The AI revolution will reduce nearly 1 dollars per year on the budgets of S&P 500, known as Morgan Stanley – largely agents and robots making human jobs

American companies are on the verge of radical transformation, because the adoption of artificial intelligence could unlock almost 1 dollars per year of savings, according to a new radical analysis by Morgan Stanley. The bank calculates 90% of jobs will be affected in one way or another by automation or increased AI, with cost savings directly from reduced staff, natural attrition and automation of tasks with high intensity of knowledge but routine.
The Wall Street Bank believes that the large -scale deployment of agent AI and Robotics Humanoid Incarnate could generate $ 920 billion in net annual advantages for S&P 500 companies. The lion’s share of these economies, according to analysts, will result from payroll expenses and reduce the needs of human workers in repetitive or proper roles.

The planned savings equivalent to around 28% of the index tax revenues in 2026 – an amazing gain of the index, according to the industries. There are more warnings, because the thematic investment team of Morgan Stanley warns these cost savings “would probably take many years to reach”, and they see “a significant risk” of certain companies which do not reach complete adoption levels. The figure of $ 920 billion represents 41% of the total S&P 500 compensation load, they add, and they only have sufficient data to perform analyzes for around 90% of the S&P 500.
The “creation of economic value”, as they said, will come in a combination of cost reduction (for example, lower numbers and lower costs to carry out a wide variety of tasks in AI deployment) and new income and generation of margin, because employees are released to devote more time to higher value -added activities that could both increase income. They see a wide variety of the balance between these two impacts, depending on industry and occupation. The annual economic profit of $ 920 could result in an increase of 13 to 16 billions of dollars of the market value of the S&P 500, according to the report, according to the multiple evaluation. This figure would represent almost a quarter of all of today’s market capitalization.
Most exposed sectors
Not all industries will feel the effects. As you can see in the graph below, the distribution and retail sale of basic consumer products, real estate management and transport are among the most exposed sectors, with potential productivity advantages focused on AI exceeding 100% of the expected 2026 profits. Health equipment and services, cars and professional services are also confronted with disturbances and major opportunities.
On the other hand, the industries that already operate focus on work in relation to income, such as semiconductors and equipment – have a lower relatively lower than IA value potential.

Risk jobs, new roles to come
Although high -level savings come from paying payroll, Morgan Stanley stressed the distinction between complete automation and the increase in the tasks. The agentic AI, which covers applications generating AI and software, tends to reallocate tasks rather than eliminating jobs, while AI embodied in the form of humanoid robots presents risk of more direct substitution in industries such as logistics and physical retail trade.
The report also provides that entirely new job categories – from heads of AI to IA governance specialists – emerging in parallel with the trend of travel, echoing the previous waves of technological disturbance which stimulated the demand for programmers, IT professionals and digital marketers.

Morgan Stanley
A long increase
Despite the title number, analysts warn that the complete adoption should take place over the years, even decades. Companies will first look into the efficiency of attrition and transformation rather than immediate mass layouts, especially in the sectors where roles for customers stimulate income.
However, the message for investors is clear: AI is no longer a speculative theme. The cost of cost savings is so important that it could become one of the most powerful engines of American growth in companies during the second half of this decade.
For this story, Fortune Used a generative AI to help an initial project. An editor checked the accuracy of the information before the publication.
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