Location strategy and site selection for the new U.S. industrial economy
America’s industrial economy Is being re-engineered
For decades, site selection was driven by cost minimization—find cheap land, secure incentives, build fast. That approach no longer works.
The new U.S. industrial economy—anchored by semiconductors, advanced batteries, electric vehicles, renewable-energy equipment, data centers, biomanufacturing, metals processing, hydrogen and carbon-capture technologies, and next-generation logistics systems—demands a far more disciplined framework.
Each of these sectors carries unique infrastructure, workforce, and regulatory demands: power density for data centers; ultra-pure water and grid redundancy for chip fabs; chemical and environmental permitting for battery and hydrogen plants; and multimodal transport access for metals and logistics hubs. Together, they are redefining where and how capital should be deployed.
Protecting that capital now depends on understanding the true cost of operations—how infrastructure, geography, and policy align to support reliable, adaptable performance over time.
A site may appear inexpensive, yet reality often tells another story. Free land is meaningless if the region lacks skilled labor or inbound logistics. Low property taxes matter little when utilities are unreliable or when permitting drags for months. What matters isn’t the incentive on day one, but how the site performs under operational stress—when power costs spike, workforce depth tightens, or regulation shifts.
Lifecycle-cost analysis confirms that early savings vanish quickly when transport inefficiencies, energy volatility, or labor turnover erode margins. The modern test is not “how cheap,” but “how resilient”.
The new logic of location
Modern location strategy treats every investment as a living system of interdependent forces—determinants and drivers—each shaping long-term competitiveness.
Determinants – Feasibility Gatekeepers
Determinants are the fixed, non-negotiable factors that determine whether a project can operate at scale:
- Power reliability and cost
- Water access and treatment capacity
- Zoning and environmental permitting
- Labor depth and skills alignment
- Inbound supply-chain access (raw-material sources, mode reliability)
- Transportation infrastructure (rail, interstate, port, intermodal terminals)
- Digital/fiber connectivity and redundancy
- Site ownership, topography, flood/wetlands, and buildable area
These define physical feasibility. If any are missing, no incentive or policy advantage can compensate.
Drivers – Capital Catalysts
Drivers are the external and temporal forces that move investment:
- Federal and state incentives, tax credits, financing tools, (i.e. IIJA, IRA, CHIPS, TCJA (OBBB enhancement)
- Trade and tariff policy
- Technological adoption & automation intensity
- Market-demand growth & customer-base geography
- Outbound logistics access to customers and distributors
- Energy policy, ESG mandates, carbon pricing
- Labor-cost inflation, immigration, and training policy
Unlike Determinants, Drivers evolve with legislation, technology, and economic cycles. Viewed together, the two form a predictive framework: Determinants establish baseline feasibility, while Drivers amplify or diminish strategic value.
Two-phase location-planning model
PHASE 1 – Strategic Positioning (Macro):
- Map the Power · Water · Fiber · Taxes · Labor · Logistics · Policy Alignment
PHASE 2 – Tactical Site Selection (Micro)
- - Entitlements · Infrastructure · Permitting · Build Timeline
RESULT:
- Optimized Capital Development
Separating the two turns prevents premature land control and ensures that policy advantage—not acreage—guides investment decisions.
Shovel-Readiness as Proof of Feasibility
- Drivers – Signal Opportunity
Incentives, tariffs, and demand trends indicate where capital could go.
- Determinants – Test Feasibility
Infrastructure, labor, and permitting confirm what can be built.
Verified shovel-readiness is evidence that a site is physically viable.
- Site Strategy – Synthesize & Select
Integrate timing (Drivers) with capacity (Determinants).
- Execution Feedback – Validate Results
Measure cost, delivery, and incentive capture; feed lessons back into planning.
Lifecycle-cost forecasting becomes the analytical core of this step.
Why the Loop Matters:
- Ensures policy credibility before funds deploy.
- Confirms technical readiness before financing.
- Captures real performance data to refine assumptions.
Without this loop, incentives misfire, permitting lags, and cost volatility erodes ROI. With it, investors convert static due diligence into predictive capital confidence.
