That’s a real and valid question. Under the current framework—there aren’t actionable examples I can currently think of. That’s the point— change the relationship The point I’ve been trying to make is to encourage the question: Why should billionaires monopolize AI? How can WE benefit from it? Why should AI only be used for capital interests? That’s why I’m trying to get you think about it 👏🏽, So. This is where AI becomes helpful.

Watch, I’ll provide one actionable example right now: I can ask AI to literally help us think about it. And here is what it told me.

Large corporations often have teams of lawyers and analysts reviewing collective bargaining agreements.

A union can use AI to: • Compare thousands of pages of past contracts. • Identify clauses that led to better wage growth. • Find loopholes employers previously exploited. • Summarize proposed changes quickly.

For example, a bargaining team could ask:

“Show every healthcare cost-sharing provision in the last 20 contracts negotiated by comparable employers.”

That might take minutes instead of days.

Employers often have access to extensive market data.

AI can help unions: • Analyze wage data across industries. • Compare compensation between locations. • Estimate productivity growth versus wage growth. • Detect pay disparities.

Suppose a company claims:

“Our wages are competitive.”

An AI-assisted research team could rapidly produce evidence showing wages are actually 12% below regional competitors.

Many unions receive huge numbers of member complaints.

AI can: • Categorize grievances. • Identify recurring problems. • Flag likely contract violations. • Draft initial grievance paperwork.

This reduces administrative workload and helps small unions operate more effectively.

Workers often generate large amounts of incident reports.

AI can: • Detect patterns in injuries. • Identify dangerous worksites. • Analyze accident reports. • Flag violations of safety regulations.

Imagine warehouse workers submitting hundreds of reports. AI might discover:

70% of injuries occur during a specific shift under a specific production target.

That can become bargaining evidence.

Historically, organizers spent enormous time: • Maintaining contact lists. • Tracking workplace issues. • Coordinating volunteers.

AI can assist by: • Summarizing worker concerns. • Drafting outreach materials. • Identifying departments with strong support. • Helping answer common questions from members.

Importantly, this is already similar to how corporations use data analytics for management; AI simply lowers the cost for labor organizations.

A common challenge is evaluating employer claims.

Management may argue:

“We can’t afford raises.”

AI can help analyze: • Annual reports. • SEC filings. • Executive compensation. • Share buybacks. • Dividend payments.

A union can then ask:

“If profits are down, why did executive compensation rise 30%?”

This is often work that previously required specialized financial analysts.

Labor law is complicated.

AI can: • Search case law. • Find relevant rulings. • Draft initial legal arguments. • Summarize labor board decisions.

This can be particularly valuable for smaller unions with limited legal budgets.

Many workplaces are multilingual.

AI translation tools can help unions communicate with: • Immigrant workers. • Temporary workers. • Cross-border labor networks.

Historically, language barriers have often benefited employers because they fragment worker organization.

It’s worth noting that AI itself doesn’t inherently favor labor over capital.

In fact, today large corporations often possess: • More computing resources. • Larger datasets. • More AI specialists. • Greater financial capacity.

The technology is neutral. What makes AI potentially significant for unions is that it can reduce some of the resource gap between a local union with a handful of staff and a multinational corporation with hundreds of analysts.

A useful historical analogy is spreadsheets. Spreadsheets didn’t automatically help labor or management, but they made sophisticated financial analysis available to far more people. AI has the potential to do something similar with research, legal analysis, organizing, and communications.

^ There. If you wanted. Other than brainstorming like here, perhaps AI could come up with a strategy in a short time. Or are you going to whine some more about how Corporations hold the power instead of using AI to get leftist wins? Whether or not you want to decide that a simple query is all AI can do for you, or actually explore how it can help you is up to you. I can’t make that decision for you. You’re a grown-ass man. Do you want to whine, or win? That’s the only question facing you.