Managing Tech Companies Follows Different Rules and AI Sharpens Them

INSEAD argues that technology companies now operate according to a different logic from traditional businesses, and that generative AI is strengthening that difference. The reasons include near-zero marginal software costs, extremely rapid experimentation, and less reliance on classic hierarchy. For management, this means old methods cannot simply be carried over into a new sector. Leaders need to change the assumptions behind planning, delegation, and performance evaluation. The article becomes especially useful when it turns to examples. It notes that OpenAI launched GPT-4o in May 2024 on the same day Google held its annual product event, showing how strategically timing matters in tech. Even sharper is the DeepSeek example. According to the text, DeepSeek’s V3 model cost about $6 million to train in late 2024, while major US players were spending hundreds of millions or even billions. That shifts the discussion from absolute spending to capital efficiency and real advantage. The authors also stress that in technology settings, autonomy, meaningful work, and continuous learning matter more than in many conventional organizations. A manager is no longer merely a distributor of tasks. The job is increasingly to design the framework in which teams can organize themselves while maintaining direction and accountability. That lesson already extends beyond the pure tech sector because AI is carrying the same logic into industry, services, and product development. The section on regulation is particularly strong. INSEAD notes that Europe is pursuing preventive, risk-based rules including the AI Act, while other jurisdictions remain looser or follow more geopolitically driven models. Companies therefore face abrupt shifts in rules that can quickly alter the economics of an industry. It is no longer enough to be technically fast. Firms also need to distinguish real innovation from hype and maintain an ethical stance that can be defended publicly. The article has implications well beyond software companies. As organizations adopt digital twins, continuous integration, or agentic tools, they increasingly come under the same forces that shape tech businesses. Shorter cycles, sharper competition for talent, and greater sensitivity to regulation are becoming broader features of modern management. In 2026, having a technology strategy is not enough. Companies also need a management strategy for a world in which change is faster, work is more autonomous, and mistakes are more expensive.

Managing Tech Companies Follows Different Rules and AI Sharpens Them

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