WPP CEO Cindy Rose argues for a more active future.

WPP CEO Cindy Rose argues for a more active future.

WPP CEO Cindy Rose argues for a more active future.

WPP is staring at a hard truth: as their new CEO, Cindy Rose, put it, their recent performance has been “unacceptable.”

WPP might still be a global media and advertising monolith, but increasingly it seems like its empire-state is crumbling from within.

Let’s start with the numbers. Q3 saw a like-for-like revenue decline of 5.9 % year-on-year. For 2025, they’re forecasting a full-year decline of 5.5%-6 %. Those are not the figures you plaster on a “turnaround underway” banner.

They’re red flags.

Rose is trying to shift the culture and structure: “less holdco, more co” is her mantra. Translation: WPP wants to stop acting like a giant parent company that collects agencies and start acting like a single lean operator. Clients reportedly found WPP’s end-to-end proposition confusing. That’s costly feedback for a “world-class” agency group.

And yet, here’s the twist: while the fundamentals are dire, WPP bets heavily on the future by leaning into AI and data-driven services. Rose highlights that WPP’s acquisition of InfoSum, the launch of its “Open Pro” self-serve AI platform, and a substantial partnership with Google LLC are meant to set them up for the next wave. But, and this is the crux, the question isn’t whether they say the right things. It’s whether they can do them, when execution has been, well, lacking (Rose admitted as much).

So what gives? The advertising world is changing fast: client budgets are tightening (thanks to macro risks and tariff spats) and tech is giving marketers more DIY tools. WPP is both under pressure and perhaps late to pivot. With major client exits and fierce competition (especially from nimble players) on one side, and an ambitious strategy pivot on the other, the firm is walking a tightrope.

Here’s how I’d frame your thesis: WPP isn’t just in financial trouble but a structural conundrum. It’s not enough to proclaim “AI golden age” when the clients are rattled, the message is muddy, and the operational guts haven’t kept pace.

The actual shift will come when WPP becomes the “Co,” it says, rather than the “holdco” it’s been.

And only then will those strategic bets pay off.

The Next Direction for AI: Canva Launches the First-Ever Design-Centered AI Model

The Next Direction for AI: Canva Launches the First-Ever Design-Centered AI Model

The Next Direction for AI: Canva Launches the First-Ever Design-Centered AI Model

Canva’s all-in-one marketing tools powered by AI could be the one-stop solution for marketers to design and launch their paid ads.

The mix of AI and creativity was a significant topic of discussion a few moments ago. The whirlwind that accompanied this modern tech might have slowed down a bit.

But the innovations, in the form of newer models, are in full throttle. AI is seeping into the creative industries. It’s already leaving a significant mark on how creativity is approached, especially in content development, editing, and also its distribution.

Marketing has been one of the most vitally impacted industries.

AI has become a strategic problem-solver for marketing. And honestly, a capability enhancer. Canva is the latest big name climbing onto the AI adoption ladder. But it’s no small feat.

The graphic design company is transforming the face of design in this age of AI, where creativity and critical thinking are thought of as two siloed components. It has introduced an innovative digital marketing and video-editing tool built into the “world’s first ‘design-focused’ AI model.”

What are the changes?

The changes are minute. Canva has revamped its video editor so it doesn’t require any additional experience, added a template library, and simplified the timeline for video footage editing.

These new launches are a small, but vital, part of what it calls the “Creative Operating System,” developed specifically for marketing teams. But make no mistake, it’s not an OS in the traditional sense.

It’s instead a collective term for Canva’s broader AI-powered interface comprising all task-specific tools. “It’s a true system of operations,” according to Cameron Adams, Canva’s co-founder.

The overall point is to establish this whole ecosystem as a set of operations: How creative workflows and processes actually run, instead of a single layer of application.

And the AI that powers it?

It’s been trained expertly to grasp the complexity of design. And Canva is doubling down on AI’s capabilities to power how designing is actually done. It’s embedded deeply in the platform.

With this, Canva has pivoted from being a simple web graphic design platform. The leaps it’s making could posit it as the poster child of AI-powered creative designing.

Kickstarting a much-needed tech revolution across creative industries.

