AI Token Wars, Oracle's AI Spending Boom, and Why Markets May Not Be Done Falling

Markets have finally started pulling back after months of relentless gains, but is this correction only just beginning?

Puru Saxena, founder of AlphaTarget and growth investor, is joined by AlphaTarget's analyst team to discuss the recent turbulence in equity markets, why the firm raised cash and hedged its portfolio ahead of the sell-off, and why the team believes a deeper correction may still lie ahead. With the Federal Reserve meeting approaching, the panel examines how monetary policy, investor sentiment, seasonality, and overstretched valuations could shape market performance over the coming weeks.

The discussion then turns to one of the most important developments in artificial intelligence: the rapidly falling cost of AI inference. Anirban Mahanti, PhD in Computer Science and former Director of Research and Portfolio Manager at Motley Fool Australia, explores why companies are increasingly shifting workloads away from expensive frontier models and towards cheaper open-source alternatives. The team debates whether AI models are becoming commoditised, how orchestration may become the next competitive battleground, and what declining token prices could mean for the broader AI ecosystem.

Damia, former analyst at Citibank and investment banking professional, breaks down Oracle's latest earnings results, including accelerating cloud infrastructure growth, surging AI-related demand, and the company's enormous capital expenditure plans. The discussion examines whether investors should be worried about rising debt levels and negative free cash flow, or whether Oracle is positioning itself for a much larger opportunity ahead.

The panel also revisits one of the most controversial areas of the AI investment boom: memory and semiconductor stocks. The team explains why seemingly cheap valuations in cyclical industries can often be a warning sign rather than an opportunity, and why investors should pay close attention to slowing growth rates, earnings expectations, and historical market cycles.

Finally, Irnest Kaplan, CFA Charterholder, former Societe Generale analyst and AlphaTarget Senior Analyst, discusses emerging evidence that enterprises may be reducing spending on expensive AI models. The team reviews new industry data, explores the rise of low-cost competitors from China, and analyses recent comments from Palo Alto Networks CEO Nikesh Arora on the future of AI, cybersecurity, enterprise software and data infrastructure.

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