Egypt Seeks Fuel Supplies as Mideast Crisis Cuts Israel Gas Flow
The government is preparing to issue a tender this month to import up to 1 million tons of fuel oil, with delivery planned for August, according to people with direct knowledge of the matter. That would add to a recent tender for fuel oil and help meet requirements for power generation just as the conflict between Israel and Iran puts gas supply at risk, they said.
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Why does the White House want to redesign gas cans? Explaining the situation
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SOUEAST Unveils New Chapter in Egypt, Strengthening African Market Presence
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Archaeological sites like Abu Hureyra in modern-day Syria reveal this wasn't a sudden break from the past but a gradual, iterative process of learning, testing, and integrating new tools into existing ways of life. This evolutionary—not revolutionary—mindset offers a key lesson: Transformation doesn't mean total disruption. It means layering innovation onto what works and building systems that scale over time. The AI transition requires a similar approach: pilot programs, feedback loops, reskilling, and workforce support must evolve hand-in-hand with technological integration. Strategy: AI Integration Requires Incremental Adaptation Just as early agricultural societies developed irrigation systems and record-keeping via clay tablets, modern organizations are building the infrastructure to support AI-enabled workflows. But success hinges not on speed, but on sequencing. McKinsey reports that although generative AI could add up to $4.4 trillion in global productivity annually, only 21% of companies have adopted AI in more than one business function as of 2023. This isn't a failure—it's a sign that organizations are proceeding thoughtfully. Boards and CFOs should be tracking AI ROI, not only in terms of cost savings but in how it reshapes value creation. That means budgeting for phased implementation and workforce transformation simultaneously. Policy: Redesigning Governance for Human-AI Collaboration Early civilizations didn't just invent tools—they also wrote laws. The Code of Hammurabi, dating to 1750 BCE, is one of the first known legal frameworks for managing agricultural property, labor, and dispute resolution. Today's version? AI ethics policies, data governance protocols, and algorithmic accountability. Regulators are already acting. The EU's AI Act, passed in 2024, imposes risk-based requirements for transparency, bias mitigation, and human oversight. Meanwhile, the European Sustainability Reporting Standards (ESRS) specifically S1 and S2, under the guidance of EFRAG, now require companies to report on the impact of AI on workforce strategy and human capital governance. Boards must go beyond compliance. They must ask: The fiduciary risks are real. A poorly governed algorithm can expose companies to legal liability, reputational damage, and talent loss. Treat AI governance as a board-level issue, not just a technical one. Programs: Cultivating Workforce Resilience and Knowledge Transfer Farming didn't eliminate the need for hunting. Early societies maintained both capabilities as insurance against failure. Similarly, organizations shouldn't rush to fully automate without investing in human capital. This means reskilling must become the norm. According to PwC study on workforce hopes and fears, 40% of workers will need up to six months of training to remain relevant in the AI economy. High-performing companies are already taking the lead. AT&T's collaboration with Udacity to create nano-degree programs reduced reskilling time by 35% and boosted internal mobility. Boards and CHROs should champion programs that: If early societies could preserve astronomy, crop rotation, and animal husbandry without Google, we can certainly codify AI literacy and strategic workforce knowledge today. Measuring What Matters: Human Capital as a Source of Value The agricultural revolution spurred population growth, urbanization, and eventually, modern economies. Today's AI revolution will reshape how we measure value—especially in intangible assets like skills, collaboration, and creativity. Research by Alex Edmans shows that companies investing in employee well-being significantly outperform their peers in long-term shareholder returns. This is why ISO 30414 and SEC human capital disclosure expectations are gaining traction. Human Capital ROI (HCROI) should be tracked with the same rigor as Return on Equity or Investment. Boards should demand metrics that show not just AI adoption but how it enhances organizational resilience and workforce productivity. Final Thought: Change Is Inevitable. Human Judgment Is Indispensable. AI may feel new, but the pattern is ancient. Transformation is never just about tools—it's about how we govern change, support people, and sustain growth. The societies that thrived in the wake of agriculture weren't the most technologically advanced. They were the ones that integrated new tools into stable, human-centered systems. As we stand at the threshold of another era, it's time to remember what worked the first time: governance, adaptation, and investment in human capability. Let's not forget—we've been here before. Postscript: With appreciation to Stela Lupushor, whose co-authored blog post with me on this topic served as inspiration for this column.
