By Adonis Suero
Artificial intelligence is changing more than the way we work. It is reshaping how careers begin.
For decades, early career technology roles provided a clear pathway into the workforce. Workers built experience through entry-level positions, developed new skills, and progressed upward through a traditional career ladder.
As AI transforms how organizations operate, career development must evolve. Success will depend not only on technical knowledge, but on the ability to adapt, solve problems, evaluate information, and work effectively alongside technology.
The question is not simply whether someone works in technology. It is whether they can work effectively with technology.
For workforce development organizations, employers, and funders, this shift requires a new way of thinking about career pathways, workforce readiness, and economic mobility.
The AI Opportunity Gap
Help desk support, quality assurance testing, data entry, and basic analysis gave workers opportunities to build technical experience, develop judgment, and advance into higher-skilled roles. But the tasks that made up these entry-level positions are changing.
To better understand this shift, NPower partnered with the Burning Glass Institute to analyze 52 entry-level technology roles and more than 500 skills across industries including healthcare, financial services, IT support, retail, advanced manufacturing, and data centers.
The findings revealed a changing landscape.Many common entry-level roles, including Data Analyst, Business Analyst, Helpdesk Associate, and Clinical Data Entry Operator, are increasingly exposed to automation. At the same time, roles that rely on human judgment, communication, problem-solving, and hands-on technical expertise remain more resilient.
This creates a new challenge for early career workers. The routine tasks that once served as learning opportunities are changing, requiring workers to build stronger skills in areas that complement AI rather than compete with it.
As one employer noted in the research, “The handholds are taken by AI. All the easy things that would have helped are gone for each step.”
AI is not simply closing off opportunities. . It is reshaping where opportunities exist.
The traditional career ladder is becoming a career lattice.Instead of moving along one predictable path, workers will increasingly need to move across roles, industries, and skill areas. Career growth may come through pathways into cybersecurity, automation, AI operations, data management, governance, and other emerging fields.
Success in this environment depends less on following a single path and more on continuously learning, adapting, and applying technology to solve real-world challenges.
Building for the AI Economy
Technology is no longer limited to the technology sector.Healthcare professionals rely on digital systems and AI-assisted tools. Logistics teams use automation and real-time data. Manufacturers depend on connected systems, predictive maintenance, and robotics.
As technology becomes part of everyday work across industries, workforce readiness must evolve. Technical skills remain essential, but employers are increasingly looking for workers who can combine technical knowledge with critical thinking, communication, curiosity, judgment, and problem-solving.
Through employer roundtables conducted with the Burning Glass Institute, NPower found that organizations are placing greater value on workers who can evaluate AI outputs, understand business context, identify risks, and make informed decisions.
The competitive advantage is no longer simply knowing how to use AI. It is knowing how to apply it responsibly and effectively.
Workers need to understand when AI can accelerate a process, when its outputs require additional review, and how technology can be used to improve the way organizations operate.
This is why NPower continues to embed AI literacy throughout its training programs. Students learn how to use emerging tools while also developing the judgment needed to question outputs, recognize limitations, and apply technology in meaningful ways.
A New Kind of Tech Training
The shift from career ladders to career lattices requires new approaches to workforce development.The research shows that tomorrow’s technology workers will need more than familiarity with tools. They will need the ability to use technology to solve problems, improve processes, and create value across industries.
That insight shaped the development of NPower’s Path2TECH AI Prompt + Power Automation program, a new 20-week training pathway designed to prepare learners for emerging opportunities in AI, automation, and business operations.
Participants develop skills in prompt engineering, Microsoft 365 Copilot, Power Automate, workflow automation, data management, and process optimization while also strengthening critical thinking, problem-solving, and responsible AI practices.
Rather than teaching AI as a standalone tool, the program emphasizes how workers can use AI to redesign workflows, improve business processes, and solve practical workplace challenges.
Participants build a personal prompt library and complete a portfolio-ready capstone project designed around real workplace applications in areas such as HR, IT, sales, and operations. They also prepare for industry-recognized certifications, including Microsoft and Google AI credentials.
The program is designed to prepare learners for roles such as AI Operations Analyst, Automation Analyst, Junior Data Analyst, Power Automate Support Associate, Business Process Analyst, and Junior AI Prompt Engineer. The goal is not to steer learners toward roles untouched by AI, but to prepare them for work in which using technology and exercising human judgment go together.
With the inaugural cohort underway, Path2TECH AI Prompt + Power Automation represents an important step in NPower’s continued evolution of workforce training. It reflects a commitment to translating labor market insights into practical pathways that prepare learners for careers that will continue to change alongside technology.
This approach reflects a broader shift in how employers evaluate readiness. Research from NPower and the Burning Glass Institute shows growing support for certifications, apprenticeships, capstone projects, and portfolio based assessments as stronger indicators of workforce preparedness in an AI driven economy.
Registered apprenticeships and experiential learning opportunities will also become increasingly important. By combining training, hands on experience, and employer validation, these models help bridge the gap between learning and employment while creating pathways into emerging careers.
The Path Forward
For 25 years, NPower has connected untapped talent to careers that lead to economic mobility. That mission is more important than ever as AI changes how careers begin.
The challenge for workforce development is not whether opportunity will exist. It is whether people will have access to the skills, experiences, and support needed to pursue it.
Preparing people for the future of work is about more than training for technology roles. It is about building the ability to adapt as technology changes work across
Employers, funders, and workforce development organizations have a shared responsibility to create the training and early-career experiences that make adaptation possible. Together, we must ensure that opportunity keeps pace with innovation.
Read the full findings from NPower and the Burning Glass Institute’s research on AI and early career workforce pathways.












