January 19, 2024
Centerview Partners ranked sixth in a dealmaking league table last year, helping arrange almost 12% of global deals by value, while its co-founder Blair Effron argued that the next generation may not win by becoming great coders. He said that in 10 years, coding skill may matter less than judgment, critical thinking and the ability to ask the questions that need to be asked. That is a striking message from a banker known for involvement in some of the largest deals in U.S. corporate history. It is also a direct challenge to the comfortable assumption that technical training alone is the safest path into high-end finance. For investment banking recruiting, the lesson is uncomfortable but useful: the model may get you in the room, but judgment is what keeps you there.
Effron’s point is not that technical skill is useless. His argument is that artificial intelligence is likely to replace some traditional skill sets associated with science, technology, engineering and mathematics. At Centerview, he said hiring is becoming less about whether someone can build a great model and more about whether that person has the mental habits needed to evaluate situations. That shift matters because banking has long treated financial modeling as a proxy for seriousness, stamina and competence. The better view is that modeling is becoming table stakes, while interpretation is becoming the premium skill.
Artificial intelligence has forced executives, economists and educators to reassess what kinds of human ability will remain valuable. Effron said business schools will also need to review their own business models and adapt. Christopher Pissarides, a Nobel Prize-winning labor market economist, has similarly argued that young people should focus on empathetic skills in an AI-dominated economy. The common thread is that human advantage may migrate toward judgment, empathy and decision-making under uncertainty. That should make students more serious, not less serious, about learning how to think.
The same logic applies to mergers and acquisitions. Effron said growing optimism among C-suite executives that the U.S. avoided a significant downturn could support a rebound in deal activity. He noted that if M&A has averaged a $4 trillion market over the past five years, there is no reason it cannot return to that level again in 2024, while admitting that “hope springs eternal.” Ken Moelis offered a more cautious view, warning that the consumer is “running out of gas.” Sharp declines in consumer spending, Moelis said, could accelerate Federal Reserve rate cuts and encourage more deals.
That debate shows why judgment matters more than memorized answers. A banker has to weigh CEO confidence, consumer weakness, interest rates, political risk and buyer appetite at the same time. Effron also warned that a second Donald Trump term could create risks if it alienated valuable allies, while saying President Joe Biden’s work on the economy was underappreciated. Whether one agrees with that political view or not, the broader banking point is clear: markets are shaped by institutions, relationships and trust, not just spreadsheet outputs. In interviews, candidates who can connect those forces thoughtfully will sound more like future advisers than spreadsheet operators.
Effron’s warning is ultimately not anti-STEM. It is anti-complacency. If AI can produce more of the technical work, young professionals need to protect and cultivate the qualities machines do not easily supply: judgment, conscience, curiosity and the courage to ask better questions. Wall Street will still reward effort, but it may reward discernment even more.