JPMorgan CEO letter to shareholders: „By the end of 2024, we aim to have 70% of applications and 75% of data moved to the public or private cloud”

In his annual letter to shareholders, JPMorgan Chase CEO Jamie Dimon has singled out the „critical impact” of AI and the „essential” importance of migration to the cloud.

Each year, I try to update you on some of the most important issues facing our company. First and foremost may well be the impact of artificial intelligence (AI).

While we do not know the full effect or the precise rate at which AI will change our business — or how it will affect society at large — we are completely convinced the consequences will be extraordinary and possibly as transformational as some of the major technological inventions of the past several hundred years: Think the printing press, the steam engine, electricity, computing and the Internet, among others.

THE CRITICAL IMPACT OF ARTIFICIAL INTELLIGENCE

Since the firm first started using AI over a decade ago, and its first mention in my 2017 letter to shareholders, we have grown our AI organization materially. It now includes more than 2,000 AI/machine learning (ML) experts and data scientists.

We have been actively using predictive AI and ML for years — and now have over 400 use cases in production in areas such as marketing, fraud and risk — and they are increasingly driving real business value across our businesses and functions. We’re also exploring the potential that generative AI (GenAI) can unlock across a range of domains, most notably in software engineering, customer service and operations, as well as in general employee productivity. In the future, we envision GenAI helping us reimagine entire business workflows.

While we are investing more money in our AI capabilities, many of these projects pay for themselves. Over time, we anticipate that our use of AI has the potential to augment virtually every job, as well as impact our workforce composition. It may reduce certain job categories or roles, but it may create others as well.

Recognizing the importance of AI to our business, we created a new position called Chief Data & Analytics Officer that sits on our Operating Committee.

Elevating this new role to the Operating Committee level — reporting directly to Daniel Pinto and me — reflects how critical this function will be going forward and how seriously we expect AI to influence our business. This will embed data and analytics into our decision making at every level of the company. The primary focus is not just on the technical aspects of AI but also on how all management can — and should — use it. Each of our lines of business has corresponding data and analytics roles so we can share best practices, develop reusable solutions that solve multiple business problems, and continuously learn and improve as the future of AI unfolds.

In addition to making sure our data is high quality and easily accessible, we need to complete the migration of our analytical data estate to the public cloud. These new data platforms offer high-performance compute power, which will unlock our ability to use our data in ways that are hard to contemplate today.

OUR JOURNEY TO THE CLOUD

Getting our technology to the cloud — whether the public cloud or the private cloud — is essential to fully maximize all of our capabilities, including the power of our data. The cloud offers many benefits:

1) it accelerates the speed of delivery of new services;

2) it simultaneously reduces the cost of compute power and enables, when needed, an extraordinary amount of compute capability — called burst computing;

3) it provides that compute capability across all of our data; and

4) it allows us to be able to constantly and quickly adopt new technologies because updated cloud services are continually being added — more so in the public cloud, where we benefit from the innovation that all cloud providers create, than in the private cloud, where innovation is only our own.

Of course, we are learning a lot along the way. For example, we know we should carefully pick which applications and which data go to the public cloud versus the private cloud because of the expense, security and capabilities required. In addition, it is critical that we eventually use multiple clouds to avoid lock-in. And we intend to maintain our own expertise so that we’re never reliant on the expertise of others even if that requires additional money.

We invested approximately $2 billion to build four new, modern, private cloud-based, highly reliable and efficient data centers in the United States (we have 32 data centers globally). To date, about 50% of our applications run a large part of their processing in the public or private cloud. Approximately 70% of our data is now running in the public or private cloud.

By the end of 2024, we aim to have 70% of applications and 75% of data moved to the public or private cloud. The new data centers are around 30% more efficient than our existing legacy data centers. Going to the public cloud can provide 30% additional efficiency if done correctly (efficiency improves when your data and applications have been modified, or “refactored,” to enable new cloud services). We have been constantly updating most of our global data centers, and by the end of this year, we can start closing some that are larger, older and less efficient.