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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Intuitive Machines lands $180M NASA contract for lunar delivery mission

to the moon

NASA has awarded Intuitive Machines a $180.4 million Commercial Lunar Payload Services (CLPS) award to deliver science and technology to the moon.

This is the fifth CLPS award the Houston spacetech company has received from NASA, according to a release. It will be the first mission to utilize Intuitive Machines' larger cargo lunar lander, Nova-D.

Known as IM-5, the mission is expected to deliver seven payloads to Mons Malapert, a ridge near the Lunar South Pole, which is a "compelling location for future communications, navigation, and surface infrastructure," according to the release.

“We believe our space infrastructure provides the scalability and flexibility needed to support an increased cadence of new Artemis missions and advance national objectives. This CLPS award accelerates our expansion efforts as we build, connect, and operate the systems powering that infrastructure,” Steve Altemus, CEO of Intuitive Machines, said in the release. “We look forward to working closely with NASA to deliver mission success on IM-5 and to provide sustained operations and persistent connectivity in the cislunar environment and across the solar system.”

The delivery will include the Australian Space Agency’s lunar rover, known as Roo-ver, and another lunar rover from Honeybee Robotics, a part of Jeff Bezos' Blue Origin. Intuitive Machines will also deliver chemical analysis instruments, radiation detectors and other technologies, as well as a capsule named Sanctuary that shows examples of human achievements.

Intuitive Machines previously completed its IM-1 and IM-2 missions, which put the first commercial lunar lander on the moon and achieved the southernmost lunar landing, respectively.

Its IM-3 mission is expected to deliver international payloads to the moon's Reiner Gamma this year. It’s IM-4 mission, funded by a $116.9 million CLPS award, is expected to deliver six science and technology payloads to the Moon’s South Pole in 2027.

The company also announced a $175 million equity investment to fuel growth earlier this month.

TotalEnergies exits U.S. offshore wind sector in $1B federal deal

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TotalEnergies, a French company whose U.S. headquarters is in Houston, has agreed to redirect nearly $930 million in capital from two offshore wind leases on the East Coast to oil, natural gas and liquefied natural gas (LNG) production.

In its agreement with the U.S. Department of the Interior, TotalEnergies has also promised not to develop new offshore wind projects in the U.S. “in light of national security concerns,” according to a department press release.

Federal agency hails ‘landmark agreement’

The Department of the Interior called the deal a “landmark agreement” that will steer capital “from expensive, unreliable offshore wind leases toward affordable, reliable natural gas projects that will provide secure energy for hardworking Americans.”

Renewable energy advocates object to what they believe is the Trump administration’s mischaracterization of offshore wind projects.

Under the Department of the Interior agreement, the federal government will reimburse TotalEnergies on a dollar-for-dollar basis for the leases, up to the amount that the energy company paid.

“Offshore wind is one of the most expensive, unreliable, environmentally disruptive, and subsidy-dependent schemes ever forced on American ratepayers and taxpayers,” Interior Secretary Doug Burgum said in the announcement. “We welcome TotalEnergies’ commitment to developing projects that produce dependable, affordable power to lower Americans' monthly bills while providing secure U.S. baseload power today — and in the future.”

TotalEnergies cites U.S. policy in move away from U.S. wind power

In the news release, Patrick Pouyanné, chairman and CEO of TotalEnergies, says the company was “pleased” to sign the agreement to support the Trump administration’s energy policy.

“Considering that the development of offshore wind projects is not in the country’s interest, we have decided to renounce offshore wind development in the United States, in exchange for the reimbursement of the lease fees,” Pouyanné says.

TotalEnergies redirects capital to LNG, oil, and natural gas

TotalEnergies will use the $928 million it spent on the offshore wind leases for development of a joint venture LNG plant in the Rio Grande Valley, as well as for production of upstream oil in the Gulf of Mexico and for production of shale gas.

“These investments will contribute to supplying Europe with much-needed LNG from the U.S. and provide gas for U.S. data center development. We believe this is a more efficient use of capital in the United States,” Pouyanné says.