IREN's Shares Surge After Announcing $9.7 Billion Microsoft Deal

IREN’s Shares Surge After Announcing $9.7 Billion Microsoft Deal

IREN’s Shares Surge After Announcing $9.7 Billion Microsoft Deal

IREN is setting the pace as the Microsoft deal could propel its position as a leading AI cloud service provider. Given that the Australian company is successful in expanding its planned GPU deployments.

Microsoft is IREN, the Australian AI cloud provider’s biggest customer yet.

It’s known in the market that the tech powerhouse wants to accelerate its innovative roadmap, especially to build more intuitive, faster, and responsive AI models. It’s all part of the game- which company will really come out on top?

Competition across AI is sturdy, and honestly, without the right resources, it is impenetrable. It’s why the tech giants (America’s Big Seven) are scrambling to-and-fro for infrastructure that truly powers their AI models.

How will they drive the AI roadmap without the right fuel? That is the conundrum they’re facing right now. Billions are invested in data centers and such deals. And if looked at closely, there’s no stopping.

It’s the AI boom. Think of CoreWeave, Oracle Cloud, and NVIDIA with multiple partnerships and deals up their sleeves. IREN is just the newcomer.

This $9.7 billion agreement is a multi-year one, spanning 5 years with a 20% prepayment clause. Now imagine Microsoft’s urgency. At least that’s what can be grasped from such deals.

IREN will open the tech powerhouse’s access to NVIDIA’s GB300 GPUs, which it plans to purchase from Dell Technologies for over $5.8 billion. It plans to deploy these GPUs across 2026 at its 750MW facility located in Childress, Texas, while also building new liquid-cooled data centers that support 200MW worth of critical IT load.

This will materialize in four different phases.

To fund all of these endeavors, IREN plans to use its existing cash flow, existing cash, and customer prepayments for additional financial initiatives.

This alliance is not merely positioning IREN as a credible and trusted AI cloud service provider. It’s also opening its doors to new customer segments and global hyperscalers.

This is the turn of the needle. The market is changing rapidly. As a result of the announcement, IREN’s stocks in pre-trading hours on Monday surged 20%.

“We’re proud to announce this milestone partnership with Microsoft, highlighting the strength and scalability of our vertically integrated AI Cloud platform,” said IREN’s co-founder and co-CEO, Daniel Roberts, in response.

Musk's xAI Introduces Grokipedia, Wikipedia's Counterpart.

Musk’s xAI Introduces Grokipedia, Wikipedia’s Counterpart.

Musk’s xAI Introduces Grokipedia, Wikipedia’s Counterpart.

xAI just launched Grokipedia, and it’s raising questions nobody’s comfortable answering. What happens when AI becomes the arbiter of knowledge?

xAI just dropped Grokipedia.

It’s their answer to Wikipedia. An encyclopedia powered by Grok that promises real-time, unbiased information on any topic. Sounds useful, right?

But here’s what nobody’s saying out loud.

You’re not just changing how we get information when you replace human editors with algorithms. You’re changing who truly decides what’s true and what’s not, controlling a chunk of information flow.

Wikipedia works because people fight over it.

Wikipedia isn’t perfect. It’s messy. Sometimes outdated. Definitely has biases.

But those flaws come from a transparent process. Editors debate sources. They challenge claims. They leave revision histories that anyone can check.

It’s a consensus through argument. And that argument, annoying as it is, halts bad information from spreading unchecked.

Grokipedia doesn’t have that.

It has Grok making instant calls about what’s credible and what’s not. You don’t see the reasoning. You don’t witness what got filtered out. You observe the answer, delivered with absolute confidence.

That’s not eliminating bias. That’s hiding it.

The real problem isn’t wrong information. It’s unchallenged information.

With Wikipedia, you can trace questionable content. Check the citations. Read the talk page. See who made the edit and why.

With Grokipedia, you’re trusting xAI’s training data and whatever guardrails they built into Grok. If those systems reflect biases from their training, or worse, commercial interests, you won’t know until it’s too late.

There’s no paper trail. No debate. Just output.

Speed versus verification.

That’s the trade-off here.

Grokipedia bets that faster information matters more than verifiable information. And if users choose speed, we’re heading toward a world where knowledge isn’t debated upon and criticized anymore.

It’s just generated.

The question worth asking: Do you want answers that come fast, or answers you can actually verify?

Because those might not be the same thing anymore.

