The entry of artificial intelligence into people’s professional lives is no longer a thing of the future—it is now an inevitable reality in every field, from scientific research and industrial production to healthcare and administrative decisions. Recent studies show that by 2025, around 40% of jobs worldwide will involve AI assistance in some form, and approximately 300 million jobs are at risk of partial or full automation (Goldman Sachs, 2024). At the heart of this change, one phrase is often heard—“AI won’t replace you; rather, someone who knows how to use AI will replace you.” However frightening this line may sound, for researchers and scholars it is actually an invitation to acquire new capabilities.
Bangladesh’s research environment is also rapidly changing. Where previously data collection, lab note analysis, or literature review were heavily dependent on human labor, now the use of generative AI models has reduced the time required for literature reviews, analysis, and hypothesis generation by up to 70%, according to a report by Nature (2024). However, one thing is very clear: while AI helps accomplish tasks faster, the nature of research, capacity for questioning, ethics, and decision-making remain firmly in human hands.
We know that no machine can occupy the place of human creativity, imagination, or scientific intuition. Yet the wave of change is real. In repetitive tasks—like data coding, data cleaning, identifying trends in large datasets, or drafting preliminary reports—AI is now several times faster than humans. McKinsey (2023) has shown that the contribution of AI automation to saving time in research and development (R&D) is increasing by 15–20% annually.
This raises a question—does this mean researchers will lose their jobs? The reality is just the opposite. Where machines handle the monotonous work, humans are advancing into more complex, high-quality, creative, and decision-driven tasks. Take drug discovery as an example. AI can analyze millions of compounds and suggest potential candidates in hours, but it’s people who validate those results, design the experiments, and evaluate ethical concerns. Thus, machines are collaborators, not competitors, of humans.
This presents a special opportunity for Bangladesh’s research community. Currently, Bangladesh has only 252 researchers per million people, compared to 7,143 in South Korea (UNESCO, 2023). This means Bangladeshi researchers face higher workloads, limited resources, and greater time pressure. Here, AI assistance can double or even triple research productivity. For instance, where analyzing large datasets once took weeks, now the same work can be completed in just hours.
In fields like teaching, healthcare, or policy-making, human emotion, empathy, and moral judgment remain irreplaceable. The trust a doctor has for a patient, or a teacher’s ability to detect a student’s confusion—these are beyond the reach of any algorithm. Therefore, the role of humans in service-oriented professions will never diminish. Even in research, human insight, creativity, and theoretical understanding remain impossible for machines to replicate.
The spread of AI is also creating new fields. The number of new jobs related to AI-driven research worldwide is growing by about 22% each year (LinkedIn Future of Jobs Report, 2025). Positions like data scientist, AI-assisted researcher, and scientific computing specialist are expanding rapidly. In other words, while some roles are diminishing, the demand for new skills is growing just as quickly.
Still, many young researchers and PhD students understandably ask—amidst this wave of automation and AI, what is the future of my career as a researcher? The answer is simple—if you learn to use AI, it won’t replace you; rather, it will multiply your abilities many times over. But if you lag behind, it is then that AI-empowered individuals may replace you.
Analyses by Goldman Sachs and the OECD show that the researchers of the future will outpace others in three core skills: curiosity, learning ability, and analytical skills. AI can write code, organize your literature, and even create a draft of a grant proposal; but only humans can sense which research questions are truly valuable.
In today’s research environment, knowing ChatGPT, Google Co-Pilot, or generative AI is akin to literacy for a new era. Rather than fearing these tools, we should view them as instruments to enhance our work. Just as using computers was once a special skill and is now a basic human habit—so too will AI become a new standard.
Finally, as researchers, we must remember—technology never comes to take people’s place; it comes to multiply human potential manyfold. The history of scientific pursuit shows that whenever people learned to control new tools, new doors of knowledge opened up. So accepting artificial intelligence as a collaborator, not a competitor, will be the foundation of the research economy of the future.
The laboratory of tomorrow will be a shared workspace for humans and AI—where the computational power of machines and human creativity together will produce new knowledge and innovation. And at the heart of this transformation will be those researchers who have learned to make AI a part of their capability.
Leave a comment