Our Mission
PivotIntel provides workers and communities with honest, data-driven intelligence about AI’s economic impact—empowering them to navigate transformation with agency rather than being blindsided by it.
Our Vision
A world where workers have the same quality of intelligence about economic transformation that investors and executives do—and use it to protect their livelihoods and negotiate fair terms.
Why PivotIntel Exists
While tech companies announce billions in AI investments and stock prices soar, workers are losing 50,000+ jobs per month in automation-vulnerable sectors with no warning systems, no transition support, and virtually no regulation.
Communities are sacrificing hundreds of millions in tax revenue for data centers that create 30-150 permanent jobs while consuming massive amounts of power and water.
The information exists. Companies track it. Investors use it. Executives plan around it.
Workers and communities don’t have access to it.
PivotIntel bridges that gap. We track AI infrastructure investments, enterprise adoption, employment impact, and community negotiations—then translate that intelligence into actionable guidance for the people most affected by this transformation.
We’re not cheerleaders for AI. We’re not doomsayers either. We’re intelligence analysts providing honest assessment of what’s happening, who benefits, and what you can do about it.
How We Decide What to Track
Not all “AI news” matters for workers and communities. We use a simple three-question framework to decide what deserves your attention:
Decision Framework
| Question | If YES -> | If NO -> |
| Does this directly affect workers’ employment prospects or income? | Consider tracking | Low priority |
| Does this help communities negotiate better terms with developers? | High priority | Low priority |
| Can workers take meaningful action based on this information? | High priority | Skip or brief mention only |
Decision Rule: We track information that answers YES to at least one of these questions. If all three are YES, it’s core mission content and gets priority coverage.
What We Track (and Why)
TIER 1: Core Mission Content
This is what we track daily and report weekly. It directly serves workers and communities.
| What We Track | Why It Matters | Update Frequency | Where You’ll Find It |
| 🏢 Infrastructure Projects | Data centers create community impact, job claims vs reality, tax burden | Daily (automated scrapers and feeds) | Project Database, Weekly Newsletter |
| 💼 Enterprise AI Adoption | Shows which companies are automating, how many workers affected | Daily (automated scrapers and feeds) | Enterprise Tracker, Weekly Newsletter |
| 📊 Employment Data | Tracks job losses and reemployment difficulty in automation-vulnerable sectors | Weekly (BLS data) | Newsletter, Analysis Articles |
| 🎯 Career Opportunities | Identifies sustainable career paths, warns about scams and false promises | Weekly research | Under the Radar Newsletter |
| 🏛️ Community Negotiations | Tax abatements, subsidies, public costs, local hiring requirements | As announced | Analysis Articles, Project Database |
TIER 2: Context & Validation
We monitor this to provide context and validate our analysis, but it’s not our primary focus.
| What We Monitor | Why We Check It | Update Frequency | Where You’ll See It |
| 🤝 Major Partnerships | Validates infrastructure demand is real, shows competitive dynamics | Weekly | Newsletter (brief mentions) |
| 📜 Policy Changes | Shows systemic enablers and barriers (chip exports, labor protections) | As relevant | Analysis Articles, Newsletter |
| 📈 Market Indicators | Confirms whether demand is real vs speculative (NVIDIA earnings, etc.) | Weekly | Newsletter (brief context) |
| 🌐 International Developments | Only when it affects US workers or infrastructure (Saudi deals, etc.) | As relevant | Analysis Articles |
OUT OF SCOPE
We explicitly do not track these topics, even though they’re related to AI. These are more investigative articles. Here’s why:
| What We Don’t Track | Why Not |
| ❌ AI Ethics & Safety Debates | Important, but doesn’t affect worker employment decisions or community negotiations |
| ❌ AI Model Capabilities | Technical comparisons (GPT-4 vs Claude vs Gemini) don’t change what workers should do |
| ❌ Consumer AI Products | Our focus is employment impact, not consumer tools and apps |
| ❌ Academic AI Research | Too abstract, not actionable for workers navigating career transitions |
| ❌ CEO Drama & Corporate Politics | Executive changes don’t affect automation deployment timelines |
| ❌ General Tech M&A | Only relevant if it directly affects infrastructure buildout or mass employment |
| ❌ Stock Market Speculation | We note major moves that validate our thesis, but we’re not investment advisors |
Real Examples: What We Track vs. Skip
Here’s how our framework works in practice:
| Topic | Track? | Decision Reasoning | Impact on Workers/Communities |
| Meta announces $1B Wisconsin data center | ✅ YES | Infrastructure project with community tax impact and job claims to verify | Direct: Local job opportunities, public cost, resource use |
