HUBB

Hubbell · NYSE · USA

Cap tier

Large

Approx cap

$22.0B

Bull scenarios

Adverse scenarios

Themes & clusters

From SRC_B Theme-Company Matrix

C3Data Center Power TransformersHyperscaler-funded electric grid build-outelectrical equipment (data center bottleneck)

Investment thesis

From SRC_B Company Master

Utility electrical leader.

Bull scenarios (27)

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
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