Qualcomm Unveils New AI Chips to Rival AMD and NVIDIA

Qualcomm Unveils New AI Chips to Rival AMD and NVIDIA

Qualcomm Unveils New AI Chips to Rival AMD and NVIDIA

Qualcomm is the latest entrant in the AI chip manufacturing race. Could it gradually become a potential household name?

Qualcomm is introducing new AI accelerator chips in a bid to rival NVIDIA, the long-standing semiconductor industry forerunner. And its stocks soared 11% after this announcement. Maybe because it was unexpected.

It’s not quite a simple feat for Qualcomm. Until now, the company has been focusing on semiconductors for mobile and wireless connectivity.

Data centers were nowhere in view. But Qualcomm is now diving in. Specifically, to keep pace with its rivals, NVIDIA and AMD. These market share dominators have already dipped their toes into the most happening innovation in the market right now- AI. They knew how to make a bang for their bucks.

Qualcomm is late to the game since these two have made their strides.

But Qualcomm is ambitious.

The agenda is to launch two different chips- AI200 and AI250 in 2026 and 2027. These chips leverage the AI segments from its smartphone chips, known as the Hexagon NPUs.

These data center chips will focus on inference, or running the AI models instead of training them. And this is precisely how AI giants such as OpenAI develop new capabilities, i.e., by processing data.

Qualcomm will also offer its customers the opportunity to mix and match. It’ll sell parts and the AI chips separately, especially for those who are comfortable designing their own racks.

Qualcomm isn’t focused on short-term gains. It is confident.

The semiconductor powerhouse’s AI cards hold more memory (786 gigabytes) than NVIDIA and AMD. And it is already far ahead of the two in terms of ownership cost, power consumption, and memory management.

So, what it’s actually planning to do is upgrade its own capabilities and then gradually go up to the data center levels. Their priority for now is leveling themselves up in other domains centered on AI.

And not take a leap of faith from the get-go.

Every tech-centered business realizes the demand for anything directly related to AI server farms. NVIDIA has been dominating. But Qualcomm’s entry marks new competition in one of the fastest-growing markets.

This detailed focus on a long-term vision is commendable. And has so far managed to redirect Qualcomm’s mission.

Could Qualcomm end up becoming the better alternative to NVIDIA’s chips? Only time will tell.

Arsen Launches Smishing Simulation to Help Companies Defend Against Mobile Phishing Threats

Arsen Launches Smishing Simulation to Help Companies Defend Against Mobile Phishing Threats

Arsen Launches Smishing Simulation to Help Companies Defend Against Mobile Phishing Threats

AI-based scams are a plague on our society. A tool that empowers malicious actors to trick unsuspecting and innocent bystanders- Arsen is here to end that.

Arsen has been quietly building one of the best phishing simulation software. Just go to their website and try one for yourself. It’s fun when you’re not being targeted by a malicious actor.

But what about those that are? Many fall prey to scams. And they have become so sophisticated that identifying them has become complex. It’s not just older people falling for scams. It’s your employees and loved ones.

Voice scams, SMS scams, Video scams, and Email scams are abundant, and hyper-personalization has made them difficult to track.

Is it your mom on the other end?

Or is it Alex from IT who has detected malicious activity and needs remote access?

Arsen has built a simulation software built for phone-based threats that trains organizations and employees to tackle this problem in real-time. They simulate the real danger of every possible AI attack.

Arsen, to become more comprehensive, has also realized Smishing simulations, focused on simulating SMS attacks, one of the most common social engineering tactics.

As the organization puts it: –

Smishing (phishing attacks delivered via text messages) is rapidly becoming one of the most common social engineering tactics, targeting users on both professional and personal devices. Arsen’s Smishing Simulation allows organizations to:

  1. Deploy SMS-based attacks at scale using pre-built or customized scenarios
  2. Track behavior and response rates across different employee groups
  3. Train users in a controlled, safe, and realistic environment

“We’re happy to give our clients the opportunity to know what their attack surface looks like on the mobile side. This pairs very well with our recent vishing developments,” said Thomas Le Coz, CEO at Arsen.

The Dark Side of AI

AI, with its potential to do good, is vast in its potential to harm. And magnify it.

The intensity of this should not be lost on anyone. Scammers will benefit from AI.

People are gullible, and training is necessary for them to grow and be aware of the myriad of scams they can be subjected to. Arsen, in this case, is on the right path.

One that may become the most important one pretty soon.