| Target confirms ChatGPT Enterprise usage | ✅ YES | 400,000 workers at company deploying enterprise AI for automation | Direct: Shows scale of enterprise adoption, signals to retail workers |
| White House blocks chip export limits | ✅ YES | Policy decision that enables faster AI infrastructure buildout globally | Direct: Signals acceleration of automation, informs worker timeline |
| BLS: Continuing jobless claims rise to 1.97M | ✅ YES | Shows displaced workers struggling to find reemployment | Direct: Validates urgency of proactive career planning |
| Michigan utility seeks to fast-track data center approval | ✅ YES | Community process being bypassed, precedent for other communities | Direct: Communities need to know their negotiating power |
| Google Gemini 3 beats GPT-4 on benchmarks | ⚠️ BRIEF MENTION | Competition drives faster deployment, validates infrastructure demand | Indirect: Signals acceleration, but doesn’t change worker actions |
| OpenAI CEO fired then rehired | ❌ NO | Corporate drama, doesn’t affect automation deployment or worker options | None: Leadership changes don’t alter transformation timeline |
| New AI model generates better images | ❌ NO | Capability improvement, not employment impact news | None: We don’t track model quality comparisons |
| Stanford publishes AI alignment research | ❌ NO | Academic research, too abstract for worker action | None: Important for AI safety, not for worker navigation |
| AI startup raises $50M Series B | ❌ NO | Venture capital news, no direct worker or community impact | None: We track infrastructure spending, not startup funding |
Our Sources & Methodology
Automated Intelligence:
- Daily scraping of 100+ infrastructure project sources
- Regional monitoring (Michigan, other high-activity states)
- Employment data feeds (BLS, Goldman Sachs estimates)
- Policy tracking (Commerce Dept, Federal Reserve, state regulations)
Manual Research:
- Primary source documents (permits, tax agreements, meeting minutes)
- Community meeting coverage (planning commissions, public hearings)
- Enterprise adoption verification (company announcements, earnings calls)
- Career opportunity validation (job boards, income reports, user feedback)
Verification:
- Every infrastructure project includes source links
- Major claims archived via Wayback Machine
- Multiple source confirmation for controversial claims
- Corrections published prominently when errors occur
Full sources and methodology documentation available for each article.
Who We Serve
Workers:
- Evaluating automation risk in current roles
- Planning career transitions before displacement
- Identifying legitimate opportunities vs scams
- Understanding which skills remain valuable
Communities:
- Evaluating data center proposals
- Negotiating better tax and hiring terms
- Understanding true costs and benefits
- Organizing effective opposition when needed
Career Professionals:
- Staffing agencies serving displaced workers
- Career coaches needing market intelligence
- Workforce development organizations
- Researchers studying economic transformation
Who We Don’t Serve
We are not building tools for:
- ❌ Investors seeking stock tips
- ❌ Companies looking to deploy AI more effectively
- ❌ Journalists seeking sensational AI stories
- ❌ Researchers studying AI capabilities
- ❌ Policy advocates focused on AI safety/ethics
Our loyalty is to workers and communities navigating economic transformation, not to capital seeking higher returns.
Our Values
Honesty Over Hype: We don’t sugarcoat job displacement or oversell opportunities. Workers deserve truth, not false hope.
Action Over Anxiety: We focus on what workers can control: their own preparation, career choices, and collective organizing.
Data Over Ideology: We follow the evidence wherever it leads, updating our analysis when new data emerges.
Accessibility Over Profit: Core intelligence remains free because displaced workers can’t afford paywalls. We generate revenue from B2B services to professionals who use our intelligence commercially.
Workers Over Capital: When worker interests conflict with investor interests, we side with workers. Every time.
Sustainability Model
Free Tier (Always):
- Weekly newsletters
- Project database access
- Employment tracking
- Basic career guidance
- Scam warnings
Premium Tools (Future):
- Personalized career assessment. This is a tool meant to compliment the work of career and coaches with real time data that’s ongoing.
- Advanced opportunity alerts
- Resume analysis
- Community forum
B2B Services:
- API access for staffing agencies
- Custom research for organizations
We’re structured as an L3C (Low-profit LLC), enabling us to accept workforce development grants while generating revenue from professional services. This keeps core intelligence accessible to workers while building a sustainable operation.
Questions About Our Scope?
If you’re wondering why we’re covering (or not covering) a particular topic, check our decision framework above. If you still have questions, contact us.
We’re transparent about what we track and why. Our mission is clear: serve workers and communities navigating AI’s economic transformation. Everything else is noise.
Last Updated: November 20, 2025