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Startups win because staff are aligned
In a five-person startup where each person holds a twenty percent share, everyone wants the company to succeed. In a company of ten thousand, more people turn territorial, chase headcount for their project or team, build fiefdoms, and gather resources so they can publish cool work and get promoted. That misalignment is a real detriment, and it explains much of why startups disrupt incumbents.
AI helps startups, since one person can now step in and try to build a multimillion-dollar company. It could help incumbents even more. If the alignment problem is solved, ten thousand AI agents can be aligned to the company's interest and work as hard as a co-founder holding a twenty percent share.
Startups also take more risks, which is the other factor in why they win.
Why do big companies struggle to stay innovative?
Clayton Christensen, a Harvard Business School professor, laid out the pattern in his 1997 book The Innovator's Dilemma. Established firms listen closely to their best customers and invest in improving existing products. Smaller entrants start with cheaper, simpler offerings that incumbents ignore, then move upmarket. Christensen coined the term disruptive innovation for this sequence.
How does ownership change how employees behave?
Economists Michael Jensen and William Meckling described the underlying problem in a 1976 paper on agency costs. When the people running a firm do not own it, their interests can drift from the owners', and monitoring them is costly. Giving workers equity ties their payoff to the firm's outcome. The paper remains among the most cited in corporate finance.
Why do people work less in larger groups?
In the 1880s, French engineer Max Ringelmann had men pull on a rope alone and in groups, and found that each person pulled less as the group grew. In 1979, psychologists Bibb Latané, Kipling Williams, and Stephen Harkins named the pattern social loafing. They found people clapped and shouted less loudly when they believed others were also making noise. A 1993 meta-analysis by Steven Karau and Kipling Williams found the effect across many kinds of tasks.
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