|
Bloomberg
JPMorgan's Vice Chairman Daniel Pinto cautioned that many AI-linked stocks might be over-valued and could face a correction as expectations collide with the realities of monetisation. The warning forces a re-examination of the "growth-at-all-cost" narrative in the AI industry. Strategic Insight
For investors and AI adopters alike, this signals the importance of due diligence and realistic ROI projections rather than speculative bets on AI transformation. |
|
The Guardian
Sundar Pichai stated in an interview that AI models remain prone to error and should be used alongside other tools — he also warned no company is immune if the AI bubble bursts. The remarks underline how even major AI-players recognise the risk of over-reliance on today's systems. Strategic Insight
Business leaders should ensure AI outputs are validated through established processes and maintain human oversight for critical decisions. |
|
NY Post
An app called 2wai allows users to create avatars of dead relatives from a few minutes of video and converse with them via AI; critics condemned it as "vile" and dystopian. The story highlights urgent ethical questions in generative-AI personalisation and digital-legacy tech. Strategic Insight
This case demonstrates how AI applications that cross ethical boundaries face immediate public backlash — organisations must establish clear ethical guidelines for AI use cases involving personal data and sensitive contexts. |
|
The Guardian
The 2026 Ockham Book Awards ruled two books ineligible because their cover designs employed AI tools, under new guidelines. The case emphasises how AI use in creative industries is now subject to scrutiny and regulatory/taxonomy risk. Local Opportunity
New Zealand organisations adopting AI for creative work should establish transparent disclosure policies to avoid reputational and compliance issues as standards evolve. |
|
Business Wire
A new report reveals that while two-thirds of US health-systems have multi-person governance committees, more than 75% rely on just two or fewer full-time staff for oversight — and AI project requests out-pace governance decisions nearly 3:2. The gap suggests deployment risks are growing even as AI adoption increases. Strategic Insight
This data underscores the need for dedicated AI governance resources before scaling deployment — reactive governance creates compliance and safety risks. |