Zack Kass

"If value comes out of... software in particular, it's gonna go somewhere else... My bet for the last four years has been bio and life sciences... molecular particle material, construction, and anything building in the real world, hospitality, entertainment." This is Second-Order Thinking. As the cost of intelligence (software/analysis) drops to near zero, the sectors that were previously limited by high R&D or coordination costs (Biotech, Construction, Materials) become the primary beneficiaries. The value lost by SaaS flows into "Atoms" (physical world) rather than "Bits." LONG. Rotate exposure from pure software into physical industries and novel sciences. Regulatory hurdles in bio/construction or a general recession slowing down physical economy spending.

"If value comes out of... software in particular, it's gonna go somewhere else... My bet for the last four years has been bio and life sciences... molecular particle material, construction, and anything building in the real world, hospitality, entertainment." This is Second-Order Thinking. As the cost of intelligence (software/analysis) drops to near zero, the sectors that were previously limited by high R&D or coordination costs (Biotech, Construction, Materials) become the primary beneficiaries. The value lost by SaaS flows into "Atoms" (physical world) rather than "Bits." LONG. Rotate exposure from pure software into physical industries and novel sciences. Regulatory hurdles in bio/construction or a general recession slowing down physical economy spending.

Kass argues that if value is extracted from the S&P 500 (specifically software), it must go somewhere else. AI reduces the cost of creating software, which is deflationary for the Tech sector but inflationary for sectors that rely on physical/biological reality. Capital will rotate into "Novel Sciences" (Biotech), "Building the Real World" (Construction), and "Human Connection" (Hospitality). Long Biotech / Construction / Hospitality as the counter-cyclical trade to AI software deflation. High interest rates hurting capital-intensive sectors like construction and biotech.

Interviewer notes trucking/logistics companies have "really benefited from AI and machine learning." Kass agrees, noting AI creates value in the real world. Logistics is a low-margin, high-coordination physical industry. It fits Kass's thesis of "Real World" sectors benefiting from efficiency gains provided by AI, unlike pure software companies which are threatened by it. LONG. Transportation and logistics are prime beneficiaries of algorithmic efficiency. Rising fuel costs or economic slowdown reducing freight volume.

"The market certainly is excited and continues to be excited about what Jensen is saying and what NVIDIA is doing for good reason... we're still in the beginning of realizing how much value we could create... with unmetered intelligence." Despite fears of a bubble, the fundamental demand for the "utility" of intelligence is just starting. NVIDIA provides the "power plant" infrastructure for this new utility. The trend is secular, not cyclical. LONG. The infrastructure build-out phase is not over. Hyperscaler capex cuts or geopolitical restrictions on chip exports.

"If value comes out of... software in particular, it's gonna go somewhere else... My bet for the last four years has been bio and life sciences... molecular particle material, construction, and anything building in the real world, hospitality, entertainment." This is Second-Order Thinking. As the cost of intelligence (software/analysis) drops to near zero, the sectors that were previously limited by high R&D or coordination costs (Biotech, Construction, Materials) become the primary beneficiaries. The value lost by SaaS flows into "Atoms" (physical world) rather than "Bits." LONG. Rotate exposure from pure software into physical industries and novel sciences. Regulatory hurdles in bio/construction or a general recession slowing down physical economy spending.

"If value comes out of... software in particular, it's gonna go somewhere else... My bet for the last four years has been bio and life sciences... molecular particle material, construction, and anything building in the real world, hospitality, entertainment." This is Second-Order Thinking. As the cost of intelligence (software/analysis) drops to near zero, the sectors that were previously limited by high R&D or coordination costs (Biotech, Construction, Materials) become the primary beneficiaries. The value lost by SaaS flows into "Atoms" (physical world) rather than "Bits." LONG. Rotate exposure from pure software into physical industries and novel sciences. Regulatory hurdles in bio/construction or a general recession slowing down physical economy spending.

Interviewer notes trucking/logistics companies have "really benefited from AI and machine learning." Kass agrees, noting AI creates value in the real world. Logistics is a low-margin, high-coordination physical industry. It fits Kass's thesis of "Real World" sectors benefiting from efficiency gains provided by AI, unlike pure software companies which are threatened by it. LONG. Transportation and logistics are prime beneficiaries of algorithmic efficiency. Rising fuel costs or economic slowdown reducing freight volume.