FEATURE
However, there is a solution to this problem, but it may not lie in the expected places of a breakthrough model or novel algorithm. Instead, it is in the foundational discipline of data automation.
A leaner workforce, under greater pressure
Across industries, talent strategies are being rewritten in real-time. With hybrid work becoming the norm, wage inflation, specialised-skills shortages and intense competition for talent, organisations are rethinking what they expect from employees. And employees are rethinking what they expect in return.
Against this backdrop, the role of automation is evolving at breakneck pace. Automation is an essential pillar to the sustainability of the workforce itself, not a shortcut to cost savings or operational improvements.
McKinsey research shows that while 92 % of companies plan to invest more in AI over the next three years, only 1 % say they’ ve reached maturity. What’ s holding the rest back isn’ t access to tools, which are abundant, but poor data readiness and underinvestment in employee enablement.
In regions where access to specialised talent is limited, these challenges are magnified. The ability to amplify human capacity, to do more with smaller, leaner teams, is now a decisive factor.
The real job of automation: Redirecting talent to strategic priorities
The fear surrounding automation, particularly in regard to AI, often centres on job losses. But the more urgent and realistic conversation surrounds job evolution. When properly implemented, data automation doesn’ t replace the workforce; it redefines and enhances it. www. intelligentcxo. com
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