Breaking news

Oil Prices Experience Largest Weekly Drop Since October Amid U.S. Policy Uncertainty

by News Editor

March 7, 2025

In a remarkable shift, oil prices are on track to witness their largest weekly decline since October last year. The pivotal factor contributing to this downturn is the ambiguity surrounding the U.S. trade policy, which threatens to dampen oil demand in the world’s largest economy.

Key Figures

Brent crude oil futures saw a slight rise by 0.43% to $69.76 per barrel.
West Texas Intermediate (WTI) climbed 0.38% to $66.61 per barrel.
Despite these increments, both contracts are expected to end the week with a significant drop—Brent by 4.9% and WTI by 4.8%.

Market Dynamics

The oil market, like many others, finds itself in turmoil due to the fluctuating trade policies of the United States—the world’s biggest oil consumer. Recent statements by President Trump indicate a temporary halting of enhanced tariffs on goods from Canada and Mexico until April 2. Yet, tariffs on steel and aluminum will proceed as planned. This partial suspension fails to address Canadian energy products, which still face a 10% levy.

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For an in-depth analysis of similar economic fluctuations, check out our article on Cyprus Exports to the US.

Expert Insight

Vandana Hari, the founder of Vanda Insights, notes, “Financial markets seem engulfed in panic mode, with limited solace found in President Trump’s delays. Even as crude prices hover around a four-month low, further declines remain possible.”

Future Outlook

According to a report by Fitch, the risk to pricing persists following OPEC+’s decision to boost petroleum output in April. This could lead to an oversupply, sending Brent prices to their lowest since December 2021.

The AI Agent Revolution: Can the Industry Handle the Compute Surge?

by THEFUTURE.TEAM

March 28, 2025

As AI agents evolve from simple chatbots into complex, autonomous assistants, the tech industry faces a new challenge: Is there enough computing power to support them? With AI agents poised to become integral in various industries, computational demands are rising rapidly.

A recent Barclays report forecasts that the AI industry can support between 1.5 billion and 22 billion AI agents, potentially revolutionizing white-collar work. However, the increase in AI’s capabilities comes at a cost. AI agents, unlike chatbots, generate significantly more tokens—up to 25 times more per query—requiring far greater computing power.

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Tokens, the fundamental units of generative AI, represent fragmented parts of language to simplify processing. This increase in token generation is linked to reasoning models, like OpenAI’s o1 and DeepSeek’s R1, which break tasks into smaller, manageable chunks. As AI agents process more complex tasks, the tokens multiply, driving up the demand for AI chips and computational capacity.

Barclays analysts caution that while the current infrastructure can handle a significant volume of agents, the rise of these “super agents” might outpace available resources, requiring additional chips and servers to meet demand. OpenAI’s ChatGPT Pro, for example, generates around 9.4 million tokens annually per subscriber, highlighting just how computationally expensive these reasoning models can be.

In essence, the tech industry is at a critical juncture. While AI agents show immense potential, their expansion could strain the limits of current computing infrastructure. The question is, can the industry keep up with the demand?