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.”

The advent of AI pushes us humans to acquire new skills and hone our existing abilities so we can work alongside these evolving technologies in a collaborative fashion. Image via Getty Images

Why this Houston innovator isn't afraid of AI coming for her job

Guest Column

Over the past 10 years of my career, I have been afforded unique opportunities to work in many roles across the healthcare industry. This includes stints in HR, sales, marketing, and operational roles at a myriad of organizations including small start-up companies, hospital networks, and even my own single-member LLC.

The uncertainty of the job market is ever evolving with close to 200,000 tech workers being laid off last year alone. The rise of AI is changing the employment structure across all industries which is why I feel fortunate to have a plethora of experiences and skills to pull from.

There is mounting concern about AI taking away our jobs, but in reality, we have been living harmoniously with AI tools for quite some time (think – spell check or autocorrect on your text messages). In many instances, we appreciate the benefits that AI brings including automation of repetitive tasks, data entry, and increased efficiencies. Don’t get me wrong, AI is certainly being exploited in some use cases like deepfakes so it is essential to stay vigilant. Overall, I am optimistic about AI improving healthcare, an area where we are experiencing significant financial strains, an overburdened workforce, and clinician shortages.

The advent of AI pushes us humans to acquire new skills and hone our existing abilities so we can work alongside these evolving technologies in a collaborative fashion. AI augments human capabilities rather than replacing us. I believe it will help our society embrace lifelong learning, creating new industries and jobs that have never existed before. These are some reasons why I am not worried about AI eliminating my job in the near future:

AI does not have human skills

AI may be able to beat humans at intelligent tasks like chess, yet prowess such as communication, teamwork, leadership, and emotional intelligence are increasingly important and difficult to automate. According to LinkedIn, the most in-demand skills for professionals are all uniquely human abilities, working in tandem with AI to drive organizational success. In addition, many jobs require some level of creative thinking, making them less susceptible to automation.

AI is not a physical being

Even after living through a global pandemic where many jobs existed only virtually, there is no replacement to the physical being or human touch. Technology can fill a lot of gaps but sitting face to face with another human being is not one of them. In fact, Forbes reported that 90 percent of companies will return to the office in 2024. There will always be power in bringing people together, whether one-on-one meetings, team gatherings, or company wide events.

AI alone cannot implement change

Technology is only as powerful as the people who use it. Sometimes, the hardest part of innovation is not adopting new technology or implementing different protocols but simply getting people to change. Nonetheless, adaptability has proven time and time again to be one of the strongest human traits. Change takes time and trust, both of which AI cannot solve on its own.

While working on this article, I wanted to see what the AI expert thinks and asked “Should I be worried about AI taking away my job?” Here is what Chat GPT responded:

While there is potential for AI to automate certain jobs, it also creates opportunities for new roles and enhances productivity. The key to mitigating the risk is to stay informed, continuously learn, and adapt to new technologies. Emphasizing uniquely human skills and exploring how AI can be a tool rather than a replacement can help secure your place in the evolving job market.

I appreciate Chat GPT’s confidence that humans and AI can co-exist. The future is already here.

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Arielle Rogg is the principal and founder of Rogg Enterprises, a Houston-based company providing digital marketing for health care innovators.

A Houston expert shares how to improve on communication in the health care setting. Image via Getty Images

Houston expert: 3 emotional intelligence tips for improving patient-practitioner experience

guest column

After spending hours with healthcare professionals as both a consultant and patient, I know that it takes a special kind of person to take care of others in their most distressing and vulnerable times. That responsibility has been in overdrive because of COVID, causing emotional burnout, which in turn affects patient care. By equipping yourself with emotional intelligence, you can be more resilient for yourself and patients.

Emotional intelligence is keeping your intelligence high, when emotions are high.

Health care sets up an environment for a tornado of emotions, and the rules and regulations centered around patient-provider interactions are often complex to navigate. This leaves many on the brink of emotional exhaustion, and for survival’s sake, depersonalization with patients becomes the status quo. Feeling a disconnect with their patients is another added weight, as few get into this industry for just the paycheck – it’s the impact of helping people get healthy and stay healthy that motivates them. I’ve seen it time and time again with people in my life, as well as on my own patient journey as I battled stage 3 cancer.

Before the pandemic, reducing job burnout among healthcare workers became a standard policy. Now, it’s more than a policy, it’s top priority with staff shortages growing in healthcare. A February 2022 survey conducted by USA Today and Ipsos of more than 1,100 health care workers found nearly a quarter of respondents said they were likely to leave the field in the near future.

It’s time to maximize your health by embracing emotional intelligence with these three tips, which will also enhance your communications with peers and patients.

​Recognize your emotions.

Pushing away emotions takes more energy than acknowledging them because rarely do you have to push them back just one time, it is a constant tug-of-war. When you don’t process your emotions, they can show up as physical pain. Recognize your emotions beyond the narrow definitions of sad, angry or happy — use as many adjectives as you can think of, get descriptive, look up synonyms. Write them down. Share with your therapist. Acknowledge it when you work out. Talk it out into a notes page on your phone. Once you recognize, you can acknowledge, process, and address.

Acknowledge your strengths and weaknesses.

