According to a recent LinkedIn post from Sett, the company is drawing attention to how large language models could accelerate copying and iteration in the games industry. The post references commentary by Jonathan Fishman, suggesting that studios may see the window of exclusivity for new game ideas shrink significantly as LLMs and fast-moving teams reshape competition.
The post highlights three capabilities as critical differentiators in this environment: game quality, continuous data-driven feedback loops from the market, and robust distribution systems. It further suggests that successful studios may be those that can rapidly generate creative hypotheses, scale production, and use user acquisition performance data to refine both product and marketing.
For investors, the post implies a potential shift toward winner-takes-more dynamics in mobile and online gaming as content cycles compress and UA auctions become more crowded. Companies that build strong analytics infrastructure, leverage automation, and secure advantaged distribution channels could gain share, while slower incumbents may face margin pressure and higher user acquisition costs.
The commentary also hints that studios treating games as part of a broader system—integrating production, testing, and UA optimization—may be better positioned for sustainable growth. If Sett is aligning its own strategy around these principles, this could indicate a focus on scalability and operational efficiency in an increasingly competitive games market.