KPMG: AI Isn’t Replacing Staff, It’s Redefining Them

Why It Matters

The findings signal a strategic pivot for firms: investing in AI talent development is becoming essential to maintain competitive advantage and drive growth in a rapidly digitizing market.

Key Takeaways

• AI skill salaries up 30% year‑over‑year
• 70% of firms launched AI reskilling programs
• Talent definitions now include data fluency
• Half of staff expect role changes, not layoffs
• KPMG forecasts AI will create 1.2 million jobs by 2028

Pulse Analysis

The acceleration of artificial intelligence across professional services is prompting a wholesale re‑evaluation of workforce strategy. Rather than displacing staff, AI tools are augmenting decision‑making, automating routine analysis, and freeing consultants to focus on higher‑value advisory work. This shift compels firms to broaden their talent taxonomy, valuing not only traditional domain expertise but also data literacy, coding basics, and the ability to translate algorithmic insights into client‑facing recommendations.

KPMG’s survey highlights tangible market signals: compensation for AI‑centric roles has jumped roughly 30% compared with the previous year, reflecting heightened demand for engineers, data scientists, and AI‑savvy consultants. Concurrently, 70% of surveyed firms have instituted formal reskilling pathways, ranging from internal bootcamps to partnerships with online education platforms. These programs aim to upskill existing staff, mitigating talent shortages while preserving institutional knowledge. Employees report confidence that their roles will evolve rather than disappear, underscoring a cultural shift toward continuous learning.

Looking ahead, the broader industry is likely to see AI generate more jobs than it eliminates, with KPMG projecting 1.2 million new positions globally by 2028. Companies that proactively embed AI competencies into their talent pipelines will capture higher margins and deliver more innovative solutions to clients. Executives should therefore prioritize strategic reskilling budgets, align performance metrics with AI‑enabled outcomes, and foster cross‑functional teams that blend technical acumen with client‑service expertise to stay ahead in the AI‑driven economy.