Finance
College Students: Don’t Work on Wall Street
Last year, more graduates of my alma mater, Georgetown University, reportedly went to work in investment banking than any other industry. Combined with financial services, it made up nearly a quarter of new Georgetown graduates entering the workforce. Even among graduates of the School of Foreign Service, investment banking was second only to management consulting — hardly foreign nor service, let alone foreign service, as many fellow alumni often note sardonically.
Georgetown is certainly not the only elite university churning out investment bankers. The Harvard Crimson’s 2023 senior survey put finance at the top of the graduate career placement list, with over 22 percent of 2023 graduates entering the workforce. Princeton University’s data likewise indicates that 20 percent of reported employment outcomes for graduates between 2016 and 2023 were in finance. But just because going into finance is normalized doesn’t mean it’s normal. Finance has both epitomized and accelerated economic inequality in the United States for decades, redistributing money upward while undermining the common good. Finance may be a popular career choice for graduates from the nation’s top schools, but there’s nothing inevitable about it.
To explain how we got here, we must go back to 1980. That pivotal year, Ronald Reagan was elected president, poised to unleash a slew of economic reforms — chief among them drastic tax cuts, primarily benefiting the wealthy, and deregulation across the board. The year titles Part I of Tom McGrath’s book Triumph of the Yuppies, a comprehensive profile of the Young Urban Professionals, the subset of Baby Boomers whose characteristic candid obsession with money and status left a lasting mark on American culture.
As the postwar economic boom began to die down in the 1970s and the New Deal coalition began to unravel, the promise of financial security, if not comfort, was no longer guaranteed. At the same time, McGrath cites research indicating that the 1970s saw a growing emphasis on individual happiness over the collective well-being that was celebrated by the hippie counterculture and New Left social movements of the ’60s. For a subset of the population, these factors combined manifested in the open, shameless desire to make and accumulate money above all else.
The number of students graduating with MBAs began to skyrocket in the 1970s. At the same time, more and more young people gravitated toward cities in pursuit of a cosmopolitan experience, chic with a touch of urban grit. More importantly, though, major cities began to host the burgeoning so-called “ideas industry,” which included financial services, and the Yuppies wanted in. While investment banks had played a key role in raising capital for industrial growth during the postwar era, the economic downturn in the 1970s fomented uncertainty within the industry. Deregulation and technological advances, combined with this “rush of new blood” as McGrath calls it, incentivized investment banks to lean into money-making operations, using their own money to buy and sell securities to generate profits.
Triumph of the Yuppies describes the advent of shareholder primacy — the idea that corporations’ sole responsibility is to their shareholders — as a useful justification for corporations to abandon social responsibility. An important piece of the puzzle that McGrath leaves out, however, is the memo “Attack on the American Free Enterprise System,” which Lewis Powell authored in 1971, months before acceding to the Supreme Court. The confidential memo advocated for a more aggressive approach to instilling free-market values in the face of what he considered to be a broad-based attack on corporate freedom.
Powell’s memo calls out college campuses as a major ideological battleground. Its publication helped establish a framework for organizations like the Federalist Society and Young America’s Foundation, which undertook to infiltrate college campuses and promote right-wing economic ideas. Their campaigns were extraordinarily successful in breaking the Left’s political hold over elite universities’ student bodies. By the mid-1980s, McGrath writes:
Fifteen years earlier, graduates of the country’s most elite colleges had often been concerned with trying to improve the state of the world. Now, the focus was different: How can I be as financially successful as possible?
And financial institutions were there on the other end to reap the rewards, funneling the burgeoning Yuppies into a career best suited to their new values.
Investment banks like Goldman Sachs and J. P. Morgan began to offer the first entry-level analyst positions in the early to mid-1970s, intending to capitalize on an influx of new talent and groom them for success. The applicants flooded in, but spots were limited. The appeal was straightforward: the position paid well, and analysts could count on attending the business school of their choice after a two-year commitment or, in exceptional cases, promotion directly to associate. McGrath cites several news features from the time, such as a June 1986 New York Magazine piece entitled “The Young and the Sleepless,” which detailed the sacrifices that these young analysts made in pursuit of a high-rolling future. The work itself, despite their titles, rarely involved analysis — many of them were glorified secretaries, or they put together “presentation books” for clients, the slide decks of the day. It’s worth mentioning too that given the extreme weekly time commitments, their hourly wages were not exorbitant, and they barely had time to spend any of it.