Your colleagues can be a catalyst. When you’re overworked, your endurance changes, and it’s important to share that with your team, because they are feeling the same — and in these situations you can lean on each other. Verbalizing that you need help and asking others how they can be supported cultivates trust. This dynamic between colleagues allows your team to be more adaptable, which leads to improved culture. Your patients will feel this shift, as they will be more at ease and more likely to listen to your instructions and advice

Don’t assume, ask. 

Assumptions lead to destruction. You can’t read minds – especially when you exist in a diverse city with an array of cultures that approach life and work responsibilities in various ways. If you need to take a day off, ask. If your patient is looking confused, slow down and ask what’s going on. If you’re starting to overcompensate because you notice a colleague struggling, ask them how you can help. If you need more resources at work, but think you shouldn’t ask because of budget cuts, ask anyway. Assumptions are rarely correct, and it leaves just one person carrying all the weight —YOU. Do yourself a favor, open up the dialogue.


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Sahar Paz is the CEO of Own Your Voice Strategy Firm and a Harvard-certified emotional intelligence expert with a mission to transform the patient-provider experience.

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Houston VC funding surged nearly 50% in Q1 2026, report says

VC victories

First-quarter venture capital funding for Houston-area startups climbed nearly 50 percent compared to the same time last year, according to the PitchBook-NVCA Venture Monitor.

In Q1 2026, Houston-area startups raised $532.3 million, a 49 percent jump from $320.2 million in Q1 2025, according to the PitchBook-NVCA Venture Monitor.

However, the Q1 total fell 23 percent from the $671.05 million raised in Q4 2025.

Among the first-quarter funding highlights in Houston were:

  • Utility Global, which focuses on industrial decarbonization, announced a first close of $100 million for its Series D round.
  • Sage Geosystems raised a $97 million Series B round to support its geothermal energy storage technology.

Those funding rounds underscore Houston’s evolution as a magnet for VC in the energy sector.

“Today, the energy sector is increasingly extending into the startup economy as venture capital flows into companies developing the technologies that will shape the future of global energy,” the Greater Houston Partnership says.

The energy industry accounted for nearly 40 percent of Houston-area VC funding last year, according to market research and lead generation service Growth List.

Adding to Houston’s stature in VC for energy startups are investors like Chevron Technology Ventures, the investment arm of Houston-based oil and gas giant Chevron; Goose Capital; Mercury Fund; and Quantum Energy Partners.

How Houston innovators played a role in the historic Artemis II splashdown

safe landing

Research from Rice University played a critical role in the safe return of U.S. astronauts aboard NASA’s Artemis II mission this month.

Rice mechanical engineer Tayfun E. Tezduyar and longtime collaborator Kenji Takizawa developed a key computational parachute fluid-structure interaction (FSI) analysis system that proved vital in NASA’s Orion capsule’s descent into the Pacific Ocean. The FSI system, originally developed in 2013 alongside NASA Johnson Space Center, was critical in Orion’s three-parachute design, which slowed the capsule as it returned to Earth, according to Rice.

The model helped ensure that the parachute design was large enough to slow the capsule for a safe landing while also being stable enough to prevent the capsule from oscillating as it descended.

“You cannot separate the aerodynamics from the structural dynamics,” Tezduyar said in a news release. “They influence each other continuously and even more so for large spacecraft parachutes, so the analysis must capture that interaction in a robustly coupled way.”

The end result was a final parachute system, refined through NASA drop tests and Rice’s computational FSI analysis, that eliminated fluctuations and produced a stable descent profile.

Apart from the dynamic challenges in design, modeling Orion’s parachutes also required solving complex equations that considered airflow and fabric deformation and accounted for features like ringsail canopy construction and aerodynamic interactions among multiple parachutes in a cluster.

“Essentially, my entire group was dedicated to that work, because I considered it a national priority,” Tezduyar added in the release. “Kenji and I were personally involved in every computer simulation. Some of the best graduate students and research associates I met in my career worked on the project, creating unique, first-of-its-kind parachute computer simulations, one after the other.”

Current Intuitive Machines engineer Mario Romero also worked on Orion during his time at NASA. From 2018 to 2021, Romero was a member of the Orion Crew Capsule Recovery Team, which focused on creating likely scenarios that crewmembers could encounter in Orion.

The team trained in NASA’s 6.2-million-gallon pool, using wave machines to replicate a range of sea conditions. They also simulated worst-case scenarios by cutting the lights, blasting high-powered fans and tipping a mock capsule to mimic distress situations. In some drills, mock crew members were treated as “injured,” requiring the team to practice safe, controlled egress procedures.

“It’s hard to find the appropriate descriptors that can fully encapsulate the feeling of getting to witness all the work we, and everyone else, did being put into action,” Romero tells InnovationMap. “I loved seeing the reactions of everyone, but especially of the Houston communities—that brought me a real sense of gratitude and joy.”

Intuitive Machines was also selected to support the Artemis II mission using its Space Data Network and ground station infrastructure. The company monitored radio signals sent from the Orion spacecraft and used Doppler measurements to help determine the spacecraft's precise position and speed.

Tim Crain, Chief Technology Officer at Intuitive Machines, wrote about the experience last week.

"I specialized in orbital mechanics and deep space navigation in graduate school,” Crain shared. “But seeing the theory behind tracking spacecraft come to life as they thread through planetary gravity fields on ultra-precise trajectories still seems like magic."