The issue is not the disappearance of all jobs, but a shift in the tasks that create real value. Some tasks can be automated, while demand also grows for analysis, human judgment and oversight of intelligent systems.

Should we retrain an employee doing repetitive work, or replace them and search for skills that could have been developed internally?

People & Workforce Intelligence Specialist

From: Preparing headcount spreadsheets and reports

To: Analyzing productivity and workforce costs, forecasting staffing needs and connecting them to operational demand

Example: Before hiring 20 additional workers, review capacity, shifts and absenteeism to identify the real staffing gap.

Payroll Automation & Compliance Specialist

From: Manually entering payroll variables

To: Building automated checks, reviewing exceptions, validating taxes and social insurance, and integrating systems

Example: A company with 2,000 employees needs to detect errors before payment, not merely complete the payroll register.

AI Workflow & Automation Designer

From: Tracking requests through disconnected emails and messages

To: Mapping processes, connecting systems and designing automated approvals with human oversight for sensitive decisions

Example: Turn scattered purchase-request emails into a clear workflow from submission to approval.

AI Agent Operations Manager

From: Using disconnected tools without performance measurement

To: Monitoring AI agents, validating output quality, managing permissions and escalating cases to humans

Example: Review an AI customer-service agent’s responses and route complex complaints to an accountable employee.

Decision Intelligence Analyst

From: Producing monthly reports that describe numbers

To: Turning data into scenarios, options and recommendations linked to cost and risk

Example: Instead of only reporting a 10% sales decline, explain possible causes and present three practical options to test.

Skills-Based Talent Architect

From: Screening CVs by job title and years of experience alone

To: Developing skills maps, practical assessments and mobility pathways while monitoring bias

Example: Assess a business-analysis candidate through a case exercise, even if they have never held that job title.

Smart Operations & Capacity Analyst

From: Relying on separate production and operations reports

To: Connecting equipment, shifts and people capacity to downtime, costs and expansion plans

Example: Before buying another machine, assess utilization, downtime and unused existing capacity.

Customer Experience Automation Designer

From: Answering recurring customer questions manually

To: Designing digital customer journeys and AI assistants, analyzing complaints and identifying when human help is needed

Example: Provide order status automatically while routing sensitive cases to a qualified person.

Workforce Reskilling & Learning Designer

From: Measuring training mainly by hours delivered

To: Designing project-based learning and measuring improvements in skills and performance

Example: Help a data-entry employee transition into data quality and reviewing automation outputs.

AI Governance & Risk Specialist

From: Adopting new tools without a clear policy

To: Setting controls for usage, privacy, accountability, testing and human review

Example: Review an AI applicant-screening tool for fair selection criteria and a way to challenge decisions.

For Companies

Offer hands-on internships, short projects, internal mobility and reskilling rather than treating experience as a requirement without a starting point.

For Employees

Learn the tools of your field, understand processes, build analytical and communication skills, and learn to check AI outputs.

For Graduates

Build a portfolio of real projects, demonstrate skills through practical assessments, and solve genuine market problems rather than collecting certificates alone.