As enterprises move into 2026, the way artificial intelligence success is defined and measured is undergoing a fundamental shift. For JPMorganChase, one of the world’s largest institutional technology investors, the question and the measurement of artificial intelligence success is no longer mainly focused on single AI benchmarks or trials. The main focus is rather on the clear and concrete end-to-end business value.
This view comes from Arvind Joshi, COO and CFO for Global Technology at JPMorganChase, who, with a vast experience of the firm’s technology operations, investment discipline, and modernization strategy, oversees the area deployed with nearly $18 billion of annual technology spend. Not many leaders sit closer to the intersection of AI ambition and operational reality than he does.
In his 2026 outlook, Joshi explains why value-per-employee is becoming the most important KPI for measuring AI impact on a business and how JPMorganChase is already putting this change into practice extensively.
AI Copilots and Productivity at Scale
JPMorganChase’s innovative application of AI copilots in software engineering is a clear demonstration of the value-per-employee approach.
The company, however, sees this as the mere tip of the iceberg. Instead of using AI for just a few isolated tasks, the company is figuring out how AI can help the entire software development lifecycle become more efficient.
Beyond the productivity figures, the changes bring about the possibilities of faster innovation and better delivery for the clients. This is because, through engineering capacity and cycle times, client needs can be met more quickly and efficiently.
Re-Imagining End-to-End Workflows
Gathering their thoughts, Joshi stated that the leading firms in the AI era would be those who dared to challenge their old methods and processes through the use of AI rather than just using it for incremental improvements.
This notion is indicative of further maturity in the field of AI in business. The subsequent leap in value would not be making more AI models but restructuring the workflow that involves interaction between systems, teams, and decision points.
Why Value Per Employee Will Define 2026 Success
As 2026 prediction and trend planning gets underway, we sat down with Arvind Joshi, COO & CFO for Global Technology at JPMorganChase.
Arvind oversees technology operations, investment discipline, and modernization strategy for a firm that deploys $18B in annual technology spend, giving him a unique view into how enterprises are defining and measuring value in the AI era. In his 2026 outlook, Arvind highlights why value-per-employee will become the leading KPI for assessing AI’s impact — and how JPMorganChase is already bringing this to life through initiatives like AI copilots for software engineering, which are improving developer productivity and accelerating innovation at scale.
Commentary, attributable to Arvind Joshi, COO & CFO for Global Technology at JPMorganChase:
As we enter 2026, the paradigm for implementing and measuring AI success is evolving rapidly. The era of evaluating progress by technical benchmarks—such as model accuracy, the number of use cases, AI adoption in select process components—is giving way to a more sophisticated, E2E value-driven approach. The true measure of AI now lies in its ability to deliver meaningful, measurable impact on organizational productivity, strategic agility and long-term growth.
Rather than focusing solely on obvious metrics like dollar savings and efficiencies generated, which can sometimes oversimplify or obscure the true impact, leading organizations will emphasize how AI meaningfully enhances and changes end-to-end workflows, resulting in step function change in value. At JPMorganChase, coding assistant tools have enabled software engineers to shorten the coding phase of development by 10-20%, allowing them to dedicate more time to high-value, strategic initiatives. We are now looking at how AI will optimize the entire SDLC, which includes planning, development, testing, review and deployment. These productivity gains will directly expand our capacity to deliver more for our clients, accelerate cycle times and drive business growth.
Equally important is our commitment to the responsible use of AI which is a core principle that underpins trust and long-term value for our clients, employees, and stakeholders.
Looking ahead, organizations that empower their teams to re-imagine full business processes from start to finish leveraging the entire AI toolset – will set new standards for digital productivity and industry leadership.
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