The question isn't whether AI will change work – it's whether we'll use this moment to finally build workplaces that enhance rather than diminish our humanity. Photo via Getty Images

When OpenAI's GPT-4 made headlines by passing the bar exam and scoring in the top 10 percent on medical licensing tests, I noticed something fascinating: everyone focused on AI replacing professionals, but they missed the deeper story. AI isn't just disrupting work – it's exposing fundamental flaws in how we've built our entire workplace ecosystem. It's holding up a mirror to our organizations, revealing just how far we've strayed from what makes us uniquely human.

The World Economic Forum tells us 44 percent of workers' skills will need updating by 2027, but that statistic only scratches the surface. In my conversations with business leaders, I'm watching a transformation unfold in real-time. Take the accounting industry, where I've observed forward-thinking firms like Deloitte and PwC turning their accountants into strategic business advisors while other firms continue training junior staff for tasks that AI will soon handle. This isn't just a skills mismatch – it's a fundamental misunderstanding of human potential.

The challenge runs deeper than individual industries. McKinsey predicts 30 percent of hours worked globally could be automated by 2030, but I believe they're missing a crucial point. We've spent decades designing jobs around industrial-era ideals of efficiency and standardization – the very qualities that make them perfect targets for AI automation. In our obsession with measuring, standardizing, and streamlining everything, we've created workplaces that treat humans like machines rather than the complex, creative beings we are.

What's emerging is a striking paradox: as work becomes more automated, our workplace cultures are growing more disconnected. Microsoft researchers identified a "collaboration deficit" in remote work environments, with 56 percent of employees reporting a decline in workplace friendships. This cultural shift is occurring precisely when we need human connection most. During the Great Resignation of 2021, 47 million Americans quit their jobs, they weren't leaving because of salary considerations or technological inadequacies. The most common reasons cited were lack of human connection, purpose, and authentic leadership.

Yet instead of heeding this wake-up call, the rise of AI is pushing us further apart. A decade ago, the concept of "workplace family" was commonplace – now it's often dismissed as manipulative corporate rhetoric. This shift reveals a troubling blindspot in our thinking about work. Consider this: we spend more than 90,000 hours at work over our lifetime – more time than we spend with our own families – yet we're increasingly treating these relationships as purely transactional. In our rush to establish boundaries and protect ourselves from corporate exploitation, we've overcorrected, creating sterile workplaces stripped of human connection.

This timing couldn't be worse. As someone who studies the intersection of technology and workplace culture, I've observed a clear pattern: the more we automate routine tasks, the more our success depends on distinctly human qualities like trust, emotional sensitivity, and the ability to navigate complex interpersonal dynamics. Yet we're systematically dismantling the very cultural foundations that enable these qualities to flourish. It's as if we're entering a boxing match by tying one hand behind our back – at precisely the moment we need every advantage we can get.

The real crisis isn't that AI might replace jobs – it's that we're creating workplace environments that suppress the very qualities that make us irreplaceable. When we treat our colleagues as mere interfaces rather than complex human beings, we don't just damage relationships – we damage our capacity for innovation, creativity, and the kind of deep collaboration that complex problem-solving requires.

Some companies are starting to get it right. When I look at examples like IKEA, who chose to retrain their call center workers as interior design advisors rather than simply replacing them with chatbots, I see a glimpse of what's possible. They recognized something profound: you can't automate the human ability to understand what a frustrated customer really needs, or the intuition to read between the lines of what they're saying.

This is what I call the "human edge" – and it's far more nuanced than most leadership teams realize. It's the marketing manager who can sense team tension during a video call and address it before it derails a project. It's the sales representative who builds such strong relationships that clients stay loyal through market upheavals. It's the team leader who knows exactly when to push for more and when to show compassion. These aren't just nice-to-have soft skills – they're becoming our most valuable business assets.

But here's the challenge: we're still trying to measure workplace success like it's 1990. We track productivity metrics, sales numbers, and project timelines, but how do we quantify someone's ability to defuse a tense client situation? How do we measure the value of a team leader who creates an environment where people feel safe to innovate? These human capabilities – empathy, emotional intelligence, relationship building, creative problem-solving – are increasingly what separate successful companies from failing ones, yet they're nearly impossible to capture in a performance review.

When I talk to business leaders, I tell them bluntly: if a job can be reduced to a process, AI will eventually do it better. Our value lies in all the messy, human things that happen between the bullet points of a job description. Instead of asking "How many tasks did you complete?" we should be asking "How did you help your team navigate that difficult change?" Instead of training people to follow processes, we should be developing their ability to build relationships and navigate complexity.

It's time we started treating these human capabilities not as soft skills, but as core business competencies. The question isn't whether AI will change work – it's whether we'll use this moment to finally build workplaces that enhance rather than diminish our humanity.

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Nada Ahmed is the founding partner at Houston-based Energy Tech Nexus and author of Amazon Bestseller “Determined to Lead- The Disruptive Woman's Guide to Stop Playing Small and Transform your Career through Agile Leadership.”

