ETN
Eaton · NYSE · Ireland/USA
Cap tier
Large
Approx cap
$140.0B
Bull scenarios
28
Adverse scenarios
0
Other links
0
Modeled impact
unknown
0 explicit links; 28 public links lack move; 0 lack probability
Themes & clusters
From SRC_B Theme-Company Matrix
C3Data Center Power TransformersGigawatt-scale data centersHyperscaler-funded electric grid build-outUPS / RAID arrays / backup infrastructureelectrical equipment (data center bottleneck)
Investment thesis
From SRC_B Company Master
DC electrical market leader.
Bull scenarios (28)
Predictions where this ticker benefits
| Pred | Role | Domain | Prediction | Predictor | Current | Move | Impact | Status |
|---|---|---|---|---|---|---|---|---|
| FUT_010 | multi_vector | Energy | Fundamental cost of clean electricity drops by another multiple of 4 over 2026-2031+; precipitous decline drives solar to ~1/3 of all global electricity generation. Wright's Law mathematical certainty applied to silicon PV + lithium-ion storage + elect... | Ramez Naam | 70.0% | unknown | unknown | in_progress |
| CMQ_023 | multi_vector | AI/Compute | Tokens are the new raw material — data centers are no longer cost centers but active 'AI factories' that consume electricity and data to manufacture tokens. | Jensen Huang | 64.9% | unknown | unknown | in_progress |
| CYB_007 | multi_vector | Semis | Data-center CPU market expansion refined to $32.5-$60 billion by 2030 — CPUs as indispensable control layer orchestrating multi-step agentic logic, managing conditional branching, and coordinating vast arrays of specialized smaller AI models. | Morgan Stanley | 64.8% | unknown | unknown | in_progress |
| INF_059 | multi_vector | Energy | Global South energy transitions will follow "energy stacking" rather than substitution patterns — households simultaneously use solar panels (primarily for lighting), biomass, LPG, and grid power, reshaping land use and urbanization in peri-urban Afric... | Peter Dannenberg | 58.8% | unknown | unknown | in_progress |
| INF_010 | multi_vector | Energy | US data-center demand will reach 74 GW by 2028 against a projected ~49 GW power-access shortfall — structural gap driven by retiring coal/gas, aging grid, and ~7-year interconnection queues. | Morgan Stanley | 55.6% | unknown | unknown | pending |
| INF_063 | multi_vector | Energy | Advancing sustainable, high-capacity battery storage is the only mechanism to capture "negative power prices" (European peak solar/wind oversupply forcing producers to pay to offload) and ensure the economic viability of renewable energy developers. | Morgan Stanley | 54.4% | unknown | unknown | in_progress |
| INF_032 | multi_vector | Macro/Economy | Residential electricity costs are a structural byproduct of DC buildout: Washington state household electricity costs rose 10.3% from 2024 to 2025 directly tied to infrastructure strain, with utility-proposed rate increases projecting residential price... | Seattle Met / Washington State regulators | 54.2% | unknown | unknown | in_progress |
| INF_034 | multi_vector | Real Estate | Equinix has 56 planned data-center projects including 13 xScale developments designed for high-density power-hungry AI workloads — slated to be fully operational by 2026. | Equinix | 53.9% | unknown | unknown | in_progress |
| CMQ_017 | multi_vector | Energy | US electricity production must grow by 'tens of percent' by end of decade to support hundreds of millions of frontier-AI GPUs. | Leopold Aschenbrenner | 51.9% | unknown | unknown | in_progress |
| INF_058 | multi_vector | Energy | The electrical grid topology will transition from centralized to highly decentralized: localized solar + residential/commercial battery storage will shift power management toward microgrids where local DNOs optimize autonomously, turning millions of ho... | Andrew Yang | 51.5% | unknown | unknown | partial |
| CMQ_014 | multi_vector | AI/Compute | Physical compute scaling will proceed at ~0.5 OOMs per year through 2027, driven by exponentially larger data-center construction. | Leopold Aschenbrenner | 49.7% | unknown | unknown | in_progress |
| AI_018 | multi_vector | Energy | Global data center construction spend will reach approximately $2.9 trillion through 2028 — early adopters of AI infrastructure are already seeing cash-flow-margin expansions at roughly twice the global average. | Morgan Stanley | 49.1% | unknown | unknown | in_progress |
| INF_048 | multi_vector | Energy | Global data-center energy demand will reach approximately 945 Terawatt-hours by 2030 — a roughly 175% increase from 2023 levels — requiring complete grid overhauls in major markets. | IEA | 47.9% | unknown | unknown | in_progress |
