AI’s competitive disruptions erodes labor’s importance while increasing dependence on key talent
- Ken Stibler
- Mar 11, 2024
- 3 min read
Updated: Mar 13, 2024
AI is already creating winners and losers as labor cost reductions and efficiency gains raise the bar for competition in many industries. Companies that fail to embrace employee augmentation, productivity enhancement, and labor retraining risk falling behind. Competitors who are leveraging AI can increase their output and create cost savings that can be passed on to consumers.
For instance JPMorgan’s cash management tool slashes manual tasks across the workflow by 90%. While such examples may seem remote or intimidating to some, the reality is that over 2,500 JPMorgan clients are already reaping the benefits of this technology, enabling them to deploy their resources more efficiently and effectively.
Top performing small businesses spent between .5 and 1% of yearly top-line revenue on the finance function. And tools like the JPM cash management platform are being released every day across all business functions, offering an astounding opportunity to increase profit while being more competitive on pricing.
Tech giants and industry leaders are plowing billions into AI-related technologies, recognizing the immense potential for competitive advantages through increased productivity and efficiency.
The capacity to achieve more with fewer employees creates an off dichotomy for employers: While AI erodes the overall value of labor, it simultaneously elevates the critical dependence on a core group of highly skilled, adaptable, and innovative employees. Small businesses that recognize and address this paradox through strategic upskilling, talent development, and cultural transformation will be best positioned to thrive in the AI-driven future of work, and maintain a competitive edge in an increasingly cutthroat market.
However, this is just one side of the equation. As large enterprises reap the gains of lower labor costs, existing employers are acutely aware of these developments, which risks lower employee engagement and cultural friction against adopting new tools.
With skills becoming obsolete within just four years, employees face a pervasive sense of insecurity, grappling with how to understand and compete in the rapidly evolving human capital landscape. A widening gap is emerging between top talent, capable of achieving more with AI-driven tools, and lower-skilled workers whose value progressively diminishes.
This situation raises concentration risk, meaning businesses will increasingly depend on a smaller group of highly skilled and constantly up-skilling employees. Rather than make labor relations obsolete, this dynamic will make retraining, mentorship, continuous learning and clear communication – initiatives that employees have long clamored for - even more important.
For small businesses, the challenge is twofold: attracting and retaining top-tier talent while simultaneously upskilling their existing workforce. The ability to recruit and retain the caliber of talent capable of driving innovation and adapting to AI-driven disruptions has long been a hurdle, with creative thinking cited as the most important skill by 70% of employers.
As AI continues to disrupt traditional labor dynamics, a widening gap is emerging between top talent and those whose skills are becoming progressively less valuable. Flexibility, ambition, and creative thinking will become an increasingly sought-after commodities, exacerbating the failure of traditional educational programs and challenging of recruiting and retaining top-tier talent.
Small businesses must get ahead of rapidly approaching horizon building capabilities in continued learning, development, and applied critical thinking for their top employees. This will enable them to quickly adapt and upskill, keeping pace with the operational and competitive implications of AI-driven productivity and efficiency gains.
Failure to invest in these initiatives risks falling behind competitors who are harnessing the power of AI to streamline operations, reduce labor costs, and redirect resources to gain a competitive edge. Whether through enhanced product offerings, aggressive pricing strategies, or innovative business models, companies that successfully integrate AI into their operations will have a distinct advantage over those that lag behind.
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