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AI could save companies $1 trillion: Morgan Stanley

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The savings would reportedly come primarily from smaller payroll and increased employee productivity.

Corporate America could unlock nearly $1 trillion in savings by adopting artificial intelligence, according to a sweeping new report by Morgan Stanley. The bank says 90% of jobs will be affected by AI automation or augmentation, reducing costs through reduced headcount, natural attrition, and automation of knowledge-intensive but routine tasks.


The bank estimates that the widespread adoption of agentic AI software and AI-powered robots could generate a total of $920 billion in net annual benefits for companies in the S&P 500. Most of those savings, its analysts say, will come from reduced payroll expenses and fewer workers doing repetitive or process-heavy roles. Employees whose tasks have been augmented by AI, they added, can also spend more time on value-added activities that further increase revenue and enhance margins.


Morgan Stanley did highlight several caveats, cautioning that the cost savings would ‘likely take many years to achieve’ and that there is a ‘significant risk’ of some companies not achieving full adoption levels. The $920 billion figure also represents 41% of the total S&P compensation expense, the bank added, and it only has enough data to analyse approximately 90% of the companies in the S&P 500.


Not all industries will feel the effects equally. Morgan Stanley predicts that businesses in the retail, consumer, real estate, and transportation industries will be the most exposed in the switch to AI, while health care equipment and services, automobiles, and professional services businesses will face significant disruption in their operations.


Although most of the savings are attributed to payroll reductions, Morgan Stanley emphasized that agentic AI adoption would likely translate to tasks being reassigned rather than eliminated outright. New types of jobs, such as chief AI officers to AI governance specialists, would also emerge, echoing earlier market trends that created demand for programmers, IT professionals, and digital marketers, the bank said.


Analysts were also quick to caution that full adoption of AI will likely take several years, if not decades. Companies will also be likely to lean on attrition and process efficiencies instead of mass layoffs, particularly in sectors where customer-facing roles drive revenue.

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