Competition regulation Archives | Page 43 of 113

New report finds IT leaders unprepared for evolving cyber threats

A new global survey by 11:11 Systems highlights growing concerns among IT leaders over cyber incident recovery. More than 800 senior IT professionals across North America, Europe, and the Asia Pacific report a rising strain from evolving threats, staffing gaps, and limited clean-room infrastructure.

Over 80% of respondents experienced at least one major cyberattack in the past year, with more than half facing multiple incidents. Nearly half see recovery planning complexity as their top challenge, while over 80% say their organisations are overconfident in their recovery capabilities.

The survey also reveals that 74% believe integrating AI could increase cyberattack vulnerability. Despite this, 96% plan to invest in cyber incident recovery within the next 12 months, underlining its growing importance in budget strategies.

The financial stakes are high. Over 80% of respondents reported spending at least six figures during just one hour of downtime, with the top 5% incurring losses of over one million dollars per hour. Yet 30% of businesses do not test their recovery plans annually, despite these risks.

11:11 Systems’ CTO Justin Giardina said organisations must adopt a proactive, AI-driven approach to recovery. He emphasised the importance of advanced platforms, secure clean rooms, and tailored expertise to enhance cyber resilience and expedite recovery after incidents.

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Policy hackathon shapes OpenAI proposals ahead of EU AI strategy

OpenAI has published 20 policy proposals to speed up AI adoption across the EU. Released shortly before the European Commission’s Apply AI Strategy, the report outlines practical steps for member states, businesses, and the public sector to bridge the gap between ambition and deployment.

The proposals originate from Hacktivate AI, a Brussels hackathon with 65 participants from EU institutions, governments, industry, and academia. They focus on workforce retraining, SME support, regulatory harmonisation, and public sector collaboration, highlighting OpenAI’s growing policy role in Europe.

Key ideas include Individual AI Learning Accounts to support workers, an AI Champions Network to mobilise SMEs, and a European GovAI Hub to share resources with public institutions. OpenAI’s Martin Signoux said the goal was to bridge the divide between strategy and action.

Europe already represents a major market for OpenAI tools, with widespread use among developers and enterprises, including Sanofi, Parloa, and Pigment. Yet adoption remains uneven, with IT and finance leading, manufacturing catching up, and other sectors lagging behind, exposing a widening digital divide.

The European Commission is expected to unveil its Apply AI Strategy within days. OpenAI’s proposals act as a direct contribution to the policy debate, complementing previous initiatives such as its EU Economic Blueprint and partnerships with governments in Germany and Greece.

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EU digital laws simplified by CEPS Task Force to boost innovation

The Centre for European Policy Studies (CEPS) Task Force, titled ‘Next Steps for EU Law and Regulation for the Digital World’, aims to refine and simplify the EU’s digital rulebook.

This rulebook now covers key legislation, including the Digital Markets Act (DMA), Digital Services Act (DSA), GDPR, Data Act, AI Act, Data Governance Act (DGA), and Cyber Resilience Act (CRA).

While these laws position Europe as a global leader in digital regulation, they also create complexity, overlaps, and legal uncertainty.

The Task Force focuses on enhancing coherence, efficiency, and consistency across digital acts while maintaining strong protections for consumers and businesses.

The CEPS Task Force emphasises targeted reforms to reduce compliance burdens, especially for SMEs, and strengthen safeguards.

It also promotes procedural improvements, including robust impact assessments, independent ex-post evaluations, and the adoption of RegTech solutions to streamline compliance and make regulation more adaptive.

Between November 2025 and January 2026, the Task Force will hold four workshops addressing: alignment of the DMA with competition law, fine-tuning the DSA, improving data governance, enhancing GDPR trust, and ensuring AI Act coherence.

The findings will be published in a Final Report in March 2026, outlining a simpler, more agile EU digital regulatory framework that fosters innovation, reduces regulatory burdens, and upholds Europe’s values.

