Faster Processing Speeds for Human Reasoning

May 29, 2024 | Finconomics 101, No Bull Economics

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They say AI will run the world and solve (control) all our problems. Nvidia’s market cap is $2.6 trillion (even though it’s located in Taiwan which is on the verge of being invaded) and Sam Altman’s Open AI is trying to raise $7 trillion in new funding. All the while some managers in the real-world economy can barely leverage 40-year-old technology like Microsoft Excel (Lotus 1-2-3 before that) in their operations to implement obvious efficiencies…

Humans Need An Operating System to Upgrade

While Artificial Intelligence (AI) suggests that human intelligence has become outdated, the challenge is to train & equip humans to improve their own efficiency & decision-making skills. The solution to this problem is not for human programmers to create larger databases to store every variable in life and faster processing chips to sort, organize, forecast, & execute on these data sets. Human-created systems can’t replace humans…

In many cases, operators in the real world could improve workforce productivity by offering simple training in the mastery & application of rudimentary tech tools. While AI may have current military & industrial automation applications, it is likely 5 generations ahead of real-world human operators that could benefit from small, incremental efficiency improvements as outlined below.     

2 Case Studies That Don’t Require an AI Fix

1. A recent college grad went to work for a successful manufacturer of industrial pumps. It is a small business, and the grad has an entry-level finance job. The new employee, who barely works a few hours per day, saw that his boss was using Excel to manually add a 13% price increase to all the customers, cell by cell. Fortunately, the college grad knew how to create a formula (=*.13), and proceeded to drag the formula down a column, thus saving the manager hours of time. The recent grad was hailed a genius…

    2. A high school student working in a local Chick-fil-A notes that the back of the house can never seem to keep up with demand spikes for its chicken sandwiches. The workers are often heard calling out “Hey, do we have any more chicken sandwiches?” as the drive-thru line backs up. The staff is very concerned about creating too many sandwiches that will end up in the garbage. The high school kid thinks to himself, “How hard would it be to use some tech to instruct the staff how many sandwiches to prepare based upon the time of day? I could create a spreadsheet that would track how many chicken sandwich orders per hour over a few weeks & we could use this to help eliminate the bottleneck.”

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