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This Week’s Top Five Stories in AI

AI Magazine takes a look at some of the top stories from the past few days, featuring the likes of Deloitte, Apple, Bumble, Mastercard and NVIDIA

Deloitte: Why Business Agility is Central to AI Adoption

AI is reshaping how organisations compete, and business leaders are responding by placing agility at the heart of their strategies.

In fact, according to Deloitte’s annual Global Human Capital Trends Report, seven in 10 executives say their competitive approach over the next three years centres on adapting quickly and staying nimble as AI investments accelerate across sectors.

The report, which surveyed more than 9,000 business and human resources (HR) leaders across 89 countries and multiple industries, reveals that leaders view two factors as most critical to success: accelerating the rate at which their workforce can perform and increasing their organisation’s capacity to adapt to shifting market demands.

As AI technologies evolve at pace, the research suggests that cultivating this agility requires workforce redesigns that support human-AI collaboration alongside learning and development initiatives that enhance AI literacy across the organisation.

Apple CEO Tim Cook | Credit: Apple

How Apple’s US$600bn US Investment Helps AI Infrastructure

Apple’s US manufacturing expansion signals a significant shift in its tech production strategy. 

The company announced a US$100bn investment in the US, including the American Manufacturing Program, as it plans wider investment in the US totalling US$600bn over the next four years. 

The investment comes as US President Donald Trump singled out Apple in 2025, threatening to raise tariffs on its products if it did not move iPhone manufacturing to the US, according to the BBC.

The expansion includes key operations in Houston and Kentucky.

Apple also began producing advanced AI servers in Houston for the first time, with these servers being deployed in Apple data centres across the US.

Whitney Wolfe Herd, Founder and CEO of Bumble

Could Bumble’s Bee AI End ‘Swiping Fatigue’ on Dating Apps?

A 2025 survey by Forbes revealed that 78% of singletons were experiencing “burnout” with dating apps. In recent years, this has translated to lulls in users across the big apps.

In an effort to keep people engaged, many services have started to incorporate new technologies into their apps.

Bumble is the latest to do so. The company has officially launched an AI-powered assistant that can act as an “AI wingman” and matchmaker.

The dating platform’s Bee AI agent is also set to drive user growth in a pilot programme that could start a seismic shift in online dating as revenue dips and Gen Z’s disinterest in swipes continues.

Small businesses will see executive level intelligence from Mastercard’s agentic Virtual C-Suite

Meet Mastercard’s Virtual CFO, a C-Suite AI Agent for SMEs

Mastercard is positioning itself at the forefront of AI-driven business management with the launch of its Virtual C-Suite for small and medium enterprises (SMEs), an evolution of its Agentic Suite designed to empower executives behind the scenes.

Building on decades of expertise in payments, data, security and leadership, the new Virtual C-Suite demonstrates Mastercard’s growing ambition to become a leading authority in AI applications for the commerce ecosystem.

Recent initiatives, such as facilitating agentic payments with Santander, speak to this pivot in strategy.

The Virtual C-Suite reflects Mastercard’s holistic approach to “full commerce lifecycle” management, extending from understanding money flows to predicting risk and recommending actionable strategies.

Jensen Huang, CEO at NVIDIA (Credit: NVIDIA)

AI Big Bang: NVIDIA CEO Forecasts US$1tn in Revenue by 2027

Tech visionary Jensen Huang took the stage at NVIDIA GTC this week to showcase the future of the ‘token king’. 

From the first computer designed for deep learning, NVIDIA is now the global standard for AI Inference at Scale, powering almost all leading endpoints. 

In the future, Jensen believes that every single company is going to think about token factory effectiveness, which will make or break their revenue.  

At the last GTC, after NVIDIA accrued US$500bn in orders for NVIDIA Blackwell, Jensen forecasts an even brighter future saying he expects at least that number to touch US$1tn by 2027. 

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