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Cyprus Sets The Benchmark: 74% Of Master’s Students Are Women In 2022

Cyprus is rewriting the rulebook on higher education in the European Union. According to Eurostat data, the island nation recorded the highest percentage of women in master’s programs among EU member states in 2022 while also boasting one of the strongest showings in doctoral studies.

Master’s Programs: A New Standard In Gender Equality

In 2022, Cyprus enrolled 9,359 master’s (or equivalent) students, of whom 6,948 were women—a striking 74.2%. This figure outpaces other EU nations, with Poland (67.3%) and Lithuania (66.1%) trailing behind. Across the EU, women make up 58.6% of master’s students (905,678 out of 1.5 million), a majority in every country except Luxembourg, where gender parity prevails.

Doctoral Studies: Climbing The Ladder

Cyprus isn’t stopping at master’s programs. At the doctoral level, 83 out of 143 students in 2022 were female (58.0%), placing Cyprus second only to Latvia (59.6%) and ahead of Lithuania (57.4%). In comparison, the EU-wide average stands at 48.5% (48,079 out of 99,204).

A Decade Of Progress

Over the past decade, the EU has seen a slight decline of 0.4 percentage points in the share of women in master’s studies—driven by modest decreases in 12 countries, ranging from -0.1 in Slovenia to -3.6% in Hungary. In stark contrast, the share of women in doctoral studies has grown by 1.0 percentage point overall, with Cyprus registering the most impressive surge: an 8.0 percentage point increase from 2013 to 2022.

Implications For The Future

These figures highlight Cyprus as a leader in fostering gender equality in higher education, a crucial factor for driving future innovation and leadership. With such a robust commitment to empowering women at the highest academic levels, Cyprus is not only setting a benchmark for the EU but also paving the way for a more diverse and dynamic knowledge economy.

As the global spotlight increasingly focuses on diversity and inclusion, Cyprus’ standout performance in both master’s and doctoral studies signals a promising shift toward a more balanced and innovative future in higher education.

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

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.

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?

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