Blab AI
AIs Next Frontier: How Emerging AGI Could Reshape Graphic Design in Bangladesh
Imagine a future where a single AI can ingest a company’s budget, target audience and objectives and, in minutes, deliver a complete brand identity—logo, colour palette, typography and guidelines—ready for launch.
Associate Professor Al Monjur Elahi of Jatiya Kabi Kazi Nazrul Islam University argues that today’s popular generative tools—ChatGPT, Midjourney, DALL‑E—are only scratching the surface of what artificial intelligence can achieve. These narrow AI systems excel at a single task, such as turning text prompts into images, but they lack the broader understanding that would allow them to adapt across domains.
The distinction is clear. Midjourney can produce intricate images from a description, yet it cannot grasp the subtleties of a brand’s voice or visual strategy. In contrast, an Artificial General Intelligence (AGI) would possess a form of “common sense” that enables it to learn, adapt and apply knowledge across fields, much like a human who can cook, drive and master a new language all at once.
The influence of narrow AI on visual production is already measurable. Between 2022 and 2023, roughly 15 billion images were generated worldwide using text‑to‑image algorithms, averaging more than 34 million images per day. A survey cited in Elahi’s analysis found that about 83 percent of visual creators and designers already incorporate AI tools into their workflow.
Should AGI arrive, Elahi suggests it could automate the entire branding process. A single system could evaluate a company’s parameters and produce a cohesive identity in minutes, then monitor social‑media performance in real time, tweaking layouts and copy to optimise engagement without human intervention.
In Bangladesh, designers and agencies are currently using AI at a basic level, often limited to template customization or simple logo creation. The article notes that the country’s higher‑education curriculum has yet to formally integrate AI concepts, and many students exhibit a reluctance toward foundational learning. This gap, the author argues, may hinder the profession’s ability to adapt to the forthcoming AGI era.
The shift toward AGI is expected to reduce demand for repetitive, low‑skill design work. Entry‑level designers who rely on template editing or basic banner creation are already seeing a contraction in market share, as AI can produce similar outputs at a lower cost. Freelance platforms have become increasingly competitive, with aggressive underpricing becoming the norm. At the same time, the proliferation of AI‑generated visuals on social media often results in designs that lack narrative depth, emotional nuance, or cultural relevance.
Elahi stresses that AI cannot yet fully grasp human emotion, cultural sensitivity, or long‑term strategic thinking. Consequently, designers who focus on creativity, experimentation, and theoretical knowledge—such as colour psychology, consumer behaviour, and human‑computer interaction—will retain value. Mastery of emerging technologies, including AR, VR, and 3D modelling, is also recommended.
In summary, while narrow AI has already altered the design workflow, the advent of AGI could further automate many core tasks, potentially reshaping the profession’s skill requirements. The current situation in Bangladesh reflects a broader global trend: designers must evolve from craft‑based roles to strategic, multidisciplinary positions. Upcoming developments in AGI research, regulatory discussions, and educational reforms will determine how quickly the industry can adapt.
Associate Professor Al Monjur Elahi of Jatiya Kabi Kazi Nazrul Islam University argues that today’s popular generative tools—ChatGPT, Midjourney, DALL‑E—are only scratching the surface of what artificial intelligence can achieve. These narrow AI systems excel at a single task, such as turning text prompts into images, but they lack the broader understanding that would allow them to adapt across domains.
The distinction is clear. Midjourney can produce intricate images from a description, yet it cannot grasp the subtleties of a brand’s voice or visual strategy. In contrast, an Artificial General Intelligence (AGI) would possess a form of “common sense” that enables it to learn, adapt and apply knowledge across fields, much like a human who can cook, drive and master a new language all at once.
The influence of narrow AI on visual production is already measurable. Between 2022 and 2023, roughly 15 billion images were generated worldwide using text‑to‑image algorithms, averaging more than 34 million images per day. A survey cited in Elahi’s analysis found that about 83 percent of visual creators and designers already incorporate AI tools into their workflow.
Should AGI arrive, Elahi suggests it could automate the entire branding process. A single system could evaluate a company’s parameters and produce a cohesive identity in minutes, then monitor social‑media performance in real time, tweaking layouts and copy to optimise engagement without human intervention.
In Bangladesh, designers and agencies are currently using AI at a basic level, often limited to template customization or simple logo creation. The article notes that the country’s higher‑education curriculum has yet to formally integrate AI concepts, and many students exhibit a reluctance toward foundational learning. This gap, the author argues, may hinder the profession’s ability to adapt to the forthcoming AGI era.
The shift toward AGI is expected to reduce demand for repetitive, low‑skill design work. Entry‑level designers who rely on template editing or basic banner creation are already seeing a contraction in market share, as AI can produce similar outputs at a lower cost. Freelance platforms have become increasingly competitive, with aggressive underpricing becoming the norm. At the same time, the proliferation of AI‑generated visuals on social media often results in designs that lack narrative depth, emotional nuance, or cultural relevance.
Elahi stresses that AI cannot yet fully grasp human emotion, cultural sensitivity, or long‑term strategic thinking. Consequently, designers who focus on creativity, experimentation, and theoretical knowledge—such as colour psychology, consumer behaviour, and human‑computer interaction—will retain value. Mastery of emerging technologies, including AR, VR, and 3D modelling, is also recommended.
In summary, while narrow AI has already altered the design workflow, the advent of AGI could further automate many core tasks, potentially reshaping the profession’s skill requirements. The current situation in Bangladesh reflects a broader global trend: designers must evolve from craft‑based roles to strategic, multidisciplinary positions. Upcoming developments in AGI research, regulatory discussions, and educational reforms will determine how quickly the industry can adapt.
