AI Will Let Anyone Shoot Their Own Movie
Key trends in how artificial intelligence is being used are coming into focus: new tools are helping treat patients and widening what’s possible in filmmaking. The next development wave is expected to center on broader access to AI solutions, better data quality, stronger infrastructure and security, and a clearer legal framework.
AI Use Gets a Close Read
HSE University’s Institute for Statistical Studies and Economics of Knowledge is running a large analytical study to measure how much AI is in demand across different sectors. Researchers have already surveyed representatives of more than 2,000 companies spanning 15 industries. The iFORA intelligent big data analytics system also processed more than 50 million documents about AI use, including large companies’ reports, expert assessments, and scientific research.
One of the most intriguing directions for AI adoption is the film industry. Even now, AI is taking on routine tasks such as drafting scripts, producing concept visuals, and improving image quality. But that is not the full story – neural networks are already moving into more complex territory, including the creation of digital doubles of well-known actors.
Pavel Peregudov, founder and producer of MyFilm48, an online competition for creating original video works with neural networks, argues that AI systems will soon be able to “shoot” full-fledged, high-quality films with almost no human involvement. In his view, AI will devise the script, build the dramatic structure, and generate video featuring digital copies of actors.
That would mean anyone could make a film with themselves on screen – because a neural network can place you in the frame. But traditional film production with professional teams is not going to disappear. AI is already absorbing the routine layer, and over time it is expected to do that work at a higher level, while the creative core remains with humans.
AI in Service of Government
AI is especially important for improving the efficiency of public services. One trend in AI deployment is the processing of citizen inquiries and the response to them.
“For a person, AI is becoming a partner and a personal assistant that helps you live and work. It knows the context of your life and your core habits, takes on routine tasks, watches over health, and helps with planning, learning, and professional development. In the economy, the main focus is on intelligent management systems, and for public services, client-centricity matters,” said Pavel Rudnik, deputy director of HSE University’s Institute for Statistical Studies and Economics of Knowledge.
AI for Science
Scientists are actively using AI in their work, and the level of adoption depends on the discipline. For example, it is most widely used in the natural sciences and in medicine. At the same time, researchers point to limits: in their view, AI cannot step outside existing paradigms to propose fundamentally new solutions to today’s scientific problems. That is why the scientific community’s main demand is to broaden AI use to cover routine work.
“Scientists’ main expectations for AI are linked to expanding its ability to automate routine tasks, systematize the literature, process data, and, of course, reduce the number of errors and hallucinations,” said Ekaterina Streltsova, director of the Center for Statistics and Monitoring of Science and Innovation at the institute.
Values and the Law
Experts emphasize that every AI output must be checked by a human. Alignment with cultural values and priorities in education and child development is especially important. AI is already being used heavily in education, which makes the ethical side – and the creation of a regulatory framework for generative technologies – an urgent task.
Alexander Danilin, director of the Competence Center for Industrial and General-Purpose Software at the Russian Foundation for the Development of Information Technologies, highlighted the importance of a sovereign ecosystem. In his view, foundational software and AI technologies should be developed on a Russian technology stack.
A Balanced Approach
Artificial intelligence has become a catalyst for systemic change across many areas of daily life. Almost everywhere, it takes over routine tasks, speeds up processes, boosts efficiency, and helps reduce time and financial costs.
AI is transforming the creative industries particularly visibly by changing how content is created and consumed. The text argues that Russian AI platforms for media creation can already become global products with export potential. It also says Russian generative AI products can take part in global ecosystems and compete with foreign counterparts.
At the same time, further AI development requires a balanced approach that combines advanced scientific research, the adaptation of business processes, the training of competent specialists, and workable legal rules.
