America’s biggest banks are urging governments to take drastic action to urgently reduce the global population in preparation for a future in which hundreds of millions of humans become obsolete as artificial intelligence rapidly replaces humans in the workforce.
According to a new Bloomberg report, major financial institutions are aggressively deploying AI systems while simultaneously reducing hiring, automating routine tasks, and restructuring their workforces around technology that executives admit will make humans “useless” and “obsolete”
The warnings are now coming directly from the top. JPMorgan Chase CEO Jamie Dimon recently acknowledged that artificial intelligence “will eliminate jobs,” while Citigroup CEO Jane Fraser suggested that, in the brave new world, humans “will no longer be required.”
Goldman Sachs President John Waldron described large portions of the banking sector as a “human assembly line” that can increasingly be replaced by machines.
Perhaps the most revealing comments came from Standard Chartered CEO Bill Winters, who openly admitted that banks are replacing workers with technology investments.
“It is not cost-cutting; it is replacing, in some cases, lower-value human capital with the financial capital and the investment capital we are putting in,” Winters said before later attempting to walk back the remarks.
For critics, the comments offer a rare glimpse into how some of the world’s most powerful financial institutions view the future of human labor.
The biggest casualties may be young workers attempting to enter the industry.
According to Debasish Patnaik of McKinsey’s QuantumBlack division, some banks have reduced junior analyst hiring classes by as much as two-thirds.
At the same time, banks are pouring resources into recruiting AI specialists and investing billions in automation technology.
The result is that many traditional entry-level positions that once served as stepping stones into the middle class are rapidly disappearing.
For decades, graduate recruitment programs provided a pathway for young professionals to build careers in finance. Now those opportunities are being replaced by software capable of performing many of the same functions at a fraction of the cost.
The shift is already transforming the hiring process itself.
Students applying for jobs increasingly find themselves screened by artificial intelligence rather than human recruiters.
Candidates spend hours tailoring applications to satisfy algorithms, optimizing resumes for automated systems, and attempting to navigate hiring processes that are becoming increasingly machine-driven.
In many cases, AI determines whether an applicant advances long before a human being ever reviews the file.
Meanwhile, the technology continues spreading throughout the financial sector.
Banks are deploying AI across customer service departments, compliance reviews, transaction monitoring, wealth management services, and trade oversight operations.
Citigroup has begun rolling out AI-powered financial advisers, while Barclays has used generative AI tools to analyze and summarize millions of customer interactions.
Although executives continue emphasizing productivity gains and operational efficiency, analysts warn that the long-term implications for employment could be profound.
For years, automation primarily threatened factory workers and blue-collar jobs.
Now the same technological revolution is moving into white-collar professions once considered secure.
Finance may simply be the first domino to fall.
As Wall Street races to automate everything from hiring decisions to customer support, a growing number of observers are asking whether artificial intelligence is being developed to assist workers—or to replace them entirely.
For critics of the globalist agenda, the answer is becoming increasingly clear.
The world’s most powerful financial institutions appear to be preparing for a future in which fewer and fewer humans are needed to keep the economy running.
And according to some of their own executives, that future may arrive sooner than most people realize.