Stephen Ojji is rethinking workplace safety. Courtesy photo

Workplace safety has always been reactive. Incidents happen, reports are filed, lessons are learned — sometimes too late. But what if safety wasn’t about reacting to accidents, but preventing them altogether?

In this episode of the Energy Tech Startups Podcast, Stephen Ojji, founder and CEO of VisionTech, challenges how high-hazard industries approach safety. His vision? AI-driven incident detection that doesn’t just monitor the workplace —i t actively prevents injuries, ensures compliance, and builds a stronger safety culture.

From Oil and Gas Safety to AI Innovation

Stephen’s journey into energy tech isn’t what you’d expect. Starting as a safety engineer in Nigeria’s oil and gas sector, his early career was focused on ensuring compliance, training teams, and reducing workplace risks. But he quickly realized a flaw in the system — many incidents weren’t being reported at all.

"Workers don’t always report hazards, and not because they don’t care," he explains. "Sometimes it’s fear of consequences. Sometimes it’s just human nature — we’re focused on getting the job done. But ignoring small risks leads to big accidents."

That’s where VisionTech’s AI-powered safety monitoring system comes in. Instead of relying on human reporting, VisionTech integrates with existing workplace cameras, using computer vision technology and AI to detect:

  • Spills, fire hazards, and safety violations in real-time
  • Workers at risk of injury due to incorrect lifting techniques or missing PPE
  • Trends in safety culture, helping companies address recurring risks

"Think of it like having an extra set of eyes that never blinks," Stephen says. "Not to police workers, but to protect them."

AI and Safety: Moving Beyond Compliance to Prevention

Unlike traditional workplace monitoring, VisionTech’s AI safety system doesn’t track individuals — it tracks behaviors. The system uses ghosting technology, ensuring that workers’ identities remain anonymous while hazards are flagged instantly.

This shifts the focus from penalizing mistakes to empowering safer work environments.

"Companies say they care about safety, but what does that really mean?" Stephen challenges. "If safety is the priority, why not use every tool available to protect workers before an accident happens?"

And here’s the kicker: VisionTech doesn’t just detect risks. It helps companies act on them.

Instead of logging safety incidents in spreadsheets that go unread, the system transforms safety data into actionable insights — identifying patterns, trends, and areas for improvement that help companies make real, lasting changes.

Why Now? The Urgency for Smarter Safety Solutions

With OSHA regulations tightening and ESG commitments pushing for stronger worker protections, industrial companies are under growing pressure to do more than just meet compliance standards.

At the same time, AI and machine learning have advanced rapidly, making AI-powered safety monitoring more affordable, scalable, and accurate than ever before.

"If we had tried to build this 10 years ago, it wouldn’t have worked," Stephen admits. "The technology wasn’t ready. The market wasn’t ready. But today? It’s the right time, and the right tool for a problem that’s been ignored for too long."

What’s Next for VisionTech?

Currently in the MVP stage, VisionTech is preparing for pilot programs with oil and gas companies to prove its impact in real-world environments. The plan? Scale beyond oil and gas into manufacturing, construction, and any industry where safety matters.

But for Stephen, this isn’t just about launching another safety product — it’s about changing how companies think about protecting their workers.

"Safety isn’t just a compliance box to check," he says. "It’s about people. If companies really believe that ‘our employees are our greatest asset,’ then investing in their safety should be the easiest decision they ever make."

This is a conversation you don’t want to miss.

See the full episode with Stephen Ojji on the Energy Tech Startups Podcast below, or click here to listen.

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Energy Tech Startups Podcast is hosted by Jason Ethier and Nada Ahmed. It delves into Houston's pivotal role in the energy transition, spotlighting entrepreneurs and industry leaders shaping a low-carbon future.

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

Energy tech expert on how AI is changing in the workplace — and what employers need to recognize

guest column

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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Solar manufacturer expands Houston footprint with new 4 GW factory

coming soon

Houston-based SEG Solar plans to open a new 4-gigawatt solar module manufacturing facility in Cypress.

The facility represents more than a $200 million investment and will raise SEG's total annual U.S. module production capacity to approximately 6 gigawatts, according to a new release. The expansion is part of SEG’s long-term goal of becoming one of the largest 100 percent U.S.-owned module manufacturers.

The new 500,000-square-foot facility will be located on Telge Road and is expected to create 800 new jobs, according to reports.

