Ai isn't stealing jobs—misguided execs are
The narrative of artificial intelligence marching relentlessly toward mass unemployment is, according to a startling new report from Gartner, largely a self-inflicted wound. It’s not that AI is smarter than humans; it’s that many corporate leaders are chasing a promise built on shaky foundations, a promise that, so far, the data simply doesn’t support.
The dismal roi of ai investment
The numbers from Gartner paint a stark picture. Only 1 in 50 AI investments delivers genuinely transformative value, and a mere 1 in 5 yields any measurable return whatsoever. Yet, despite this abysmal track record, a significant portion of CEOs continue to slash payrolls, anticipating gains that haven’t materialized. The reality? A paltry 1% of first-half 2025 layoffs were attributable to actual productivity improvements—a clear indication that the AI-driven exodus is often a preemptive strike based on unfounded optimism.
What’s emerging instead is a phenomenon Gartner terms “workslop”—low-quality work produced by AI tools. Companies are pressuring employees to utilize these tools extensively, often without providing adequate time for review and quality control. The result? Workers are spending nearly two hours correcting each instance of workslop they identify. The irony is palpable: organizations aggressively pushing AI adoption often see worse outcomes, while those investing in change management progress more slowly but generate greater value. It’s a cautionary tale about the perils of blindly embracing technological solutions without considering the human element.
The mental toll and rise of corporate espionage
Beyond the immediate impact on jobs, the Gartner report reveals a growing concern: the psychological strain on employees. A staggering 91% of Chief Technology Officers acknowledge their organizations dedicate little to no time to monitoring the mental effects of prolonged AI usage. Disputes over terminations and sanctions are already arising from employees following flawed guidance from automated systems. The trust between employer and employee is eroding.
The talent acquisition landscape is equally fraught. Both candidates and companies are increasingly leveraging AI in the application process—one to enhance resumes, the other to filter them—creating a climate of deep distrust. Gartner predicts that by 2028, one in four applications could be outright fraudulent. Companies are, understandably, experimenting with hybrid approaches—combining in-person events with practical assessments—to restore some semblance of credibility to the hiring process. Adding to this complexity is a surge in corporate espionage. CrowdStrike documented over 320 incidents in 2025 alone involving stolen identities, AI-generated photos, and deepfakes used to infiltrate Western companies, forcing HR departments to assume roles in cybersecurity they were previously ill-equipped to handle.
The 'process pros' and the rise of digital doppelgangers
The future, according to the HBR report, doesn’t belong to those who simply accumulate the most AI tools. Instead, it belongs to the “process pros”—employees capable of redesigning entire workflows, not just optimizing individual tasks. Organizations that overhaul processes with AI are twice as likely to meet their revenue goals. A newer trend is the emergence of “digital doppelgangers”—virtual replicas of high-performing employees. As these digital twins become more prevalent, workers will likely demand compensation not only for training AI systems but also for the use of their digital likeness and knowledge.
Elon Musk, meanwhile, finds himself increasingly isolated in the AI venture capital landscape, with the recent departure of yet another co-founder from xAI. The reckoning is here: AI’s impact isn’t about robots replacing humans, but about revealing the shortcomings of poorly managed technological ambition. The real challenge lies not in building smarter machines, but in building smarter organizations.