AI isn’t ending retail jobs—it’s transforming them. Workers can shift into AI-assisted roles in customer service, inventory intelligence, omni-operations, and automation. With the right upskilling, AI becomes a career ladder, not a threat.

AI is already transforming AEC work. From AI-enhanced BIM to digital twins for MILCON + Civil Works, new jobs are emerging across design, construction, and field ops. The $50B construction-tech boom shows it’s real. The question isn’t “if”—it’s “who leads next?”

AI is transforming the labor market, generating real jobs in industries such as healthcare, finance, and education. Roles like machine learning engineers and AI trainers are emerging, indicating a substantial, evidence-based trend rather than mere speculation.

What if we could harness the power of AI not as a tool for layoffs, but as a catalyst for job creation? How can we leverage artificial intelligence to boost employment opportunities and build a brighter future for the workforce?

What is the tipping point at which AI takes jobs? Eventually, there may not be enough consumers with money to purchase the products and services offered by companies and manufacturers.

A ChatGPT query: ~0.3 Wh ≈ 0.003 apples.

One H100/day: 16.8 kWh ≈ 152 apples.

Training GPT-3: 1,287 MWh ≈ 11.7 M apples.

Human brain/day: 0.48 kWh ≈ 4–5 apples.

On your favorite AI, upload this image and prompt: Analyze this image.

Then analyze it against the OBBBA. What's the AI response?

Why isn’t the media discussing the OMB's A76 study? One of its goals is to improve the efficiency of the federal government. Unlike DOGE, A76 studies report to Congress. We should urge the current administration to adopt established methods for reducing the federal workforce.
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