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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Houston energy expert: How the U.S. can turn carbon into growth

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For the past 40 years, climate policy has often felt like two steps forward, one step back. Regulations shift with politics, incentives get diluted, and long-term aspirations like net-zero by 2050 seem increasingly out of reach. Yet greenhouse gases continue to rise, and the challenges they pose are not going away.

This matters because the costs are real. Extreme weather is already straining U.S. power grids, damaging homes, and disrupting supply chains. Communities are spending more on recovery while businesses face rising risks to operations and assets. So, how can the U.S. prepare and respond?

The Baker Institute Center for Energy Studies (CES) points to two complementary strategies. First, invest in large-scale public adaptation to protect communities and infrastructure. Second, reframe carbon as a resource, not just a waste stream to be reduced.

Why Focusing on Emissions Alone Falls Short

Peter Hartley argues that decades of global efforts to curb emissions have done little to slow the rise of CO₂. International cooperation is difficult, the costs are felt immediately, and the technologies needed are often expensive. Emissions reduction has been the central policy tool for decades, and it has been neither sufficient nor effective.

One practical response is adaptation, which means preparing for climate impacts we can’t avoid. Some of these measures are private, taken by households or businesses to reduce their own risks, such as farmers shifting crop types, property owners installing fire-resistant materials, or families improving insulation. Others are public goods that require policy action. These include building stronger levees and flood defenses, reinforcing power grids, upgrading water systems, revising building codes, and planning for wildfire risks. Such efforts protect people today while reducing long-term costs, and they work regardless of the source of extreme weather. Adaptation also does not depend on global consensus; each country, state, or city can act in its own interest. Many of these measures even deliver benefits beyond weather resilience, such as stronger infrastructure and improved security against broader threats.

McKinsey research reinforces this logic. Without a rapid scale-up of climate adaptation, the U.S. will face serious socioeconomic risks. These include damage to infrastructure and property from storms, floods, and heat waves, as well as greater stress on vulnerable populations and disrupted supply chains.

Making Carbon Work for Us

While adaptation addresses immediate risks, Ken Medlock points to a longer-term opportunity: turning carbon into value.

Carbon can serve as a building block for advanced materials in construction, transportation, power transmission, and agriculture. Biochar to improve soils, carbon composites for stronger and lighter products, and next-generation fuels are all examples. As Ken points out, carbon-to-value strategies can extend into construction and infrastructure. Beyond creating new markets, carbon conversion could deliver lighter and more resilient materials, helping the U.S. build infrastructure that is stronger, longer-lasting, and better able to withstand climate stress.

A carbon-to-value economy can help the U.S. strengthen its manufacturing base and position itself as a global supplier of advanced materials.

These solutions are not yet economic at scale, but smart policies can change that. Expanding the 45Q tax credit to cover carbon use in materials, funding research at DOE labs and universities, and supporting early markets would help create the conditions for growth.

Conclusion

Instead of choosing between “doing nothing” and “net zero at any cost,” we need a third approach that invests in both climate resilience and carbon conversion.

Public adaptation strengthens and improves the infrastructure we rely on every day, including levees, power grids, water systems, and building standards that protect communities from climate shocks. Carbon-to-value strategies can complement these efforts by creating lighter, more resilient carbon-based infrastructure.

CES suggests this combination is a pragmatic way forward. As Peter emphasizes, adaptation works because it is in each nation’s self-interest. And as Ken reminds us, “The U.S. has a comparative advantage in carbon. Leveraging it to its fullest extent puts the U.S. in a position of strength now and well into the future.”

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Scott Nyquist is a senior advisor at McKinsey & Company and vice chairman, Houston Energy Transition Initiative of the Greater Houston Partnership. The views expressed herein are Nyquist's own and not those of McKinsey & Company or of the Greater Houston Partnership. This article originally appeared on LinkedIn.

UH launches new series on AI’s impact on the energy sector

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The University of Houston's Energy Transition Institute has launched a new Energy in Action Seminar Series that will feature talks focused on the intersection of the energy industry and digitization trends, such as AI.

The first event in the series took place earlier this month, featuring Raiford Smith, global market lead for power & energy for Google Cloud, who presented "AI, Energy, and Data Centers." The talk discussed the benefits of widespread AI adoption for growth in traditional and low-carbon energy resources.

Future events include:

“Through this timely and informative seminar series, ETI will bring together energy professionals, researchers, students, and anyone working in or around digital innovation in energy," Debalina Sengupta, chief operating officer of ETI, said in a news release. "We encourage industry members and students to register now and reap the benefits of participating in both the seminar and the reception, which presents a fantastic opportunity to stay ahead of industry developments and build a strong network in the Greater Houston energy ecosystem.”

The series is slated to continue throughout 2026. Each presentation is followed by a one-hour networking reception. Register for the next event here.

ExxonMobil pauses plans for $7B hydrogen plant in Baytown

project on pause

As anticipated, Spring-based oil and gas giant ExxonMobil has paused plans to build a low-hydrogen plant in Baytown, Chairman and CEO Darren Woods told Reuters.

“The suspension of the project, which had already experienced delays, reflects a wider slowdown in efforts by traditional oil and gas firms to transition to cleaner energy sources as many of the initiatives struggle to turn a profit,” Reuters reported.

Woods signaled during ExxonMobil’s second-quarter earnings call that the company was weighing whether it would move forward with the proposed $7 billion plant.

The Biden-era Inflation Reduction Act established a 10-year incentive, the 45V tax credit, for production of clean hydrogen. But under President Trump’s One Big Beautiful Bill Act, the period for beginning construction of low-carbon hydrogen projects that qualify for the tax credit has been compressed. The Inflation Reduction Act called for construction to begin by 2033. The Big Beautiful Bill changed the construction start time to early 2028.

“While our project can meet this timeline, we’re concerned about the development of a broader market, which is critical to transition from government incentives,” Woods said during the earnings call.

Woods had said ExxonMobil was figuring out whether a combination of the 45Q tax credit for carbon capture projects and the revised 45V tax credit would enable a broader market for low-carbon hydrogen.

“If we can’t see an eventual path to a market-driven business, we won’t move forward with the [Baytown] project,” Woods told Wall Street analysts.

“We knew that helping to establish a brand-new product and a brand-new market initially driven by government policy would not be easy or advance in a straight line,” he added.

ExxonMobil announced in 2022 that it would build the low-carbon hydrogen plant at its refining and petrochemical complex in Baytown. The company had indicated the plant would start initial production in 2027.

ExxonMobil had said the Baytown plant would produce up to 1 billion cubic feet of hydrogen per day made from natural gas, and capture and store more than 98 percent of the associated carbon dioxide. The plant would have been capable of storing as much as 10 million metric tons of CO2 per year.