By Granite State Report
Introduction
We previously explored how the generation after Generation Z may face a very different relationship to “jobs” and “careers” due to automation, artificial intelligence (AI), robotics and shifting work-norms. In this special report we turn our focus to New Hampshire: how might this transformation play out in the Granite State? What specific opportunities, risks and responses should policy-makers, educators, young people and communities here be thinking about? As your nerdy, playful mentor, I dive into local data, trends and strategies—while reminding that we’re dealing with possibilities, not certainties.
1. The local picture: Where New Hampshire currently stands
1.1 Employment and openings
- According to the U.S. Bureau of Labor Statistics (BLS) for New Hampshire: as of July 2025 there were 34,000 job openings at a rate of 4.6 %. (Bureau of Labor Statistics)
- More recently (first quarter 2025), employment in the three largest counties (Hillsborough, Merrimack, Rockingham) declined year-over-year. (Bureau of Labor Statistics)
- The state projects employment growth from 719,300 jobs in 2022 to 761,300 in 2032 — an increase of about 5.8 %. (New Hampshire Employment Security)
These data show that while there is growth projected, the rate is modest and some of the largest counties are already seeing declines. The state is not immune to disruption.
1.2 Growth sectors and risk sectors
- In the state’s long-term occupational projections: computer and mathematical occupations are expected to grow at the fastest rate (projected +18.1% over ten years) in NH. (New Hampshire Employment Security)
- Meanwhile, many jobs that involve routine tasks (manufacturing, certain administrative support) are likely more exposed to automation and AI substitution. Broad literature supports that risk. (arXiv)
1.3 State efforts and workforce-development responses
- The NH Tech Alliance has identified that in New Hampshire, training in AI and learning development is already a focus: “Empowering the Granite State: The essential role of AI learning and development in New Hampshire’s corporate future.” (New Hampshire Tech Alliance)
- New Hampshire’s Employment Projections explicitly note that their methodology takes into account “structural changes in the economy such as the emergence of new technologies and changes in business practices.” (New Hampshire Employment Security)
2. How broader trends may play out in New Hampshire
We must work from broader global/regional trends in automation + AI, and then map them into local context. Key patterns: tasks are being automated, jobs are being transformed, new “human-only” domains are rising. (See for example the global McKinsey research on automation of work tasks. (McKinsey & Company) )
2.1 Risk of “no-career” outcomes at the local scale
Considering the possibility that many young people may not follow a 20-40 year “career” with one or more employers, what does that imply for NH?
- Regions with modest job-growth may see fewer stable long-term employment opportunities. Because NH’s projected growth is only ~5.8% over ten years, the pace is not enormous. (New Hampshire Employment Security)
- Smaller towns and rural areas in NH may face even more challenge: studies show smaller cities/regions often are hit harder by automation because they have fewer specialized occupations that resist automation. (arXiv)
- If many tasks become automated, the “traditional” ladder into stable employment may be more fragile in NH—so young people must plan for multiple roles, portfolio careers, or value-creation outside steady jobs.
2.2 Opportunities unique to the Granite State
- The projected fastest-growing occupations in NH: computer/mathematical, healthcare support. These align with areas less vulnerable (though not immune) to automation. If young people focus on these fields, they may access roles that are more resilient. (New Hampshire Employment Security)
- NH’s size and community nature means local innovation, community-based value creation, remote/hybrid work may flourish. The pool of “portfolio” work, creative work, remote gigs might be accessible for NH residents without needing large-city residences.
- Workforce development in NH is already responding: the UNH digital skills/AI-automation certificate is one example. (UNH Digital Skills)
2.3 Policy and institutional gaps to fix
- The current state employment decline in largest counties suggests structural issues: if employment declines while openings remain high, mismatch in skills/training may exist. (See BLS data: job openings vs. employment changes. (Bureau of Labor Statistics) )
- Education and training systems must anticipate new kinds of work, not just traditional jobs. The “career path” model may need revision.
- Rural and smaller towns may be left behind if they don’t develop niches of value-creation or connectivity to remote/AI-augmented work.
3. Scenario planning for the next generation in New Hampshire
Let’s adapt the earlier general scenarios (portfolio age, human-only zone, post-work) to NH, giving three “state-specific” visions for the youth of NH.
Scenario A – “Granite Portfolio Lives”
By 2035–2045 a typical young Granite Stater:
- Engages in multiple short-term projects: e.g., a half-year contract optimizing an AI-driven manufacturing line at a local firm, followed by teaching part-time at a community college, followed by weekend work creating immersive historical tours in NH’s towns.
- Uses a baseline income from remote/AI-augmented work but supplements with entrepreneurial micro-ventures (bed & breakfast plus VR history tours, for example).
- Education is continuous: after high school they pick up digital-skills micro-certificates, AI-tool mastery, community building.
- The “job” isn’t with one employer for decades—it’s a network of roles, contributions, gigs, local engagements.
Implications for NH policy/educators:
- Expand micro-credentialing, especially in AI, digital tools, hybrid work.
- Support region-wide connectivity for remote/portfolio work (broadband, coworking spaces).
