In 2022, the field of Artificial Intelligence (AI) is expected to face challenges such as increased fairness and bias issues in AI systems, a need for better ML observability, and a rising demand for citizen data scientists. However, there are also opportunities for growth, including the adoption of ML monitoring and observability solutions, an increase in specialized ML infrastructure tools, and a potential talent crunch that could drive innovation in educational and job opportunities. To navigate these changes effectively, it is crucial to focus on making the industry more fair, inclusive, diverse, and transparent.