Adam Berlew Keeps Coming Back to the Machines

Adam Berlew was writing software before it was a resume line. As a teenager he built scheduling programs and accounting programs, the kind of small, useful tools that solve a problem for whoever asked. It was a private habit, not a plan. But it set a pattern that has held for the rest of his working life: get close to the machine, figure out what it is actually good for, then explain that to someone who needs to know.

Today he is the Chief Marketing Officer of Equinix, the world's largest digital infrastructure company. Roughly 14,000 employees, around $9.3 billion in annual revenue, and a global footprint of data centers that the modern internet quietly depends on. If you have used a cloud service, streamed something, or moved money online, there is a decent chance the traffic passed through a building Equinix runs.

He took the job in September 2023. What makes it interesting is that he had done a version of it before. Berlew worked at Equinix from 2012 to 2015 as a vice president of global marketing. Then he left. Eight years later he came back, this time as the person in charge of the whole function.

The long way around

Return trips are underrated because they are rare. Most people who leave a company do not go back. The org has changed, you have changed, and the story you tell yourself about why you left tends to harden over time. Berlew's eight years away were not idle ones. He ran Americas marketing for Google Cloud, then became an executive director there working on cloud AI strategy and global enterprise demand. He served as an advisory member for CapitalG, Alphabet's independent growth fund, sitting close to the founders trying to build the next wave of enterprise companies. He headed global marketing at Atlassian. Earlier, he led global marketing at Broadcom's Brocade and held roles at Dell.

Go back further and you find the analytical spine of the whole thing: a first job at Boston Consulting Group, working on market and operations strategy for technology and telecommunications clients. The credentials line up behind that. A BA from Brown University, an MBA from the Wharton School at the University of Pennsylvania.

Read the sectors as a single sentence and a theme appears. PCs, servers, telecom, cybersecurity, storage, semiconductors, cloud. Each is a category most people find impenetrable, and each one has to be sold to buyers who are experts in their own field and skeptical of everyone else's. That is the job Berlew has done for a quarter century: take something genuinely complicated and make it legible to the person holding the budget.

Teach, don't shout

His marketing philosophy is almost old-fashioned, and he says it plainly. Asked what still worked after the pandemic reshaped how companies buy technology, he did not reach for a new channel or a growth hack.

Great content will still be key to success. Most buyers are looking to be educated, so you need content that is useful and catches their attention where they are, at the right time. Adam Berlew

That is a marketer betting on substance from the least likely chair. Equinix sells the physical floor the cloud stands on. It would be easy to lean on scale, on maps with a lot of dots. Instead the emphasis is on teaching: helping a buyer understand a problem well enough to see why the answer sits where it does. It is a slower kind of persuasion, and it assumes the customer is smart. In his own framing of how companies scale, the first imperative is not a clever campaign. It is customer success, because satisfied customers become the references that sell the next ones.

The buildings behind the boom

Timing helps. Berlew returned to Equinix just as the AI wave turned into an infrastructure problem. Models do not run in the abstract. They run on racks of expensive chips that need power, cooling, and fast connections to everything else, and those racks have to live somewhere. That somewhere is increasingly a data center Equinix operates.

At Nvidia's GTC conference in 2025, Berlew made the pitch in the company's own language. The idea he keeps returning to is that not every company should have to build its own AI infrastructure from scratch.

We're seeing these instant AI factories being deployed inside Equinix. That ability to use an AI factory-managed service is what's next, so that not everybody has to build their own. Adam Berlew, theCUBE at Nvidia GTC 2025

There is a strategy hidden inside the sentence. Equinix does not want to pick a favorite among the cloud giants and chip makers. It wants to be the neutral ground where all of them meet. As Berlew put it, being able to support everyone is the value the company brings. "It's not about just one provider." Neutrality is both a product truth and a marketing position, and he has a lot of practice holding two ideas at once.

A portfolio that doesn't rhyme

Berlew's board work reads like three careers borrowed a single person. He is an independent director of Stifel Financial, the brokerage and investment bank, where he joined the board in 2019 and sits on the risk management committee. He is a board member of the U.S. Olympic Luge Committee, a sport that involves lying on a sled and going very fast down a track of ice. And he is a life member of the Council on Foreign Relations, which spends its time on questions of diplomacy and global affairs.

Finance, winter sport, foreign policy. The thread is not the subject matter. It is the habit of showing up where decisions get made and being useful once he is there. In 2020, Savoy Magazine named him one of the most influential Black executives in corporate America, a recognition that sits alongside the board seats as evidence of a career built in rooms that are not easy to enter.

Same instinct, bigger machine

What connects the teenager writing accounting programs to the executive standing in front of a camera at a chip conference is a single instinct. Get close to the technology. Figure out what it is genuinely good for. Then say that clearly to someone who has a decision to make. The machines have changed a great deal over the years, from desktop software to AI factories humming in the dark. The instinct has not.

Berlew has watched AI move, in his words, from the exclusive domain of big companies with deep research budgets to something embedded in the products of ordinary businesses. He sounds most interested in what comes after the hype settles: more personalized products, real progress in fields like drug discovery, the unglamorous work of making the technology dependable enough to trust. It is a builder's optimism, tempered by a consultant's caution about mistaking a science experiment for a product.

The AI story is often told through the models and the people who make them. Berlew works one layer down, on the buildings and the connections and the marketing that explains why any of it stays online. It is the least visible part of the stack and the part everything else runs on. He seems comfortable there. He has, after all, kept coming back to the machines his whole life.