Peter Howitt

Howitt notes that while industrial concentration suppresses some innovation, the current AI boom requires massive capital expenditure and "flexible financial systems" to tolerate losses. He highlights that "Googles and Microsofts" are the ones "going at it" alongside new entrants they often back (OpenAI/Anthropic). In a "Superstar Market," the most productive firms with the deepest capital moats capture the majority of the value. AI is a capital-intensive game where incumbents with massive R&D budgets can endure the "fumbling around" phase of technology adoption that bankrupts smaller players. Long the "Superstar" incumbents who are effectively privatizing the infrastructure of the AI economy. Regulatory breakup (Howitt explicitly mentions antitrust needs to reorient toward preventing innovation suppression) or a "Schiller PE" valuation reset.

Howitt highlights that as manufacturing jobs disappear (even in China), labor moves to services. He explicitly identifies "elderly care" as a sector with "tremendous potential" due to aging populations in North America, Europe, and China. This is a "Second-Order" AI trade. AI will handle menial data entry (as seen in the Gates/Rwanda example), making human care workers more efficient. The demand is demographic (inevitable), and the supply constraint (labor) is eased by AI productivity tools, improving margins for care facility operators. Long Senior Living (BKD) and Hospital operators (HCA) as beneficiaries of demographic tailwinds + AI efficiency. Government reimbursement rate changes or labor shortages outpacing AI productivity gains.

Howitt notes that while industrial concentration suppresses some innovation, the current AI boom requires massive capital expenditure and "flexible financial systems" to tolerate losses. He highlights that "Googles and Microsofts" are the ones "going at it" alongside new entrants they often back (OpenAI/Anthropic). In a "Superstar Market," the most productive firms with the deepest capital moats capture the majority of the value. AI is a capital-intensive game where incumbents with massive R&D budgets can endure the "fumbling around" phase of technology adoption that bankrupts smaller players. Long the "Superstar" incumbents who are effectively privatizing the infrastructure of the AI economy. Regulatory breakup (Howitt explicitly mentions antitrust needs to reorient toward preventing innovation suppression) or a "Schiller PE" valuation reset.

Howitt highlights that as manufacturing jobs disappear (even in China), labor moves to services. He explicitly identifies "elderly care" as a sector with "tremendous potential" due to aging populations in North America, Europe, and China. This is a "Second-Order" AI trade. AI will handle menial data entry (as seen in the Gates/Rwanda example), making human care workers more efficient. The demand is demographic (inevitable), and the supply constraint (labor) is eased by AI productivity tools, improving margins for care facility operators. Long Senior Living (BKD) and Hospital operators (HCA) as beneficiaries of demographic tailwinds + AI efficiency. Government reimbursement rate changes or labor shortages outpacing AI productivity gains.

Howitt notes that while industrial concentration suppresses some innovation, the current AI boom requires massive capital expenditure and "flexible financial systems" to tolerate losses. He highlights that "Googles and Microsofts" are the ones "going at it" alongside new entrants they often back (OpenAI/Anthropic). In a "Superstar Market," the most productive firms with the deepest capital moats capture the majority of the value. AI is a capital-intensive game where incumbents with massive R&D budgets can endure the "fumbling around" phase of technology adoption that bankrupts smaller players. Long the "Superstar" incumbents who are effectively privatizing the infrastructure of the AI economy. Regulatory breakup (Howitt explicitly mentions antitrust needs to reorient toward preventing innovation suppression) or a "Schiller PE" valuation reset.