Creating an AI influencer now requires more than a static avatar; audiences expect natural speech, consistent appearance across videos, and platform-native content for TikTok, Instagram Reels, and YouTube Shorts. The strategy involves treating AI influencers as real content creators with a defined personality, visual identity, and content style, enabling the production of weeks of social media videos without filming. This approach is popular because traditional filming is time-consuming and expensive, while a single digital creator can be reused across dozens of videos for faster production. The biggest advantage is consistency, as the same creator can appear daily without filming schedules or travel. However, AI-based production does not eliminate environmental impacts; generative AI workloads run in data centres, whose electricity consumption is rising rapidly. The International Energy Agency estimates that global data-centre electricity use reached about 415 TWh in 2024 and could reach around 945 TWh by 2030, with AI an important driver. The environmental balance depends on both avoided physical production and the computing required. The process begins by building the influencer before creating videos, starting with a simple profile including name, age, personality, niche, target audience, clothing style, speaking style, and posting style. An example profile is Emma, a 26-year-old beauty and skincare creator who is friendly and confident with a minimalist fashion style, creating short product reviews and daily routines. The workflow is often kept within one platform, such as Loova.