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Unlocking $2.1 Trillion in Energy Potential
One company has developed a technology that extracts valuable resources from coal without burning it. From jet fuel to diesel and more, Frontieras North America has the potential to address $2.1 trillion in annual markets*.
It’s similar to when John D. Rockefeller commercialized oil refining technology. If Frontieras captures just 2% of the global coal market, they would position themselves as the global leader in the space.
They just broke ground for their $850 million flagship facility and reserved the ‘FASF’ NASDAQ ticker. Don’t miss your chance to join the next phase of growth: invest in Frontieras before the opportunity ends on August 27.
Frontieras is offering securities through the use of an Offering Statement that has been qualified by the Securities and Exchange Commission under Tier II of Regulation A. A copy of the Final Offering Circular that forms a part of the Offering Statement may be obtained from: invest.frontieras.com. Reservation of the ticker symbol is not a guarantee that we will be listed on the NASDAQ. Listing on the NASDAQ is subject to approvals. Sources* The global market for our products is worth a combined value of over $2.1 trillion.
Artificial intelligence is changing the structure of work, but current evidence does not support a simple prediction that AI will replace most workers. The stronger pattern is task reallocation. Software can now perform parts of research, writing, coding, customer support, data analysis, administration, and design. Yet most occupations still contain tasks requiring judgment, accountability, physical action, domain knowledge, or human interaction.
The International Labour Organization’s 2025 global assessment found that about one in four workers is employed in an occupation with some exposure to generative AI. Only 3.3 percent of global employment falls into the highest exposure category. The ILO concludes that transformation of jobs is more likely than complete replacement in most cases.
Changing Jobs Rather Than Disappearing Jobs
This distinction matters for career planning. A job title may survive while its daily work changes substantially.
The World Economic Forum’s Future of Jobs Report 2025 estimates that 170 million jobs could be created by 2030 while 92 million could be displaced. That would produce a net increase of 78 million jobs. The report also estimates that 39 percent of workers’ existing skill sets may change or become outdated by 2030.
The fastest-growing technical skill areas include AI and big data, networks and cybersecurity, and technological literacy. Employers also place rising value on analytical thinking, creative thinking, resilience, leadership, and continuous learning. Technical knowledge alone will therefore not define career strength.
Domain Knowledge Meets AI Capability
A stronger career position may come from combining domain expertise with AI capability.
A financial analyst who understands accounting, regulation, business models, and AI-assisted analysis has a different value profile from someone who only knows how to use an AI tool. The same logic applies to doctors, engineers, marketers, teachers, lawyers, journalists, designers, and operations professionals.
Research from the OECD has also found that AI-related jobs often require a mixture of technical and human skills. Communication, problem solving, creativity, teamwork, leadership, and technical knowledge frequently appear together in employment demand.
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Entry-Level Careers Face a Different Problem
AI is also changing entry-level work. Many junior roles traditionally involved routine drafting, basic research, document preparation, data cleaning, or repetitive analysis. These are among the tasks that generative AI can increasingly perform.
This may reduce some traditional starting positions or change what employers expect from new graduates.
Students may need to enter the labor market with stronger applied skills than previous generations required. They may be expected to use AI, verify its output, explain decisions, work with data, and solve less structured problems earlier in their careers.
The Global Impact Will Not Be Equal
The geographic impact of AI will also be uneven.
A 2026 ILO and World Bank study covering 135 countries found that developing economies may experience AI-related disruption without receiving the same productivity gains as advanced economies. Digital infrastructure, technology access, task structures, and workforce capabilities influence how countries benefit from AI adoption.
This means AI literacy alone is not enough. Workers need access, practice, and a professional field where AI can be applied to useful work.
Career Planning Is Becoming Skill Planning
Career planning should move away from choosing a single profession assumed to remain protected from technological change.
A more durable approach is building a skill stack. That stack can include one professional domain, practical AI use, data literacy, communication, problem solving, and the ability to learn new tools.
Cybersecurity, healthcare, engineering, skilled trades, education, energy, agriculture, and AI-related technical roles may grow for different reasons. Nearly all, however, will absorb more digital technology.
The future career question is becoming less about whether a profession uses AI. It is becoming about which tasks AI can perform, which decisions remain human, and whether workers can move toward work requiring deeper knowledge, judgment, responsibility, and human interaction.
Careers will increasingly be built through repeated adaptation rather than one qualification followed by decades of unchanged work.
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