Entrepreneur and Startup Founder

AI Impact Assessment

Some tasks in this career are being augmented by AI, but the core work still requires significant human judgement and skill.

Methodology: Anthropic's March 2026 research into real-world AI task adoption across occupations.

Resilient with Growing AI Support

A degree is not a prerequisite for founding a company, and the most honest advice is that your network, portfolio, and track record will matter more than your certificate to investors. That said, degrees in computer science, engineering, economics, or a specialist domain give you genuine technical credibility and problem-spotting ability in a specific industry. Business and entrepreneurship degrees have value mainly for the contacts and structured exposure to finance and operations they provide. If you are choosing a degree with founding in mind, pick one that makes you a genuine expert in a problem worth solving, not one that teaches you generically how to be entrepreneurial.

Over the next five years, AI tools will act as a virtual co-founder for early-stage work, handling code prototyping, market research, legal document drafts, and customer support at near-zero cost. This lowers the capital needed to validate an idea dramatically, which is a genuine advantage for young founders with more time than money. The flip side is that your competitors have access to the same tools, so speed alone is no longer a moat. Founders who win will be those who use AI to learn faster and stay closer to real customers, not those who simply use it to produce more output.

Within a decade, entire startup categories that once required teams of 20 to 50 people may be viable with teams of three to five, fundamentally changing how venture capital evaluates deals and what scalable looks like. AI agents will likely handle customer onboarding, basic sales outreach, and routine operations, meaning founders will spend less time building process and more time on strategy, partnerships, and fundraising. Industries requiring regulatory navigation, physical infrastructure, or deep community trust will still demand human-led companies. The founders who thrive will be those who understand which parts of their business AI can own and which parts require their irreplaceable presence.

In twenty years, the concept of a startup itself may look different, with AI systems capable of autonomously identifying market opportunities and deploying solutions with minimal human direction. Human founders will likely concentrate on ventures where legitimacy, accountability, creativity, and relationships are the product itself, such as community platforms, physical world businesses, regulated industries, and anything requiring public trust. The route from idea to revenue will be faster and cheaper than ever, but the ceiling on what makes a sustainably valuable business will rise, rewarding founders with genuine insight rather than execution speed. This is a world where having something real to say matters more than the ability to build quickly.

Develop deep domain expertise first

The most durable founders build companies in industries they understand at a level most people do not. Use your degree years to become genuinely knowledgeable in a specific sector, whether that is healthcare, climate tech, education, or advanced manufacturing. AI can help you research a market, but it cannot replicate the earned intuition of someone who has worked inside a problem.

Learn to direct AI, not just use it

There is a meaningful difference between a founder who prompts an AI tool and one who understands how to architect systems using AI agents, APIs, and automation to build defensible products. You do not need to be a software engineer, but you do need enough technical literacy to evaluate what is possible and what is genuinely differentiated. Courses in product management, systems thinking, and no-code or low-code development will pay off disproportionately.

Build your network before you need it

Investors, co-founders, early customers, and mentors are still found through trust and relationships, which AI cannot manufacture for you. Use university to work on real projects, join societies, attend industry events, and find people who are already building things. A warm introduction from a credible person will matter in 2035 just as much as it does today.

Prioritise problems with human or physical complexity

Startups building purely digital, easily replicated products will face intense competition from AI-generated alternatives within this decade. Look for problems that involve regulatory complexity, physical world integration, community building, or deeply personal human needs, areas where trust and presence cannot be automated away. The more your business depends on human relationships and real-world constraints, the more durable your competitive position becomes.