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AI
May 27, 2026

The Delivery Challenge Behind the AI Boom

All articles
AI
May 27, 2026

The Delivery Challenge Behind the AI Boom

By Dr. Atif Ansar

Does the data center industry have the people it needs to deliver? We are building at a pace the world has never seen before. Yet I’m not just talking about whether we have the headcount to build an ambitious pipeline, but whether we have the right people in the right places. I’ve had it surface again in two different contexts: first in my own research, and then again on a podcast I recently attended.

The shortage of integrative leaders and the shortage of skilled specialists are different problems with the same root: we have built our pipelines – for people, for careers, for organizations – around depth. And depth alone is no longer enough.

Here’s why.

The Hedgehog, the Fox, and Your Org Chart

Last week I published some new research: The Hedgehog, the Fox, and the Machine, co-authored with Jamie Page of Origin Analytics. We interviewed senior executives across infrastructure, energy, defense, and data-intensive sectors; people who have directed programs worth billions, built governance structures from scratch, and learned, often at considerable cost, what separates projects that deliver from those that don’t. I want to share the part of it I think matters most right now.

Isaiah Berlin borrowed an ancient Greek fragment to describe two modes of thought. The fox knows many things. The hedgehog knows one big thing. When you map those onto project leadership, the contrast becomes almost uncomfortably recognizable.

Hedgehog leaders are built for depth. They have deep domain expertise and analytical rigor; in the right context, they are invaluable. But as programs grow in scale, interdependency, and institutional complexity, the binding constraint shifts. It is no longer reliant on a deep understanding of any single discipline. What is required is the ability to integrate across all of them simultaneously.

The fox leader speaks engineer in the morning, financier by noon, and stakeholder management by evening. That lateral agility – connecting finance, regulation, politics, and delivery into a coherent whole – is what increasingly separates programs that finish from those that don’t.

Most organizations know this. Most still build their leadership pipelines the other way. The T-shaped career model of acquiring deep expertise first, then broadening is widely endorsed. Specialists get promoted because their mastery is visible, measurable, and hard-won. What that system cannot easily produce at scale and at speed is the integrative leader who can hold the whole picture together.

The shortage at the middle and senior levels of most programs is therefore a predictable output of that design. It is built in.

The question worth asking is not whether your team has enough technical expertise. It almost certainly does. The question is whether your leadership composition has the integrative range to hold it all together when the complexity hits, and it will.

Download the full whitepaper here for the complete research findings and to see how this plays out in many organizations.

The Labor Problem You Need to Get Ahead Of

I recently joined Val Matthews and Dale Foong on the Project Chatter Podcast to discuss what I think is the most pressing constraint in the data center boom: labor.

Construction volume in data centers has grown somewhere between 10 and 20x since 2020. Data centers now account for roughly 10% of global construction volume. Correspondingly, they draw on approximately 0.05% of the available labor force.

The 2025 Deloitte AI Infrastructure Survey found that 63% of data center executives cite labor skills shortages as a direct obstacle to delivery. We are not the first infrastructure boom to hit this wall. But we are doing it with unprecedented speed, at unprecedented scale, with unprecedented technology expectations.

At the moment, everything seems fine. However, with so many recent announcements, what is perhaps overlooked is the labor shortage that will eventually start to bite when these projects move out of planning and into construction.

The pressure is not fully visible yet, because the wave hasn’t arrived. When it does, you cannot sprint-train a qualified data center construction specialist in six weeks. The decisions that will affect your delivery quality in 2027 need to be made now.

This ties back directly to the fox and hedgehog analogy in our whitepaper. When the pressure is on and specialist labor is scarce, putting the right people on the right projects becomes more than a scheduling exercise. This is where resourcing turns into an integrative leadership question.

Watch the full episode on Project Chatter.

What the Tech Capital Global Awards Tell Us About Where Infrastructure Capital Is Going

Earlier this month, The Tech Capital held its 5th Annual Global Awards in London alongside the International Finance Forum 2026 (IFF26). More than 40 countries were represented. The theme for the week was “Risk, Repriced”, examining how energy constraints, permitting challenges, financing conditions, and geopolitical shifts are reshaping how infrastructure gets funded, built, and operated.

The deals category tells you where confidence is sitting. The Capital Raise of the Year went to Meta and Blue Owl Capital for a $27 billion financing for the Hyperion AI data center campus in Louisiana. The AI Infrastructure Investment of the Year went to DigitalBridge and Vantage Data Centers for a $25 billion hyperscale campus in Texas. The Project Finance Deal of the Year went to AirTrunk – whose founder Robin Khuda also took the Leadership Legacy Award – for a $16 billion sustainability-linked refinancing.

These are bets of a generational scale, placed under conditions that, as the IFF theme acknowledged, are genuinely repriced for risk.

What stood out to me was the Infrastructure and Project Excellence category. Digital Infrastructure Project of the Year went to Crusoe for its Stargate data center campus in Abilene, Texas, the project that has become something of a bellwether for AI compute build-out speed. The Digital Infrastructure Action Award went to DATA4 Group for a bio-circular initiative using waste heat to cultivate CO2-capturing microalgae.

That second award is worth pausing on. In a week dominated by billion-dollar financing announcements, one of the most prominent project recognitions went to an operator that found a way to close the loop on waste heat. It signals that the market’s definition of “project excellence” is no longer purely about speed and scale. It increasingly includes resource efficiency and environmental ingenuity.

For anyone delivering data center programs in 2026, that is a meaningful shift in how performance will be measured: not just by owners and investors, but by the industry itself.

What’s Going On?

This year, Foresight is sponsoring the Datacloud Global Congress, taking place June 2 to 4 at the Palais des Festivals in Cannes. Come and find us at Booth 329. We will be on-site across all three days and would welcome the chance to connect.

I am also speaking on Wednesday June 3 at 11:15 AM, at a spotlight session on contracting trends for AI gigafactories on the Discovery Stage. If that is relevant to what you are working on, I hope to see you there.

The theme running through everything in this issue is the same one running through most of the conversations I'm having right now: the industry has the capital, it has the ambition, and in many cases, it has the technology. What it is still learning to build is the leadership architecture to hold it all together. I’d genuinely love to know what you think. Leave me a comment or reach out directly. I’d welcome the conversation.

– Atif

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