“This new facility marks an important milestone for SEG,” Timothy Johnson, VP of operations, said in the release. “It will further strengthen our U.S. manufacturing capabilities while supporting ongoing technology innovation. The plant is designed with the flexibility to integrate next-generation technologies, including (heterojunction solar technology) as the industry evolves.”

Commercial operations at the new facility are expected to commence in Q3 2026.

SEG is also developing a 5-gigawatt ingot and wafer manufacturing facility in Indonesia. Construction on the facility is expected to begin in Q2 2026.

In 2024, SEG Solar opened a new $60 million, 250,000-square-foot facility in Houston to house its production workshops, raw material warehouses, administrative offices, finished goods warehouses and supporting infrastructure. Read more here.

Fervo Energy bumps up IPO target to $1.82B

IPO update

Houston-based geothermal power company Fervo Energy is now eyeing an IPO that would raise $1.75 billion to $1.82 billion, up from the previous target of $1.33 billion.

In paperwork filed Monday, May 11 with the U.S. Securities and Exchange Commission, Fervo says it plans to sell 70 million shares of Class A common stock at $25 to $26 per share.

In addition, Fervo expects to grant underwriters 30-day options to buy up to 8.33 million additional shares of Class A common stock. This could raise nearly $200 million.

When it announced the IPO on May 4, Fervo aimed to sell 55.56 million shares at $21 to $24 per share, which would have raised $1.17 billion to $1.33 billion. The initial valuation target was $6.5 billion.

A date for the IPO hasn’t been scheduled. Fervo’s stock will be listed on Nasdaq under the ticker symbol FRVO.

Fervo, founded in 2017, has attracted about $1.5 billion in funding from investors such as Bill Gates-founded Breakthrough Energy Ventures, Google, Mitsubishi Heavy Industries, Devon Energy (which is moving its headquarters to Houston), Tesla co-founder JB Straubel, CalSTRS, Liberty Mutual Investments, AllianceBernstein, JPMorgan, Bank of America and Sumitomo Mitsui Trust Bank.

Fervo’s marquee project is Cape Station in Beaver County, Utah, the world’s largest EGS (enhanced geothermal system) project. The first phase will deliver 100 megawatts of baseload clean power, with the second phase adding another 400 megawatts. The site can accommodate 2 gigawatts of geothermal energy. Fervo holds more than 595,000 leased acres for potential expansion.

Cape Station has secured power purchase agreements for the entire 500-megawatt capacity. Customers include Houston-based Shell Energy North America and Southern California Edison.

Modular nuclear reactor company opens office in Houston

new to hou

The nuclear energy renaissance continues in Texas with an announcement by NuScale Power. The Oregon-based provider of proprietary and innovative advanced small modular reactor (SMR) nuclear technology announced in April it would be opening office space in Houston’s CityCentre.

“Opening this space in Houston underscores our commitment to meeting rising energy demand with safe, scalable nuclear technology,” John Hopkins, NuScale president and CEO, said in a news release. “This move expands our presence in a key market for partners, prospective customers, and stakeholders in addition to positioning us for the future as we focus on the near-term deployment of our industry-leading technology. Texas is leading the way in embracing advanced nuclear for grid resilience and industrial decarbonization, and we’re proud to expand our footprint and capabilities in this important region.”

Interest in nuclear power has been growing in recent years thanks to tensions with oil-rich nations, concerns about man-made climate change from fossil fuels, and the rapidly increasing power needs of data centers. Both Dow and Texas A&M University have announced expanded nuclear power projects in the last year, with an eye of changing the face of Texas’s energy industry through smaller, safer fission reactors.

Enter NuScale, founded in 2007 from technology developed at the University of Oregon. Their modular SMR technology generates 77 megawatts and is one of the only small modular reactors (SMR) to receive design approval from the U.S. Nuclear Regulatory Commission (NRC). These advances have led to runaway success for NuScale, whose stock has risen by more than 1,670 percent since the start of 2024.

The new operations campus in CityCentre is expected to facilitate the movement, installation and coordination of NuScale technology into the various energy systems. Typically, SMRs are used for off-grid installations, desalination operations, mining facilities and similar areas that lack infrastructure. However, the modularity means that they can be easily deployed to a variety of areas.

It comes none too soon. ERCOT projects that Texas data centers alone will require 77,965 megawatts by 2030.