AI

How Should Businesses Kick Off Their AI Initiatives? Time for the AI Advice Column

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Businesses should initiate AI projects with caution, focusing on clear goals like efficiency or competitive advantage. They need to consider their current capabilities, data quality, and potential risks involved. Smaller firms may struggle without necessary personnel or adequate infrastructure. It’s essential to evaluate AI opportunities, prioritize tasks, and prepare for organizational changes, ensuring proper training and change management. Ultimately, selecting a well-defined proof of concept can aid in navigating the complexities of AI implementation.

https://diginomica.com/how-should-businesses-kick-their-ai-initiatives-time-ai-advice-column-your-doctors-are

Cybersecurity and AI : Towards a New Human-centered Approach

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AI adoption is reshaping business and increasing risks, requiring a shift in cybersecurity to focus on human factors. Traditional security methods are insufficient as threats exploit human cognitive weaknesses. New scenarios include deepfake impersonation and misinformation. Addressing these risks involves enhancing cognitive awareness, establishing verification protocols, regulating AI use, mapping cognitive risks, and preparing response teams. A cultural shift in organizations is essential for proactive AI risk management, integrating technology with human capabilities for comprehensive cybersecurity.

https://www.rsm.global/france/en/insights/yuksel-aydin-cybersecurity-ai-human-centered-approach

Goldman Sachs CIO: Prepare AI Natives to Shape Future of Work—as Only They Can

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Goldman Sachs CIO Marco Argenti emphasizes the need to prepare “AI natives” who, familiar with AI tools, will lead the evolution of work alongside AI. As agentic AI enables independent, decision-making agents, the next workforce generation, raised with this technology, is essential for collaboration. While junior roles may adjust, these AI natives will be pivotal due to their adaptability and understanding of AI’s capabilities. The challenge involves training this new talent in managing AI while ensuring experienced supervision remains crucial for quality control in a rapidly changing landscape dominated by AI. The transition demands not just technological, but cultural and managerial adjustments as organizations restructure roles and workflows around AI integration.

https://fortune.com/2025/07/03/goldman-sachs-cio-ai-natives-future-of-work/

Briefing

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TLDR: The EU Artificial Intelligence (AI) Act 2024 establishes a regulatory framework for AI, promoting human-centric use while ensuring safety and ethical standards. It categorizes AI risks into four levels and restricts harmful applications. The Act mandates compliance from August 2026, with interim obligations starting February 2025, emphasizing AI literacy among HR professionals to mitigate risks. The legislation aims to foster trust and encourage responsible AI adoption, while requiring significant efforts in education and guidance for effective implementation.

https://www.cipd.org/ie/views-and-insights/thought-leadership/insight/implications-eu-ai-act/

How 100 Enterprise CIOs Are Building and Buying Gen AI in 2025

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TLDR Summary:
In 2025, enterprise AI spending exceeds expectations, becoming a permanent budget item driven by internal and customer-facing use cases. Enterprises increasingly utilize multiple AI models, with OpenAI, Google, and Anthropic leading the market. Procurement processes mirror traditional software buying, emphasizing cost and security. Enterprises are shifting from building to buying AI applications as the ecosystem matures, particularly in software development and customer support. However, concerns around outcome-based pricing persist. Overall, the landscape shows strategic deployment, diversified model use, and a shift towards AI-native applications.

https://a16z.com/ai-enterprise-2025/

EU AI Act Unpacked #25: European Commission Releases Critical AI Act Implementation Guidelines (Part 3)

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European Commission released guidelines on prohibited AI practices under the EU AI Act on February 4, 2024. These non-binding guidelines clarify interpretations and enforcement of Article 5's prohibitions, impacting developers and deployers of AI systems. Key prohibitions include:

  1. Predictive policing: AI cannot predict criminal behavior based on profiling or personality traits.
  2. Untargeted facial image scraping: Prohibits collecting facial data from the internet without targeting specific individuals.
  3. Emotion recognition in workplaces/education: Bans AI systems recognizing emotions in these contexts to prevent discrimination.

Exceptions exist for certain practices, but companies must ensure compliance to navigate the regulatory landscape.

https://www.lexology.com/library/detail.aspx?g=ef05513f-5e88-4614-86b4-659468de7f05

CIO Wants to Clone Top Techies as Digital Twin and AI Agents

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CIO Dr. Vince Kellen at UC San Diego plans to enhance tech staff productivity by creating digital twins and AI agents to automate repetitive tasks. He aims to address funding pressures and security challenges through automation, enabling his team to focus on complex threats. Kellen proposes digitizing expert knowledge to improve AI's network management and reduce IT professionals' after-hours work.

https://www.theregister.com/2025/06/12/cio_wants_to_grow_tech/

Support for AI Act Pause Grows but Parameters Still Unclear

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Support for delaying parts of the EU's AI Act is increasing, following a meeting of member states and the European Commission's tech leaders. They propose a “stop the clock” approach due to impending deadlines and unresolved guidelines. Member states differ on how long to postpone implementations, with calls for up to two years for some components. The AI industry endorses this delay, citing the need for additional time for compliance. However, any amendments would require legislative review, and predictions on outcomes are uncertain, highlighting divisions within the Commission.

https://iapp.org/news/a/support-for-ai-act-pause-grows-but-parameters-still-unclear

The Enterprise Is Not Ready for Vibe Coding — Yet

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Vibe coding, using AI for software development, intrigues businesses but isn’t yet ready for widespread implementation due to security and scalability issues. Experts advocate for cautious adoption, recommending controlled experiments while acknowledging the need for engineers to upskill. By 2028, Gartner predicts that vibe coding will generate 40% of new software, but organizations must ensure rigorous standards to mitigate risks.

https://www.ciodive.com/news/vibe-coding-enterprise-CIO-strategy/750349/

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