Alignment vs. misalignment continuum
Semiconductors
20% faster production;
$1B+ grant secured
$75M loss;
failure to ramp
Battery and EV manufacturing
Favorable incentives;
20% less cost
$80M loss;
higher labor cost
Data centers
Below-market power rates
Higher energy cost;
transmission constraints
Metals processing
Startup in 24 months;
public support
2-year delay;
public backlash
SME suppliers
Successful land sale;
SME supplier case
Unprofitable plant;
no incentives
Sector scenarios in action
Semiconductors
Ultra-pure water ≥
5 M gal/day;
redundant grid;
seismic stability
CHIPS Act incentives; reshoring policy
Intel New Albany, OH – 20% faster delivery; $600M incentives
Battery and EV manufacturing
Rail access;
chemical permitting; power cost
IRA §45X credits; domestic-content rules
Panasonic/Novelis AL
– CapEx -5%;
DOE loan secured
Data centers
200 MW power;
dual fiber;
water for cooling
AI & cloud demand; renewable mandates
TX & VA markets outperform low-cost alternatives
Metals processing
High-voltage grid;
industrial water discharge
Critical-minerals policy;
IRA credits
5 % CapEx savings; stable off-take
SME suppliers
Utility scalability;
cluster proximity
OEM localization grants
Increased throughput and contract retention
Supply chains, customers and life cycle cost modeling
Location strategy must capture how supply and demand move through time.
- Raw material-suppliers define inbound logistics—their distance, mode, and reliability determine operational stability.
- Customer bases and distribution networks define outbound logistics—their geography drives delivered cost and revenue timing.
Together, these establish the freight-cost continuum within lifecycle analysis. Life cycle modeling integrates:
- Energy & fuel-price trajectories
- Labor and freight inflation
- Mode-shift potential (rail vs. truck vs. barge)
- Market-growth and demand forecasts
This converts location analysis into predictive cost-of-performance modeling rather than static site comparison.
Financial Implications of Alignment
Aligned Determinants + Drivers
- 5-12% lower CapEx
- 20-30% faster delivery
- 10-15% higher ROI
Misaligned = Delays, stranded assets, +25-50 bps capital-cost penalty.
Logistics life cycle map
Integrated decision hierarchy
Supply chains, customers, and life cycle
Can the supply chain and customer network sustain cost efficiency and resilience across the asset’s life cycle?
Customer proximity, ton-mile economics, life cycle cost (LCC) impact
Trust loop or
proof of feasibility
Can it be executed efficiently and verified?
Cost integration, risk feedback, life cycle cost (LCC) forecast
Two-phase
location planning
Does the location strategy align with macro drivers and micro site constraints for optimal capital deployment?
Policy alignment, infrastructure readiness, site development timeline vs budget
The next frontier of location intelligence
America’s industrial economy is undergoing its biggest reboot in 50 years. The shifting industrial landscape demands redefining what makes a location competitive. Low-cost land and standard incentive packages represent marginal benefits when compared with the true drivers of operational life-cycle cost as they materially shape project/investment economics.
Successful locations pair strong enterprise fundamentals with good timing: scalable infrastructure, skilled labor, supply-chain access, and predictable permitting. Policy shifts, tech cycles, and demand signals now guide where capital flows. When these align, companies can move faster and lower their long-term risk.
Today, teams focus on total cost of performance—how a site functions over its entire life. They stress-test energy and water systems, labor, transportation, and policy impacts. Tools like the Two-Turn Planning Model and the Trust Loop help verify assumptions and adapt to change. High-performing projects integrate market intelligence, economic analysis, and real-time data to guide clients in making the most informed decisions.
The core question has shifted—from “What’s the lowest cost?” to “What will perform best over time?” It’s about optimizing an operational model, not just a real estate transaction.
That’s modern industrial location strategy & site selection—and the new standard for winning in the U.S. industrial economy.
The right location isn’t just a place to build—it’s a hedge against volatility and a foundation for lasting capital protection.
To align your investment and project goals with the right Determinants and Drivers, contact Carl Quesinberry to discuss your project’s unique objectives and path to long-term resilience. He is based in Cincinnati, OH and manages industrial and infrastructure projects across North America. Carl collaborates with Avison Young’s Market Intelligence and Project Teams to deliver holistic solutions that integrate property analytics, location strategy, and operational risk modeling. Explore how our data-driven insights empower clients to make disciplined, high-confidence decisions across sectors through this link.
Need some help navigating location strategy and site selection? We’d be happy to answer your questions. Give us a call.
Carl Quesinberry
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- Senior Director, Industrial Corporate Services
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- Consulting & Advisory
- Strategic Consulting
