AI adoption reshapes profit models in search and retail
The AI race is changing customer interfaces and revenue structures in existing businesses, not just driving greater investment in data centers and semiconductors. If users turn to generative AI instead of search engines, search ad exposure and revenue could fall. If AI agents compare products and make purchases on users’ behalf, traffic and sales at existing online retail platforms could also be affected.
Google has relied on cash generated by search and YouTube advertising to fund AI investment, but that foundation could weaken if users shift to Gemini, ChatGPT, Claude and other services. Even as the number of AI service users grows, it remains uncertain whether Google can monetize that growth as quickly as it does its existing advertising business.
Amazon, too, could lose its position as consumers’ first stop if AI agents compare multiple sellers and find cheaper products. Amazon’s move to restrict external access to its AI services was interpreted as an effort to defend its existing retail business. The company is seen as being in a transition period in which delaying AI investment could weaken its competitiveness, while increasing investment would add to its cash burden.
Rising demand for server memory from AI data-center investment is reshaping supply and could put upward pressure on prices and weigh on demand in the consumer memory and PC markets. Markets are also scrutinizing more closely whether AI investment is translating into actual returns. Investors are entering a phase in which they need to assess profitability by data center, customer numbers, investment costs and financing capacity.