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ChatGPT’s Peloton Suggestion Sparks Concerns Over Intrusive App Discovery

Context And Overview

During a routine conversation, ChatGPT unexpectedly suggested the Peloton app, prompting a backlash from OpenAI customers. This incident, captured in a widely reshared post on X, raised concerns that even paid subscribers might be subjected to unsolicited app suggestions—misinterpreted by some as in-app advertising.

User Backlash And Repercussions

Yuchen Jin, co-founder of ai startup Hyberbolic, showcased a screenshot where ChatGPT recommended Peloton during an unrelated discussion about an Elon Musk podcast. Jin, a $200-per-month Pro Plan subscriber, voiced his discontent over the unexpected appearance of the app, arguing that paid customers should not encounter such distractions. Additional users noted similar experiences, including persistent promotions for Spotify despite their preference for alternative streaming services.

Openai Clarification And Testing Of App Discovery

Daniel McAuley, OpenAI’s data lead for ChatGPT, promptly clarified via Twitter that the placement was not a paid advertisement but merely a poorly contextualized suggestion to install Peloton’s app. McAuley acknowledged that the lack of relevancy undermined the user experience and emphasized that OpenAI was actively iterating on the functionality. A company spokesperson later confirmed that this testing initiative was part of OpenAI’s broader effort to integrate third-party app experiences directly within ChatGPT conversations.

Future Implications For Integrated App Experiences

The incident underscores the challenges of balancing innovative product integration with user expectations. As OpenAI aims to redefine the app ecosystem—potentially rivaling traditional app stores—the risk emerges that unwanted app suggestions might drive users to competitors. With services like Booking.com, Canva, and Coursera already integrated in the pilot phase (currently available to logged-in users outside the EU, Switzerland, and the U.K.), OpenAI must ensure that the approach resonates with its high-end clientele.

Conclusion

This episode serves as a reminder that even advanced technologies must align with user context and expectations. As OpenAI refines its strategy for app discovery within ChatGPT, the pressure will be on to deliver not only innovative but also relevant and non-disruptive interactions.

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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