SoftBank, robotics and data centers: the 100 billion bet

The timeline of an unprecedented strategic move

By the end of April 2026, SoftBank announced plans to set up a new company focused on building data centers using industrial robotics and artificial intelligence. According to reports by TechCrunch , the Japanese group is reportedly already considering an IPO with a target valuation of 100 billion dollars.

The underlying logic is as simple as it is disruptive. Building AI infrastructure requires data, energy, and physical space. Therefore, SoftBank has decided to automate the very process of building these infrastructures, creating a loop where AI and robots build the data centers that power even more AI.

Plus, the timing isn't random. The global data center market is under extreme pressure. The demand for computing power is growing at a pace that traditional construction struggles to keep up with. As a result, anyone who manages to speed up and cut construction costs gains a massive structural advantage.

Who wins and who is at risk in this scenario

The clearest winners are SoftBank itself and its investors, along with big hyperscalers like Microsoft, Google, and Amazon. After all, if data center build costs drop thanks to automation, the whole cloud supply chain wins. At the same time, makers of industrial robots and construction tech gear could see demand shoot up.

On the other hand, traditional construction contractors specializing in tech infrastructure are facing a real threat. Advanced robotics doesn't just replace general labor: it replaces specialized technical skills that are currently very costly. Therefore, the impact on employment in this sector could be significant as early as 2027-2028.

Among the players in an ambiguous position are mid-sized cloud computing companies. Even so, in the long run, they too could benefit from cheaper infrastructure to build and run. The critical variable is time: whoever adapts first captures the competitive edge.

SHM Studio's take: beyond the financial headline

We at SHM Studio Let's look at this news on two different levels. The first is macroeconomic: a 100 billion IPO signals that the market considers the convergence of robotics and digital infrastructure to be one of the highest growth sectors of the next decade. The second level is operational for Italian SMEs.

Specifically, lower data center construction costs have historically led to cheaper cloud rates within 18-36 months. Therefore, Italian companies that rely on cloud services today for their AI strategy or for data management could benefit from more favorable economic conditions in the short to medium term.

However, it would be a mistake to wait passively. In fact, companies that in the meantime will have built a solid digital presence — through high-performing websites , robust SEO strategies and digital marketing campaigns well-calibrated — will start from an advantageous position when infrastructure costs drop.

The AI infrastructure bottleneck for Italian businesses

According to estimates by McKinsey , adopting generative AI could add up to 4.4 trillion dollars a year to the global economy. However, a huge chunk of this value depends on having the right computing infrastructure ready.

For Italian SMEs, the problem has never been access to algorithms. It has always been the cost and complexity of the underlying infrastructure. Consequently, any dynamic that reduces these costs has a direct impact on the competitiveness of medium-sized businesses in the B2B and retail market.

Plus, relying on foreign cloud providers is still a hot topic for many Italian companies, especially when it comes to following the rules and keeping data secure at home. That's why keeping an eye on how data centers are changing—including what Europe is up to—is a must for IT folks and business leaders.

Robotics and construction: a pairing yet to be proven

To be honest: the promise of building data centers with robots is not yet a well-established reality. It is an ambitious vision that still has to overcome major engineering, regulatory, and logistical hurdles. According to Gartner, building an hyperscale data center takes around 18-24 months using traditional methods. Automation could speed this up, but how much depends heavily on where you are and local rules.

Therefore, investor excitement needs to be balanced with a realistic look at the timeline. A $100 billion IPO reflects long-term expectations, not guaranteed results yet. Even so, the strategic message is huge: money is flowing toward the ones building the physical backbone of the digital economy.

Also, it's worth keeping in mind that SoftBank has a history of high-risk, high-reward bets. The Vision Fund has produced both massive successes and big losses. So, we need to be careful with our analysis before jumping to final conclusions.

Next moves: what Italian SMEs should do right now

The first recommendation is strategic in nature. Italian companies that are considering investments in AI solutions should not put their plans on hold waiting for lower infrastructure costs. Competitive advantage is built today, not when conditions are optimal.

Secondly, it's a good idea to build a digital presence that is scalable. This means investing in quality SEO content , in google ads campaigns measurable and in LinkedIn activities for the B2B market. Plus, a solid web platform it's the prerequisite to take advantage of any future cloud condition improvements.

Finally, the issue of data governance is becoming increasingly central. As data centers become cheaper to build and run, the amount of data produced and stored will grow exponentially. Therefore, companies that don't have a clear strategy today for managing and leveraging their data risk finding themselves at a structural disadvantage. To dive deeper into these topics, the SHM Studio blog offers up-to-date analysis, or you can contact our team for a personalized consultation.