Makers of servers, storage, networking equipment, optical fiber and components, PCs, smartphones and the electronic parts inside them. It is the layer that turns chips into working AI data centers, telecom networks and consumer devices.
Representative public companies: Apple (AAPL), Dell Technologies (DELL), Arista Networks (ANET), Cisco Systems (CSCO), Hewlett Packard Enterprise (HPE), Super Micro Computer (SMCI), Corning (GLW), Nokia (NOK). Named for context only, not as recommendations.
Research current as of September 12, 2026 · Adoption stage: Bifurcated
The hardware industry is split in 2026. Data center equipment is booming: Dell booked $60.9 billion of AI server orders in its fiscal Q2 2027, ended with a $95.0 billion backlog, raised its fiscal 2027 AI server revenue outlook to $74 billion and reported more than 6,500 AI customers. Arista posted its first $3 billion quarter and launched 1.6 terabit AI fabric switches. Consumer devices face the opposite pressure: IDC expects 2026 smartphone shipments to fall 16.7% and PC shipments to fall 11.3% as memory shortages push prices up. On-device AI is reaching consumers gradually, with Apple opening its redesigned Siri to the iOS 27 public beta in July 2026, ahead of an expected September launch.
| Company | What was deployed | Date |
|---|---|---|
| Dell Technologies | AI-optimized servers sold to neocloud, sovereign and enterprise customers $60.9 billion of AI server orders and $16.4 billion of AI server revenue in the quarter; $95.0 billion backlog; more than 6,500 AI customers |
2026-09[1] |
| Arista Networks | 7060XE7 Series switches delivering 1.6 terabits per second for AI fabrics Q2 2026 revenue of $3.036 billion, up 37.7% year over year |
2026-08-04[2] |
| Apple | Redesigned AI-powered Siri, built on Apple Foundation Models developed in collaboration with Google's Gemini, opened to the iOS 27 public beta | 2026-07-14[3] |
| Nokia with T-Mobile US and NVIDIA | GPU-accelerated AI-RAN workloads tested at T-Mobile's AI-RAN Innovation Centre, running AI and radio processing on one NVIDIA Grace Hopper 200 server | 2026-03-01[4] |
| Corning | Multi-billion-dollar agreement to supply Verizon with high-density optical fiber for broadband and AI data center connections Over 80 million miles of fiber through 2032 |
2026-09-08[5] |
Projections grounded in what is happening now, not certainties. Each one names the signal that would confirm it.
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 | 1.13 | 1.11 – 1.15 | Slight tailwind (+13%) |
| 2 Years | 1.23 | 1.19 – 1.27 | AI tailwind (+23%) |
| 3 Years | 1.53 | 1.45 – 1.61 | AI tailwind (+53%) |
| 5 Years | 2.26 | 2.11 – 2.41 | AI tailwind (+126%) |
| 10 Years | 2.82 | 2.62 – 3.02 | AI tailwind (+182%) |
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 | 1.14 | 1.25 | 1.61 | 2.53 | 3.21 | #13 |
| Base Base case AI progress, current trajectory energy | 1.13 | 1.23 | 1.53 | 2.26 | 2.82 | #12 |
| Doom Slower AI progress, constrained energy, market correction | 1.07 | 1.19 | 1.44 | 2.00 | 2.45 | #8 |
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 Technology Hardware & Equipment.
| Industry | Effect | Strength | Timing |
|---|---|---|---|
|
SEMICONDUCTORS - Foundry & Equipment
AI growth in SEMICONDUCTORS - Foundry & Equipment creates demand or opportunities that benefit Technology Hardware & Equipment
|
Positive | 90% | Near-term |
|
SEMICONDUCTORS - Chip Design & Fabless
AI growth in SEMICONDUCTORS - Chip Design & Fabless creates demand or opportunities that benefit Technology Hardware & Equipment
|
Positive | 80% | Near-term |
|
Utilities
AI growth in Utilities creates demand or opportunities that benefit Technology Hardware & Equipment
|
Positive | 80% | Medium-term |
|
Consumer Discretionary Distribution & Retail
AI growth in Consumer Discretionary Distribution & Retail creates demand or opportunities that benefit Technology Hardware & Equipment
|
Positive | 80% | Near-term |
|
Health Care Equipment & Services
AI growth in Health Care Equipment & Services creates demand or opportunities that benefit Technology Hardware & Equipment
|
Positive | 60% | Near-term |
|
Energy
Grid modernization requires advanced monitoring and control hardware
|
Positive | 40% | Near-term |
When AI changes Technology Hardware & Equipment, 8 other industries feel it:
See how all 31 industries compare in our Full AI Market Cascade Dashboard