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OpenAI expands into personal investing via acquisition of Roi

OpenAI has acquired the personal investing startup Roi, which promises AI-driven insights, education, and guidance for individual investors. The Verge reports that the acquisition marks OpenAI’s official entry into the personal finance space.

Following the deal, Roi will shut down its service on October 15 and delete all user data. Its offerings included traditional investing options alongside crypto and NFTs. The company cited this transition in its announcement.

OpenAI did not publicly disclose the purchase price. With this move, OpenAI takes a step beyond content, tools and agents, toward embedding financial services into its AI ecosystem. It questions how AI platforms may offer personalised wealth management or advisory services someday.

The acquisition also draws regulatory, ethical and trust considerations. Mixing AI with finance means issues like explainability, bias, fiduciary responsibility, data privacy and risk management become immediately relevant. Whether users will embrace AI financial advice depends as much on trust and governance as algorithmic accuracy.

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India’s competition watchdog urges AI self-audits to prevent market distortions

The Competition Commission of India (CCI) has urged companies to self-audit their AI systems to prevent anti-competitive practices and ensure responsible autonomy.

A call came as part of the CCI’s market study on AI, emphasising the risks of opacity and algorithmic collusion while highlighting AI’s potential to enhance innovation and productivity.

The study warned that dominant firms could exploit their control over data, infrastructure, and proprietary models to reinforce market power, creating barriers to entry. It also noted that opaque AI systems in user sectors may lead to tacit algorithmic coordination in pricing and strategy, undermining fair competition.

The regulatory approach of India, the CCI said, aims to balance technological progress with accountability through a co-regulatory framework that promotes both competition and innovation.

Additionally, the Commission plans to strengthen its technical capacity, establish a digital markets think tank and host a conference on AI and regulatory challenges.

A report recommended a six-step self-audit framework for enterprises, requiring evaluation of AI systems against competition risks, senior management oversight and clear accountability in high-risk deployments.

It also highlighted AI’s pro-competitive effects, particularly for MSMEs, which benefit from improved efficiency and greater access to digital markets.

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Breach at third-party support provider exposes Discord user data

Discord has disclosed a security incident after a third-party customer service provider was compromised. The breach exposed personal data from users who contacted Discord’s support and Trust & Safety teams.

An unauthorised party accessed the provider’s ticketing system and targeted user data in an extortion attempt. Discord revoked access, launched an investigation with forensic experts, and notified law enforcement. Impacted users will be contacted via official email.

Compromised information may include usernames, contact details, partial billing data, IP addresses, customer service messages, and limited government-ID images. Passwords, authentication data, and full credit card numbers were not affected.

Discord has notified data protection authorities and strengthened security controls for third-party providers. It has also reviewed threat detection systems to prevent similar incidents.

The company urges affected users to remain vigilant against suspicious messages. Service agents are available to answer questions and provide additional support.

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A new AI strategy by the EU to cut reliance on the US and China

The EU is preparing to unveil a new strategy to reduce reliance on American and Chinese technology by accelerating the growth of homegrown AI.

The ‘Apply AI strategy’, set to be presented by the EU tech chief Henna Virkkunen, positions AI as a strategic asset essential for the bloc’s competitiveness, security and resilience.

According to draft documents, the plan will prioritise adopting European-made AI tools across healthcare, defence and manufacturing.

Public administrations are expected to play a central role by integrating open-source EU AI systems, providing a market for local start-ups and reducing dependence on foreign platforms. The Commission has pledged €1bn from existing financing programmes to support the initiative.

Brussels has warned that foreign control of the ‘AI stack’ (the hardware and software that underpin advanced systems) could be ‘weaponised’ by state and non-state actors.

These concerns have intensified following Europe’s continued dependence on American tech infrastructure. Meanwhile, China’s rapid progress in AI has further raised fears that the Union risks losing influence in shaping the technology’s future.

Several high-potential AI firms have already been hosted by the EU, including France’s Mistral and Germany’s Helsing. However, they rely heavily on overseas suppliers for software, hardware, and critical minerals.

