Strategic Foresight - Insights in Business and Technology

From Four to Six Pillars: The Evolution of the Australian Telecom Industry  The Rise of Aussie Broadband:  The Australian telecommunications landscape has witnessed a significant transformation in recent years, shifting from a traditional four-pillar model dominated by Telstra, Optus, TPG, and the NBN, to a six-pillar model that now includes Vocus and Aussie Broadband. This evolution has been driven by a confluence of factors, including regulatory changes, evolving consumer demands, technological advancements, and strategic diversification. A "pillar" refers to any telecommunications operator with a revenue of $1Bn or more. A New Era of Competition Aussie Broadband, with its rapid growth and strategic acquisitions, has emerged as a key player in this evolving market. With revenue at ~$1Bn, the company is poised to solidify its position as the sixth pillar of the Australian telecommunications industry. (PE TTM - 35.7, PB - 1.7)  Key Factors Driving the Transition Regulat

 Nvidia's Post-Earnings Boost: A Breakdown Nvidia's upcoming earnings call on August 28th is highly anticipated due to several key factors that position the company for a potential share price surge. Key Factors Driving Nvidia's Potential Post-Earnings Boost Inventory Disparity: Nvidia's low inventory levels compared to AMD's bloated stock suggest strong demand and efficient production. This indicates a healthier financial position and potential for higher revenue. The contrast between the two chip giants highlights Nvidia's superior supply chain management and ability to capitalize on market demand. Dominant Pricing Power: Nvidia's H100 GPUs command a significantly higher price than AMD's competing MI300X, demonstrating exceptional pricing power. This pricing advantage translates into higher revenue per unit and improved profit margins, contributing to overall financial strength. LLM-Driven Demand Acceleration: The burgeoning LLM marke

Gen AI The New Reality - How Key Players Are Progressing About the Book  In the rapidly evolving realm of Generative AI, this book delves into the intricacies of this transformative technology, exploring its history, potential, and key players. It unravels the value chain, deployment models, and future trajectory of Large Language Models (LLMs) while shedding light on the growth opportunities in this domain. Embark on a journey through the world of chipmakers, where TSMC reigns supreme, pioneering the most advanced chips, yet facing its unique challenges. Discover the driving forces behind Nvidia's dominance as the "Godfather of AI" and analyse the potential for a dot-com bubble resurgence. Venture into the realm of Hyperscalers, where Microsoft stands as the undisputed king of AI in the cloud and software. Explore its strategic partnerships, the economics of training AI systems, and the inherent risks associated with its growth. Delve into the world of Google, the sear

The Future of Software is New SaaS - powered by Services, AI Agents, Sharing This POV is available for download below.

First, what I wrote about ABB's FY23 Results last year.     Update on ABB's Business  ABB's Acquisition Spree - Ongoing Tussle and Drivers Behind it.  My other post on NBN and its Economics

Australia Telecom Industry in Transition - From Four Pillar to Six Pillar Model  Australia Telecom Industry - Fixed Services  Australia Telecom Industry - Fixed Internet Ranking   Australia Telecom Industry - Mobile Services  Australia Telecom Industry - Mobile Internet Ranking   My previous post on the Global Telecom Industry Evolution to date.

 Generative AI - Where is The Growth?  The current state of the Gen AI industry shows that big tech companies, especially hyper scalers, dominate the scene. They are the primary drivers of innovation and growth, focused on achieving long-term sustainability by shifting their focus from selling computing to selling generic and specialised model services with higher margins.  This has led to increased interest from venture capitalists, resulting in numerous startups focused on selling model-based services and integrating with existing apps and services. The low barriers to entry make it easy for startups to grow in the short term, but sustainability is challenging without a unique proposition. Many startups will likely fail, with some being acquired by larger companies.  Software providers such as Salesforce, Oracle, and Workday are also integrating AI services, either by building or purchasing specialised services to defend and survive the industry changes. Future of Language Models Lar