Nevertheless, a feedback loop generated prestige around these positions. The money was still better than what most college grads were making. And, as McGrath describes, the ritualistic culture, promise of high-level business exposure, and competition for limited positions naturally fostered exclusivity. This cycle was further legitimized by the elite universities whose graduates were the targets of the initial recruitment efforts, and later, whose business schools would accept any applicant coming from a two-year analyst role. Those graduates would become alumni, players in the all-important networking charade.
The graduates who went to work as financial analysts in the 1980s had given up the notion that they should be making a positive contribution to society, once taken for granted among graduates of top schools. To illustrate the point, the Peace Corps was enrolling fifteen thousand graduates per year in the 1960s and ’70s, but only five thousand by the end of the 1980s. It had been replaced by the Finance Corps, where nobody even pretended to be making the world a better place.
But that doesn’t mean they had no impact on the world. On the contrary, these young professionals participated in the redefinition of “value” solely in terms of maximizing shareholder returns. Many of the mergers and hostile takeovers of the mid-1980s made little to no strategic sense, primarily taking place in order to dissect and sell the resulting entities for parts, largely to pay off the debt that the buyer incurred by pursuing the deal in the first place. Wall Street investment firms were both “the instigators and the beneficiaries” of these deals, as McGrath describes, since the payout in fees for facilitating them was considerable.
The stock market improved 27 percent in 1985, but most of that “growth” resulted from merger activity rather than increases in productivity. With the antitrust apparatus defanged, no one asked questions about whether this was good for the economy overall. The hundreds of thousands of people who were laid off during this time, though, would likely give a different answer from the average Yuppie. The winners and losers had never been clearer, the gap between them never wider, and nothing was trickling down. The prestige of financial services firms took a slight hit in the late 1980s. A series of insider trading scandals, the crash of the overvalued stock market on Black Monday in 1987, and the general sense that the rise of Wall Street had something to do with declining living standards for average Americans all started to inspire a backlash. Perhaps the young Icaruses had flown too close to the sun.
The backlash could have led to a profound reckoning. Instead, finance doubled down. While the industry curried favor with successive post-Reagan presidents — just as much with Bill Clinton as with George H. W. Bush — it continued to wage its charm offensive on US campuses. Many of the entry-level analysts of the 1980s were now well-heeled alumni, which made the task significantly easier.
A remarkable reputation laundering effort was underway. For example, at Georgetown, my graduate program was housed in the Mortara Center for International Studies. Michael Mortara featured prominently in Liar’s Poker: Rising Through the Wreckage on Wall Street, Michael Lewis’s semi-autobiographical account of his time within the money-obsessed culture at Salomon Brothers.
Steven Mnuchin, who worked under Mortara at Goldman Sachs starting in 1985, singled him out during his 2017 Senate confirmation hearing for “starting the mortgage-backed securities market.” Mortara died tragically in 2000, before he could see the destruction that his invention wrought in 2008. And yet his name graces the global studies center at Georgetown, despite his never having positively influenced international affairs. The strategy is modeled after that of the robber barons, who slapped their names on colleges across the nation during the Gilded Age.
In my experience, there is much less discussion than there should be about what graduates entering finance are doing on the macro level — that is, beyond making a prudent personal career move and earning a lot of money right out of the gate. Questions about who these employers are and what they stand for, and what they plan to use these young people’s labor for, seem to belong to a bygone era when people felt compelled to answer for the social import of their postgraduate career choices. Now, no justification is required — the money and prestige speak for themselves. For finance-oriented elite university grads, the ultra-prestigious Goldman Sachs is the next Harvard to get into. But Goldman is also a particularly heinous example of how the profit incentive characterizes the contemporary financial services industry. In addition to its role in the 2007–8 global financial crisis, Goldman was also implicated in the sprawling, multibillion-dollar 1MDB scandal, a corruption, bribery, and money laundering scheme into which investigations are ongoing.
There is reason to believe that criminality is baked into its business model, given the sheer amount of disciplinary actions and lawsuits that federal regulators have brought against it over the last few decades. The fines that Goldman has been obligated to pay as a result of its crimes pale in comparison to the amount of taxpayer funds it has received from government bailouts, implicitly validating its illegal and immoral behavior.
None of this, of course, makes it to the ears of college students interested in breaking into the industry — or, if it does, misdeeds are brushed aside as a series of exceptions to the rule.
Like the younger Baby Boomers who graduated college in the late 1970s and early 1980s, Gen Z is emerging into a precarious economy amid a culture of arch-individualism, this time driven by self-promoting influencers and entrepreneurs. While it is considered more gauche for Gen Z to embrace the fashion and luxury goods that once signaled membership within a status-driven and money-crazed ingroup, the Yuppies nevertheless blazed a clear, well-trodden trail to “success,” which strikes many new elite college grads as irresistible.
