AI Users Are Rapidly Shifting Toward Cheaper Models

Shifting Dynamics in the AI Market

According to НВ — Техно: On June 10, 2026, TechCrunch reported a notable change in artificial intelligence market trends. Rising costs are driving users to adopt smaller, more affordable models, which could reduce revenues for major labs like OpenAI and Anthropic and slow demand for expensive computing resources.

Gabe Pereira, co-founder of Harvey, emphasized that

“quality remains the top priority, especially in the legal sector”

. Along with his team at Harvey and Fireworks AI, he conducted tests combining Claude Opus and GLM 5.1 models, cutting computing costs by two-thirds without sacrificing quality. Brian Armstrong, also a Harvey co-founder, predicted that

“within the next 12 to 18 months, around 80% of tasks will be handled by models that are 99% cheaper”

. This means only 20% of tasks would rely on cutting-edge models like GPT-5.5 and DeepSeek V4 Flash.

Evolution of Consumer Preferences

These AI market shifts are unfolding amid price competition between major labs and open-model providers. Previously, most companies opted for the most powerful available models, expecting better performance. Now, the key divide is between large and small models, with model size-not distribution method-becoming the main cost-saving factor. Rising token prices and reduced subsidies are also influencing user choices.

If it turns out that most tasks can be performed using smaller models without quality loss, this could significantly slow the growth in demand for expensive computing.

These changes in the artificial intelligence market reflect an evolution in consumer preferences, where cost efficiency is beginning to outweigh technological power. Lower computing costs may open new opportunities for small businesses and startups that previously could not afford expensive models. In turn, this could increase competition among model providers, ultimately benefiting end users.

As the AI market adapts to shifting user preferences, the financial implications for major players are becoming evident. Companies like Amazon, Uber, and OpenAI are feeling the pressure of rising costs, prompting them to reassess their strategies. To understand how these budget strains are influencing the industry and the potential impact on future AI developments, explore our analysis on budget challenges faced by tech giants.