An AI tsunami is no longer a distant tremor on the horizon; it is a full-scale tectonic shift in the global economy. For those of us who have weathered decades of market cycles, we recognize that disruption is often a buzzword. But the staggering capital currently being deployed into autonomous technology signals something far more permanent. We are witnessing the reconstruction of our industrial base.
A clue to the scale of this movement can be viewed through the lens of those rewriting the rules of mobility. Uber announced in March that it will invest up to $1.25 billion in Rivian through 2031, in part to purchase 10,000 fully autonomous R2 robotaxis with the option to purchase up to 40,000 more in 2030 as a means to help accelerate both companies’ autonomous vehicle plans. This is not a pilot program; it is a fundamental pivot. If all goes according to plan, the companies will have deployed thousands of unsupervised Rivian R2 robotaxis across 25 cities in the U.S., Canada, and Europe by the end of 2031.
In our own backyard, the physical manifestations of this era are rising from the earth. Anduril Industries is currently building Arsenal-1 in Columbus, two facilities comprising 1.8 million square feet of production, office and support space that will begin manufacturing its YFQ-44A autonomous combat aircraft for the U.S. Air Force’s Collaborative Combat Aircraft program. This 10-year buildout, set to be complete by 2035, represents a massive ecosystem including manufacturing hubs, a centralized substation and roadwork.
Perhaps the most telling indicator of this transition is found in how we allocate our resources. For the first time in history, U.S. construction spending on data centers has surpassed spending on traditional office buildings. According to a March report, developers spent about $3.57 billion on data center projects in December, while office construction investment reached $3.49 billion. The monuments of 20th-century commerce are being eclipsed by the cathedrals of 21st-century computation.
Yet, despite this macro-level velocity, internal corporate adoption remains dangerously fragmented. Many organizations have relied on a hands-off approach, encouraging employees to experiment haphazardly with various platforms — ground-up strategies that may not lead to widespread adoption or significant organizational innovations.
This AI technical initiative is too important to be delegated. CEOs and business leaders need to drive this initiative from the top. CEOs need to be centrally involved, ensuring the organization is pushing AI to every corner of its business. So, to move the needle, sophisticated companies are increasingly switching to top-down, centralized models of change management. This strategic rigor allows leadership to guide the rollout, record best practices, and propagate those successes throughout the organization to hasten adoption and improve the technology’s impact.
But to truly understand this shift, business leaders must immerse themselves in AI. Use multiple platforms, attend specialized conferences, and engage with experts. Morgan Stanley Research in March estimated that nearly $3 trillion of AI-related infrastructure investment will flow through the global economy by 2028, with more than 80 percent of that spending still ahead. The capital is moving; as leaders, we (and our organizations) must move with it to stay ahead of the curve. ●
Fred Koury is an entrepreneur and investor
