1/ The “long humans” thesis has a missing piece: chronic health. If AI is going to augment humans, we need to understand the humans it is augmenting. And most humans are not operating at 100%. 2/ According to @CDCgov data, ~76% of US adults report at least one chronic condition. That is more than 194 million people. Roughly 3 in 4 adults. It is the baseline operating condition of the economy. 3/ A lot of AI productivity tooling assumes a worker with: stable energy stable mood stable cognition good sleep no chronic pain no caregiving demands no major health constraints That worker is not most people. 4/ Actual humans are often managing some combination of: depression anxiety ADHD chronic pain endometriosis PMDD adenomyosis autoimmune disease poor sleep metabolic dysfunction caregiving brain fog fluctuating capacity 5/ Better workflow tools are useful. But if someone is in pain, sleep-deprived, depressed, hormonally dysregulated, cognitively foggy, anxious, or exhausted from caregiving, tooling is not the whole bottleneck. Often the constraint is biological. 6/ This is why chronic health is not a healthcare side quest. It is economic infrastructure. If people are too sick, exhausted, inflamed, unsupported, or in pain to participate fully in education, training, work, care, or creativity, human capital becomes a health problem. 7/ AI productivity software is easier to build and fund than chronic health. The loops are faster. The products are easier to ship. The margins are cleaner. The regulatory pathways are lighter. The customers are often easier to sell to. 8/ Chronic health is the opposite. Messy. Multifactorial. Regulated. Clinically complex. Emotionally loaded. Full of patients who have often been dismissed for years. But that is exactly why the opportunity matters. 9/ If 3 in 4 US adults live with at least one chronic condition, chronic health is one of the largest constraints on human potential. Less sexy than frontier AI tooling? Yes. More economically central than people admit? Also yes. 10/ The next wave of human-first technology needs to design around biological variability: fluctuating energy fluctuating cognition symptom cycles caregiving loads mental health pain sleep recovery Not the fantasy of 100% daily output. 11/ That means: AI tools designed around variable capacity. Medical devices that meet people outside clinics. Clinical trials that reflect real populations. Women’s health products that are not rebranded wellness. Pain management that is not an afterthought. 12/ My biased view after 10 years working across mental health, chronic health, and women’s health: the long-term AI economy only works if we invest just as seriously in the health of the humans expected to use it. Maybe more seriously. 13/ So yes, be long humans. But if you are long humans, you should be long chronic health. Full piece: x.com/radytee/status/2066684…