But there are some crucial differences between the Yuppies and the Gen Z Finance Corps, too — namely, the financial pressures on the latter are far more intense. While real estate in urban centers was cheap for young professionals in the late 1970s and early 1980s, as McGrath describes, the pattern that they set off means that rent in major cities is now prohibitively expensive for those who aren’t working in high-earning industries. Post-grads still want to live a cosmopolitan lifestyle, but they can hardly afford to do it if they don’t trade their soul for a high-earning job. In addition, college is harder to get into and more expensive every year, so there is tremendous pressure to make a college degree “worth it” by pursuing a lucrative entry-level role. University career centers are more than happy to shepherd risk-averse students down these paths, especially since their own metrics of success are largely dictated by the earnings of their graduates. Likewise, their finances mean they are increasingly beholden to their wealthiest donors, many of whom are likely at this point to have made the leap from the classroom to the bullpen.
Not every college grad going into finance hopes to stay in finance. Investment banking is perceived as one of the early-career fields with the most future optionality for anyone interested in the broader corporate world. By way of illustration, only about a third of 2022 Harvard grads going into finance hoped to remain in the industry ten years after graduation. The other two-thirds presumably viewed it instead as a stepping stone — perhaps even one they privately found mildly distasteful, albeit not enough to avoid altogether. Then as much as now, exposure and connections are even more valuable than the exorbitant salaries. The prestige factor is also perceived similarly; long hours and high expectations, even for what is often mindless work, are a test of one’s fortitude and commitment.
The incentives themselves are not college graduates’ fault. Nevertheless, when many of the nation’s top universities’ most intelligent, ambitious, and hard-working graduates get funneled into Wall Street each year, their talents are wasted. The cumulative opportunity costs of each student who enters finance, instead of a career path that contributes meaningfully to social good, are staggering. Each new incoming class of entry-level finance analysts further cements the premise of wealth accumulation as an all-encompassing goal.
It’s par for the course for top-school graduates to go into finance now. But when we adopt a broader perspective on the industry’s role in reshaping society and its values, it really shouldn’t be.
Finance
How Natura &Co Is Transforming Finance with Generative AI on SAP S/4HANA
For a company navigating one of the most consequential transformations in its history, financial clarity is not optional—it is essential. Natura &Co, the Brazilian personal care and cosmetics group behind iconic brands such as Natura and Avon, has long been committed to combining purpose-driven business with commercial performance. After a period of strategic portfolio reshaping, including the divestiture of its Aesop and The Body Shop holdings, the company is now sharpening its focus on profitability and operational excellence across Latin America and global markets.
At the center of that effort sits a deceptively complex challenge: understanding, in real time, which revenue and cost factors are driving or eroding gross margin across a highly diversified business. For years, answering that question meant manual reporting, delayed insights, and finance teams spending valuable time on data gathering rather than analysis.
That’s now changing, thanks to a co-innovation initiative developed together with SAP and Numen, a global SAP partner specializing in digital transformation and enterprise software implementation.
From manual reporting to proactive decision intelligence
The project’s goal was to replace a labor-intensive gross margin analysis process with a generative AI application embedded directly into Natura &Co’s financial workflows. Built on SAP Business AI Platform, SAP’s unified foundation integrating business technology, data, and AI capabilities, the application connects directly to data in SAP S/4HANA to provide finance teams with automated insights and narrative recommendations in real time, without the need for manual data pulls or offline reporting.
The application enables users to explore revenue, cost, and margin drivers interactively, identifying at a glance which elements are protecting or eroding margin performance across markets and product lines. Crucially, human oversight remains central to the design: the AI application generates insights, while finance professionals retain full control over interpretation and decisions.
“The implementation of gross margin analysis using AI in SAP S/4HANA marked an inflection point in the analytical capability of our finance area,” said Rogério Dias Garcia, tech manager, ERP Latam, Natura &Co. “We overcame delays and raised the standard of insights by integrating margin analysis from SAP S/4HANA with a large language model connected via the SAP AI Core layer. This architecture allowed us to provide, in an agile, secure, and completely anonymous manner, a stratified and precise view of gross margin offenders and protectors—discriminating exactly which revenue or cost elements were driving market performance.”
A collaborative architecture for scalable AI adoption
Natura &Co’s application derived from a prototype SAP partner Numen created in early 2024 at SAP’s global Hack2Build on business AI, leveraging the generative AI capabilities of SAP Business AI Platform. The solution was designed and developed through close collaboration between Natura &Co, Numen, and SAP. From the outset, the approach was to align AI adoption with concrete business priorities, ensuring the application would be scalable and production-ready rather than a standalone prototype.
