Hitachi Digital: Making AI Pay Off, from the Boardroom to the Factory Floor

Today we are launching Hitachi Digital, a single brand for two of Hitachi’s global digital services businesses, Hitachi Digital Services and GlobalLogic. More than 38,000 of us now work as one team. For the world’s most complex enterprises, that means one partner for both physical and digital transformation, working alongside leading AI, cloud and data ecosystem partners.

Why now? Because AI stopped being a technology question some time ago. It is a question about how an enterprise performs, and most companies are still working out their answer.

The gap between AI activity and AI results

Look at the last three years. Pilots were everywhere, and returns were hard to find. McKinsey’s 2025 State of AI research found that 88% of organizations use AI regularly, but only 7% have fully scaled it and just 39% report any impact on EBIT. That is a lot of effort with very little to show for it on the income statement.

When we dig into why, the models are rarely the problem. AI is only as good as what sits underneath it: the data it reads, the infrastructure it runs on, the knowledge of your own business that keeps it from guessing, the applications whose work it carries out, and the people who govern it. Tokens and cloud capacity are expensive, and many pilots ran on data and cloud that were never built to support AI at scale. When an initiative disappoints, we almost always find a gap somewhere in that foundation.

The window for getting this right is short, too. Cloud took roughly eight years to deliver its full business impact. Data took about seven. AI is on track to take about three. Between 2025 and 2027 all three waves land at once, so you can no longer fund, govern or buy them as separate programs.

What this means for enterprises

AI is a commitment of three to five years, and it reaches into strategy, capital allocation, risk and culture. That is why it belongs on the board agenda. These are the questions we hear most often from the CEOs and directors we work with, and we think they are the right ones:

• Where will AI create enterprise value, and in what order? Who sets the priorities, and on what logic?
• How do we govern it? What accountability, controls and regulatory stance do we need once AI starts acting on our behalf?
• Is the foundation ready? Can our data, cloud and applications carry AI at scale, at a cost we can defend? That includes deciding what stays on premises, what moves to the cloud, what must remain sovereign and what has to run at the edge.
• Are our people ready? AI works when expert employees trust it and lead it. Culture decides the outcome, and it does not come last on the list.
• How do we stay open? Which partners do we pick at each level, and how do we avoid being locked into a single vendor?

Why Physical AI is the larger prize

For some, AI lives purely in the digital world. For the industries we serve, it also has to work in the physical one: factories, process plants, power grids, rail networks, hospitals, mines and supply chains. These “phygital” environments leave little room for error. Resilience, availability and safety come first, and that is also where the most value sits.

Physical AI works as one continuous loop. It senses what is happening in real assets, makes sense of it, simulates the options, decides, acts through trusted systems and learns from the result. Hitachi is well placed to build this. We bring more than 100 years of operational technology and industry knowledge from running mission-critical infrastructure, and we pair it with the digital, data, cloud and security engineering that GlobalLogic and Hitachi Digital Services deliver every day.

The reach is wide. We work across nine industry groups: banking and financial services, healthcare and life sciences, media and entertainment, retail and consumer packed goods, automotive and mobility, industrial and MLEU (manufacturing, logistics, energy and utilities), telecom and networking, hi-tech and semiconductor, and private equity. Within each, we add value across the full industrial lifecycle, from design and engineering through planning, production, operations, maintenance and service, to recycling and improvement. And we engineer the whole stack, from the machine on the shop floor up to the business outcomes that reach the boardroom, with cybersecurity, functional safety, open standards, responsible AI and sustainability built in at every level.

The results are the ones boards already track: higher productivity and quality, faster innovation and time to market, lower cost and risk, greater resilience and safety, lower emissions and more circular operations.

Why Hitachi Digital

We believe very few firms, and possibly none, can deliver all three things this moment demands from under one roof:

• Reimagine and re-architect. Industry consulting and organizational change management.
• Re-engineer. Digital, data and platform engineering.
• Operate. Cloud, site reliability, FinOps and IT/OT operations.

Our AI-era service lines follow where the value is: Data and Intelligence; Cloud and Site Reliability Engineering; Enterprise Platforms; and Physical AI. Our Forward Deployed Engineers sit with your teams and with our ecosystem partners, inside your enterprise and operational environments, from strategy all the way through to running the systems day to day. We tie our work to your business results. The goal is a foundation that scales, lasts and produces outcomes you can measure.

If you would like to discuss what this means for your enterprise, contact us.