AI MISSION CRITICAL CAREERS
FOR ALL VETERANS
SERVICE → TRAIN
Sacrifice transformed.
From the front lines to the fiber lines. Veterans come wired with clearance-ready trust and sworn allegiance. With targeted AI culture training, they become a workforce multiplier for America’s AI backbone.
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Veterans 25–34 have lower unemployment than the general population—a ready, stable cohort for AI-infrastructure roles.
National Unemployment Rate Comparison
General Population (Ages 25-34)
Overall: 4.3%
Men: 4.6%
Women: 4.0%
Veterans (Ages 25-34)
Overall: 3.3%
Men: 3.5%
Women: 2.1%
Performance Comparison
Veterans significantly outperform the general population:
Overall Veterans: 1.0 percentage point LOWER unemployment than general population
Men: 1.1 percentage points LOWER unemployment than general male population
Women: 1.9 percentage points LOWER unemployment than general female population
Market Segment Analysis
TAM States (Texas, Ohio, Pennsylvania, Louisiana, Virginia, South Carolina, Oklahoma, West Virginia, Missouri, Utah, Idaho)
Estimated General Population Unemployed (25-34): ~279,500
Veteran Unemployed (25-34): 19,403
Veterans as % of Total Unemployed: 6.9%
SAM States (Texas, Ohio, Pennsylvania, Louisiana, Virginia)
Estimated General Population Unemployed (25-34): ~206,400
Veteran Unemployed (25-34): 14,236
Veterans as % of Total Unemployed: 6.9%
SOM State (Texas)
Estimated General Population Unemployed (25-34): ~90,300
Veteran Unemployed (25-34): 5,653
Veterans as % of Total Unemployed: 6.3%
Key Policy Insights
Military Training Programs Deliver ROI: Veterans' superior employment outcomes validate federal and state investment in military training and veteran services programs.
Concentrated High-Value Talent Pool: While representing only 7% of unemployed 25-34 year-olds, veterans bring military training, security clearance eligibility, and proven performance.
Strategic Economic Development Asset: The 19,400 unemployed veterans across TAM states represent ready-to-deploy talent for AI hyperscaler projects requiring skilled, cleared personnel.
Scalable Opportunity: Targeted veteran training programs can leverage existing superior employment performance for maximum return on workforce development investment.
Workforce Development Implications
Proven Success Rate: Veteran-focused training programs can expect higher placement and retention rates based on demonstrated employment advantages.
Security-Critical Roles: Essential for AI infrastructure requiring U.S. citizenship and security clearances.
Quality Investment: Small, targeted veteran programs yield disproportionate economic impact.
TRAIN → WORK
Strength redeployed.
Veterans don’t just adapt—they outperform. Ages 25–34, men and women, proven high-performing talent. Disciplined work ethic. Ready now. States with strong AI infrastructure demand stand ready to lead the way.
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We start where speed, scale, and early traction are most achievable. Republican-led and red-leaning states are creating the most favorable conditions for AI hyperscaler and energy expansion—and for building the skilled trades pipeline required to support them.
Democrat-led / blue-leaning states remain critical markets, but they bring more regulatory hurdles, longer permitting, and greater institutional control. We plan to expand here, but Phase 1 must prioritize traction where conditions are most favorable.
The military veteran population ages 25-34 by gender in our specified Republican-led / red-leaning states across our TAM, SAM, and SOM framework:
TAM (Total Addressable Market)
States: Texas, Ohio, Pennsylvania, Louisiana, Virginia, South Carolina, Oklahoma, West Virginia, Missouri, Utah, Idaho
Total Veterans (All Ages): 4,832,763
Veterans Ages 25-34: 579,931
Male Veterans (25-34): 516,138 (89%)
Female Veterans (25-34): 63,792 (11%)
TAM States Breakdown
State / Total Veterans / Veterans 25-34 / Male 25-34 / Female 25-34
Texas / 1,408,010 / 168,961 / 150,375 / 18,585
Pennsylvania / 656,112 / 78,733 / 70,072 / 8,660
Virginia / 637,971 / 76,556 / 68,134 / 8,421
Ohio / 626,617 / 75,194 / 66,922 / 8,271
Missouri / 354,505 / 42,540 / 37,860 / 4,679
South Carolina / 344,530 / 41,343 / 36,795 / 4,547
Oklahoma / 247,634 / 29,716 / 26,447 / 3,268
Louisiana / 217,225 / 26,067 / 23,199 / 2,867
Idaho / 117,609 / 14,113 / 12,560 / 1,552
Utah / 113,093 / 13,571 / 12,078 / 1,492
West Virginia / 109,457 / 13,134 / 11,689 / 1,444
SAM (Serviceable Available Market)
States: Texas, Ohio, Pennsylvania, Louisiana, Virginia
Total Veterans (All Ages): 3,545,935
Veterans Ages 25-34: 425,512
Male Veterans (25-34): 378,705 (89%)
Female Veterans (25-34): 46,806 (11%)
SAM States Breakdown
State / Total Veterans / Veterans 25-34 / Male 25-34 / Female 25-34
Texas / 1,408,010 / 168,961 / 150,375 / 18,585
Pennsylvania / 656,112 / 78,733 / 70,072 / 8,660
Virginia / 637,971 / 76,556 / 68,134 / 8,421
Ohio / 626,617 / 75,194 / 66,922 / 8,271
Louisiana / 217,225 / 26,067 / 23,199 / 2,867
SOM (Serviceable Obtainable Market)
State: Texas
Total Veterans (All Ages): 1,408,010
Veterans Ages 25-34: 168,961
Male Veterans (25-34): 150,375 (89%)
Female Veterans (25-34): 18,585 (11%)
Methodology:
Age Range: Veterans aged 25-34 represent approximately 12% of total veteran population
Data Sources: VA VetPop2023, World Population Review, U.S. Census veteran demographics
Gender Split: Applied national veteran gender distribution of 89% male, 11% female
State Selection: Used your specified TAM, SAM, and SOM state lists
WORK → HOPE
Honor restored.
