The science of Artificial Intelligence and Machine Learning is a complete paradigm shift when it is compared with traditional approaches to modeling physics and engineering problem-solving. Paradigm shifts in science have examples of Copernican Paradigm in the 16th century, Newtonian Paradigm in the 19th century, and Einsteinian Paradigm in the 20th century. Artificial Intelligence and Machine Learning in the 21st-century version of science and technology. The talk will address the advancements and breakthroughs in Artificial Intelligence and Machine Learning domain which led to a paradigm shift in the way the industry is approaching and solving challenging engineering problems. These technologies, together with the availability of large volumes of data and significant computational capabilities have rapidly changed the landscape for every aspect of the oil and gas industry. The talk will also address the impact of this shift on the new generation of engineers and scientists and their new normal operating environments.