The economic promise of artificial intelligence depends not only on expanding computing power, but on how effectively its gains spread into the wider economy. Didier frames growth as the interaction of energy, information and network effects, arguing that AI’s impact will ultimately be determined by the productivity it delivers beyond the data center. Even a modest transfer of AI-generated knowledge into the traditional economy could materially raise global productivity, although the adjustment in employment may prove disruptive.
Currencies have long resisted traditional economic models, yet one simple pattern has proved remarkably persistent: short-term momentum. Didier revisits a systematic strategy first introduced in 2022, showing that it has continued to outperform while extending naturally beyond fiat currencies to gold and oil. The result is a straightforward quantitative framework that offers a fresh perspective on trading money in all its forms.