A unified nation empowering the most sacred to protect the homeland again. Join our founder—a war veteran—in this duty that places country above partisanship—and unity above division.
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This unemployed veteran demographic represents a prime target for trade school training and AI infrastructure workforce development programs, particularly valuable given veterans’ existing technical skills, work ethic, and potential security clearance eligibility.
Here is the breakdown of unemployed military veteran population ages 25-34 by gender in our specified Republican-led / red-leaning states across our TAM, SAM, and SOM framework:
TAM (Total Addressable Market)
States: Texas, Ohio, Pennsylvania, Louisiana, Virginia, South Carolina, Oklahoma, West Virginia, Missouri, Utah, Idaho
Total Unemployed Veterans (Ages 25-34): 19,403 (3.3% unemployment rate)
Unemployed Male Veterans: 18,064 (3.5% unemployment rate)
Unemployed Female Veterans: 1,339 (2.1% unemployment rate)
State-by-State Breakdown (TAM States)
State | Total Unemployed | Unemployment Rate | Male Unemployed | Female Unemployed
Texas | 4,561 | 2.7% | 4,060 | 501
Pennsylvania | 3,385 | 4.3% | 3,013 | 372
Virginia | 1,913 | 2.5% | 1,703 | 210
Ohio | 1,428 | 1.9% | 1,271 | 157
South Carolina | 992 | 2.4% | 883 | 109
Missouri | 935 | 2.2% | 832 | 102
Louisiana | 703 | 2.7% | 626 | 77
Oklahoma | 624 | 2.1% | 555 | 68
West Virginia | 420 | 3.2% | 374 | 46
Utah | 271 | 2.0% | 241 | 29
Idaho | 254 | 1.8% | 226 | 27
SAM (Serviceable Available Market)
States: Texas, Ohio, Pennsylvania, Louisiana, Virginia
Total Unemployed Veterans (Ages 25-34): 14,236 (3.3% unemployment rate)
Unemployed Male Veterans: 13,254 (3.5% unemployment rate)
Unemployed Female Veterans: 982 (2.1% unemployment rate)
SAM States Breakdown
State | Total Unemployed | Unemployment Rate | Male Unemployed | Female Unemployed
Texas | 4,561 | 2.7% | 4,060 | 501
Pennsylvania | 3,385 | 4.3% | 3,013 | 372
Virginia | 1,913 | 2.5% | 1,703 | 210
Ohio | 1,428 | 1.9% | 1,271 | 157
Louisiana | 703 | 2.7% | 626 | 77
SOM (Serviceable Obtainable Market)
State: Texas
Total Unemployed Veterans (Ages 25-34): 5,653 (3.3% unemployment rate)
Unemployed Male Veterans: 5,263 (3.5% unemployment rate)
Unemployed Female Veterans: 390 (2.1% unemployment rate)
Key Insights
Pennsylvania has the highest veteran unemployment rate (4.3%) among all TAM states
Idaho has the lowest veteran unemployment rate (1.8%) among TAM states
Male veterans represent approximately 93% of unemployed veterans in this age group
Texas alone (SOM) accounts for 29% of all unemployed veterans ages 25-34 in the SAM states
This unemployed veteran population represents a highly skilled, security-clearance eligible workforce ready for immediate placement in AI hyperscaler infrastructure projects
Methodology:
Data Sources: BLS Employment Situation 2024-2025, VA VetPop2023, state veteran employment tables
National Rates: Male veterans 3.5%, Female veterans 2.1% unemployment (ages 25-34)
State Rates: From BLS 2024 annual averages for state-specific breakdown
Population Base: Applied unemployment rates to veteran population calculated in previous analysis
State Lists: TAM (11 states), SAM (5 states), SOM (Texas only) as specified