“A lot of investors have no clue what they are investing in.”
– Hock Tan, CEO Broadcom
Off-Balance-Sheet Alchemy
Where is the AI boom going? Is it taking us to a place of economic and financial nirvana? Or are we on the road to catastrophe?
These are the type of important, fundamental questions the rapid AI buildout can provoke. The answers, however, can only be known after the fact.
In the meantime, what is known is that building, training, and deploying AI models requires physical infrastructure at a massive scale. Hyperscale data center campuses spanning thousands of acres, massive power interconnection agreements capable of pulling gigawatts from local electrical grids, and colossal amounts of specialized silicon chips like Nvidia’s high-performance graphics processing units (GPUs) and custom tensor processing units (TPUs).
To compete in this high-stakes arms race, technology companies and AI labs are rapidly burning through insane amounts of cash. Analysts estimate that global capital expenditures tied to AI infrastructure could reach several trillion dollars before the decade is out. Continue reading








