Continuation of an overview by the Pitch Avatar team to help evaluate the level of AI-based tool adoption in the near future.
Note: In this text, the term “artificial intelligence” is used in its broadest sense. It refers to engineering and software solutions for tasks typically associated with human intelligence. In other words, these are programs and robots designed for physical and intellectual work that, until recently, could only be performed by humans. Looking ahead, we’re talking about solving problems that surpass the capabilities of human intelligence.
Programming
Modern AI solutions can already understand and analyze code, suggest structural improvements, and handle testing, debugging, and verification. Most notably, artificial intelligence is now capable of synthesizing and generating code. While AI is still far from matching the skills and expertise of human programmers, it handles simple and routine tasks quite effectively. Moreover, AI programmers are rapidly improving since this area is a key priority in AI development.
It’s easy to foresee a time in the near future when the majority of software will be created by AI. At that point, human specialists in programming will primarily focus on task formulation and refinement for AI – and, of course, on creativity. This shift is likely to mirror what happened in visual arts with the advent of photography: artists began to concentrate on exploring and realizing creative ideas, often with the help of new technical tools.
Examples of existing solutions: Testsigma, FavTutor, OpenAI Codex, Workik
Extended reality
The development and adoption of virtual and augmented reality technologies are progressing in tandem with advancements in artificial intelligence. AI contributes by creating more realistic, complex, and detailed environments. It manages digital characters, making their behavior and speech more natural, and processes human gestures and words, translating them into virtual reality. AI also designs highly intricate objects and their details.
Thanks to AI, extended reality is expected to become as ubiquitous and transformative as the internet in the foreseeable future. Billions of people will use it for work, entertainment, education, social interaction, and creativity.
Examples of existing solutions: Adobe Aero, Google ARCore, Apple ARKit, Vuforia Engine, Spark AR Studio, Hololink, Wikitude Augmented Reality SDK и, конечно, Pitch Avatar.
Space exploration
We saved the most futuristic domain for last – space exploration – as a sort of epilogue.
One of the main goals of AI and robotics developers is to enable humanity to operate in environments that are hazardous or entirely uninhabitable for humans. From this perspective, space exploration is among the most promising fields for deploying AI-driven robots and equipment. In fact, unmanned exploration of space and extraterrestrial objects has already become humanity’s primary strategy.
Humans have yet to travel beyond the Moon, but unmanned systems have been successfully exploring planets, moons, asteroids, comets, and deep space for decades. For example, Mars has been studied by landers and rovers for years, even though no human has ever set foot there. An even greater achievement has been reaching the boundaries of the solar system with the “Pioneer” and “Voyager” spacecraft.
The use of robots and unmanned systems in space is advantageous in terms of human safety. These systems can undertake missions to places that are difficult – or outright impossible – for humans to reach, as well as tasks that exceed human lifespans.
However, current space robots, whether they are automated stations or rovers, have significant limitations – they’re too “dumb,” to put it bluntly. They can’t analyze situations, adapt strategies based on new data, or even maintain and repair themselves. This often results in the loss of equipment due to minor malfunctions.
As AI advances, this will change. We’ll see more AI-driven space robots capable of adaptive and autonomous operation. These may include complex automated “settlements” and spacecraft equipped with a suite of robots for various functions, including maintenance and repair. Such systems could conduct economic and scientific activities in space without requiring human crews. They could build and maintain satellites, operate space-based power stations, mine resources in space, terraform planets for colonization, and, of course, explore the universe.
Will this mean that humans stop traveling to space? Of course not. But AI managing robotic systems will “clear the way,” making space travel safer and more efficient for us.
In summary, artificial intelligence is simply another technology invented by humans. No matter how influential it becomes or how many areas of life it touches, it’s no more fearsome than the wheel, the steam engine, or the internet. Our task is to set aside emotions and, using our natural intelligence, recognize the opportunities AI offers and learn to use it as effectively as possible.
Best of luck and success to all!
