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IDC Sees $22.5 Trillion AI Economic Impact By 2031

AI Redefining Enterprise Decision‐Making

International Data Corporation (IDC) reported that artificial intelligence is changing how enterprises make technology decisions. Findings were presented at the company’s Directions 2026 event. The study examines how organizations build, acquire, and deploy technology as AI adoption expands.

The Two Phases Of The AI Supercycle

IDC describes an AI spending cycle consisting of two phases: infrastructure buildout, followed by enterprise adoption. Early investment is focused on computing capacity, while later stages depend on integration into business processes. Meredith Whalen, Chief Product and Research Officer at IDC, said enterprises are still in early adoption stages despite increased spending.

Economic Influence And The Rise Of Agentic Systems

IDC estimates AI could generate $22.5 trillion in global economic value by 2031. Growth is linked to productivity gains, new revenue models, and changes in business operations. The report also identifies a shift toward AI-driven purchasing processes, where automated systems influence decision-making and reduce reliance on manual input.

Beyond One-Size-Fits-All: Evolving AI Models

Enterprise AI is shifting toward multi-model and multi-agent systems. Organizations are adopting strategies to manage the selection, governance, and coordination of multiple AI tools. AI agents are increasingly used to automate processes, moving software from user-driven applications to systems that deliver outcomes with less manual interaction.

Strategic Adoption And Future Projections

IDC notes that value creation depends on how quickly companies move from testing to operational use. Workforce training and adoption of AI agents remain key factors. The report projects a transition by 2029 from training-focused models to large-scale inference integrated into enterprise systems.

Optimizing AI Investment And Measuring Value

IDC introduced the Agentic Business Value Maximisation Framework to help organizations assess AI use cases and measure outcomes. The framework focuses on prioritization and continuous evaluation. Around 42% of organizations report difficulty measuring AI performance and return on investment.

Conclusion

IDC data show continued expansion of AI adoption across enterprise operations. Execution and implementation remain key factors in determining outcomes. Organizations are expected to focus on deployment, measurement, and integration as AI use increases.

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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