Numen brought deep SAP implementation expertise to the project, combining knowledge of SAP S/4HANA architecture with hands-on experience in building solutions on SAP Business AI Platform. The technology stack—SAP S/4HANA, SAP AI Core, SAP Fiori, and SAP Business Technology Platform—provided the secure, integrated foundation needed to connect financial data with generative AI capabilities in an enterprise context.
“SAP enabled the transformation by providing the technological foundation and expert support,” said Carlos Aravechia, head of Data Design & Intelligence at Numen.
The success of the project has validated a broader conviction at Natura &Co: that generative AI, embedded directly in ERP workflows, can fundamentally reposition finance from a transactional function to a strategic business partner.
A blueprint for other businesses
The Natura &Co project demonstrates a pattern that other organizations can replicate, particularly those running SAP S/4HANA. The combination of structured ERP data with the contextual reasoning capabilities of large language models creates a foundation for decision intelligence that goes well beyond traditional business intelligence tools.
The project was built within a six-month co-innovation sprint and went live in August 2025. It is currently in use across Natura &Co’s Equador operations.
Looking ahead, Natura &Co is already planning the next phase: integrating Joule Agents to further automate the extraction of standard analytical content and deepen the AI-driven optimization of financial processes.
“The success of this initiative validates the transformative potential of embedded AI within our ERP,” Dias Garcia noted. “We are now ready to move forward—deepening these insights and integrating the capability of Joule Agents to maximize the extraction of standard content and further optimize our business decisions.”
For SAP customers evaluating how to move from AI experimentation to AI in production, the Natura &Co project offers a concrete, replicable model: start with a high-value, well-defined business process, embed AI directly into existing workflows, and build in human oversight from the start.
Finance
Low-income Chinese girl aces gaokao, inspires live-streamers offering help
A girl from a disadvantaged rural family in central China topped this year’s gaokao, attracting numerous live-streamers eager to finance her education, which she declined.
The home of 18-year-old secondary school graduate Han Yaping in a Henan province village was recently bustling with live-streamers.
This attention came after Han achieved an impressive score of 699 out of 750 in the gaokao, China’s national college entrance exam.
She has received offers from China’s two leading universities, Tsinghua University and Peking University.
Han’s accomplishment is particularly remarkable given her family’s impoverished circumstances.
Her mother suffers from ankylosing spondylitis, an inflammatory arthritis affecting the spine, preventing her from working. Her father, who earns a living through farming and odd jobs, serves as the family’s sole provider. Han also has a younger sister.
Finance
UK financial regulator publishes landmark AI review
The UK’s Financial Conduct Authority (FCA) published a landmark review on Monday that proposes recommendations to regulate the impact of artificial intelligence (AI) on the financial decisions made by consumers.
The review, titled the Mills Review, anticipates that both consumers and firms will start delegating “more financial decision-making to AI systems,” including for agreements, initiating transactions, and executing decisions “within agreed parameters.” One of the key findings of the review outlined that while AI can help bridge advice gaps and “support growth,” there remain risks “associated with fraud, cyber security, and consumer harm.” Conducting the review, Sheldon Mills highlighted that “AI can also amplify risks: bias, discrimination, exclusion, opaque decision-making (particularly when multiple AI models interact), misleading or hallucinatory advice and erosion of consumer trust.”
The review stated that presently, one in five adults in the UK are “already open to AI making decisions for them,” particularly when decisions feel “complex or high stakes.” It found that roughly 26 percent of the population “trust general-purpose tools such as ChatGPT, Claude or Gemini for financial advice” with little awareness that such platforms provide no “formal routes to recourse” or protections.
Overall, the Mills Review identified four areas that it anticipates will be impacted by AI in the financial sector: “the transformation of firms,” “new consumer journeys,” “a reshaped competition landscape,” and “amplified financial crime and cyber risk.” The FCA projected the shift in how consumers and firms consult AI to take place by 2030.
The Mills Review put forth seven “priority” recommendations to be considered by the FCA Board. It recommended that any transitions to autonomous AI models be monitored and that regulatory frameworks and perimeters be adapted and secured. The review called for the strengthening of “system-wide coordination and oversight,” the scaling up of the FCA’s AI Lab to enable it to support AI models and innovation for agentic finance, and an “AI-enabled agentic supervisory model” to be built and adopted. Finally, it recommended that a trusted “public-interest AI-enabled financial capability service” be developed.
The FCA announced, in the press release, that it will launch an AI “good and poor practice publication” in late 2026.
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