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 college joins inaugural workforce accelerator supported by Google

hands-on training

Houston City College (HCC) is one of 15 community colleges from around the country to be selected for the first-ever Workforce Futures Accelerator.

The three-year effort is supported by Google.org, the tech company’s philanthropic arm, and led by the Association of Community College Trustees (ACCT), a non-profit educational organization that represents over 500 community, junior, and technical colleges. The accelerator focuses on helping colleges embed virtual, employer-sponsored training opportunities into short-term workforce training programs, giving participants access to opportunities that they might otherwise receive through internships or other "work-based learning" stints.

"The Workforce Futures Accelerator reflects the Houston City College mission of offering a high-quality, affordable education for workforce training and career development," Pretta VanDible Stallworth, HCC trustee and chair-elect of the ACCT board of directors, said in a news release. "Advancing student success and creating pathways to opportunities ensures that our students are well equipped to succeed and build a secure future in today's economy.”

Through the accelerator, HCC is tasked with fusing online project-based learning opportunities with its workforce education programs. The idea is to give students hands-on experiences working on projects sponsored by employers, allowing them to gain real-world knowledge in the process.

HCC will select two workforce programs that meet the accelerator’s criteria and insert into them into coursework. In the second and third year of the accelerator, the selected colleges are expected to scale the programs by adding instructors and programs to develop a network of to support their continued implementation.

“Participation by HCC will strengthen how we provide students with career-connected learning experiences that complement their classroom education and align with the needs of employers,” HCC Chancellor Margaret Ford Fisher added in the news release. “We are focused on ‘future forward’ strategies to meet the present and future needs of our region’s businesses.”

Two other Texas colleges were chosen to participate in the accelerator: Lamar Institute of Technology in Beaumont and Grayson College in Denison.

The remaining cohort includes:

  • Bergen Community College in Paramus, New Jersey
  • Central Louisiana Community College in Alexandria, Louisiana
  • Clark State College in Springfield, Ohio
  • Great Basin College in Elko, Nevada
  • Heartland Community College in Normal, Illinois
  • Hudson County Community College in Jersey City, New Jersey
  • Manchester Community College in Manchester, New Hampshire
  • Mesa Community College in Mesa, Arizona
  • Mohave College in Kingman, Arizona
  • San Joaquin Delta Community College in Stockton, California
  • San Juan College in Farmington, New Mexico
  • West Virginia University Parkersburg in Parkersburg, West Virginia

New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

  • Data Entry Keyers
  • Statistical Assistants
  • Office Support Workers
  • Interpreters and Translators
  • Database Architects
  • Software Quality Assurance Analysts
  • Medical Transcriptionists
  • Software Developers
  • Writers and Authors
  • Payroll Clerks
  • Web Designers
  • Miscellaneous Computer Occupations
  • Insurance Claims Processors
  • Telemarketers
  • Computer Numerically Controlled Tool Programmers
  • Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

  • No. 1 – Washington
  • No. 2 – Virginia
  • No. 3 – District of Columbia
  • No. 4 – California
  • No. 5 – Utah
  • No. 6 – Maryland
  • No. 7 – Colorado
  • No. 8 – New Hampshire
  • No. 9 – Texas
  • No. 10 – North Carolina
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This article originally appeared on CultureMap.com.

UH lands $1.2M NIH grant to fight superbugs using AI, quantum sensing

drug defense

The fight against antibiotic-resistant bacteria like MRSA is getting science fiction-like upgrades at the University of Houston thanks to a new four-year, $1.26 million grant from the National Institutes of Health.

The university says the recent funding brings total federal support up to $3.5 million for 11 years for the project, which uses AI and quantum-sensing technology to better understand how bacterial proteins develop resistance to drugs.

Any medical professional will tell you that one of the worst things that can happen is almost killing an infection. Bacteria that survive attacks from conventional antibiotic treatments emerge tougher, more resistant and more aggressive than before–making them much harder to treat. A good example is the superbug methicillin-resistant Staphylococcus aureus (MRSA).

UH chemistry professors Yuhong Wang and Shoujun Xu are working on this issue. They know full well that fighting superbugs requires new technology and new approaches, which is what they aim to pioneer with their new grant.

“Drug-resistant bacterial infections such as MRSA are becoming harder to treat, creating an urgent need for faster ways to understand how antibiotics and other small molecules interact with bacterial proteins,” Wang said in a news release.

Wang and Xu’s work centers around GTP, a cellular fuel that can cause tiny changes to a cell's structure when it mutates. Sometimes, those shape changes make it easier for drugs to breach the wall and attack the cells.

The UH scientists are employing AlphaFold, an AI-powered tool that can scan large molecular libraries in seconds. From these models, they can see promising drug combinations for future testing.

Once identified, the team uses their invention, super-resolution force spectroscopy, to monitor the cells. Tiny magnetic beads are attached to genetic material, then magnified to see how strong that material is when pulled. They can measure this incredible microscopic process through an atomic magnetometer, typically used in quantum physics. Combined, all these tools allow a high-definition look at how each molecule might respond to new chemical approaches.

“We're the only chemists in the world that use an atomic magnetometer for biological research,” Xu said. “It's a technique developed by physicists, and there is usually a gap between techniques developed by physicists and biological applications. Yuhong and I have been bridging that gap together for the past 10 years.”

Eventually, Wang and Xu hope to develop powerful software that can be used by drug manufacturers to model cellular responses. With enough predictive data, the software could even get ahead of superbugs’ own mutation, allowing drugs to be developed before new strains arrive.

"We want an algorithm where you input a protein sequence, score the mutation hotspots, and develop new inhibitors before a drug-resistant species even emerges," Wang added.