The expectation that all sacrifices should be made by women finds its roots in societal norms and historical gender roles. In the past, men were considered as breadwinners and decision-takers in patriarchal societies while women held domestic chores and caring roles for their families. By promoting this idea, the division has supported the notion that women are naturally home makers who should abandon their careers, personal ambitions or even health to cater for their husbands and children. Cultural narratives, media representations, traditional values have no doubt upheld these roles making it extremely hard for female members to shrug off such expectations without some form of condemnation from the society or within her family. These deeply entrenched stereotypes continue to influence attitudes and actions despite strides towards gender equality thus creating serious impediments towards real gender parity in both personal and professional lives of women. To correct this problem will mean working together to challenge and transform such outmoded expectations so as to encourage more balanced sharing of duties between males and females

Indian education system with the rise of AI faces one major obstacle, bridging the digital divide and ensuring that their is fair access to AI supported educational tools and resources. Another problem for artificial intelligence use in education is unequal open access to technology and internet between cities and countryside. For example, in some rural areas and disadvantaged places, learners may have no infrastructure, gadgets or digital skills that would help them prepare for AI-driven learning tools. Furthermore, teachers need training on how to incorporate AI into their curriculum while teaching. It consequently implies the need for comprehensive teacher training initiatives as well as continuous professional development. Additionally, ethical concerns about data privacy should also be addressed so that students are not deprived of their rights through discriminatory algorithmic decision-making (AiDM) systems based on race or other factors. Therefore, it calls for both comprehensive induction programs as well as ongoing professional development courses too.

Productivity, precision and innovativeness are the driving forces behind this AI revolution that will characterize the future. These advances portend an AI-driven future in multiple industries in the near term. Since it processes large volumes of information, this automated system can identify trends and make uniquely accurate forecasts on health care industry. In banking industry, artificial intelligence will encompass complex algorithms and machine learning models that will improve fraud detection, automate trading as well as personalizing user experiences. Artificial intelligence will also be used for predictive maintenance and automation to minimize downtime while enhancing efficiency in manufacturing processes. Similarly, artificial intelligence can be helpful in creating self-driving cars, smart cities or environmental monitoring for sustainable development goals. On the same note, teaching machines enabling deep insights from big data may support decision makers within businesses or schools concerning everyday lives though unfamiliar concepts such as predicting maintenance needs using advanced analytics.