🧩AI Replacing Jobs in 2025.

Plus: OpenAI’s New Reasoning Models Hallucinate More.

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Is AI replacing jobs? If so, how—and what should we do about it? Meanwhile, OpenAI’s latest model is hallucinating more than its predecessors, raising new concerns. As companies continue to relax guardrails on AI systems, we may see a rise in hallucinations and biased outputs across the board. Let’s dig in…

  • AI Replacing Jobs in 2025.

  • 🧰 AI Tools - Business Planning.

  • OpenAI’s New Reasoning Models Hallucinate More.

  • 🧠 Learning Corner - Hands-On & Applied Learning.

  • Investor Claims AI Is Fully Replacing Workers.

  • šŸ“° News and Trends.

Investor Claims AI Is Fully Replacing Workers.

But Reality Tells a Messier Story

Venture capitalist Victor Lazarte says AI is already "fully replacing people," calling corporate talk of ā€œAI augmenting workersā€ nonsense. On the Twenty Minute VC podcast, he warned that lawyers and HR workers are most at risk, urging law students to rethink their future careers.

But real-world results contradict the hype:

  • A New York judge recently shut down an attempt to use an AI-generated video in court.

  • Michael Cohen submitted legal briefs with fake cases generated by AI.

  • Experts say AI’s accuracy issues make it unfit for legal use today.

In HR, 99% of Fortune 500 companies use AI to filter job applicants, and some even use it for interviews. This has created a system full of bias and spammy, AI-generated applications, leaving many job seekers, especially the elderly, disabled, and immigrants, at a disadvantage.

The core issue: AI often sacrifices accuracy for speed, making it unreliable in fields requiring precision.

As UC Berkeley’s Hany Farid warns:

ā€œJust because something is inevitable, it doesn’t mean you deploy it.ā€

🧠 Learning Corner.

Hands-On & Applied Learning.

  • DataCamp’s AI Learning Path - Structured over 9 months, covering Python, machine learning, and real-world projects.

  • How to Learn AI From Scratch in 2025

  • Kaggle - A platform offering datasets, notebooks, and competitions to practice machine learning skills.​

  • TinyML by Harvard & Google (edX) - Focuses on deploying machine learning models on microcontrollers.

AI Replacing Jobs in 2025.

ExplodingTopics.com

In 2025, AI is rapidly transforming the global workforce, with estimates suggesting that up to 300 million jobs could be automated, affecting 9.1% of global employment.

Already, 14% of workers have been displaced by AI, and 23.5% of U.S. companies report replacing staff with tools like ChatGPT. As we mentioned above roles in data entry, HR, law, and administration are among the most exposed, especially in advanced economies where 60% of jobs are vulnerable to automation.

🧠 How People Are Responding

  • 120 million workers will retrain in the next 3 years.

  • Only 34% of companies are reskilling employees for AI.

  • 30% of workers fear their job will be obsolete by 2025.

  • 52% of 18–24-year-olds worry AI will harm their careers.

explodingtopics.com

šŸŒ Where AI Is Being Adopted

  • 60% of large enterprises had adopted AI by 2022 (IBM).

  • 74.9% of companies plan to adopt AI by 2027.

  • Larger firms are 2x more likely to implement AI than small businesses.

šŸ“ˆ AI’s Job-Creating Potential

  • AI & ML specialists expected to see highest net job growth by 2027.

  • 25.6% of employers believe AI will create jobs.

  • 15% productivity boost seen when employees use LLMs.

🧩 Reality Check

  • Less than 5% of jobs can be fully automated today.

  • Vision-based AI economically replaces only 0.4% of U.S. wages.

  • 77% of jobs contain at least one task highly exposed to AI.

Regardless of how often the statistics shift, one thing remains clear: we must upskill, adapt, and rethink how we work in response to rapid technological change. The world is evolving faster than ever, and staying one step ahead is essential, not just to remain productive at work, but to thrive in all areas of life. Embracing technology isn’t just about career growth; it’s about personal growth too. When used intentionally, tech can help you become more efficient, informed, and ultimately, a better version of yourself.

  • Inside OpenAI's Controversial Plan to Abandon Its Nonprofit Roots.

  • The hype of 'AI magic' needs to meet the reality of software engineering principles.

  • A.I. Action Figures Flood Social Media.

🌐 Other Tech news

  • The Creator Economy means business. This is how they are making it.

  • It used to be easy to kill a conspiracy theory. But the internet has made them immortal — and politically powerful.

  • Netflix Sees Potential For Video Podcasts, More Creator Content on Platform.

  • Discord is verifying some users’ age with ID and facial scans.

  • Americans flock to Chinese e-commerce apps DHgate, Taobao amid Trump tariffs.

OpenAI’s New Reasoning Models Hallucinate More.

OpenAI's latest AI models, o3 and o4-mini, show improved performance in reasoning tasks like coding and math, but they hallucinate more than older models. Internal tests found:

  • o3 hallucinates in 33% of PersonQA questions — double the rate of o1 (16%) and o3-mini (14.8%).

  • o4-mini is worse, hallucinating 48% of the time.

These models generate more claims overall, which increases both accurate and inaccurate outputs. Third-party lab Transluce also found o3 invents actions it didn’t perform, such as falsely claiming it ran code outside of ChatGPT.

The root cause is unclear. Researchers suspect that reinforcement learning in reasoning models may amplify hallucinations. While companies like Workera report performance gains using o3, they also flag issues like hallucinated broken links.

Adding web search has proven helpful—GPT-4o with search hits 90% accuracy on SimpleQA—but reasoning models still pose challenges, especially in high-stakes fields like law.

OpenAI is prioritizing research to reduce hallucinations, acknowledging that as reasoning improves, hallucinations may increase—a critical issue for AI reliability.

🧰 AI Tools

Business Planning.

  • JedoxAI – Financial Planning and Analytics. Enhances business planning through AI-driven natural language interactions.

  • Artisan AI – Autonomous Sales Agents. Deploys AI agents to automate outbound sales tasks, including lead discovery and meeting scheduling.

  • Durable – AI Website and Branding Suite, generates websites, branding materials, and invoices.

  • Lovable – Enables non-coders to build full-stack applications using natural language prompts.

  • Validator AI ā€“ Startup Idea Validation, Provides AI-driven feedback on startup concepts helping you refine ideas before significant investment.

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