The Granite State Workforce in 2025: Strengths, Shortages, and the Stakes Ahead Granite State Report — Special Briefing Executive Summary New Hampshire’s job market in 2025 is a paradox in motion: low unemployment and high labor-force participation sit alongside structural worker shortages in health care, skilled trades, and advanced manufacturing;…
Nurses at Concord Hospital in New Hampshire have unionized, marking a historic first for private hospitals in the state. This achievement, supported by SEA/SEIU Local 1984, aims to improve working conditions and patient care. The unionization reflects a national trend as healthcare workers seek better representation amid ongoing labor movements.
New Hampshire’s entrepreneurial landscape is evolving, bolstered by tax incentives and supportive institutions. In 2025, the state demonstrates a favorable environment for startups, with increased job creation from small businesses. Key organizations provide essential resources, while notable clusters in medtech and software innovation indicate a promising future for founders seeking growth.
New Hampshire’s economy in 2025 showcases low unemployment and high income levels but struggles with high housing costs and a tight labor market. Small businesses form 99% of enterprises, and sectors like manufacturing and tourism drive growth. Addressing housing, childcare affordability, and energy costs are crucial for future competitiveness.
The development of ethical AI is the responsibility of human programmers, encompassing a lifecycle approach from problem framing to monitoring incidents. Ethical considerations must guide data sourcing, modeling, and evaluations. Compliance with regulatory frameworks like the EU AI Act and NIST guidelines is essential to managing risks and ensuring public trust in AI products.
The rise of artificial intelligence (AI) is reshaping various aspects of life, prompting New Hampshire’s legislature to introduce regulatory measures. The debate centers on balancing innovation with rights protection. With public concern and industry pushback, clear policies on transparency, oversight, and risk classification are essential to navigate AI’s implications effectively.