Another Crazy Day in AI: How Businesses Can Save Early Careers and Why They Should
- Wowza Team
- Jan 19
- 4 min read
Hello, AI Enthusiasts.
Here's another crazy day in AI:
Stopping workforce erosion and why it's urgent
Why OpenAI is focused on self empowerment
What’s driving the buzz around Claude Code
Some AI tools to try out
🎧 Listen to a quick breakdown of today’s stories.
TODAY'S FEATURED ITEM: Preventing a Lost Generation of Workers
Image Credit: Wowza (created with Ideogram)
What happens to early careers when the ground beneath them keeps changing?
Lisa Stevens, Chief Administrative Officer at Aon Corporation, recently wrote for the World Economic Forum about the pressures facing early-career professionals at a time when workplaces are being rapidly reconfigured. Many young workers are entering the job market after years marked by disrupted education, limited in-person learning, and fewer opportunities to build confidence through hands-on experience. At the same time, organizations are reassessing how work is structured, with entry-level roles often under the most scrutiny. Stevens outlines why this moment matters for employers as much as it does for individuals.
What the article brings into focus
Unemployment among workers aged 22–27 remains higher than the overall workforce, highlighting ongoing challenges at the start of many careers
Entry-level roles are frequently targeted for automation, even though they play a critical role in learning and professional growth
When early-career pathways weaken, long-term talent pipelines and leadership development are often affected
Limited guidance and support can contribute to lower trust in workplace technologies among younger workers
Separating routine tasks from developmental work allows organizations to preserve learning while improving efficiency
Human skills such as analytical thinking, ethical reasoning, collaboration, and accountability continue to matter in evolving workplaces
Entry-level positions have always done double duty. Yes, they fill immediate organizational needs, but they also serve as the place where people figure out how professional life actually works. How do you handle a mistake? What does it mean to collaborate under pressure? When should you ask for help? A lot of this gets learned through repetition and proximity—watching more experienced colleagues, trying things yourself, getting feedback in real time. When these roles get automated or eliminated, that learning has to happen somewhere else. Some organizations will figure out effective alternatives. Others might not realize what's missing until they need someone ready for bigger responsibilities and discover the pipeline isn't as deep as they expected.
The generation entering the workforce now is dealing with something previous generations didn't face in quite the same way. Many had their college years moved online, their internships cancelled, their first jobs started from home. The informal education that used to happen just by being in an office—picking up on how decisions get made, seeing how conflicts get resolved, understanding workplace dynamics—a lot of that simply didn't occur. Now these same workers are looking for positions in a market where the roles that might have provided some of those experiences are being fundamentally rethought. The decisions organizations make about automation, role design, and talent development will play out over years. These choices will affect not just individual careers but the depth and readiness of entire workforces. How deliberately those decisions get made, and whether they account for what comes after the immediate efficiency improvements, remains an open question worth watching.
Read the full article here.
OTHER INTERESTING AI HIGHLIGHTS:
Why OpenAI Is Focused on Self Empowerment
/OpenAI
OpenAI outlines how AI’s real promise lies not just in advancing capability, but in helping more people actually benefit from it. The piece introduces the idea of a “capability overhang,” the growing gap between what AI can do and how much value individuals, businesses, and countries are capturing from it. By focusing on access, accurate information, and self-empowerment, OpenAI argues that everyday users—not just power users—can unlock meaningful productivity and economic opportunity. The message is clear: AI’s impact depends on how widely and thoughtfully it’s explored.
Read more here.
What’s Driving the Buzz Around Claude Code
/Joe Weisenthal and Tracy Alloway, Hosts, on Bloomberg Podcasts (Odd Lots)
Claude Code has quickly become the latest obsession in AI-assisted software development, and this episode unpacks why. Odd Lots Podcast Hosts Joe Weisenthal and Tracy Alloway explore how Claude Code differs from earlier coding tools by acting as a true “pair programmer,” capable of managing files, running commands, and maintaining long-term context. With insights from AI veteran Noah Brier, the discussion connects these technical shifts to bigger questions about productivity, engineering roles, and the future of software companies. The episode captures why many see AI coding tools as more than just a convenience—and potentially disruptive to the entire industry.
Check it out here.
SOME AI TOOLS TO TRY OUT:
Signal87 – Turn documents into a connected, self-improving knowledge system.
Listen Labs – AI-powered platform for fast, automated customer research.
Scroll.ai – Create accurate, enterprise-grade AI experts from your knowledge base.
That’s a wrap on today’s Almost Daily craziness.
Catch us almost every day—almost! 😉
EXCITING NEWS:
The Another Crazy Day in AI newsletter is on LinkedIn!!!
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