Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

Chan Zuckerberg Initiative’s rBio uses virtual cells to train AI, bypassing lab work

OpenAI lawyers question Meta’s role in Elon Musk’s $97B takeover bid 

Google Veo3 Flow Tool Surpasses 100 Million AI-Generated Videos: Major Milestone for AI Video Creation | AI News Detail

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Business AI
    • Advanced AI News Features
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
Finance AI

Your coveted and cushy entry-level Wall Street jobs may soon be eliminated by AI

By Advanced AI EditorJuly 1, 2007No Comments6 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


Artificial intelligence has undoubtedly contributed to society in its early years of adoption, but it has also threatened a variety of job functions. Thus far, frontline jobs like fast food and trucking have been consumed by AI, but there’s ruminating fear that this nascent technology could eliminate even the most high-paying and highly skilled jobs.

Take entry-level Wall Street banking jobs, for example. Incoming junior analysts could be in danger of losing their jobs to AI, according to a 2024 New York Times report. Indeed, big firms are reportedly considering pulling back hiring as much as two-thirds as Wall Street relies more on AI, several people familiar with the matter told the New York Times. This includes people working at the most renowned firms, including Goldman Sachs and Morgan Stanley. These companies did not respond to requests for comment from Fortune.

Meanwhile, junior bankers—who typically work 80 to 100 hours per week—have also complained they’re still on the hook for grunt work that AI was supposed to help them with.

“It’s like being in a fraternity and being a pledge,” Jeanne Branthover, head of global financial services at recruiting firm DHR Global, told Bloomberg. “You gotta put in the work to get upstairs.” Branhover has worked with Wall Street clients including JPMorgan Chase & Co. and Bank of New York Mellon Corp. for four decades.

Still, the junior analyst position at big banks is highly coveted, mostly for its pay and for the career path it bestows upon new employees. These workers are typically tasked with researching financial trends, valuations, and economic data to evaluate risk in any new investments. But in practice, the role involves a lot of tedious and repetitive tasks like updating charts in pitch decks and company valuation comparison tables.

And recently, LinkedIn’s chief economic opportunity officer, Aneesh Raman, said AI is “breaking” entry-level jobs that Gen Z wants.

“While the technology sector is feeling the first waves of change, reflecting A.I.’s mass adoption in this field, the erosion of traditional entry-level tasks is expected to play out in fields like finance, travel, food and professional services, too,” he wrote in a May op-ed for The New York Times.

Longtime industry workers have already seen AI technologies implemented at their places of work to answer financial, risk, and litigation questions, Michael Ashley Schulman, partner and chief investment officer with financial services firm Running Point Capital Advisors, tells Fortune. Schulman previously served as a vice president at Deutsche Bank, which was named in the New York Times report about AI replacing entry-level Wall Street jobs.

Story Continues

“The easy idea is you just replace juniors with an A.I. tool,” Christoph Rabenseifner, Deutsche Bank’s chief strategy officer for technology, data, and innovation, told the New York Times, although he added that humans will still need to be involved in the decision-making process.

Schulman predicts AI won’t necessarily take all entry-level Wall Street jobs away, but the technology will fundamentally redefine the role.

“In its current state, AI won’t eliminate entry-level Wall Street jobs, but it will reduce the number of heads required to accomplish the same task,” Schulman says. “The entry-level job may transition from being a data gatherer to being a data checker, ensuring the AI didn’t miss anything or digging deeper into nuggets uncovered.”

In turn, future Wall Street workers will “look a little more like computer, statistics, and data science majors,” he says. “Although creativity, business, and economic sense will still matter.” It will take a “keen understanding of what makes businesses tick” in order for these workers to rise to the top of their incoming Wall Street analyst classes, and ultimately climb the ranks.

While AI can certainly help streamline routine tasks, including data collection and some surface-level analysis, the technology still doesn’t yet have the same level of judgment as human workers do, Tim Bates, a professor of practice at the University of Michigan’s College of Innovation and Technology who focuses on AI, tells Fortune.

“Instead of replacing jobs, AI is reshaping them, pushing entry-level roles to evolve beyond their traditional contours and emphasizing skills that AI cannot easily replicate,” says Bates, who is the former chief technology officer of Lenovo and General Motors.

Bates says current college students still vying for these coveted entry-level jobs—which can pay up to $128,000 per year, according to Glassdoor—should study the capabilities of AI in undergrad, including data interpretation, strategic decision making, and client management. Still, it’s likely that it will only get more challenging to land one of these Wall Street jobs.

The shift toward AI implementation “is likely to intensify competition, underlining the need for recent graduates to bolster their résumés with specialized skills and perhaps look toward sectors where AI integration is pioneering new roles and opportunities,” Bates says. For current college students vying for a Wall Street position, Bates also recommends looking at jobs in the burgeoning fintech sector as well as consulting and corporate strategy.

To be sure, others believe the effects of AI implementation in the industry could be more short-lived.

“Regardless of how good an AI model is, there is always risk associated with them that the financial industry will have to assess very carefully,” career coach and TED speaker Michelle Enjoli tells Fortune. “I believe that AI will be primarily used in the short term as a resource to assist employees in gathering information, [and] it will take some time for the testing and validation process to be completed in order to determine if it can completely replace an employee.”

For college graduates concerned about the effects of AI on their job prospects, Enjoli recommends staying as up-to-date on the newest developments of the technology as possible.

“AI is another disrupter that is unavoidable that will give employers a reason to reallocate their needs in a different way,” she says. “I recommend that every current and future employee stay on top of AI and how it is affecting their industry so they can prepare accordingly to add value in spite of it.”

A version of this story originally published on Fortune.com on April 16, 2024.

This story was originally featured on Fortune.com



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleIBM (IBM) Forms ‘Hammer Chart Pattern’: Time for Bottom Fishing?
Next Article Asian shares fall after a quiet day on Wall St, but Nvidia hit by US ban on exporting AI chip
Advanced AI Editor
  • Website

Related Posts

Chinese AI firms form alliances to build domestic ecosystem amid US curbs

July 28, 2025

I sat in on an AI training session at KPMG. It was almost like being back at journalism school.

July 26, 2025

How AI is transforming the lives of neurodivergent people

July 26, 2025
Leave A Reply

Latest Posts

French Art Historian Trying to Block Bayeux Tapestry’s Move to London

Czech Man Sues Christie’s For Information on Nazi-Looted Artworks

Tanya Bonakdar Gallery to Close Los Angeles Space

Ancient Silver Coins Suggest New History of Trading in Southeast Asia

Latest Posts

Chan Zuckerberg Initiative’s rBio uses virtual cells to train AI, bypassing lab work

August 22, 2025

OpenAI lawyers question Meta’s role in Elon Musk’s $97B takeover bid 

August 22, 2025

Google Veo3 Flow Tool Surpasses 100 Million AI-Generated Videos: Major Milestone for AI Video Creation | AI News Detail

August 22, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • Chan Zuckerberg Initiative’s rBio uses virtual cells to train AI, bypassing lab work
  • OpenAI lawyers question Meta’s role in Elon Musk’s $97B takeover bid 
  • Google Veo3 Flow Tool Surpasses 100 Million AI-Generated Videos: Major Milestone for AI Video Creation | AI News Detail
  • Inline code nodes now supported in Amazon Bedrock Flows in public preview
  • Why OpenAI’s $500 Billion Valuation Proves The Opposite

Recent Comments

  1. Grovervot on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  2. Grovervot on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  3. kosmetologicheskoe-oborudovanie-963 on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  4. Grovervot on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  5. HihisnHox on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.