Is AI Really Going to Change Everything? Let's Find Out.
Browse articles on algorithmic bias in AI hiring and workplace tools, for workers and career planners, with varied, regularly updated perspectives to explore.
Safe Superintelligence: Can AI Be Built to Stay Under Human Control? Safe superintelligence refers to building AI that surpasses human intelligence without losing human control. The core challenge is alignment — ensuring AI systems pursue goals that match human values. No lab has solved alignment, and Anthropic’s head of alignment research estimates a 10%+ risk … Read more
Artificial Superintelligence: What People Fear Most and What the Evidence Says The most common fear about artificial superintelligence is loss of human control — that AI could eventually surpass human intelligence, act against human interests, or spiral beyond our ability to govern it. A 2026 survey found 78% of Americans believe advanced AI could destroy … Read more
AI Anxiety Disorder: Symptoms, Evidence & Treatment (2026) AI anxiety is not a formal psychiatric diagnosis but a recognized stress response to AI’s rapid societal integration. A meta-analysis found perceived existential threat is its strongest predictor. 74% of Americans report AI-related worry. Treatment includes psychoeducation, cognitive-behavioral strategies, AI literacy education, and restoring human connections. Quick … Read more
AI Data Privacy Concerns: What the Evidence Shows in 2026 The biggest AI data privacy concern is that AI systems collect and use personal information without meaningful consent. Pew Research found 71% of Americans believe AI will make their personal information less secure. Malwarebytes found 90% worry about AI using their data without consent. Foundation … Read more
Jobs Safe From AI in 2026: Evidence-Based Guide to AI-Resistant Careers About 30% of jobs face almost zero risk of AI elimination, according to Anthropic’s 2026 labor market report. The safest roles share three traits: physical work, in-person service, and real-world manipulation. Anthropic’s specific examples include cooks, motorcycle mechanics, lifeguards, bartenders, dishwashers, and dressing room … Read more
AI Job Loss Predictions: What the Data Actually Shows in 2026 AI job loss predictions vary widely. Goldman Sachs estimates 15 million U.S. workers (9% of the workforce) could be displaced over the next decade. McKinsey projects 11 million workers will need to change occupations by 2035. Pew Research found 55% of adults in high-income … Read more
The Real Dangers of AI: What the Evidence Says in 2026 The most common fear about AI is job displacement, with a median of 55% of adults in high-income countries expecting AI to reduce jobs in the next 20 years. Deepfakes, privacy loss, and algorithmic bias are evidence-based near-term harms. Existential risk remains debated among … Read more
AI IQ Tests: Can Artificial Intelligence Actually “Think”? AI models can score higher than nearly all humans on IQ tests, but IQ scores do not prove AI can think. IQ tests measure pattern recognition, not consciousness, understanding, or common sense. AI excels at finding patterns in data—including test questions—without possessing the kind of flexible, self-aware … Read more
AGI Explained: What Happens When AI Matches Human Intelligence Artificial General Intelligence (AGI) refers to AI systems that can learn and perform any intellectual task a human can, across all domains. It does not exist yet. Expert timelines range from 2026 to 2040, but there is no scientific consensus. The biggest concerns are job displacement, … Read more
Why Millions Fear AI Job Loss — And What to Do About It The most common fear about AI is job displacement — that machines will make human workers obsolete. Surveys show 36% of workers globally worry AI could replace their jobs, and 89% fear AI job loss generally, even if they don’t expect it … Read more