Hello,

This is Simon with the latest edition of The Weekly. In these updates, I share key AI related stories from this week's news, list upcoming events, and share any longer form articles posted on the website.

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I read a LinkedIn post this week from tech founder Elias Torres, who pointed out that he sees many emerging companies offering the same product but adding AI. His main observation was that many of these tools don't offer anything new.

I think Elias is right. Many AI tools today automate existing workflows. Note-taking assistants that transcribe meetings. Presentation generators that create slides from bullet points. Writing copilots that help you draft faster.

While these tools can be helpful, they're only automating an outdated process, and automating it won't fix it.

Take meetings as an example. AI might help you transcribe, summarise, and tag action items. But you still have to send a follow-up. Update the CRM. Schedule the next one.

The process is faster, but it's still flawed.

What if instead of automating the follow-up, we questioned whether the meeting was needed in the first place?

Or consider slide decks. We've got AI tools that can generate beautifully designed presentations in seconds. But what if your audience already had real-time access to everything you would present — and could explore it interactively, whenever it suited them?

To make sense of this, I find it helpful to separate two types of AI use cases:

Most businesses are focused on efficiency AI. It's the low-hanging fruit, but simply making it more efficient risks entrenching the problems we should solve. If a process was bloated, unnecessary, or poorly designed, AI will make it more efficient at failing.

A simple test: if the output still looks like it always has, a slide deck, a PDF summary, or an email thread, then chances are AI hasn't changed much. You're still in the same loop.

But if the output reflects the actual outcome you're seeking, then you've probably broken the mould.

For example:

AI should not be used to make legacy processes less painful; it should help us decide whether those processes still serve their purpose.

Don't use AI to prop up outdated workflows. Use it to reimagine them.

The real opportunity with AI isn't speed, it's vision.

The most impactful work ahead won't come from automating faster. It'll come from asking:

"Why are we doing this at all?"

So, here's your challenge this week:

What's one process in your business that's been broken for years, and now risks being automated into permanence?

Reply and tell me. Let's not settle for faster decks and smarter notes. Let's aim for more intelligent systems and fewer decks entirely.

At the AWS Summit New York, Amazon unveiled AgentCore, a secure framework for building and governing agentic AI on Amazon Bedrock. AWS also launched an AI agent marketplace (featuring solutions from Anthropic, IBM, Brave, and others), plus S3 Vectors, a vector‑native storage service to reduce costs across agentic workloads.

Why this matters: Governance & trust frameworks are emerging as priorities as autonomy increases.

On 1 August 2025, Microsoft and Digital Industry Singapore (DISG) announced the Agentic AI Accelerator, a 12‑month initiative offering up to S$250K in Azure credits and up to S$700K in co‑development services to help 300 Singaporean businesses co‑create practical agentic AI solutions

Why this matters: Public–private partnerships show practical pathways for SMEs to engage with agentic AI.

A ServiceNow report projects that over 10 million jobs in India will be altered by agentic AI by 2030, particularly in IT, telecom, retail, finance and manufacturing, prompting urgent calls for reskilling and public‑private collaboration

Why this matters: Workforce transformation challenges loom large, as highlighted here in India, signalling both risk and opportunity.

Thanks for reading, and see you next Friday.

Simon,

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