Connect with us

Technology

Visualizing the Future of Banking Talent

Published

on

View a high resolution version of this graphic

The Future of Banking Talent

Visualizing the Future of Banking Talent

View the full-size version of the infographic by clicking here

Many organizations say that their greatest asset is their people. In fact, Richard Branson has famously stated that employees come first at Virgin, ranking ahead of customers and shareholders. So, how do businesses effectively manage this talent to drive success?

This question is top of mind for many bank CEOs. As processes become increasingly automated and digitized, the composition of banking talent is changing – and banks will need to become adept at hitting a moving target.

Six Ways Banks are Becoming Talent-First

Today’s infographic comes from McKinsey & Company, and it explores six ways banks are becoming talent-first organizations:

1. They understand future talent requirements.

43% of all bank working hours can be automated with current technologies.

Consequently, talent requirements are shifting from basic cognitive skills to socio-emotional and technological skills. Banks will need to analyze where they have long-term gaps and develop a plan to close them.

2. They identify critical roles and manage talent accordingly.

It is estimated that just 50 key roles drive 80% of bank business value. Banks will need to identify these roles based on data rather than traditional hierarchy. In fact, 90% of critical talent is missed when organizations only focus at the top.

Then, banks must match the best performers to these roles and actively manage their development.

3. They adopt an agile business model.

Banks will need to shift from a hierarchical structure to an agile one, where leadership enables networks of teams to achieve their missions. As opportunities come and go, teams are reallocated accordingly.

This flexible structure has many potential benefits, including fewer product defects, lower costs, shorter time-to-market, increases in customer satisfaction, and a bump in employee engagement.

4. They use data to make people decisions.

Instead of making decisions based on subjective biases or customary practices, banks will need to rely on the power of data to:

  • Recruit
  • Retain
  • Motivate
  • Promote

For example, company data can be used to develop a heatmap of the roles with the highest attrition rates. Leaders can then focus their retention efforts accordingly.

5. They focus on inclusion and diversity.

Gender and ethnicity diversification leads to higher financial performance, better decision making, higher employee satisfaction, and an enhanced company image.

Industry-leading banks will set measurable diversity goals, and re-evaluate all processes to expose unconscious biases. For example, one organization saw 15% more women pass resume screening when they automated the process.

6. They ensure the board is focused on talent.

Only 5% of corporate directors believe they are effective at developing talent.

To be successful, boards will need to recognize Human Resources (HR) as a strategic partner rather than as a primarily transactional function. The CEO, CFO, and CHRO (Chief Human Resources Officer) form a group of three that makes major decisions on human and financial capital allocation.

CEOs worldwide see human capital as a top challenge, and yet they rank HR as only the eighth or ninth most important function in a business. Clearly, this is a disconnect that needs to be addressed. To keep up with rapid change, banks will need to bring HR to the forefront – or risk being left behind.

Subscribe to Visual Capitalist
Click for Comments

Technology

Nvidia Joins the Trillion Dollar Club

America’s biggest chipmaker Nvidia has joined the trillion dollar club as advancements in AI move at lightning speed.

Published

on

Nvidia Joins the Trillion Dollar Club

Chipmaker Nvidia is now worth nearly as much as Amazon.

America’s largest semiconductor company has vaulted past the $1 trillion market capitalization mark, a milestone reached by just a handful of companies including Apple, Amazon, and Microsoft. While many of these are household names, Nvidia has only recently gained widespread attention amid the AI boom.

The above graphic compares Nvidia to the seven companies that have reached the trillion dollar club.

Riding the AI Wave

Nvidia’s market cap has more than doubled in 2023 to over $1 trillion.

The company designs semiconductor chips that are made of silicon slices that contain specific patterns. Just like you flip an electrical switch by turning on a light at home, these chips have billions of switches that process complex information simultaneously.

Today, they are integral to many AI functions—from OpenAI’s ChatGPT to image generation. Here’s how Nvidia stands up against companies that have achieved the trillion dollar milestone:

Joined ClubMarket Cap
in trillions
Peak Market Cap
in trillions
AppleAug 2018$2.78$2.94
MicrosoftApr 2019$2.47$2.58
AramcoDec 2019$2.06$2.45
AlphabetJul 2020$1.58$1.98
AmazonApr 2020$1.25$1.88
MetaJun 2021$0.68$1.07
TeslaOct 2021$0.63$1.23
NvidiaMay 2023$1.02$1.02

Note: Market caps as of May 30th, 2023

After posting record sales, the company added $184 billion to its market value in one day. Only two other companies have exceeded this number: Amazon ($191 billion), and Apple ($191 billion).

As Nvidia’s market cap reaches new heights, many are wondering if its explosive growth will continue—or if the AI craze is merely temporary. There are cases to be made on both sides.

Bull Case Scenario

Big tech companies are racing to develop capabilities like OpenAI. These types of generative AI require vastly higher amounts of computing power, especially as they become more sophisticated.

Many tech giants, including Google and Microsoft use Nvidia chips to power their AI operations. Consider how Google plans to use generative AI in six products in the future. Each of these have over 2 billion users.

Nvidia has also launched new products days since its stratospheric rise, spanning from robotics to gaming. Leading the way is the A100, a powerful graphics processing unit (GPU) well-suited for machine learning. Additionally, it announced a new supercomputer platform that Google, Microsoft, and Meta are first in line for. Overall, 65,000 companies globally use the company’s chips for a wide range of functions.

Bear Case Scenario

While extreme investor optimism has launched Nvidia to record highs, how do some of its fundamental valuations stack up to other giants?

As the table below shows, its price to earnings (P/E) ratio is second-only to Amazon, at 214.4. This shows how much a shareholder pays compared to the earnings of a company. Here, the company’s share price is over 200 times its earnings on a per share basis.

P/E RatioNet Profit Margin (Annual)
Apple30.225.3%
Microsoft36.136.7%
Aramco13.526.4%
Alphabet28.221.2%
Amazon294.2-0.5%
Meta33.919.9%
Tesla59.015.4%
Nvidia214.416.19%

Consider how this looks for revenue of Nvidia compared to other big tech names:

For some, Nvidia’s valuation seems unrealistic even in spite of the prospects of AI. While Nvidia has $11 billion in projected revenue for the next quarter, it would still mean significantly higher multiples than its big tech peers. This suggests the company is overvalued at current prices.

Nvidia’s Growth: Will it Last?

This is not the first time Nvidia’s market cap has rocketed up.

During the crypto rally of 2021, its share price skyrocketed over 100% as demand for its GPUs increased. These specialist chips help mine cryptocurrency, and a jump in demand led to a shortage of chips at the time.

As cryptocurrencies lost their lustre, Nvidia’s share price sank over 46% the following year.

By comparison, AI advancements could have more transformative power. Big tech is rushing to partner with Nvidia, potentially reshaping everything from search to advertising.

Continue Reading

Subscribe

Popular