What Zuckerberg Got Wrong With the Metaverse

Dan Newman, Principal Analyst & Founding Partner, of Futurum Research gives his hot take on what Mark Zuckerberg got wrong with the launch of the Metaverse.

Dan’s Thoughts:

Mark Zuckerberg didn’t get much right this past year. The whole meta debacle was a big failure, but not because companies don’t need to make big bets. It’s because he bet everything while not focusing on that core product. Companies like Alphabet over and over again have made investments in big audacious projects, but they never got away from the core business. Alphabet still understands its search. AWS is focused on its cloud business. That’s where its opting comes from. For meta, it went all in on this 10-year vision, and in the meantime, TikTok was taking customers away. It was losing its core audience.

It had already hurt the trust of many of its customers because of what’s gone on with, privacy, the elections, and moderation. Some of the same things are going on, with Elon Musk and overall the shedding of so many employees in such a short period of time. Staying away from doing that has created a lot of uncertainty in the long run.

For Meta and Facebook, I think he needs to get back to the core business, focus on making money, and then reinvest those dollars and ensure the company has a long-term strategy. And maybe it’s the metaverse, but it can’t be just the metaverse.

Follow us on social media for the latest updates in B2B!

Image

Latest

AI Infrastructure
Simplifying AI Infrastructure: From Data Center to Deployment (Part 1)
May 19, 2026

In this episode of the Flawless Execution podcast, Jeff Hudgins, VP of Global Services at UNICOM Engineering, breaks down the real-world challenges of deploying AI infrastructure at scale. As AI moves from one-off builds to repeatable global deployments, OEMs, ISVs, and enterprises face increasing complexity across design, integration, cooling, logistics, and installation. Jeff discusses how…

Read More
AI
AI-Enabled Engineering Is Changing the Rules for Talent, Skills and Workforce Readiness (Episode Two)
May 19, 2026

AI’s next workforce challenge is not adoption; it is trust, governance and role redesign. Recent PwC research found that most U.S. executives expected AI agents to drastically transform existing roles, even as fewer than half of companies using agents had fundamentally rethought their operating models or redesigned processes around them. For enterprise technology leaders, the…

Read More
AI
AI-Enabled Engineering Is Changing the Rules for Talent, Skills and Workforce Readiness (Episode One)
May 19, 2026

As AI moves from experimentation into daily enterprise workflows, companies are confronting a harder question than whether to adopt new tools: how to redesign work around them. The shift is already changing what employers need from technical talent, from task-based coding skills to systems thinking, judgment and the ability to guide AI-enabled platforms. According to…

Read More
TGR Foundation
Tiger Woods’ TGR Foundation Is Reimagining Educational Access Through STEAM, AI, and Community Partnerships
May 19, 2026

As schools across the United States continue grappling with post-pandemic learning loss, declining student engagement, and shrinking emergency funding, nonprofit organizations are increasingly stepping in to fill critical gaps. Recent national studies on literacy recovery, student engagement, and career-connected learning show that educators are facing significant post-pandemic challenges in keeping students connected to pathways that…

Read More