Fordel StudiosWhy You Should Wait Out AI’s Super-Spending False Start
What Happened
Merryn Somerset Webb sits down with Janusz Marecki, CEO and founder of Fractal Brain and AI partner at Ahren Innovation Capital, for an insider perspective on artificial intelligence hype versus reality and what may come next. The focus is on large language models (LLMs) and whether they are hitting
Fordel's Take
It's a massive, expensive false start. Everyone's throwing cash at LLMs because the PR is good, but the actual ROI is shaky, especially when you look at the infrastructure costs. We're spending billions on training models that just regurgitate patterns, and the market rewards that delusion.
The hype cycle is just momentum. We're seeing massive overspending that doesn't lead to scalable, enterprise-grade solutions yet. It's a distraction from solving real engineering problems.
What To Do
Wait. Don't rush into the next massive expenditure until we see demonstrable, cost-effective, and reliably deployed enterprise applications that actually change how business operates.
Builder's Brief
What Skeptics Say
Advising builders to wait out the capex cycle assumes infrastructure winners haven't already locked in distribution advantages; companies that pause now may find the window for competitive positioning has closed before the ROI debate resolves.
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