Artificial intelligence is rewriting business operations. Companies across industries are now focused on preparing their workforce for the AI era, investing in new automation tools and AI-driven systems, yet many are hitting the same brick wall: technology adoption is outpacing the workforce's ability to use it effectively. Tools are becoming more advanced. Workflows are becoming more complex. Teams are struggling to keep up.
The companies that will succeed in the AI era are not the ones deploying the most tools, but the ones building the talent that can apply AI in real time, navigate risk, and use the technology to drive measurable value.
Per Scholas partners with employers to close this gap. After thirty years of evolving our training to match industry shifts, we help companies build, hire, and upskill AI-fluent teams can use AI responsibly and effectively.
The Market Shift
AI has already moved from the experimental phase to daily use across industries, but most employees are still catching up. Leaders are integrating generative AI into products, platforms, and workflows, yet one in three employees reports that they don't use AI in their daily work. This disconnect is slowing adoption and creating uneven productivity across teams.
At the same time, demand for AI-aligned talent is growing. AI and automation roles doubled to 6% of all jobs filled in early 2025. Many companies cannot hire fast enough and need stronger internal pipelines.
The outcome is clear. Leaders are committed to AI, but teams are still building the skills to bring those strategies to life.
Embedding AI Fluency Into Every Technical Role
Per Scholas has integrated foundational AI fluency into every training program so employers can access talent that understands not just how AI works, but how to use it responsibly in their jobs.
Every technologist now begins with applied AI training that includes:
- Foundational instruction in generative AI tools such as ChatGPT and GitHub Copilot.
- How modern AI systems operate
- What AI can do and its current limitations
- How to evaluate AI outputs instead of accepting them at face value
- How to identify and mitigate bias
This approach has helped our technologists move beyond surface-level prompt writing. It builds judgment, technical grounding, and critical thinking, qualities employers consistently cite as essential for responsible AI use.
As one technologist put it, "Creativity, critical thinking, problem solving, communication, empathy – these are the skill sets people will need to cultivate in the future to be more effective." These are built directly into our programs.
Integrating AI Into Technical Training Tracks
AI is no longer a standalone specialization. It is an enabler across cybersecurity, software engineering, data, cloud, and infrastructure. That is why we have woven AI into the technical work learners practice every day.
CybersecurityTechnologists use AI-driven tools for threat detection and pattern recognition, a critical capability in an environment where cyber risk is increasing and talent shortages persist.
Software EngineeringDevelopers learn to use AI assistants to write, test, and debug code more efficiently, improving delivery speed while maintaining code quality.
Data EngineeringParticipants apply AI to build predictive insights and streamline data pipelines, an essential skill as data volumes and model complexity grow.
By the time they enter the workforce, Per Scholas technologists are comfortable using AI in the same situations they will encounter on the job. Employers gain talent who can make immediate contributions to AI-enabled workflows.
Launching Dedicated AI-Focused Pathways
In addition to integrating AI across all programs, Per Scholas has introduced specialized AI tracks that support emerging needs within engineering and IT teams:
- AI Prompt Engineering
- Azure AI Fundamentals
- AI Cloud Practitioner (in development)
These pathways help employers staff growing AI initiatives, from automation to intelligent operations to AI-enhanced applications.
Using AI To Strengthen Talent Readiness
We also use AI internally to support learners throughout the training lifecycle. This enables employers to hire talent who enter the workforce more prepared, more confident, and ready to contribute more quickly.
- Azari AI gives learners on-demand support for technical questions, interview preparation, and concept review.
- ResumeBoost compresses resume creation from hours to under an hour, helping talent present their experience more clearly and enabling employers to review candidates faster.
- AdeptID helps match learners and alumni to roles aligned with their skills and aptitudes, supporting better long-term fit.
The result is talent that moves through the pipeline more efficiently and arrives better prepared for interviews, assessments, and early performance.
Why Employers Are Leaning Into Skills, Not Just Tools
Across industries, companies are confirming that AI enhances rather than replaces. AI initiatives succeed when teams know how to evaluate outputs, collaborate effectively, and integrate AI into decision-making.
This is where the greatest talent gaps are emerging, and it is why employers are focused on building internal capacity rather than relying solely on external hiring.
Per Scholas-trained technologists consistently demonstrate strong performance and staying power. Employees trained through Per Scholas have 30-50% lower turnover, reducing hiring costs and preserving institutional knowledge.
This combination of technical readiness and human capability is what makes teams competitive in AI-driven environments.
What the AI Era Means for the Future of Work
AI is creating new categories of work across technical and tech-adjacent roles. It is changing what software developers prioritize, reshaping how cybersecurity teams operate, and increasing the importance of data and cloud roles. It is also expanding the expectations for roles outside of traditional IT, from Salesforce administrators to operations specialists.
With these shifts, employers need talent who can adapt as responsibilities evolve. They need technologists with strong foundations, applied AI fluency, and the ability to learn continuously.
This is where Per Scholas aligns most closely with employer needs. Our programs are designed to keep pace with technological change so companies can hire talent prepared for where the industry is going, not where it has been.
The Bottom Line
AI will transform how every company operates, but the impact will depend on the talent behind the technology. Companies that invest in building AI-fluent teams now will accelerate adoption, reduce risk, and stay ahead of competitors.
Per Scholas partners with employers to hire AI-ready technologists, upskill existing teams, and build internal pipelines that support long-term capabilities.
If your organization is navigating what AI means for your teams, we can help you build the workforce that makes those ambitions real.