Tech titans and stock market investors are increasingly unified in their forecast that artificial intelligence will permanently eliminate millions of white-collar jobs and render traditional employment obsolete.
Software and services stocks have taken a beating, with software multiples pulling back by roughly 33% since late 2025 as investors fret over AIโs potential to automate vast swaths of knowledge work. Earlier this year, Elon Musk predicted that AI and humanoid robots will make work completely โoptionalโ within the next 10 to 20 years, ushering in a post-scarcity economy where money itself becomes irrelevant. He joins a growing chorus of tech executives issuing stark warnings about human obsolescence; OpenAI CEO Sam Altman recently cautioned that superintelligence could soon outperform even top corporate executives, while Microsoft AI chief Mustafa Suleyman and Anthropic CEO Dario Amodei have projected that sweeping white-collar automation could arrive in one to five years. Economists remain skeptical of the timeline, noting that the apocalyptic narrative may be as much a tool to justify astronomical tech valuations as it is an impending economic reality.
But a new, cross-asset research report from Morgan Stanley offers a remarkably grounding message for anxious employees and jittery markets: Most of you wonโt be permanently unemployed; you are just going to find new jobs, many or most of which donโt exist yet.
Addressing the widespread concern that AI will โreplace millions of jobs and increase unemployment by an equivalent amount,โ a large team of Morgan Stanley analysts pointed directly to history. Over the past 150 years, sweeping technological shiftsโfrom electrification and the tractor to the computer and the internetโhave fundamentally altered the labor force, but they โdid not replace labor.โ
When the spreadsheet was popularized in the 1980s, for example, it automated tedious financial modeling and reduced the need for certain bookkeeping clerks. However, it simultaneously freed up analystsโ time to do more complex work and birthed entirely new financial professions. Similarly, the firm argues, AI will merely change โjob types, occupations, and needed skills.โ
โWhile some roles may be automated, others will see enhancement through AI augmentation, and other, entirely new roles will be created,โ the report said. Rather than a mass extinction event for the white-collar worker, the bank sees the corporate landscape simply preparing for an evolution.
The jobs to come?
So, what will these new jobs look like? Morgan Stanley outlines several emerging professions that it predicts will soon become corporate staples. As AI becomes central to business strategy, companies are expected to hire executive-level โchief AI officersโ to guide technology adoption across departments. There will also be a massive surge in AI governance roles focused on data compliance, policy oversight, and information security, particularly in sensitive sectors like health care.
The tech sector could see the rise of blended roles, such as the product manager/engineer hybrid. Empowered by natural language coding tools, product managers will increasingly engage in โvibe codingโโprototyping and iterating concepts themselves before handing them off to engineers for deployment.
Highly specialized roles could also emerge across various industries. In the consumer sector, โAI personalization strategistsโ and โAI supply-chain analystsโ will blend data science with customer experience. In industrials, we will see โpredictive maintenance engineersโ and โsmart grid analysts,โ while health care will demand โcomputational geneticistsโ and specialists dedicated to AI diagnostic oversight.
For financial markets, the current panic over AI disruption appears premature, if not entirely misplaced, in the bankโs view. Morgan Stanley notes that the services and cyclical industries that have recently seen outsize underperformance owing to disruption fears make up only about 13% of the S&P 500โs market cap.
Fortune previously reported on a similar finding from other Wall Street economists: The market appears to be talking itself into a panic that the fundamentals donโt justify, a trend likely exacerbated by the increasing number of retail investors in the equities market. Apollo Global Management chief economist Torsten Slok warned on Wednesday that the โentire market [is] exposed to a big move,โ reasoning that the share of S&P 500 names moving more than 10% in a single day has increased, while options activity remains โextremely elevated, consistent with heavy retail speculation and leverage-like exposure.โ This leaves the market structure โmore fragile and more vulnerable to an abrupt, outsized move.โ
But what if this time is different?
The Morgan Stanley report offers welcome reassuranceโbut it may be telling a comforting story that doesnโt fit the technological and economic realities of 2026. While itโs true that past waves of automation created as many jobs as they destroyed, AI may represent a qualitatively different shift, targeting cognitive, creative, and decision-making tasks once thought immune to automation.
In a new paper released the same day, two Nobel-winning economists (Daron Acemoglu and Simon Johnson) and another, massively influential one (David Autor, known for his work on โThe China Shockโ) argued that this time really could be different. In โBuilding Pro-Worker Artificial Intelligence,โ published by the Hamilton Project, they warned that โpure automation technologiesโ do the opposite of collaborating with workers: โThey commodify human expertise, rendering it less valuable and potentially superfluous.โ The specific stock of specialized, human expertise could become โobsoleteโ with wide deployment of such technology.
While the Morgan Stanley thesis reflects historical optimism, historyโs lessons may not apply cleanly in a situation with a shift from tools that amplify labor to systems that replace cognition. As warned in the speculative essay by Citrini Research, AI could produce productivity gains that decouple corporate profits from employment even more than in the computing era. If firms can scale output with largely automated workforces, they would have little incentive to rehire at historic rates.
Morgan Stanley cites evidence that corporate America is already reaping tangible rewards from AI adoption. By the fourth quarter of 2025, 30% of companies identified as AI โadoptersโ reported quantifiable financial or productivity benefits from the technology, up from just 16% a year prior. As a result, forward profit margin expectations are actively accelerating for companies successfully utilizing AI. How those margins continue to increase, and how many new jobs those companies create as a result, will bear out whether Morgan Stanleyโs prediction is right.
Written by Nick Lichtenberg for Fortune as โMorgan Stanley predicts AI wonโt let you retire early: Instead, youโll have to train for jobs that donโt exist yetโ and republished with permission.
