Duncan Trevithick, a 34-year-old Spain-based marketing professional for an AI training data company, questions whether promoting AI use is fair. He points out that while using AI to complete two days' worth of work weekly might boost productivity, it doesn’t translate to tangible rewards like extra pay or time off. Instead, Trevithick argues that increased output merely sets a new baseline, potentially accelerating his redundancy. He views himself as a manager overseeing both human employees and AI systems, emphasizing the need to adapt to AI-driven workflows to avoid obsolescence.
The trend of using AI proficiency as a performance metric is growing. Accenture CEO Julie Sweet stated that AI is now integral to their operations, implying that employees must adopt AI tools to advance. Despite 94% of companies not yet realizing significant AI benefits (McKinsey), employees feel pressured to integrate AI due to the tight job market, with UK vacancies at a five-year low. While 75% of UK jobseekers would not be deterred by AI-based performance reviews, 22% find it off-putting.
Pamela, a senior US executive, observes that while AI isn’t formally mandated, its impact on promotions and retention is undeniable. She highlights a "two-tier workforce" where AI fluency outweighs traditional credentials, creating disparities in career progression. Pamela warns that AI adoption can become performative, with employees manipulating metrics rather than developing genuine skills.
Legal and ethical concerns arise. Employment lawyer Tina Chander notes that while companies aren’t legally obligated to compensate for AI-driven efficiency gains, fairness questions persist. HR consultant Tina Rahman stresses the need for transparency about AI’s purpose—whether it’s cost-cutting or outsourcing reduction—while Kamila Miller, an applied AI researcher, cautions that forcing AI use can lead to superficial compliance rather than meaningful skill development.
Amazon’s May shutdown of an internal AI leaderboard, where employees were gaming the system, underscores the risks of AI-driven performance tracking. Meanwhile, Trevithick and Pamela both seek to future-proof their careers by leveraging AI while ensuring they retain value in a rapidly evolving job market.
Source: BBC
Wire · Echonomia Post

