AI Is Deciding Who Gets Promoted—and Who Gets Fired

Introduction: The Rise of Algorithmic Management

In the age of artificial intelligence, it’s not just your résumé under scrutiny—your future may now be decided by a machine. A recent Resume Builder survey reveals a dramatic shift in workplace dynamics: 60% of U.S. managers now use AI tools to make critical personnel decisions, from promotions to terminations. This eye-opening trend signals a pivotal transformation in how workplaces operate, raising urgent questions about fairness, transparency, and the ethics of outsourcing human judgment to cold algorithms. Are employees being judged on performance, or simply on patterns a machine interprets without context? Here’s a breakdown of the findings—and what it means for your job security.

🧠 the Original Report

A survey conducted by Resume Builder involving 1,342 U.S. managers has uncovered a sweeping trend: AI is increasingly being used to make high-stakes decisions about employees. Around 60% of managers confirmed they rely on AI for performance evaluations, and significant decisions such as raises (78%), promotions (77%), layoffs (66%), and terminations (64%). Notably, over 20% of those managers allow AI to make final decisions without human intervention, though many still reserve the right to override the machine’s suggestions.

AI is also being utilized for crafting training materials and performance development plans. Alarmingly, 91% of respondents said they use AI to assess employee performance—though the criteria remain vague. Nearly half (46%) of managers are tasked with evaluating if AI can replace employees, and of those, 43% have already done so. Yet the types of roles being replaced remain unspecified.

Among AI tools, ChatGPT leads with 53% usage, followed by Microsoft Copilot (29%) and Google Gemini (16%). Despite widespread use, two-thirds of managers lack formal AI training, raising concerns about misuse and misinterpretation.

Experts, including Stacie Haller from Resume Builder and Hilke Schellmann, author of The Algorithm, warn that while AI offers speed and data-driven insights, it lacks context, empathy, and human judgment. Ethical usage, they argue, would require transparency, employee input, and mechanisms for appeal.

Meanwhile, the legal landscape is still catching up. New York City’s Local Law 144 mandates audits for AI-based hiring tools, but its narrow scope leaves many loopholes. Without universal standards, AI use in HR remains largely unregulated, opening the door to potential privacy violations, biased decision-making, and job insecurity.

Lastly, workers are urged to organize, demand transparency, and work with unions to introduce safeguards around AI-based surveillance and decision-making tools. Without action, AI may continue to silently reshape workplaces—without employee knowledge or consent.

💡 What Undercode Say:

AI’s infiltration into HR decision-making is both inevitable and dangerous—especially when it bypasses human oversight. This is not merely a tech issue; it’s a labor rights issue, a trust issue, and potentially a legal disaster waiting to unfold.

The fact that 43% of managers have already replaced human roles with AI without detailing the types of positions affected is deeply problematic. If these roles are support-based or operational, it signals the start of a wider purge of mid-level jobs. If they’re strategic or creative, it suggests managers are overestimating AI’s capabilities—and underestimating the human factor.

Equally concerning is the lack of AI literacy among managers. Relying on tools like ChatGPT or Microsoft Copilot without formal training is like giving someone a scalpel without teaching them anatomy. The damage isn’t theoretical—it’s already happening, in the form of layoffs and opaque evaluations.

Then

Privacy is another ticking bomb. If managers are feeding confidential information into third-party AI tools—without informing employees—they’re exposing companies to compliance failures, GDPR violations, and lawsuits. The fact that no questions were asked about this in the survey is itself revealing.

The recommendation from experts like Schellmann—that AI systems should benefit employees rather than monitor them—makes a lot of sense, but runs counter to corporate incentives. Unless unions and legislators step in to create guardrails, AI will continue to evolve unchecked in the workplace, increasingly making decisions that should be guided by human judgment.

In the broader context, the idea of AI deciding your promotion or termination is a dystopian reality unfolding in real time. Managers may feel more “objective” using algorithms, but algorithms reflect data—and data reflects past bias. So unless AI systems are continuously audited, they will perpetuate and institutionalize discrimination at scale.

This isn’t just about individual fairness; it’s about organizational culture. Delegating HR decisions to AI sends a message: you are data, not a person. In a job market already under pressure from automation, this shift in perception could devastate morale, retention, and innovation across industries.

🔍 Fact Checker Results

✅ Fact: 60% of managers are using AI for personnel decisions
✅ Fact: 43% of managers who evaluated AI potential have replaced employees
❌ Claim: AI decisions are always transparent—survey shows a lack of standards or disclosures

📊 Prediction:

Within the next 18–24 months, we expect major corporations to face class-action lawsuits tied to AI-driven personnel decisions. As legislation catches up, more states will implement mandatory audit laws similar to New York’s, but with broader definitions. Meanwhile, employee advocacy will surge—especially in unionized sectors—demanding transparency and the right to appeal AI-driven decisions. Companies failing to address these concerns could see rising turnover and reputational damage.