Here are some white-collar jobs and skills that are likely to remain viable even as AI becomes more advanced:

- **Jobs requiring creativity and human interaction**: Things like marketing, design, nursing, teaching, etc. that rely heavily on human interaction, emotional intelligence, and creativity are less at risk of automation. Skills to focus on include complex problem-solving, social perceptiveness, creativity, etc.

- **Jobs requiring management and leadership**: While some managerial tasks may be automated, human managers will still be needed to provide a vision, motivate and inspire teams, and handle people issues. Skills to develop include leadership, complex decision making, judgment and decision making, etc.

- **Jobs in data science and AI**: As AI and automation advance, so will the demand for data scientists, AI engineers, and machine learning specialists to build, monitor, and continually improve the AI systems. Skills to learn include statistics, data analysis, machine learning, programming, etc.

- **Technically specialized jobs**: There will be a continued demand for certain technical jobs like software engineering that require highly specialized knowledge. Skills to have include proficiency in in-demand technical domains and programming/coding skills.

For employers, this means:

- **Focusing on human skills that AI struggles with**: Things like creativity, collaboration, empathy, and complex problem solving.

- **Continuous retraining of workers**: As AI automates some tasks, employers will need to provide opportunities for retraining and acquiring new skills that are complementary to AI rather than competing with it.

- **Working with AI, not against it**: AI will be a tool to augment human workers, not replace them. Employers will need to learn how to effectively integrate AI and human skills. The key will be finding the right balance of technical skills and human skills for each role and task.
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