Labor-Bottlenecks-Hours-And-Path-Dependence
Sources: 1 • Confidence: Medium • Updated: 2026-04-04 03:50
Key takeaways
- During the 1980s surge in deal volume, banks hired lawyers into banking because they needed older, already-trained professionals and could not scale fast enough by training only new graduates.
- For many modern IPOs, the primary driver shifted from raising growth capital to creating liquidity and a continuously updated public valuation marker.
- Advances in data access and automation have already reduced time required to produce comparable-company analyses and other standard charts, which machines can now largely generate quickly.
- AI and software can already produce outputs that previously required manual Excel modeling, such as discounting a cash-flow stream, with minimal human data entry.
- As informational advantages erode, winning mandates depends less on unique knowledge and more on execution capability and breadth of services embedded in a broader client relationship.
Sections
Labor-Bottlenecks-Hours-And-Path-Dependence
- During the 1980s surge in deal volume, banks hired lawyers into banking because they needed older, already-trained professionals and could not scale fast enough by training only new graduates.
- In the early-to-mid 1980s, long banking hours initially arose from rapid business growth and too few staff, and later became reinforced by an enduring culture.
- Extreme junior-banker hours are often driven more by iterative perfectionism on presentations (slides/formatting) than by building core financial models.
- Junior bankers perceived scarcity of top opportunities and competed to differentiate themselves, increasing incentives to overperform even as roles expanded.
- Modern entry-level candidates often arrive effectively pre-trained through internships and self-study, reducing the need to teach basic financial concepts on the job.
- Late-night work commonly results from senior feedback arriving around 5–6 p.m., which forces juniors to implement changes overnight for morning review.
Ipo-Function-Liquidity-Fees-And-Role-Inflation
- For many modern IPOs, the primary driver shifted from raising growth capital to creating liquidity and a continuously updated public valuation marker.
- The number of U.S. public companies fell by roughly half over about 25 years during which Greenhill operated as an independent firm.
- IPO underwriting fees are not fixed in practice because competition drives fees down substantially for very large offerings relative to the historical 7% norm for smaller IPOs.
- The traditional IPO process persists because moving from private to public requires concentrated investor education and marketing to make the company known quickly to many investors.
- Greenhill chose an IPO rather than selling the firm to realize value while preserving control and maintaining what it viewed as a distinctive culture.
- Lead-underwriter roles in IPOs experienced title inflation, moving from a single clear lead to multiple variants such as global lead, co-global lead, and lead-left.
Information-Asymmetry-Erosion-And-Coverage-Expansion
- Advances in data access and automation have already reduced time required to produce comparable-company analyses and other standard charts, which machines can now largely generate quickly.
- As informational advantages erode, winning mandates depends less on unique knowledge and more on execution capability and breadth of services embedded in a broader client relationship.
- As the number of bankers increased over time, deal origination shifted toward an ongoing dialogue where ideas are co-developed with clients based on constraints and appetite.
- As information became easier to obtain, banking substituted rote data-gathering with saturation coverage, including frequent meetings and deeper analysis across many companies.
- As clients gain near-equal access to data, the scarce value in a one-hour client meeting shifts toward human judgment on tactics, timing, and counterpart psychology rather than quantitative information delivery.
Automation-Ai-And-The-Shrinking-Junior-Pyramid-Hypothesis
- AI and software can already produce outputs that previously required manual Excel modeling, such as discounting a cash-flow stream, with minimal human data entry.
- Bok expects automation of standard analyses to shrink the junior staffing pyramid because machines can quickly produce outputs that previously required all-night manual work.
- Bok expects AI to make banking preparation and communication more efficient while commoditizing informational content and making differentiation harder.
- Earlier technological revolutions in investment banking reduced manual data gathering and were partly replaced by increased volume of client and internal meetings.
- Workplace time allocation is heavily driven by a human tendency to schedule meetings and "touch base."
Competition-Bundling-And-Convergence
- As informational advantages erode, winning mandates depends less on unique knowledge and more on execution capability and breadth of services embedded in a broader client relationship.
- Investment banking shifted from an era of more segmented client ownership to a free-for-all where most large clients are pursued by many banks simultaneously.
- League-table rankings are often not decisive beyond the top tier because many leading firms are comparably competitive, and increased transparency reduced prior gamesmanship in how rankings were sliced and marketed.
- Historically large cultural differences between elite and scrappier banking firms have flattened over time.
- As informational edges diminish and firm cultures converge, competitive advantage in banking may shift toward size, scale, and one-stop-shop service breadth.
Unknowns
- How much have analyst class sizes and the junior-to-senior staffing ratio changed in response to automation of comps, charts, and basic modeling?
- What measurable fraction of junior-banker time is currently spent on presentation formatting/iteration versus modeling/analysis, and how does that vary by product group?
- To what extent do clients actually value and pay for 'judgment in the room' versus standardized information products as information asymmetry declines?
- How often does bundling (lending/hedging/capital markets services) determine mandate outcomes versus standalone advisory capability in competitive bake-offs?
- What is the actual current distribution of IPO underwriting spreads by deal size, and how has that distribution changed over time?