AI Eng

Marketing has gone through a huge evolutionary path over the millennia of its existence — from the simplest forms of communication to modern high-tech ecosystems. Along with the industry, the working tools of specialists have also transformed. The key motivation for this development has always been the desire for maximum efficiency of results. At the same time, the need to reduce the time for performing routine operations is growing — in conditions of fierce competition and a large volume of tasks, marketers simply cannot afford to manually perform all processes.

The world is changing much faster than your imagination can prepare for it. And the main driver of change is artificial intelligence. I’ll start from afar. I am an active user of AI models. I constantly use about 10 models, in my portfolio there are already under 30. The average number of requests to different models per day reaches hundreds. The average monthly amount for paid AI models reaches $500. And as an active user, I am amazed by the dynamics of AI model development and the speed and depth of expanding AI capabilities. I became curious about how the current dynamics would change the demand for chips and energy consumption while maintaining the current dynamics of AI development. The result amazed me.

Companies that rushed to replace human labor with artificial intelligence are now forced to spend a lot of money to have people correct mistakes made by AI.