Gustavo’s Corner: AI News for CFOs - #19
AI investment is entering a more disciplined phase, but demand continues to accelerate. This edition of Gustavo’s Corner highlights how infrastructure constraints are strengthening chipmakers’ pricing power, while OpenAI, Anthropic, and Meta push AI toward greater efficiency, autonomy, reasoning, and competition. The central question is no longer whether companies will invest in AI, but how quickly they can turn that investment into measurable business value.
AI executives: AI demand shows no sign of slowing, even as the market increasingly shifts its focus toward measurable value. Companies are becoming more cautious about how much they invest in AI, but demand remains exceptionally strong. Former Intel CEO Pat Gelsinger told CNBC that AI demand is “almost unlimited,” while Marc Boroditsky, CRO of AI infrastructure company Nebius, reinforced the point, saying there is “much more demand than we’re able to fill.”
OpenAI: OpenAI released the GPT-5.6 family on July 9, replacing the traditional single-model launch with three distinct tiers: the flagship Sol, the balanced Terra, and the faster, lower-cost Luna. API pricing ranges from $5/$30 per million input and output tokens for the premium tier to $1/$6 for the most affordable option. The launch also introduces ChatGPT Work, an agent designed to complete entire tasks, while Codex has been integrated into a redesigned desktop application with a built-in browser. Sol ranks just behind Claude Fable 5 in independent intelligence tests while operating at roughly half of the cost, making OpenAI’s message less about outright leadership and more about delivering near-leading performance at a significantly lower price.
Samsung: Samsung guided to a record quarterly operating profit of approximately 89.4 trillion won, or about $58 billion. That figure exceeds the latest quarterly operating profits reported by both Nvidia, at nearly $54 billion, and Apple, at around $36 billion. Strong AI data-center demand has tightened memory supply and driven HBM and DRAM prices sharply higher. Samsung’s profit growth was not primarily the result of selling significantly more chips; it came from a major increase in pricing power. Investors remained cautious, however. Samsung shares closed nearly 7% lower, as the market had already anticipated a historic quarter and is now questioning how long the AI-driven memory boom can sustain prices at these levels.
Anthropic: Anthropic has revealed that Claude appears to use an internal mental workspace when solving complex problems. New research found that Claude often processes concepts without explicitly writing them into its chain of thought, similar to how a person might think about one subject while carrying out another task. This internal mechanism, known as a J-space, emerged unintentionally during training and now appears to support Claude’s more advanced reasoning capabilities.
Meta: Meta claims its next flagship AI model has caught up with GPT-5.5. Alexandr Wang, the company’s chief superintelligence officer, has reportedly said that the model, codenamed “Watermelon,” has matched OpenAI’s GPT-5.5 across key benchmarks. Wang also indicated that an update to Muse Spark is expected soon, with improvements in coding performance designed to narrow the gap with Anthropic’s Claude Opus. Meta is backing these ambitions with significant investment, allocating up to $145 billion to AI infrastructure this year.
Why this news is important to CFOs and their teams: these developments show that AI is becoming both a major capital-allocation priority and an increasingly practical business tool. Finance leaders must connect AI spending to measurable returns, compare the cost and performance of competing models, prepare for volatility in infrastructure and computing costs, and strengthen governance as AI systems become more autonomous. The opportunity remains significant, but long-term value will depend on balancing innovation with financial discipline, risk management, and clear accountability.
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/Gustavo
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