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CAIO Connect Community empowering Chief AI Officers👨‍💼 worldwide🌎. Discover insights, news,📰 & discussions to shape your AI journey.

10/15/2026

AI depends on human labour, but the people behind that work are increasingly vulnerable.

In Kenya’s Kakuma refugee camp, refugees take on digital tasks that help power the tech industry, often without clear or guaranteed earnings. Meanwhile, the International Trade Centre reports that jobs such as translation, data entry, and transcription have declined by around 50% since 2022.

As AI reshapes digital work, who bears the cost of cheaper technology?

Full breakdown on CAIO Connect on Substack-
https://caioconnect1.substack.com/p/the-hidden-human-cost-of-artificial?r=7y8lk8&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

🤖 What sets the CAIO 100 apart? 100 Chief AI Officers. One documented benchmark of leadership, impact, ex*****on, and re...
10/14/2026

🤖 What sets the CAIO 100 apart?

100 Chief AI Officers. One documented benchmark of leadership, impact, ex*****on, and responsible AI governance. 🌍
Spanning 10 sectors and 5 regions, the CAIO 100 recognises leaders turning AI from ambition into operational reality.

📊 Built on a data-driven evaluation of leadership, influence, impact, and responsible AI practices. The 2026 CAIO 100 list is coming soon.
🔗 Discover more: caioconnect.org

CAIO Connect | A Knowledge Networks Initiative

Guest Voices Speak | Shashank KadetotadWhat does it take to turn enterprise AI ambition into sustained business value?Sh...
10/13/2026

Guest Voices Speak | Shashank Kadetotad

What does it take to turn enterprise AI ambition into sustained business value?

Shashank Kadetotad, Global Senior Director of Enterprise Data Science & AI at Mars, shares his experience as a guest on the CAIO Podcast, highlighting the importance of leadership, governance, trust, and organizational change in making AI work at scale.

We appreciate Shashank’s thoughtful contribution and his perspective on building a more responsible and impactful future for AI.

Listen to more insights on the CAIO Podcast.
https://youtu.be/_J4UaDZeWno

10/12/2026

How do we evaluate AI agents before deploying them in enterprise environments?

On the CAIO Connect Podcast, Sanjay Puri, Founder & President of Knowledge Networks Group, speaks with Jamie Campbell, Head of AI & Data, Canada, at Manulife, about evaluating AI systems, establishing risk thresholds, and implementing robust assessment frameworks.

From privacy considerations to measuring real-world outcomes, effective AI evaluation is essential to ensuring systems meet enterprise requirements and operate responsibly.

Watch Now- https://youtu.be/yr2BMfg51uI

10/12/2026

How do we ensure AI agents act responsibly when they interact with enterprise systems?

On the CAIO Connect Podcast, Sanjay Puri, Founder & President of Knowledge Networks Group, speaks with Jamie Campbell, Head of AI & Data, Canada, at Manulife, about AI agents, tool use, and the importance of monitoring agent behavior within enterprise platforms.
As organizations deploy AI agents, understanding how they make decisions and interact with systems becomes essential to building trust and accountability.

Watch this episode of the CAIO Connect Podcast for insights into enterprise AI.

09/30/2026

The leaders of OpenAI and Anthropic have called for stronger global oversight of AI, arguing that decisions with worldwide consequences should not rest with a handful of companies. France and the UK support shared rules, while the United States opposes placing AI under a global governing body. As the US and China compete to advance AI, the debate over safety, accountability, and who sets the rules continues.

Full breakdown on CAIO Connect on Substack- https://caioconnect1.substack.com/p/the-people-building-ai-just-asked?r=7y8lk8&utm_campaign=post&utm_medium=web

09/24/2026

🤖 The AI race isn’t just about building bigger models. It’s about building and running them more efficiently.

Atul Rai, Co-founder & CEO of Star Technologies, shares his perspective on one of the biggest challenges in AI today: the economics of computational power. ⚙️
As AI moves from experimentation to large-scale deployment, computational costs, efficiency and optimization are becoming increasingly important to the business equation. 📈

The next phase of AI may come down to a simple question:
How efficiently can we build and run intelligence?
🎯 What matters more in the AI race: bigger models or better optimization?

Share your perspective in the comments.

Watch Now- https://youtu.be/bMboN2ZL7gE?si=_qjZ7f_0oBMudFQC

09/21/2026

What does effective AI governance look like beyond policies and paperwork?

On the CAIO Connect Podcast, host Sanjay Puri sits down with Blake Brannon, Chief Product & Strategy Officer at OneTrust, to explore how organisations can move from simply defining AI governance policies to actually putting them into practice.

The conversation looks at operational controls, responsible AI, and why governance needs to evolve alongside the rapid adoption of AI.

🎙️ Tune in to the conversation and hear Blake’s perspective on building AI governance that works in the real world.

Watch Now- https://youtu.be/3_AO9xcboW0

09/18/2026

AI needs enormous amounts of electricity—and that demand is beginning to shape decisions far beyond the tech industry.

Google’s reported interest in securing long-term nuclear power in Finland raises a bigger question: who decides how limited energy resources are allocated when AI companies become major consumers?

As data centers compete for power, governments face a new challenge: balancing AI infrastructure growth with the needs of households, businesses, and the wider energy system.

Full breakdown on CAIO Connect on substack- https://caioconnect1.substack.com/p/when-ai-eats-the-power-grid-why-every?r=7y8lk8&utm_campaign=post&utm_medium=web

09/16/2026

AI is moving fast—but organisations still face a fundamental challenge: how do you know whether AI is actually improving work or simply producing more output?

In this CAIO Connect Podcast conversation, Sanjay Puri is joined by Andrew McAfee, Principal Research Scientist, to explore the growing gap between AI-generated output and genuine productivity. The conversation looks at why leaders often lack visibility into how employees are actually using AI—and why that makes it harder to distinguish meaningful work from “work slop.”

Drawing an analogy to the earliest years of aviation, McAfee explains why AI may be at a similar inflection point: the technology is advancing rapidly, but organisations still need to learn how to use these new capabilities effectively and recognise when the world has fundamentally changed.

Watch Full Episode Now- https://youtu.be/di0HsIU_aBg

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