The importance of a Research Lab for Small Business Workforce Growth 

By David Stephen, as the news about AI, the stock market, the labor force and the rest of the economy gets multidimensional, one thing that can be done for now is to inject pathways into small businesses, for collective advancement.

This is possible by setting up a small business growth research lab for the labor force. The objective of this lab will be to develop new directions for small businesses as novel economic options in this evolving AI era.

Small businesses are an opportunity to spur the economy and spread new alternatives amid the news on AI, hiring freezes, bubble fears, and much else. This lab will also be a direction of expectation — since some predictions are saying that if the bubble bursts, the economy tanks and if not, and AI succeeds, people lose jobs. This lab would accelerate with a significant head start against any of the likelihoods.

Can Research Labs help Workforce Growth in Small Business

The aim of this lab is to design new architecture for small businesses in different areas, then have it pervade the economy, sending small businesses to mainstream priority, providing a local — and available — possibility for the labor force, to underscore the rest of this decade.

The effort will be microeconomic modeling for small businesses, with novel paths and possibility to have people work fully remote at this lab.

“There is no good that AI can ever do in the world [cure diseases, solve scientific problems, climate change, or others], that would mean beneficial if it substitutes humans from work, with nothing else to do. Already, human society is limited by purpose [school or training and work], limited by economics [demand and supply] and limited by mind [cognition and affect]. And when many face threats, desperation to do whatever ensues.”

The goal is to rejigger small businesses, so that there is a direction that opportunities continue to grow for humans, even as AI takes new shares of the labor force and investments.

Workforce Growth Architecture

LLMs for marketplaces

It is possible to make demand and supply reference points, using local gas stations, such that whatever is around them can be used to prospect what is possible to sell or buy there. This is workable with maps but can be deepened with updated information from personnel around there. LLMs can shape market entry, payment gateway and so forth, nationally and internationally. Broadening the likelihood that demand can be created, for small businesses.

Job Tier

To boost hiring, it is possible to pay below minimum wage for some jobs, if the hours to work can be capped. First, a role can be tiered, where three people are hired for just one role. They would only have to work for 2 hours at a time. Simply, 2 hours work, in 3 intervals within 12 hours, on some days.

This could solve entry-level hiring. It could also help to train, keep people hired, reskill as well as boost efficiency.

Labor Capital

It is possible to provide debt that will be used to pay wages directly. This means that payroll is made directly from lender, without having to go to the business owner or manager. It can be used to spur tier hiring.

Other possibilities include

Possibilities for non-monetary wages, new tasks for needed work that was previously abandoned, libraries AI, spending pegs, business strategy tips and so forth.

Some people are saying speculating if US or China would win the AI race. No, actually, AI wins, human intelligence loses. All tech corporations should explore or have a small business growth research lab to spread opportunity and possibility for the labor market, aside from just universal basic income or uncertainty about what to do, as AI improves and human intelligence seems stagnated. This first of these labs can be setup by November 20, 2025.

There is a new story on CNBC, Nvidia’s Jensen Huang softens his ‘China will win the AI race’ remark to FT, stating that, “Nvidia CEO Jensen Huang reportedly told the Financial Times on Wednesday that “China is going to win the AI race,” only to release a notably softer statement soon after.”

“The prolific tech leader was speaking on the sidelines of the FT’s Future of AI Summit, where he warned that China would beat the U.S. in artificial intelligence thanks to lower energy costs and looser regulations.”

“The comments, which CNBC could not verify independently, would represent Huang’s starkest warning yet that the U.S. is at risk of losing its global lead in advanced AI technologies.”

There is a recent report on Marketplace, Labor market continues to slow, private data shows, stating that “Payroll processing firm ADP put out its monthly employment report Wednesday, which shows private companies added jobs in October, for the first time since July — about 42,000 of them.”

“Meanwhile, data from Indeed showed that as of the end of October, job openings were down to their lowest level since early 2021.”

David Stephen currently does research in conceptual brain science with focus on the electrical and chemical configurators for how they mechanize the human mind with implications for mental health, disorders, neurotechnology, consciousness, learning, artificial intelligence and nurture. He was a visiting scholar in medical entomology at the University of Illinois at Urbana Champaign, IL. He did computer vision research at Rovira i Virgili University, Tarragona.

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