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Houston-based HPE wins $931M contract to upgrade military data centers

defense data centers

Hewlett Packard Enterprise (HPE), based in Spring, Texas, which provides AI, cloud, and networking products and services, has received a $931 million contract to modernize data centers run by the federal Defense Information Systems Agency.

HPE says it will supply distributed hybrid multicloud technology to the federal agency, which provides combat support for U.S. troops. The project will feature HPE’s Private Cloud Enterprise and GreenLake offerings. It will allow DISA to scale and accelerate communications, improve AI and data analytics, boost IT efficiencies, reduce costs and more, according to a news release from HPE.

The contract comes after the completion of HPE’s test of distributed hybrid multicloud technology at Defense Information Systems Agency (DISA) data centers in Mechanicsburg, Pennsylvania, and Ogden, Utah. This technology is aimed at managing DISA’s IT infrastructure and resources across public and private clouds through one hybrid multicloud platform, according to Data Center Dynamics.

Fidelma Russo, executive vice president and general manager of hybrid cloud at HPE, said in a news release that the project will enable DISA to “deliver innovative, future-ready managed services to the agencies it supports that are operating across the globe.”

The platform being developed for DISA “is designed to mirror the look and feel of a public cloud, replicating many of the key features” offered by cloud computing businesses such as Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform, according to The Register.

In the 1990s, DISA consolidated 194 data centers into 16. According to The Register, these are the U.S. military’s most sensitive data centers.

More recently, in 2024, the Fort Meade, Maryland-based agency laid out a five-year strategy to “simplify the network globally with large-scale adoption of command IT environments,” according to Data Center Dynamics.

Astros and Rockets launch new streaming service for Houston sports fans

Sports Talk

Houston sports fans now have a way to watch their favorite teams without a cable or satellite subscription. Launched December 3, the Space City Home Network’s SCHN+ service allows consumers to watch the Houston Astros and Houston Rockets via iOS, Apple TV, Android, Amazon Fire TV, or web browser.

A subscription to SCHN+ allows sports fans to watch all Astros and Rockets games, as well as behind-the-scenes features and other on-demand content. It’s priced at $19.99 per month or $199.99 annually (plus tax). People who watch Space City Network Network via their existing cable or satellite service will be able to access SCHN+ at no additional charge.

As the Houston Chronicle notes, the Astros and Rockets were the only MLB and NBA teams not to offer a direct-to-consumer streaming option.

“We’re thrilled to offer another great option to ensure fans have access to watch games, and the SCHN+ streaming app makes it easier than ever to cheer on the Rockets,” Rockets alternate governor Patrick Fertitta said in a statement.

“Providing fans with a convenient way to watch their favorite teams, along with our network’s award-winning programming, was an essential addition. This season feels special, and we’re committed to exploring new ways to elevate our broadcasts for Rockets fans to enjoy.”

Astros owner Jim Crane echoed Feritta’s comments, adding, “Providing fans options on how they view our games is important as we continue to grow the game – we want to make it accessible to as large an audience as possible. We are looking forward to the 2026 season and more Astros fans watching our players compete for another championship.”

SCHN+ is available to customers in Texas; Louisiana; Arkansas; Oklahoma; and the following counties in New Mexico: Dona Ana, Eddy, Lea, Chaves, Roosevelt, Curry, Quay, Union, and Debaca. Fans outside these areas will need to subscribe to the NBA and MLB out-of-market services.

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This article originally appeared on CultureMap.com.

Rice University researchers unveil new model that could sharpen MRI scans

MRI innovation

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI.

In a study recently published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Previous models only approximated how water molecules relaxed around contrasting agents. However, through this new model, known as the NMR eigenmodes framework, the research team has uncovered the “full physical equations” to explain the process.

“The concept is similar to how a musical chord consists of many notes,” Thiago Pinheiro, the study’s first author, a Rice doctoral graduate in chemical and biomolecular engineering and postdoctoral researcher in the chemical sciences division at Oak Ridge National Laboratory, said in a news release. “Previous models only captured one or two notes, while ours picks up the full harmony.”

According to Rice, the findings could lead to the development and application of new contrast agents for clearer MRIs in medicine and materials science. Beyond MRIs, the NMR relaxation method could also be applied to other areas like battery design and subsurface fluid flow.

“In the present paper, we developed a comprehensive theory to interpret those previous molecular dynamics simulations and experimental findings,” Dilipkumar Asthagiri, a senior computational biomedical scientist in the National Center for Computational Sciences at Oak Ridge National Laboratory, said in the release. ”The theory, however, is general and can be used to understand NMR relaxation in liquids broadly.”

The team has also made its code available as open source to encourage its adoption and further development by the broader scientific community.

“By better modeling the physics of nuclear magnetic resonance relaxation in liquids, we gain a tool that doesn’t just predict but also explains the phenomenon,” Walter Chapman, a professor of chemical and biomolecular engineering at Rice, added in the release. “That is crucial when lives and technologies depend on accurate scientific understanding.”

The study was backed by The Ken Kennedy Institute, Rice Creative Ventures Fund, Robert A. Welch Foundation and Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory.