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OpenAI Introduces Frontier to Power Enterprise AI Solutions

OpenAI continues to expand its enterprise footprint with the launch of Frontier, a sophisticated platform designed to unify disparate systems and data sources across organizations. This strategic move represents a clear commitment to meeting the evolving demands of business customers while reinforcing OpenAI’s position as a leader in artificial intelligence integration.

Redefining Enterprise AI Capabilities

Frontier functions as an intelligence layer that links internal applications, ticketing systems, and data warehouses that typically operate in isolation. Instead of requiring companies to rebuild their entire IT architecture, the platform allows them to deploy and manage AI agents within existing environments. These agents can autonomously perform tasks while remaining aligned with internal workflows.

As Fidji Simo, OpenAI’s CEO of Applications, noted during the announcement, the company does not intend to build every solution on its own. The statement highlights OpenAI’s reliance on partnerships and ecosystem collaboration rather than closed development.

Strategic Enterprise Momentum

OpenAI’s push into the enterprise segment has accelerated over the past year. The company reports more than 1 million business users globally, with enterprise clients now accounting for roughly 40% of overall revenue. According to CFO Sarah Friar, that share could approach 50% by the end of the year. Frontier is positioned as a natural extension of tools such as ChatGPT Enterprise, offering businesses deeper system-level integration rather than standalone AI features.

Empowering the Modern Workforce

A central feature of Frontier is the concept of shared business context. AI agents can access structured internal information and interact with company tools, enabling them to handle tasks such as running code, organizing files, or responding to service requests with greater accuracy. Built-in evaluation and optimization mechanisms allow these agents to improve over time, gradually shifting from assistive tools toward more autonomous digital collaborators. This direction was emphasized by Barret Zoph, OpenAI’s General Manager for Business-to-Business products, during the launch briefing.

Collaborations and Broader Ecosystem

The platform is built for flexibility, supporting agents developed by OpenAI, enterprise teams, and third-party innovators from industry giants such as Google, Microsoft, and Anthropic. With the acknowledgment that no single entity can address every AI need, OpenAI’s strategy highlights collaborative development. Early adopters of Frontier include notable organizations such as Uber, State Farm, Intuit, and Thermo Fisher Scientific, with broader availability projected over the coming months.

Looking Ahead

For organizations seeking practical ways to embed AI into daily operations, Frontier offers a framework that emphasizes integration over disruption. The platform illustrates a broader industry shift toward AI systems that operate alongside human teams rather than replacing them. With Frontier, OpenAI is positioning itself not merely as a tool provider, but as a long-term infrastructure partner in enterprise digital transformation.

Women Make Up A Majority Of The EU’s Science And Technology Workforce But The Real Gap Is Elsewhere

Women now make up the majority of the EU’s science and technology workforce. According to Eurostat, in 2025, more than 81.6 million people aged 15 to 74 were employed in science and technology occupations across the EU. Of those, 52.5% were women, equal to 42.8 million women. The number of women in these occupations rose by 27.9% compared with 2015, an increase of more than 9.3 million over a decade.

On the surface, the numbers resemble progress. However, Eurostat’s category requires context before that figure can be read accurately. The data refers to HRST, or Human Resources in Science and Technology, specifically people employed in science and technology occupations. These are roles where the main tasks require professional or technical knowledge in physical and life sciences, but also in social sciences and humanities. That definition is wider and broader than engineering, ICT, laboratory science, or high-tech research alone.

Zooming In

The gender picture changes once the data moves from a wider definition of the workforce to the narrower scientist-and-engineer (research and manufacturing) subgroup.

Scientists and engineers represented almost a quarter of all people employed in science and technology in the EU in 2025. Eurostat describes scientists and engineers as often being the innovators at the centre of technology-led development, making them an important subgroup to focus on separately.

Women accounted for only 40.8% of scientists and engineers in 2025, despite making up more than half of the wider category. That share has increased by a mere 0.5 percentage points over the past decade. The absolute number of women working as scientists and engineers rose from 5.3 million in 2015 to 8.2 million in 2025, despite the push from national and international organisations to increase the number of women in the field. Europe has expanded the number of women in science and technology occupations over ten years. However, that expansion has not extended equally into the scientist-and-engineer subgroup, where much of Europe’s research and innovation work is conducted.

In 2025, of the 39.4 million women aged 25 to 64 working in science and technology occupations in the EU, 35.5 million worked in service activities. Only 2.7 million worked in manufacturing. Women accounted for 57.5% of science and technology employment in services, but only 31.3% in manufacturing.

In 2025, the highest shares of women employed in science and technology occupations were recorded in Latvia at 62.4%, followed by Hungary’s Great Plain and North region at 61.1%, Estonia at 60.5%, Poland’s Central macroregion at 60.4%, and Lithuania at 60.3%. No EU country recorded a majority of women among science and technology workers in manufacturing.

Break-down

Eurostat’s figures measure employment in broad science and technology occupations. They do not show job security, pay levels, management roles, promotion rates, research leadership, or whether women are concentrated in junior or senior workplace positions.

The classification of “senior” also requires additional explanation. Eurostat reports that 45.9% of science and technology workers aged 25 to 64 in the EU were classified as “senior” HRST in 2025. In this dataset, “senior” refers to workers aged 45 to 64. It does not mean senior manager, senior researcher, team lead, or decision-maker.

A high female share in the wider Human Resource Science and Technology (HRST) category does not parallel equal representation across scientists, engineers, manufacturing roles, senior posts, pay, research funding, or decision-making. These figures also reflect the occupational mix inside each country or region, not only structural progress across all areas of science and technology.

The Case Of Cyprus

Eurostat data places Cyprus’s overall science and technology employment at 37.2% of the labour force in 2025, slightly above the EU-27 figure of 36.9%, and above Greece at 26.8%, Malta at 33.9%, and Turkey at 18.2%. This figure covers the total share of the labour force employed in science and technology across all genders.

Progress Or Work-in-Progress?

52.5% in the broad category. 40.8% among scientists and engineers. 31.3% in manufacturing. Europe’s gender gap in science and technology hasn’t closed yet, and there is still work to be done to encourage and support more women to enter the field, especially in research and manufacturing.

Let’s not wait another decade for another couple of percentage points of hope.

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