AI, Meet Energy: Alejandro Betancourt López Muses on the Future of Tech

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By Barbara Brown

Technological transformation rarely follows a predictable path. The convergence of AI with traditional industries is creating opportunities that few anticipated even five years ago. For global entrepreneur Alejandro Betancourt López, this intersection of AI and energy represents both a personal investment success story and a broader vision for how technology will reshape business fundamentals.

With considerable experience spanning multiple sectors, Betancourt López offers valuable insights on how AI technologies will transform energy markets and what business leaders should consider when positioning themselves for the coming shifts. His perspective bridges practical business considerations with forward-looking technological assessment.

Early Recognition of AI’s Potential

While many investors have only recently joined the artificial intelligence rush, Alejandro Betancourt López made his move years before the current boom. “I have a big investment I made about five years ago in AI, and now it’s exploding,” he reveals. “When I invested, it wasn’t a big thing. So I think I got lucky.”

Though modest about claiming visionary status — “I’m not going to tell you I’m a visionary. But I thought it was a great idea” — his early position has proved remarkably prescient. He notes that this investment has multiplied twentyfold in value, demonstrating the financial rewards that can come from identifying technological tipping points before they become obvious.

This investment ethos aligns with his broader business philosophy of finding opportunities ahead of market consensus. “Where the value in the chain is going to be next, we like to be there first, so anything where we see we’re going to be where the revenue’s going to be, we want to be first there and have that vision,” he explains.

AI as a Universal Efficiency Enhancer

When discussing artificial intelligence specifically, Betancourt López cuts through complexity to identify its fundamental business value: “What is AI? It’s a machine that thinks faster and finds solutions faster. So AI just makes everything more efficient.”

He emphasizes that this efficiency boost applies across all sectors, not just technology-focused businesses: “So it’s not only in energy. In anything.” This universal applicability explains why he views AI as a transformative force comparable to previous industrial revolutions, but with even greater velocity: “I think the digital revolution is going to be as world-changing as the industrial revolution, but even faster and more aggressive.”

This acceleration factor creates both opportunities and challenges. “There are going to be a lot of winners, a lot of losers, and it’s just interesting times to live through,” he notes. Businesses that effectively implement AI solutions gain advantages that can compound rapidly, while those that lag risk finding themselves at structural disadvantages.

Specific Applications in Energy Markets

When examining how AI will reshape energy specifically, Betancourt López identifies several key application areas where intelligence technologies can create particular value.

In exploration and production, AI algorithms can process vast geological datasets to identify promising resource locations with higher accuracy than traditional methods. For distribution networks, machine learning can optimize energy flows and predict maintenance needs, reducing outages and improving grid reliability. On the consumption side, AI enables smarter energy usage through predictive analytics and automated efficiency measures.

These applications share a common thread: they leverage AI’s ability to process information at scales beyond human capacity. As Alejandro  Betancourt López succinctly explains, AI allows businesses to “think faster, give you a solution faster. They do trial and error faster than any human being and you can apply it to any industry in the world.”

While enthusiastic about AI’s transformative potential, Betancourt López maintains a practical view on how energy markets will evolve. Despite technological advances, he believes fossil fuels — particularly natural gas — will remain essential through the current transition period.

“I think gas is the future, if you ask me, more than solar,” he states. “I think we’re shifting, we’re not going to get away from hydrocarbons completely, we’re going to shift more into gas than oil.” This assessment stems from natural gas offering “a big demand in power generation right now,” especially in regions facing supply challenges.

He identifies specific opportunities within this transition: “Any new gas projects that are in different hemispheres, in different countries, can really take advantage of that. And any technology or infrastructure that can transport or make that gas available for transformation for power generation in a more efficient way, it’s going to be, I think, a winner in the next few years.”

This perspective demonstrates his balanced tactics — recognizing transformative technological potential while maintaining a practical assessment of market realities. His vision suggests AI will enhance rather than immediately replace traditional energy systems, creating hybrid models that improve efficiency within existing frameworks.

Employment Implications

The intersection of AI and energy raises important questions about workforce impacts. Betancourt López acknowledges that technological shifts will disrupt employment patterns: “A lot of transformation is going to happen. A lot of new jobs are going to be created, but unfortunately, a lot of traditional employment is going to be lost or replaced by this revolution.”

However, he sees this transition as ultimately creating new opportunities rather than simply eliminating work. Like previous technological revolutions, AI will likely create job categories that don’t yet exist while enhancing productive capacity across industries.

This perspective suggests businesses should prepare for workforce transformation rather than merely focusing on reduction. Organizations that proactively develop talent for emerging roles may gain advantages as labor markets evolve alongside technological capabilities.

Strategic Investment Approach

For business leaders considering how to position themselves for these technological shifts, Alejandro Betancourt López offers guidance based on his investment experience across multiple sectors.

First, he suggests developing specialized knowledge in specific technology applications rather than attempting to cover everything. “I consider myself a very fast learner, and that’s why I call myself, I could be a good director for orchestra because I know how to play a little bit of every instrument,” he shares. Understanding enough to provide direction while relying on specialists for implementation allows leaders to maintain oversight across complex technological initiatives.

Second, he emphasizes the importance of information sources when evaluating technology opportunities. “Everything I do is based on intuition and information. Intuition based on the right information and the right people that surround you,” he notes. Leaders should develop networks that provide quality insights about technological developments, particularly from those actively working with emerging systems.

Finally, Betancourt López suggests maintaining disciplined investment selection amid technology hype. “They bring you 100 ideas and you analyze them, and out of those 100 ideas, you select 10 and then out of those 10, you select two and you fund those two and hopefully you get them right,” he explains. This focused approach acknowledges that even during transformative periods, selective investment typically outperforms attempting to capture every trend.

AI and Energy Through 2030

As business leaders consider how AI will reshape energy markets through the current decade, Betancourt López’s perspective suggests several key developments to watch.

AI will increasingly optimize existing energy systems, improving efficiency before enabling more radical transformations. “Any technology or infrastructure that can transport or make that gas available for transformation for power generation in a more efficient way” will create particular value during this transition period.

Natural gas will continue gaining importance as a transitional energy source, with AI enhancing both production and distribution capabilities. Companies capable of delivering gas-based solutions with improved efficiency through intelligent systems may find particular advantages in current market conditions.

And perhaps most importantly, a competitive advantage will increasingly come from the speed and quality of AI implementation rather than merely having access to the technology. As AI tools become widely available, execution capability will determine which organizations capture the most value from technological advances.

For Alejandro Betancourt López, the intersection of artificial intelligence and energy markets represents a prime example of his investment philosophy in action: identifying value shifts early and positioning accordingly. As both fields continue evolving, his experiences offer valuable insights for leaders navigating this complex yet promising technological landscape.

Click here to learn more about Alejandro Betancourt López.