TotalEnergies paid $133.3 million for an offshore wind lease at the Carolina Long Bay project off the coast of North Carolina and $795 million in 2022 for a lease covering a 1,545-megawatt commercial offshore wind facility off the coast of New Jersey.

“TotalEnergies’ studies on these leases have shown that offshore wind developments in the United States, unlike those in Europe, are costly and might have a negative impact on power affordability for U.S. consumers,” TotalEnergies said in a company-issued press release. “Since other technologies are available to meet the growing demand for electricity in the United States in a more affordable way, TotalEnergies considers there is no need to allocate capital to this technology in the U.S.”

Since 2022, TotalEnergies has invested nearly $12 billion to promote the development of oil, LNG, and electricity in the U.S. In 2025, TotalEnergies was the No. 1 exporter of LNG from the U.S.

Industry groups push back on offshore wind pullback

The American Clean Energy Association has pushed back on the Trump administration’s characterization of offshore wind projects.

“The offshore wind industry creates thousands of high-quality, good-paying jobs, and is revitalizing American manufacturing supply chains and U.S. shipyards,” Jason Grumet, the association’s CEO, said in December after the Trump administration paused all leases for large-scale offshore wind projects under construction in the U.S. “It is a critical component of our energy security and provides stable, domestic power that helps meet demand and keep costs low.”

Grumet added that President Trump’s “relentless attacks on offshore wind undermine his own economic agenda and needlessly harm American workers and consumers.” He called for passage of federal legislation that would prevent the White House “from picking winners and losers” in the energy sector and “placing political ideology” above Americans’ best interests.

The National Resources Defense Council offered a similar response to the offshore wind leases being paused.

“In its ongoing effort to prop up waning fossil fuels interests, the administration is taking wilder and wilder swings at the clean energy projects this economy needs,” said Pasha Feinberg, the council’s offshore wind strategist. “Investments in energy infrastructure require business certainty. This is the opposite. If the administration thinks the chilling impacts of this action are limited to the clean energy sector, it is sorely mistaken.”

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This article originally appeared on EnergyCapitalHTX.com.

Houston researcher examines how AI helps and hurts creativity

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As artificial intelligence continues to grow and seeps into spaces like art, design and writing, a Houston researcher is examining its effects on creativity.

University of Houston’s Bauer College Assistant Professor Jinghui Hou, in collaboration with scholars around the world, recently published the paper "The Double-Edged Roles of Generative AI in the Creative Process" in the journal Information Systems Research.

Through the research, the team identified two stages of creativity that AI can influence: ideation and implementation.

In one study, Hou and her team developed a lab experiment to examine the impact of a cutting-edge generative AI tool during the brainstorming or ideation phase on a group of designers with varying levels of expertise.

The study showed that nearly all designers who used generative AI during this stage improved in the creativity of their graphic design work, and that the improvements were substantial and consistent across the board.

“In the first stage, we find that for anyone, including ordinary people and expert designers, AI is very helpful because of its computational power,” Hou said in a news release. “It can go beyond the imagination that humans have. For example, if I wanted to imagine a tiger with wings, it would be hard to see that in my head, but AI can do it easily.”

However, a second study examining the implementation stage found that AI affects professionals differently than novice designers.

The study showed that novice designers continued to improve in all aspects of their work when using AI. But more expert designers did not see significant improvements in the implementation stage. Rather, expert designers who used AI spent 57 percent more time completing their work compared with their peers who did not use AI.

“In the implementation stage, we find that AI is still very helpful for those ordinary people, but it creates more work for expert designers,” Hou said in the release. “This is because the designer has years of training to materialize a piece of artwork. We find that AI uses different techniques to produce creative work. For designers, it can become burdensome to revise what AI made.”

Hou’s paper suggests that AI is most helpful in the brainstorming stage, but hopes to see generative AI developers program tailor the technology for expert-level, professional needs.

“It could give users more freedom to fit the technology to their usage pattern and workflow,” Hou added. “In a sense, it's not about people catering to the AI, but the AI technology catering to people."