Joe Allen, a right-wing commentator, recently raised concerns about what he refers to as ‘algorithmic immigrants’ from Silicon Valley. These digital workers, operating continuously from server farms, pose a threat to millions of American jobs.
These software systems don’t require health insurance, sick days, or raises. Arguing about whether software qualifies as an ‘immigrant’ isn’t productive. The focus should be on how it impacts traditional employment.
A typical white-collar job requires around 2,000 hours of work annually. In contrast, software operated on cloud platforms runs 8,760 hours a year without pause. A substantial shift occurs before layoffs begin. Employers recognize they can strengthen their bargaining position through automation.
Consider a senior analyst seeking a cost-of-living raise. An executive can easily point to software that covers 70% of the analyst’s workload. The prospect of a raise disappears, replaced by a suggestion that the analyst should feel fortunate to keep their job.
For decades, Gen X and millennials adhered to a specific plan: attend college, accumulate debt, become adept at processing information, and secure an office job. However, technology now performs such tasks more efficiently and at lower costs. While many continue paying off their degrees, the economy has shifted.
Politicians and tech leaders often advise workers to retrain for the modern economy. For instance, asking a 45-year-old paralegal to learn software development seems feasible until realizing that software itself writes code faster than a recent computer science graduate.
This constant adaptation results in psychological and financial strain. Workers must contend with ongoing responsibilities like families and property taxes while attempting career changes.
Companies don’t need to fire entire departments to cause economic uncertainty. Reducing a department from 100 to 60 creates an excess of unemployed specialists competing for fewer positions, suppressing wage growth while the company’s profits climb.
While America may grow economically richer, individual wealth could decline. The middle class, which primarily manages information, faces significant pressure.
A career transition from an office job to a physical trade poses challenges. Becoming a licensed electrician or plumber requires prolonged training and physical capability beyond what middle-management professionals possess. Moreover, a surplus of applicants could reduce wages in skilled trades.
Companies may assure stakeholders by promising a ‘human in the loop’ as a safeguarding measure. In reality, a solitary supervisor is tasked with overseeing software that has replaced many colleagues.
The onboarding process offers little solace. Senior staff can be tasked with documenting procedures, correcting software errors, and unintentionally training their replacements. This process contributes to a climate of uncertainty.
Major research institutions predict AI could have a 10% chance of wiping out humanity. We face a future where our economic relevance diminishes, or superintelligence could lead to swift destruction.
Critics may call this view alarmist, but understanding these threats is crucial for societal preparedness.
John Mac Ghlionn, a writer and researcher, examines the relationship between culture, society, and technological impacts on daily life.