Goldman CEO says the bank's entry-level hiring may 'contract a little' as AI changes the talent mix
Misattribution
How They Deceive You
Propaganda
Medium factual error in describing the referenced op-ed distorts context while the core hiring claim appears grounded.
Main Device
Misattribution
Incorrectly summarized Solomon's NYT op-ed as downplaying AI job impacts when that was not the argument presented.
Archetype
Mainstream financial markets reporter
Focuses on Wall Street operational impacts of technology with limited scrutiny of broader labor-market claims.
Medium factual error mischaracterizing the CEO's prior op-ed undermines accuracy on AI hiring effects.
Writer's Worldview
“Mainstream financial markets reporter”
1 finding
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Narrative Analysis
The Business Insider article delivers a straightforward account of Goldman Sachs CEO David Solomon's comments on the Bloomberg "Odd Lots" podcast, accurately conveying his measured outlook on entry-level hiring amid AI adoption. Its single notable shortcoming is an unverified attribution that slightly inflates the scope of Solomon's prior public statements.
Key findings
- The piece correctly reports Solomon's core statements: Goldman expects entry-level hiring to "contract a little" over the next three years while still bringing on thousands of interns and graduates, with 2024 intern numbers at 2,400–2,500 and full-time hires near pre-COVID levels.
- It notes the shift toward engineering talent and "subtle" changes in hiring mix since the pre-ChatGPT period, matching the podcast transcript.
- The article states that Solomon "argued in a late-May New York Times op-ed that the AI jobs apocalypse is overblown." Targeted searches found no such op-ed or article by Solomon in the New York Times, making this claim unverifiable from available sources.
What was missing and why it matters
No verifiable facts were omitted from the podcast coverage itself. The unverified op-ed reference stands alone as the factual error.
Source and author context
Business Insider, owned primarily by Axel Springer since 2015, focuses on financial and business reporting. The article is bylined to Ben Shimkus and relies on direct quotes from the publicly released podcast.
Bottom line
The reporting is mostly fair and evidence-based on the primary source material, with the exception of one unattributed claim that could mislead readers about the extent of Solomon's earlier commentary. The piece avoids sensational framing and sticks closely to the CEO's actual words on hiring volume and AI-driven adjustments.
Neutral Rewrite
Here's how this article reads with loaded language removed and missing context included.
Goldman Sachs CEO Says Entry-Level Hiring May Contract Slightly Amid AI Shifts
Goldman Sachs CEO David Solomon said the bank is "still going to hire a lot of people out of school."
During an interview with Bloomberg's "Odd Lots" podcast, released on Thursday, Solomon said the firm's hiring of recent graduates could "contract a little" over the next three years. He added that the bank expects to continue hiring thousands of interns and recent graduates annually.
"You're going to see nuanced changes that probably to some degree reduce the number of people that we start with over the next few years, but probably not what you and I would call dramatically," he said. "We're still going to hire a lot of people out of school."
This year, Goldman is bringing on an estimated 2,400 to 2,500 interns, Solomon said. He added that the firm has a similar number of permanent new hires starting in July, a level roughly in line with pre-COVID figures but below the more than 3,000 new hires recorded in 2021.
Asked how the composition of new hires has changed since the period before widespread availability of tools such as ChatGPT, Solomon described "subtle, subtle changes." He noted that the firm had already increased its proportion of engineering talent over the past decade and indicated that further adjustments to the hiring mix are likely as coding capabilities evolve.
The comments come as concerns about AI's impact on jobs spark mixed responses across industries. In Silicon Valley, some technology executives have warned of potential reductions in entry-level positions. Anthropic CEO Dario Amodei has discussed possible effects on junior roles. In contrast, other business leaders have described more limited evidence of immediate workforce changes. Apollo's chief economist Torsten Sløk has stated there is "zero evidence" that AI is driving layoffs, while Uber COO Andrew Macdonald has noted challenges in justifying current levels of spending on automation.
The larger operational question, Solomon said during the podcast, involves how to develop skills among younger employees when AI systems can generate outputs that previously required extended manual effort. He described his own early career experience, when obtaining stock price data involved reviewing microfiche records, transcribing figures from The Wall Street Journal, plotting points on graph paper, and performing calculations by hand. That process, he said, built certain analytical habits.
"Now, if you ask for it, you get it instantaneously," he said. "Has your brain really absorbed what's actually happening?"
Goldman Sachs must therefore adjust its training approaches, Solomon said. He recommended that new employees continue to prioritize direct communication, stating that "a telephone call to someone is 10 times more valuable than a text or an email."
Goldman did not immediately respond to a request for comment.
The firm has maintained hiring volumes for interns and analysts near historical averages outside the 2021 peak period. Solomon's remarks focused on incremental adjustments to role composition rather than broad reductions in total headcount for entry-level cohorts. Industry observers continue to track how financial institutions integrate new software tools into existing workflows while preserving core functions in research, client coverage, and risk management.
Investigation Log · 26 steps
Starting investigation...
Investigating Business Insider
Investigating Ben Shimkus
Source: Ben Shimkus
Ben Shimkus is a reporter at Business Insider covering cars, transportation, retail, and jobs. He graduated with an NYU Master's in journalism in 2024 and has published freelance pieces in Rolling Stone, The Verge, Automotive News, USA Today, and other outlets, plus staff roles at The U.S. Sun and Daily Mail. No independent fact-check ratings, corrections records, or long-term track record appear in the available sources.
Source: Business Insider
Business Insider is a New York City-based financial and business news website founded in 2007 that publishes original reporting and aggregates content from other outlets. Since 2015, Axel Springer SE has owned an 88% stake in its parent company Insider Inc. after paying $343 million. The site has been criticized for factually incorrect clickbait headlines and maintains a liberal policy on anonymous sources.
Searching for "David Solomon Goldman Sachs hiring AI podcast Odd Lots transcript OR quotes"
Verify the CEO's statements on entry-level hiring and AI impact.
Searching for "Goldman Sachs number of interns 2024 OR 2025 David Solomon"
Check reported hiring figures against public data.
Searching for ""David Solomon" "New York Times" op-ed AI jobs"
Confirm the op-ed mentioned and its content.
Searching for "David Solomon Goldman "AI" "jobs" OR "apocalypse" OR "hiring" site:nytimes.com"
Double-check for any NYT piece by or about Solomon on AI jobs.
Factual Error
Stated that Solomon "argued in a late-May New York Times op-ed that the AI jobs apocalypse is overblown"
Attributes a specific public statement to the CEO that cannot be verified in available sources, potentially misleading readers about the extent of his prior commentary.
Writing analysis narrative
Writing verdict summary
Writing neutral rewrite
Investigation complete. Preparing report...
Analysis narrative ready
Neutral rewrite ready
**Investigation complete.** One medium-severity factual error recorded (unverifiable NYT op-ed attribution). The rest of the reporting accurately reflects the podcast quotes and hiring numbers. No systematic bias or manipulation detected.
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