The EU is a Trailblazer, and the AI Act Proves It

B. Valle

Summary Bullets:

• On August 2, 2025, the second stage of the EU AI Act came into force, including obligations for general purpose models.

• The AI Act first came into force in February 2025, with the first set of applications built into law; the legislation follows a staggered approach with the last wave expected for August 2, 2027.

August 2025 has been marked by the enforcement of a new set of rules as part of the AI Act, the world’s first comprehensive AI legislation, which is being implemented in gradual stages. Like GDPR was for data privacy in the 2010s, the AI Act will be the global blueprint for governance of the transformative technology of AI, for decades to come. Recent news of the latest case of legal action, this time against OpenAI, by the parents of 16-year-old Adam Raine, who ended his life after months of intensive use of ChatGPT, has thrown into stark relief the potential for harm and the need to regulate the technology.

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IBM Think on Tour Singapore 2025: An Agentic Enterprise Comes Down to Tech, Infrastructure, Orchestration, and Optionality

D. Kehoe

Summary Bullets:

• Cloud will have a role in the AI journey, bit no longer the destination. The world will be hybrid, and multi-vendor.

• Agentic AI manifests from this new platform but will be double-edged sword. Autonomy is proportionate to risk. Any solution that goes to production needs governance.

The AI triathlon is underway. A year ago the race was about the size of the GenAI large language model (LLM). Today, it is the number AI agents connecting to internal systems to automate workflows, moving to the overall level of preparedness for the agentic enterprise. The latter seems about giving much higher levels of autonomy to AI agents to set own goals, self-learn and make decisions, possibly manage other agents from other vendors, that impact customers (e.g., approving home loans, dispute resolution, etc.). This, in turn, influences NPS, C-SAT, customer advocacy, compliance, and countless other metrics. It also raises many other legitimate legal, ethical, and regulatory concerns.

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The Price is Right – Or is It?

G. Willsky

Summary Bullets:

• While rivals are aligned in stuffing their platforms full of GenAI features, they diverge when it comes to pricing those features.

• There is no easy answer as to whether GenAI features should cost extra — and not necessarily a right or wrong one.

When GenAI first arrived on team collaboration platforms, widespread fear was generated that hard-earned skills – and the employees that cultivated them – would be displaced. Those fears are softening as GenAI increasingly earns recognition as a tool that makes workers more productive. Mundane and time-absorbing tasks (such as generating meeting recaps, composing emails, and scheduling meetings) are outsourced to GenAI, allowing workers to focus on high-priority activities and increase their value to their organizations. Productivity enhancements have been delivered largely through a proliferation of virtual assistants involving every major competitor (e.g., Microsoft Copilot, Cisco AI Assistant in Webex Suite, and Zoom AI Companion).

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