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If you\u2019re thinking about starting a company in 2026, consider building in one of these areas. <\/p>\n
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With the rise of vibe coding<\/a>, more people than ever are spinning up startups overnight. In 2024 alone, The U.S. Chamber of Commerce<\/a> saw 5.2 million new business applications\u2014a 49% increase since 2019. At the same time, AI tools have dramatically lowered the barrier to entrepreneurship. A report<\/a> from the U.S. Chamber of Commerce showed that by mid-2025, 58% of U.S. small businesses reported using AI, more than double the share from 2023.<\/p>\n Entrepreneurship is likely one of the most relevant careers of the future, especially as traditional white-collar roles shrink<\/a> under the very AI systems fueling this boom. But many of today\u2019s new ventures are agentic wrappers around the same foundational models, solving convenience problems rather than addressing the structural challenges shaping our society.<\/p>\n If you\u2019re thinking about starting a company in 2026, consider building in one of the following areas\u2014places where entrepreneurs can create true painkillers, not just another vitamin.<\/p>\n Lead The Way In The Great Workforce Reskilling <\/p>\n Tech layoffs have hit record levels in 2025, with October yielding the largest U.S. job reduction in over 20 years according to a Challenger report<\/a>. Many of these displaced workers remain unemployed for months or even years as applicant pools massively outnumber available roles in fields like design, software, marketing and administrative work. <\/p>\n Meanwhile, the skilled trades, such as electricians, HVAC technicians, plumbers and carpenters, face a looming labor shortage<\/a>. Much of the workforce is nearing retirement, and the boom in data centers and AI infrastructure is accelerating demand. There are already 400,000 unfilled skilled trade jobs in the U.S., and that is expected to rise to 2 million by 2033, according to a report<\/a> by The Manufacturing Institute and Deloitte. <\/p>\n This gap creates one of the biggest business opportunities of the decade: helping people pivot from shrinking industries into resilient, AI-proof careers. The trades provide stability, living wages, and hands-on work that algorithms will have a difficult time replacing. They\u2019re also overwhelmingly male, with men making up over 95% of employees in construction occupations, according to the Institute for Women\u2019s Policy Research<\/a>. There is massive untapped potential in training and supporting women in these fields.<\/p>\n Startups can play a vital role by building systems that make these transitions realistic and accessible. Potential solutions include:<\/p>\n Gender-inclusive pre-apprenticeship programsVR-based technical trainingJob placement marketplaces for mid-career changersWraparound services that support people through the transition, such as transportation, childcare, and community infrastructure <\/p>\n Without efforts to move workers across sectors, we risk a dual crisis of unemployment and unfilled essential roles.<\/p>\n Prevent Scams By Verifying Reality <\/p>\n Deepfakes<\/a>, cloned identities and AI-generated content are becoming nearly indistinguishable from the real thing. Social media personas are routinely spoofed, personalized spear-phishing<\/a> is escalating, and the average person can no longer rely on their eyes or ears to verify truth.<\/p>\n This growing confusion has profound implications for trust, safety, and security. Startups focused on \u201cproof of realness\u201d will play a crucial role in the next decade. Ideas include platforms that:<\/p>\n Require in-person authentication for connecting with and \u201ctagging\u201d people, to avoid profile spoofing Only allow photos or videos captured directly in-app, to avoid AI-generated media Track content provenance with blockchain-based trails, to verify its originsOnly allow direct typing of text, to reduce the amount of AI-generated writing <\/p>\n Creating a new social or content platform is a massive undertaking, but a company that becomes the de facto source of reality \u2014 even for a narrow use case \u2014 will be indispensable.<\/p>\n Create Supply Chain Resilience <\/p>\n Recent disruptions revealed how fragile and expensive global supply chains have become. Between geopolitical instability, pandemic aftershocks, and new tariff laws, companies are increasingly localizing their production.<\/p>\n In 2024, U.S. companies announced 244,000 manufacturing jobs due to reshoring, according to a Reshoring Initiative report<\/a>. Tariffs drove much of this shift, being cited as a motivator 454% more often in 2025 than in 2024. Even with these reshoring efforts, supply chain bottlenecks persist: by late 2024, delivery times for raw materials were still 25% longer<\/a> than pre-pandemic.<\/p>\n According to Tjaard Zwaagstra, founder and principal partner of GlobalChain Consulting<\/a>, component manufacturing is the largest bottleneck to reshoring. \u201cRare-earth materials and many electronic, electromechanical, plastic, metal, and optical components and sub-assemblies are predominantly manufactured in China and imported with tariffs in the 10-50% range,\u201d Zwaagstra shared. \u201cMany critical raw materials and final assembly capabilities are available locally, but without those components and sub-assemblies, total costs are often still prohibitive.\u201d<\/p>\n These supply chain barriers open the door for companies that enable:<\/p>\n Hyper-local manufacturing and micro-factories, particularly for components and subassembliesCommunity makerspaces for prototyping and small-batch productionCircular business models like rental, secondhand and upcyclingAI-powered tools that help small businesses forecast shortages or mitigate delays<\/p>\n With supply chain resilience becoming more of a competitive advantage, companies that make it easier and more affordable for businesses to localize or de-risk their manufacturing will have staying power.<\/p>\n Foster Human-AI Collaboration<\/p>\n AI adoption has already skyrocketed in the workplace. According to Stanford\u2019s 2025 AI Index<\/a>, 78% of organizations reported using AI in 2024, up from 55% the year prior. As agentic AI becomes ubiquitous and automation fatigue sets in, the next challenge involves helping people partner with AI in ways that preserve creativity, judgment and meaning<\/a>. <\/p>\n