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Companies that want to go public without a diverse board may still have to get through Goldman Sachs

12 December 2024 at 12:36
Goldman Sachs

Michael M. Santiago/Getty Images

  • A federal court struck down a rule requiring Nasdaq-listed companies to disclose board diversity.
  • Legal experts say the ruling won't likely impact Goldman Sachs' board diversity mandate.
  • Since 2020, the investment bank has only helped take public clients with diverse boards.

Wall Street's board diversity initiatives are not dead โ€” yet.

On Wednesday, the Fifth Circuit Court of Appeals struck down Nasdaq's efforts to push companies that want to list their stock on its exchange to diversify their boards or explain themselves. Nasdaq has said it will not appeal the decision. The Securities and Exchange Commission, which approved the Nasdaq rule in 2021, has said it is reviewing the decision.

Companies could continue to feel pressure to diversify their boards, however, from other stakeholders including shareholders and even Wall Street banks.

In 2020, David Solomon, CEO of Goldman Sachs, a top underwriter of initial public offerings, announced that the bank would start requiring the clients it helps take public to have at least one diverse board member. In 2021, the bank upped the requirement to two diverse board members, including at least one woman. It has also tasked one of its rising stars with a new role helping corporate clients find diverse board members.

Goldman declined to comment on its board diversity initiative, but legal experts say that the Fifth Circuit ruling should not impact the investment bank. That's because Wednesday's ruling, agreed to by 9 of the circuit's 17 judges, centered on the Securities and Exchange Commission's right to approve the Nasdaq's diversity rules.

The judges said the Securities Exchange Act of 1934 gives the SEC the authority to prevent fraud and promote competition โ€” not enforce diversity disclosures.

Ann Lipton, a professor at Tulane University's law school, however, said that the ruling could still have a chilling effect on banks whose policies are often informed by federal standards.

"If those standards appear to be shifting, investment banks may alter their policies to conform," she said in an emailed statement.

Wall Street has historically been made up of mostly white men and remains so to this day. Following the death of George Floyd at the hands of police in 2020, more bank CEOs have begun personally setting goals to increase diversity at their companies, including at Morgan Stanley and Goldman Sachs.

Some Wall Street's diversity initiatives, however, have been walked back in recent months in light of an influential court ruling that significantly changed the way college campuses can use affirmative action in their admissions process. Bloomberg reported in March on investment-bank recruitment programs originally geared toward minorities that have been quietly opened to everyone.

In January, Goldman told Fortune that it had taken public 300 businesses that adhere to its diversity standards. Last year, the Goldman executive tasked with helping clients identify diverse board members told BI that she had helped facilitate 99 placements since her role was created on the heels of the bank's new diversity mandate.

"Demand was there and supply was there, there was just a market mechanism problem," Ilana Wolfe told BI at the time. "I'm most proud of being able to be that link."

Read the original article on Business Insider

Morgan Stanley has 30 AI projects in the pipeline. Here's how the bank sources employees' ideas for inspiration.

23 November 2024 at 06:40
Wall Street professional analyzing data on multiple screens with AI circuit board pattern in background

Getty Images; Alyssa Powell/BI

  • Jeff McMillan is Morgan Stanley's head of firmwide AI.
  • His team vets all new AI pitches, but business leaders ultimately decide what to use.
  • He outlines the multiple steps involved from pitching an idea to getting it into production.

If Jeff McMillan does his job right, it will look very different in three years.

"Think about it. We don't have a head of PowerPoint at Morgan Stanley or Excel," McMillan told Business Insider. "These are just enabling technologies," he added.

He was named Morgan Stanley's head of firmwide AI in March to help integrate the technology across the firm. While much of his job these days is focused on getting businesses up to speed with AI and implementing it efficiently across the bank, he said his ultimate goal is for the technology to be ingrained into workers' everyday lives.

Since his promotion, McMillan has led the rollout of a few generative AI tools in the bank's wealth-management division, and has more use cases in the pipeline, he said. The bank's push into generative AI has been fueled by its early partnership with ChatGPT-maker, OpenAI, and coincides with Wall Street's recent obsession with generative AI to boost productivity and reduce grunt work for workers.

McMillan encourages employees to pitch new AI solutions. His firmwide team acts as a filter and vets the ideas, which can come from practically anyone who's done the required training at the bank. To avoid creating an unruly situation where thousands of technologists, analysts, and bankers are building their own AI tools, he's devised a rigorous multi-step process that involves pitching solutions to some of the firm's top execs and devising a business value proposition.

Headshot of Morgan Stanley's Jeff McMillan wearing a gray suit, blue shirt, and red tie, against a gray backdrop.
Jeff McMillan was the head of wealth-management tech until his promotion in March.

Courtesy of Morgan Stanley

As part of his role, McMillan co-chairs an AI steering group formalized earlier this year, with Global Director of Research Katy Huberty. The steering committee, which has representatives from each department, vets all AI use cases pitched by employees.

The steering group is working through more than 30 use cases that are in various stages on the way to launch, McMillan said. AskResearch, an assistant that gives investment bankers, salespeople, and traders information found buried in tens of thousands of research reports, is the latest generative AI product to make it through the process since launching McMillan's team.

Many of the pitches the steering committee sees fall into two buckets: use cases that are relevant to several groups, or that matter to a specific team or group of users. For the former, McMillan is able to coordinate teams across the firm to collaborate and build solutions together, with the aim of increasing reusability.

By structuring the AI approval process this way, McMillan hopes to enable the bank to innovate without sacrificing safety.

"While there might be creative tension between experimentation and process, I believe that a rigorous process will ultimately allow us to develop and deploy technology faster and more efficiently," McMillan said.

Inside the 8-step process

Although pitching AI solutions is open to anyone at the firm, there is some leg work involved. Mainly, workers have to complete specific training on governance and AI principles and meet standards around information security.

The AI steering group meets every other week to listen to the pitches, usually going through five or six proposals. The steering group usually either approves or approves with conditions, like rethinking an aspect of the solution or coming together with other teams that pitched similar ideas. In some cases, pitches are rejected โ€” something McMillan says he generally tries not to do.

"I don't want to be in a position where I'm telling people no. I want to tell people yes, and this is the best way to get to it," McMillan said.

For presentations that are approved, the next steps typically involve identifying the people who will execute and figuring out who from tech, legal, compliance, and risk needs to be involved. Workers going through this process also have to articulate deliverables and identify the risks, as well as having a plan for mitigating those risks. That might be a standard set of questions and answers used in testing or making certain teams aware of the potential risk.

They will also have to put together a business value proposition that outlines the benefits, which could be quantifiable, such as decreasing margin or operating costs, finding new revenue streams, or decreasing risk.

Every other week, the AI steering committee meets to review the status of these projects. At the end of the process, the group pitching presents a final time to the steering group for go-live approval to ensure all the conditions are met. Finally, use cases go into production.

"What we're doing is we're helping them prioritize. We're grouping them, and then my team, we handhold you. We say, okay, what are you trying to do? We help you set up the environment. We make sure you've got the right level of APIs, we are by your side as you work with our legal, compliance, and risk process," McMillan said of his business partners.

Read the original article on Business Insider

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