Emerging Tech Careers Beyond Coding: UX, AI, and Data
By Lydia C.
While coding will continue to remain an important “second language” to help us thrive across all careers, advance in AI automation is making “straight coding” careers less essential. Instead, new AI developments have opened new needs, and therefore new career opportunities.
These emerging needs require new interdisciplinary strengths, critical thinking and innovation that are less likely to be automated, complementing traditional coding tech skills with ethics, communication, and creativity.
Some examples include:
(1) UX/UI Designers & Cybersecurity Analysts: are addressing the important need to make technology accessible, enjoyable and safe.
The first are experts in designing intuitive and engaging user experiences for apps, websites, and devices. The second are ensuring data safety and integrity by protecting systems from cyber threats. Training in design tools (Figma, Adobe XD), studies in human-computer interaction, data networks, and practicing empathy-driven design are foundational to these careers.
These roles can overlap with Product Management roles that prioritize vision and strategic priorities to deliver winning solutions, thinking at the intersect of business strengths, technical ability, and user needs.
(2) AI Ethics Specialists & Tech Policy Advisors: are addressing the fair and transparent use of technology that is aligned with societal and human values to prevents bias, protect privacy, and promote responsible innovation.
Training across fields like philosophy, inclusive design principles, law, and data ethics are foundational to these careers. An important specialty within these areas is the work of Digital Accessibility Specialists which ensure the usability of digital products particularly by people with disabilities.
(3) Data Analysts: are addressing the need to analyze raw data in ways that provide meaningful insights into questions of interest, translate data to guide strategic action, and communicates results effectively across organizations.
Foundational skillsets for these careers include training in story-telling; training in programs like Excel, SQL, Python or R; practice with public datasets; Tableau or Power BI dashboard building.
