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Blog Posts
Leading AI Coding Academies Emphasizing Inclusion and Access
The tech industry has a well-documented access problem. Black, Latino, and Native American workers make up a small fraction of the engineering workforce. Yet they represent large portions of the US population. According to UN Women (February 2026), women hold just 30% of AI professional roles globally and only 16% of AI research positions. First-generation college students, career changers, and people from low-income households face real barriers. Cost, credential requirement
Best AI Workforce Upskilling Companies
AI is reshaping how engineering teams work. But most companies are not keeping up. BCG's 2026 Build for the Future x AI Global Study found that only about 5% of organizations have managed to reap substantial financial gains from AI. The biggest reason? Workforce readiness, not technology, is the missing piece. BCG found that roughly 70% of AI value comes from the people component, not the tools or algorithms. (Source: BCG, "AI Transformation Is a Workforce Transformation," 20
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Amazon Layoffs Devastate Thousands, But It’s Not The Endgame For Workers
In late January, Amazon officially confirmed its second round of employee layoffs totaling more than 16,000 positions . As part of a larger wave that follows earlier cuts made last year, this moment again represents much more than just an economic shutdown. Beyond that, it signals a major shift in how work is organized in the AI era. For many employees, this news likely does not come at a shock. Automation is taking over at historic speed, and the workforce has never been as
Inno roundup: CodeBoxx's latest partnership with $1B+ valued California adtech company
Tampa Bay's tech and innovation news for the week of Jan. 30, including a St. Pete software company's latest partnership with a major West Coast player. Reference: https://www.bizjournals.com/tampabay/news/2026/02/04/inno-newsletter-codeboxx.html
Why AI Jobs Are Open and Talent Is Still Missing
As artificial intelligence becomes a core part of modern software, many companies are running into a growing problem. They cannot find enough developers who know how to work with AI effectively. While interest in AI-powered products is rising quickly, the workforce needed to build, deploy, and maintain these systems is not growing at the same pace. At first glance, this appears to be a familiar tech hiring challenge. Demand is high, supply is low, and competition is fierce. B
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