The Commission wants to accelerate the deployment of European AI-enabled defence tools, such as command-and-control systems, which remain dependent on NATO and US providers. The strategy also outlines investment in sovereign frontier models for areas like space defence.

President Ursula von der Leyen said the bloc aims to ‘speed up AI adoption across the board’ to ensure it does not miss the transformative wave.

Brussels hopes to carve out a more substantial global role in the next phase of technological competition by reframing AI as an industrial sovereignty and security instrument.

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Labour market remains stable despite rapid AI adoption

Surveys show persistent anxiety about AI-driven job losses. Nearly three years after ChatGPT’s launch, labour data indicate that these fears have not materialised. Researchers examined shifts in the US occupational mix since late 2022, comparing them to earlier technological transitions.

Their analysis found that shifts in job composition have been modest, resembling the gradual changes seen during the rise of computers and the internet. The overall pace of occupational change has not accelerated substantially, suggesting that widespread job losses due to AI have not yet occurred.

Industry-level data shows limited impact. High-exposure sectors, such as Information and Professional Services, have seen shifts, but many predate the introduction of ChatGPT. Overall, labour market volatility remains below the levels of historical periods of major change.

To better gauge AI’s impact, the study compared OpenAI’s exposure data with Anthropic’s usage data from Claude. The two show limited correlation, indicating that high exposure does not always imply widespread use, especially outside of software and quantitative roles.

Researchers caution that significant labour effects may take longer to emerge, as seen with past technologies. They argue that transparent, comprehensive usage data from major AI providers will be essential to monitor real impacts over time.

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AI industry faces recalibration as Altman delays AGI

OpenAI CEO Sam Altman has again adjusted his timeline for achieving artificial general intelligence (AGI). After earlier forecasts for 2023 and 2025, Altman suggests 2030 as a more realistic milestone. The move reflects mounting pressure and shifting expectations in the AI sector.

OpenAI’s public projections come amid challenging financials. Despite a valuation near $500 billion, the company reportedly lost $5 billion last year on $3.7 billion in revenue. Investors remain drawn to ambitious claims of AGI, despite widespread scepticism. Predictions now span from 2026 to 2060.

Experts question whether AGI is feasible under current large language model (LLM) architectures. They point out that LLMs rely on probabilistic patterns in text, lack lived experience, and cannot develop human judgement or intuition from data alone.

Another point of critique is that text-based models cannot fully capture embodied expertise. Fields like law, medicine, or skilled trades depend on hands-on training, tacit knowledge, and real-world context, where AI remains fundamentally limited.

As investors and commentators calibrate expectations, the AI industry may face a reckoning. Altman’s shifting forecasts underscore how hype and uncertainty continue to shape the race toward perceived machine-level intelligence.

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Future of work shaped by AI, flexible ecosystems and soft retirement

As technology reshapes workplaces, how we work is set for significant change in the decade’s second half. Seven key trends are expected to drive this transformation, shaped by technological shifts, evolving employee expectations, and new organisational realities.

AI will continue to play a growing role in 2026. Beyond simply automating tasks, companies will increasingly design AI-native workflows built from the ground up to automate, predict, and support decision-making.

Hybrid and remote work will solidify flexible ecosystems of tools, networks, and spaces to support employees wherever they are. The trend emphasises seamless experiences, global talent access, and stronger links between remote workers and company culture.

The job landscape will continue to change as AI affects hiring in clerical, administrative, and managerial roles, while sectors such as healthcare, education, and construction grow. Human skills, such as empathy, communication, and leadership, will become increasingly valuable.

Data-driven people management will replace intuition-based approaches, with AI used to find patterns and support evidence-based decisions. Employee experience will also become a key differentiator, reflecting customer-focused strategies to attract and retain talent.

An emerging ‘soft retirement’ trend will see healthier older workers reduce hours rather than stop altogether, offering businesses valuable expertise. Those who adapt early to these trends will be better positioned to thrive in the future of work.

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