The great AI hype correction of 2025

The release of ChatGPT in late 2022 sparked optimism and rapid advancements in AI technology, but by 2025, disillusionment is evident. AI companies struggled to meet inflated expectations, with many projects failing to scale. Despite setbacks, continued research indicates potential for future developments, necessitating a reevaluation of AI’s role and capabilities.

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It’s time to revamp IT security to deal with AI

In May, a security breach exposed personal data of over 483,000 patients due to an unsecured database. A report revealed that 90% of organizations are unprepared for AI-related threats. Key threats include AI-driven social engineering, prompt injection attacks, and data poisoning. Companies must enhance cybersecurity strategies immediately.

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OpenAI has trained its LLM to confess to bad behavior

OpenAI is testing a method to make large language models (LLMs) produce “confessions,” where they explain their actions and admit mistakes. This aims to improve transparency and reliability in AI. While initial results are promising, researchers caution about trusting LLMs’ self-assessments, as they may not always recognize wrongdoing.

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Three Essentials for Making Better Choices

Effective decision analysis in business relies on three key prerequisites: leaders must have bandwidth to engage, clarity of purpose, and a comprehensive understanding of options. Without these, even sophisticated analytical tools fail. Establishing these foundations enhances the decision-making process, enabling firms to tackle complex challenges with greater clarity and confidence.

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4 technologies that didn’t make our 2026 breakthroughs list

Each year, a newsroom selects 10 technological breakthroughs shaping the future. The 2026 list will be released on January 12. This year, several technologies like male contraceptives, world models in AI, identity verification methods, and an IVF achievement featuring the “oldest baby” were considered but ultimately excluded from the final list.

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Hot chips, cold feet: What happens when AI’s infrastructure outpaces demand?

The demand for computer chips, driven by AI, contrasts with investor caution due to market fluctuations. CIOs face dilemmas regarding ongoing AI projects amid concerns of a potential bubble. While infrastructure investments may be too expansive and risky, strategic planning could yield long-term benefits and bargains if market corrections occur.

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Leading an ‘Octopus Organization’ — The CIO’s new mandate

The article discusses the insights from “The Octopus Organization,” a book emphasizing the modern CIO’s role in fostering adaptive, customer-centric organizations. It contrasts traditional “Tin Man” structures with dynamic “Octopus” traits, highlighting the necessity for CIOs to integrate technology with strategic leadership, cultivate curiosity, and prioritize continuous learning to drive transformation.

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The Race To Agentic Payments: Where We Are Now In US B2C E-Commerce

This blog explores the concept of agentic payments in B2C e-commerce, highlighting their current hypothetical status. It distinguishes between non-existent agentic payments, which require AI autonomy, and AI-agent-assisted payments that involve human input. Key developments in the sector are addressed, indicating a rapid evolution despite unresolved questions about security and liability.

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OpenText Redefines Enterprise Automation And AI

OpenText World 2025 focused on AI’s transformative capacity in enterprises, emphasizing security’s critical role. Key announcements included the introduction of the OpenText AI Data Platform and SAST Aviator, aimed at enhancing data security and ensuring dependable AI. However, challenges remain in effectively embedding these innovations amid fragmented systems.

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Don’t Fear Being ODD — Embrace Observability-Driven Development For Faster, Safer Innovation

The article discusses the challenges of reactive operations in software development, especially during crisis moments. It promotes observability-driven development (ODD) as a proactive approach, integrating real-time telemetry into the software lifecycle, enabling early insights and informed decision-making. This cultural shift reduces technical debt, enhances speed, and promotes stability, ultimately improving work-life balance for developers.

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What AI gets right in cybersecurity and where it must improve

AI serves dual roles in cybersecurity: enhancing defenses while being exploited by threat actors. CISOs utilize AI for threat detection and modeling improvements, but challenges like data quality and vendor accountability persist. Trust in AI tools remains an issue as organizations seek more robust predictive capabilities and ensure responsible usage going forward.

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NordVPN CTO Talks AI Investment and Navigating International Regs

NordVPN is adapting its operations to comply with diverse international digital laws and enhance online privacy. CTO Marijus Briedis emphasizes integrating AI to maintain a competitive edge while prioritizing security. As NordVPN develops in-house AI resources, it navigates shifting regulatory landscapes, including emerging AI legislation in various countries.

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Ask the Expert: How CIOs Prove Business Value

CIOs are increasingly responsible for demonstrating business value, facing challenges like shadow IT and underutilized systems. Experts emphasize the importance of strong business relationships, adaptive change management, and data-driven decision-making. Collaboration with finance leaders and agile methodologies are key to successful technology integration and achieving strategic goals amidst external chaos.

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Banking’s New Power Role: The Chief Digital, Data, And AI Officer

The banking sector is experiencing a significant transformation, with major banks appointing Chief Data, Digital, and AI Officers. This strategic shift emphasizes the importance of digital, data, and AI in driving competitive advantage, customer experience, and innovation, focusing on customer-facing interactions and improved collaboration to create new value models in banking.

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