Portugal
More than half of the workers indicate remuneration as the main retention factor
Publication: ECO
Author: Matilde Malva Sabino
Source published: 12/11/2026, 16:23:11 UTC
Briefing created: 15/11/2026, 18:21:57 UTC
Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 12/11/2026, 16:26:24 UTC.
Briefings
A McKinsey & Company study published on November 12, 2026, reveals that remuneration and benefits have become the primary factor for employee retention, surpassing job security and work-life balance. This shift occurred against a backdrop of high economic uncertainty, reduced labor mobility, and rapid skill transformation, with only 17% of workers planning to change jobs within six months. The study highlights significant gaps in training participation (24% of workers received less than 3.4 days of training annually) and career development oversight (58% received formal evaluations only once or twice a year). While 71% of workers expect AI to expand their skill sets, only 25% of European workers have completed formal AI training. The research identifies AI literacy as the most prioritized corporate skill, rising from 20th to 6th place, yet AI adoption in HR remains limited to 28% of global processes. The findings underscore a strategic shift from headcount planning to competency management, with China leading AI implementation at 43%.
Key points
- Remuneration and benefits are now the top factor for employee retention, up 24 percentage points from 2025.
- Only 17% of workers plan to change jobs within six months, reflecting high economic uncertainty and reduced mobility.
Context
The study, titled "HR Monitor 2026," analyzes retention trends across generations and identifies that while 85% of companies have a competency taxonomy, only 57% align it with workforce planning. The findings are critical for understanding the transition from traditional HR management to AI-driven competency strategies in a volatile labor market.
Limitations
Data is limited to the 2026 snapshot and reflects European workforce priorities; specific country-level AI adoption rates are provided but regional variations exist.
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