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However, this technological enthusiasm of Eastern developers directly contrasts with the skepticism that has been growing among the more conservative investors in the capital markets. A financial survey conducted by \u003Cstrong>Cerulli Associates\u003C\u002Fstrong> indicated that, in February of this year, only 38% of large financiers felt comfortable supporting and investing money in projects that heavily rely on artificial intelligence algorithms.\u003C\u002Fp>\u003Cp data-path-to-node=\"2\">The information revealed by the 2026 market study, with details previewed by the prestigious media outlet \u003Cstrong>Famitsu\u003C\u002Fstrong>, suggests that the Japanese development ecosystem underwent a radical transformation in a very short time. To get a clear idea of the leap in adoption, the annual survey conducted during the \u003Cstrong>Tokyo Game Show\u003C\u002Fstrong> in 2025 showed that half of the local producers used these tools. Now, the new report released by the \u003Cstrong>Japan Online Game Association\u003C\u002Fstrong> has confirmed that absolutely all online game developers interviewed have already integrated generative artificial intelligence into their daily software production routines. Large corporations in the sector, such as \u003Cstrong>Sony\u003C\u002Fstrong> and \u003Cstrong>Capcom\u003C\u002Fstrong>, have even publicly praised the gain in operational efficiency from these technologies, although they insist that the creative side and artistic soul of the works will remain under the exclusive control of human beings.\u003C\u002Fp>\u003Cblockquote data-path-to-node=\"3\">\u003Cp data-path-to-node=\"3,0\">It's quite understandable that the public fears a homogenization of the industry, as excessive standardization of analytical processes tends to result in generic titles lacking a unique personality.\u003C\u002Fp>\u003C\u002Fblockquote>\u003Cp data-path-to-node=\"4\">\u003Cbr>The first place in the popularity ranking among developers belongs to \u003Cstrong>Google Gemini\u003C\u002Fstrong>, used by a remarkable 94% of the studios surveyed.\u003C\u002Fp>\u003Cp data-path-to-node=\"4\">The silver medal goes to the \u003Cstrong>Claude\u003C\u002Fstrong> model, developed by the startup \u003Cstrong>Anthropic\u003C\u002Fstrong>, with an adoption rate of 84%.\u003C\u002Fp>\u003Cp data-path-to-node=\"4\">In third place is the programming assistant \u003Cstrong>GitHub Copilot\u003C\u002Fstrong>, owned by \u003Cstrong>Microsoft\u003C\u002Fstrong>, present in 76% of the development teams.\u003C\u002Fp>\u003Cp data-path-to-node=\"5\">The practical application of this data machinery, however, is not focused on generating textures, scripts, or sound compositions. 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Meanwhile, the public participating in the same survey expressed legitimate concern about possible violations of intellectual property and copyrights of independent artists, as well as fears that future games might lose their unique artistic identity and become excessively similar to each other due to the massive use of these standardized behavior analysis 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