Why the Anti-AI Crowd Is Wrong (and What They Get Right)
Is AI really going to take every job, steal every artist's work, make us dumber, and burn the planet? We take the five biggest anti-AI arguments seriously, one by one, check them against the evidence, and then look honestly at what the critics get right.
In 1839, a famous painter supposedly declared painting dead after seeing a photograph. He was wrong. Socrates warned that writing would ruin memory. He was wrong too.
This video argues that today's blanket anti-AI position repeats the same mistake. It uses real data: jobs and automation history, Bloom's 2-sigma tutoring research, the World Bank's AI tutor pilot in Nigeria, AlphaFold, AI-assisted cancer screening, and the International Energy Agency's figures on data-center electricity use.
It also gives fair time to the real concerns: deepfakes and scams, biased data, concentrated power, artist consent, and job disruption. Each of those is an argument for better AI, not for pretending the technology doesn't exist.
a 15% investment return means something very different when your expenses are in another currency.
people sometimes track the asset perfectly and completely ignore the unit theyβre measuring it in.
currency risk can quietly erase a good investment thesis.
leverage is weird because it makes good decisions look brilliant and bad decisions look catastrophic.
the underlying investment might only move 10%, but debt can turn that into something much larger in either direction.
leverage doesnβt create skill. it amplifies whatever was already there.
a surprisingly useful finance habit:
whenever someone gives you a price, quote, investment case or forecast, ask βcompared to what?β
a number by itself tells you almost nothing.
most of the interesting information is in the variance between alternatives, assumptions and scenarios. thats usually where the real decision is hiding.
earnings can be massaged. cash is harder to argue with.
if a business keeps reporting strong profit but free cash flow stays weak year after year, thats usually worth investigating.
eventually the numbers have to meet somewhere.
the best bidding software shouldnβt make you spend more time feeding the software than analyzing the bid.
thats what i like about BidVariance.
the whole point is to get from messy supplier offers to an actual commercial comparison quickly, without turning procurement into data entry.
high profit doesnβt impress me much without knowing how much capital was required to produce it.
making $10m from $20m of capital is a very different business from making $10m from $500m.
return on capital usually tells you more than the absolute profit number.
Most recipe apps start with what you want to cook.
My Royal Chef starts with what you actually have.
Two eggs, half a lemon, leftover rice? Give it that and see what happens.
25-second demo β