- Encourage local entrepreneurial ecosystems so young people can build work close to home.
Scenario B – “Human-Ventures in the Granite State”
Here NH becomes a region where many traditional jobs are automated, but human-centric roles rise.
- Roles like caregiving, mentorship, community-arts, ecological restoration become major value domains. Machines handle logistics, data-work; humans focus on relational, ecosystem, meaning-work.
- A young person might split time between remote supervision of automated systems for a manufacturing firm and local community restoration/conservation work in the White Mountains.
- “Career” becomes less about climbing, more about crafting a meaningful mix of human-first work and tech-augmented oversight.
Implications:
- Educational pathways must include soft skills, ethics, human-machine collaboration.
- Communities should value and invest in roles that machines cannot easily replicate (e.g., elder care, ecosystem services, creative work).
- Local governments must think about how to support such roles structurally (benefits, training, social recognition).
Scenario C – “Post-Work Granite State”
More radical—but worth considering: by ~2040 NH may see a shift where:
- Many younger people do not enter “careers” in the traditional sense; instead income is decoupled from full-time employment via local versions of a citizen dividend, automation co-ops, community enterprise.
- People spend more time on creative, ecological, civic, exploratory projects; fewer hours in formal employment.
- Young Granite Staters focus on “what I want to do” rather than “what job I will have”. Work becomes optional, flexible, multiphase.
Implications:
- Policy must consider income security independent of full-time jobs (UBI, universal support).
- Education shifts toward life-skills, adaptability, meaning-making.
- Communities need to restructure how “contribution” is valued beyond paid employment.
4. Strategic recommendations for New Hampshire stakeholders
4.1 For Young People & Families
- Begin planning for flexible career trajectories: diversify skills, consider micro-credentials, view the job landscape as “fluid”.
- Invest in digital literacy, AI-tool mastery, remote work readiness. Use local resources (e.g., UNH certificate in AI/automation). (UNH Digital Skills)
- Embrace local/community value creation: startups, rural innovation, remote gigs that leverage NH’s quality-of-life.
- Stay alert to lifelong learning—education doesn’t end with a degree.
4.2 For Educators & Training Providers
- Expand modular credentials in AI/digital tools, human-tech collaboration, soft-skills (empathy, ethics).
- Work with employers to map what tasks are automatable vs what human value remains (so curricula align with real-world changes).
- Make training accessible across the state (rural areas, small towns) and not just urban hubs.
- Encourage hybrid models and remote-ready skills.
4.3 For Employers & Industry
- Recognize that the nature of work tasks is shifting: automation + AI will reshape roles. Invest in retraining and human/AI collaboration.
- In NH’s compact market, offering clear trajectories for employees (even in non-traditional roles) helps retain talent. (See NH Tech Alliance commentary.) (New Hampshire Tech Alliance)
- Partner with educational/training institutions to build local talent pipelines in next-gen roles (data, AI-tool oversight, remote service).
- Consider flexible work models, portfolio-work frameworks, remote/distributed staffing leveraging NH’s community strengths.
4.4 For Policy-Makers & Community Leaders
- Review and update workforce, labour and education policies with the “next-work” world in mind: fewer long-tenure jobs, more fluid work.
- Expand infrastructure for remote work and digital connectivity across the state, especially rural regions.
- Support income-security initiatives, such as transitional support for workers in automating sectors, citizen-dividends or community enterprise funding.
- Elevate community/civic roles in policy discourse: many future contributions may lie outside traditional employment.
- Lead public dialogue on redefining “work”, “career”, “value” for the 21st-century Granite State.
5. Risks and unanswered questions specific to New Hampshire
- Timing and unevenness: Automation and AI will not affect all sectors or regions simultaneously. Some parts of NH may face disruption faster, others slower.
- Rural disadvantage: Smaller towns may lack the specialization or infrastructure to adapt quickly. The “small cities face greater impact” research is worth noting. (arXiv)
- Skills-training gap: If training and education don’t keep pace, many young people may be left behind by the shift to new kinds of work.
- Social safety net readiness: NH, like many states, may need to redesign social programs, benefits, and income supports for a world where traditional jobs are less reliable.
- Value-and-identity issues: If “work” no longer defines people the way it did, cultural shifts will be profound. How will communities in NH adapt to new norms of purpose and contribution?
6. Closing thoughts
The future of work in New Hampshire will likely not look like the past. For the next generation—growing up here in the Granite State—the notion of a stable, decades-long career may become increasingly rare. Yet this doesn’t mean a bleak future; rather, it means we must reimagine what work, contribution, value and livelihood look like.
We have three possible pathways for NH’s youth:
- Portfolio lives, where work is fluid, multi-modal and locally anchored.
- Human-ventured lives, where the human domain becomes prized and complemented by machines.
- Post-work lives, where income decoupled from traditional employment opens opportunities for exploration, creation and community.
Which path the state (and individuals) land on will depend on policy, education, infrastructure and community will. For Granite State Report readers: this is a call to think ahead, to build resilient systems, to prepare youth not just for jobs—but for value-creation in the age of machines.
