenue 37%. The limit is supply and cash. Oracle says AI demand is growing faster than supply, its free cash flow was negative $5 billion in the quarter, and it sold $20 billion of stock to fund the build-out. Outside this group, AWS grew 37% and Google Cloud 82% in the June 2026 quarter, which confirms the demand is industry-wide.
| Company | What was deployed | Date |
|---|---|---|
| Microsoft | Microsoft 365 Copilot AI assistant sold as a paid add-on across enterprise productivity software Over 30 million paid seats; Azure revenue passed $100 billion for fiscal 2026 |
2026-07-29[1] |
| Oracle (Oracle Cloud Infrastructure) | AI training and inference capacity rented through Oracle Cloud Infrastructure; more than 300,000 GPUs delivered to AI cloud customers since the end of its prior quarter Cloud Infrastructure revenue up 121% to $7.4 billion; more than $30 billion of new AI cloud contracts booked in the quarter; remaining performance obligations of $664 billion |
2026-09-10[2] |
| CoreWeave | GPU cloud capacity for AI model training and inference, sold to AI labs and enterprises Q2 2026 revenue up 112% to $2.6 billion; revenue backlog of about $104 billion at June 30, 2026, not counting more than $25 billion of new commitments added in early Q3; net loss of $626 million |
2026-08-11[3] |
| Palantir Technologies | AI Platform (AIP) and related software sold to U.S. businesses and governments Total revenue up 93% to $1.935 billion; U.S. commercial revenue up 149% to $764 million; record $2.132 billion of U.S. commercial total contract value, up 153% |
2026-08-03[4] |
| Snowflake | AI agent products CoCo and CoWork running on Snowflake's data platform CoCo passed 9,100 accounts, adding more than 2,000 in the quarter; CoWork reached 5,800 accounts; product revenue up 37% to $1.49 billion |
2026-09-02[5] |
| CoreWeave, Microsoft Azure, Oracle Cloud Infrastructure and Nebius (with Google Cloud, outside this group) | NVIDIA Vera Rubin rack-scale AI systems running in production at cloud partners | 2026-08[6] |
Projections grounded in what is happening now, not certainties. Each one names the signal that would confirm it.
Microsoft is now 57% of this row, so the row is mostly one company that rents AI compute and sells AI software to the same customers. Demand is signed, not forecast: Microsoft holds $678B of commercial RPO, Oracle $664B, CoreWeave about $104B.
Azure grew 43% and passed $100B for the year; Oracle Cloud Infrastructure grew 121%. The limits are supply and cash. Oracle says demand grows faster than supply; its free cash flow was negative $5B and it sold $20B of stock. Microsoft stays free-cash-flow positive while capex rose 69%.
The biggest single exposure is OpenAI: in January 2026 Microsoft said around 45% of its then $625B commercial RPO was tied to OpenAI, though June-quarter growth came mostly from other customers. Around a third of the row is security and data software (Palo Alto, CrowdStrike, Palantir, Snowflake), growing fast on AI demand while investors worry that AI-native tools will replace software seats.
A score of 1.00 = no change.
>1.00 means AI (net) boosts this industry's relative value.
<1.00 means AI (net) erodes it.
These are relative scores — how this industry's share of the economy shifts in relation to all 31 industries we track.
| Timeframe | Score | Range | In Plain English |
|---|---|---|---|
| 1 Year | 1.18 | 1.15 – 1.20 | AI tailwind (+18%) |
| 2 Years | 1.28 | 1.23 – 1.32 | AI tailwind (+28%) |
| 3 Years | 1.56 | 1.48 – 1.64 | AI tailwind (+56%) |
| 5 Years | 2.25 | 2.10 – 2.40 | AI tailwind (+125%) |
| 10 Years | 2.73 | 2.53 – 2.93 | AI tailwind (+173%) |
The same engine run under three sets of assumptions. The spread between the rows shows the uncertainty. It is not a forecast of which one happens.
| Scenario | 1 yr | 2 yr | 3 yr | 5 yr | 10 yr | Rank |
|---|---|---|---|---|---|---|
| Boom Faster AI progress, energy breakthroughs | 1.19 | 1.31 | 1.68 | 2.61 | 3.22 | #5 |
| Base Base case AI progress, current trajectory energy | 1.18 | 1.28 | 1.56 | 2.25 | 2.73 | #11 |
| Doom Slower AI progress, constrained energy, market correction | 1.12 | 1.22 | 1.43 | 1.89 | 2.27 | #14 |
Each component is scored from research, weighted differently at each time horizon, and added together:
Then cascaded through 205 cross-industry relationships.
Built from earnings calls, patent filings, regulatory documents, deployment disclosures and peer-reviewed research. 205 mapped cross-industry relationships. Recalibrated continuously since February 2026, with every parameter change logged.
Refreshed with every major development. Real deployment numbers, quarterly earnings data, regulatory shifts (EU AI Act, export controls), and macro conditions like the energy bottleneck. Not a static model — a living one.
This report uses: Base case AI development pace and Current trajectory energy trajectory. Members can adjust both and see how scores change in real time.
When AI changes these industries, it ripples into SOFTWARE - Cloud & AI Platforms.
| Industry | Effect | Strength | Timing |
|---|---|---|---|
|
SEMICONDUCTORS - Chip Design & Fabless
AI growth in SEMICONDUCTORS - Chip Design & Fabless creates demand or opportunities that benefit SOFTWARE - Cloud & AI Platforms
|
Positive | 100% | Near-term |
|
PHARMA - Biotech & AI Drug Discovery
AI growth in PHARMA - Biotech & AI Drug Discovery creates demand or opportunities that benefit SOFTWARE - Cloud & AI Platforms
|
Positive | 90% | Medium-term |
|
SEMICONDUCTORS - Foundry & Equipment
AI growth in SEMICONDUCTORS - Foundry & Equipment creates demand or opportunities that benefit SOFTWARE - Cloud & AI Platforms
|
Positive | 90% | Near-term |
|
Health Care Equipment & Services
AI growth in Health Care Equipment & Services creates demand or opportunities that benefit SOFTWARE - Cloud & AI Platforms
|
Positive | 85% | Medium-term |
|
Banks
AI growth in Banks creates demand or opportunities that benefit SOFTWARE - Cloud & AI Platforms
|
Positive | 85% | Near-term |
|
Financial Services
AI growth in Financial Services creates demand or opportunities that benefit SOFTWARE - Cloud & AI Platforms
|
Positive | 85% | Near-term |
|
Telecommunication Services
AI growth in Telecommunication Services creates demand or opportunities that benefit SOFTWARE - Cloud & AI Platforms
|
Positive | 85% | Medium-term |
|
Energy
Data center expansion depends on abundant, affordable energy
|
Positive | 80% | Near-term |
| ...and 10 more | |||
When AI changes SOFTWARE - Cloud & AI Platforms, 16 other industries feel it:
See how all 31 industries compare in our Full AI Market Cascade Dashboard