Marina Lyubimova
⬤ Recent analysis from J.P. Morgan shows that AI model costs have plummeted dramatically over the past two years. The price-performance ratio has improved so significantly that cost efficiency—not just raw capability—is now driving AI's expansion into mainstream business applications. This dramatic price drop is making advanced AI tools accessible to organizations that previously couldn't justify the expense.
⬤ The data reveals striking cost decreases across major AI models. GPT-4 cost $37.50 per million tokens when it launched in March 2023, while newer models like Grok 4 run at just $0.14 per million tokens as of September 2025. What makes this even more remarkable is that these cheaper models aren't sacrificing quality—they're actually delivering better accuracy and faster processing speeds. Technologies like geometry selection modules and parallel subnets are pushing performance higher while keeping costs low.
⬤ This affordability breakthrough is opening doors across healthcare, finance, retail, and logistics. Companies that hesitated due to budget constraints can now integrate AI into their daily operations. The technology that once seemed like a luxury reserved for tech giants is becoming a practical tool for businesses of all sizes, accelerating automation and enhancing decision-making processes.
⬤ J.P. Morgan's findings point to a fundamental shift in how businesses can approach AI. As costs continue falling while capabilities rise, we're likely seeing the beginning of true mass adoption. Industries worldwide now have the opportunity to leverage sophisticated AI solutions that were financially out of reach just a couple years ago.
Marina Lyubimova