| INF_012 | multi_vector | Energy | AI data-center power consumption will grow by approximately 126 GW annually through 2028 — comparable to Canada's total annual power demand, and representing nearly 20% of projected global power growth through 2030. | Morgan Stanley | 46.0% | unknown | unknown | pending |
| INF_029 | multi_vector | Macro/Economy | Enterprise AI will shift the software economy from licensing to 'outcome-based economics' — corporations will pay data-center operators directly for finalized outcomes (optimized supply chains, completed legal briefs, delivered marketing campaigns) rat... | Peter Diamandis / Salim Ismail / Andrew Yang | 45.9% | unknown | unknown | partial |
| FUT_012 | multi_vector | Energy | Two-thirds of world's nations reaching tipping point 2026-2031 where building new renewable capacity is strictly cheaper than operating existing fully-depreciated coal/natural gas facilities — achieved completely independent of government subsidies. De... | Ramez Naam | 44.6% | unknown | unknown | in_progress |
| ROB_020 | multi_vector | Macro/Economy | The 'Factory-is-the-Product' model will dominate venture-backed manufacturing — the manufacturing process itself becomes a continuous AI-optimized technological product, not merely a site of assembly. a16z predicts AI's 'insatiable need for power' requ... | Marc Andreessen | 43.4% | unknown | unknown | in_progress |
| INF_007 | multi_vector | AI | OpenAI will dominate global AI data-center capacity by 2027 — centralization of compute power that parallels monopolistic utilities of the early industrial age. | Alex Wissner-Gross | 42.6% | unknown | unknown | pending |
| INF_014 | multi_vector | Energy | Data-center industry could emit up to 2.5 billion tons of CO2 cumulatively through 2030 if powered primarily by fossil fuels — a scale that materially delays global climate-pledge compliance. | Morgan Stanley | 42.0% | unknown | unknown | pending |
| INF_072 | multi_vector | AI | There is approximately a 50/50 chance that simply scaling existing methodologies (transformer architecture + more data + more compute) will be enough to reach AGI — though "nowhere near" human-level AGI currently. | Demis Hassabis | 40.4% | unknown | unknown | pending |
| COD_AI_002 | multi_vector | AI/Compute | At least one 1 GW Vera Rubin frontier-training cluster reaches deployment by Q1 2027 | Codex Research Pack | 39.7% | unknown | unknown | pending |
| INF_004 | multi_vector | Geopolitics | China has massive latent 'ghost data center' capacity — fully powered facilities sitting empty awaiting compute — such that if export controls relax or are bypassed, China has near-immediate physical capacity to train frontier models equivalent to Anth... | Jensen Huang | 38.9% | unknown | unknown | partial |
| AI_019 | multi_vector | Markets/Stocks | Copper and other critical base metals will be the premier investment assets of 2026 — insatiable, inelastic demand for data-center electrification and thermal management creates commodity supercycle not priced into public markets. | Chamath Palihapitiya | 37.3% | unknown | unknown | in_progress |
| INF_023 | multi_vector | Robotics | Data-center physical shells will be increasingly erected by 3D-printing and robotic-assembly systems with minimal human intervention — necessary because human labor supply is insufficient to build at trillion-dollar buildout velocity. | Ben Lamm | 36.1% | unknown | unknown | pending |
| INF_018 | multi_vector | Space | SpaceX will pursue orbital data-center megaconstellations — leveraging 24/7 solar, near-absolute-zero vacuum for passive cooling, and eliminating freshwater consumption constraints of terrestrial facilities. | Elon Musk | 28.4% | unknown | unknown | pending |
| INF_051 | multi_vector | Energy | Tech-sector data centers will invert the tech-utility relationship: when operating below peak capacity, excess clean electricity from corporate-owned SMRs will flow back into municipal grids, positioning tech giants as primary energy providers to local... | Jensen Huang | 27.6% | unknown | unknown | pending |
| INF_020 | multi_vector | Space | In-orbit data-center market will reach approximately $1.77 billion by 2029 and grow to approximately $39.1 billion by 2035 — a 67.4% CAGR driven by Starship economics, radiation-hardened TPU hardware, and mega-constellation filings. | BIS Research | 26.5% | unknown | unknown | pending |
| INF_028 | multi_vector | Labor/Jobs | AI will render approximately 99% of white-collar jobs replaceable within two years — cognitive-labor costs will mathematically approach the marginal cost of electricity required to generate inference. | Dave Blundin | 13.9% | unknown | unknown | pending |
Adverse scenarios (0)
Predictions where this ticker is displaced
| Pred | Domain | Prediction | Predictor | Current | Move | Impact | Mechanism |
|---|---|---|---|---|---|---|---|
| No adverse scenarios | |||||||