Share your thoughts with us - A government report packed with fake citations made headlines, but the real story sits beneath the scandal: most AI “hallucinations” start with us. We walk through the hidden mechanics of failure—biased prompts, messy context, and vague questions—and show how simple workflow changes turn wobbly models into reliable partners. Rather than blame the tech, we explain how to frame analysis without forcing conclusions, how to version and prioritize knowledge so r...

Share your thoughts with us You use ChatGPT for emails and summaries, but the results are average, and it still hallucinates. So how are others saving thousands of hours and running entire operations with AI agents? The secret isn't in using AI—it's in building with it. Right now, 98% of professionals are stuck as "AI users." In this episode, Luis Salazar reveals the simple path to join the 2% who are "AI makers." This leap is no longer a "nice-to-have" skill; it's rapidly becoming the new st...

Share your thoughts with us Is AI just for simple tasks, or can it run a real part of your business? We answer that question with the real-world case study of Agent Ada. In just six weeks, we built an AI assistant that went from sending daily briefs to drafting official policy, saving a non-technical team 3,000 hours of work. This episode is a practical blueprint for the future, where conversations replace clicks. But it's also an honest look at the cost of that productivity—the displacemen...

Share your thoughts with us We explore how AI is fundamentally changing the desktop computing experience after 30 years, with conversations replacing keyboard and mouse interactions as the primary interface for work. Traditional productivity apps such as Office, Google Workspaces, and other non-native AI apps are becoming background tools while conversational AI becomes the center of work.Tracking shows a double-digit decline in productivity app usage among super users.Most enterprises are ...

Share your thoughts with us Gen Z faces contradictory expectations as they navigate AI adoption, being discouraged from using AI in educational settings while expected to be proficient in workplace environments. Our new research with 7,000 young adults reveals this "split-screen reality" where 70% of Gen Z actively use AI despite institutional resistance, creating a problematic skills gap and shadow usage patterns. 7 in 10 Gen Z are active AI users. Students use AI in three mai...

Share your thoughts with us - The paradox puzzling executives everywhere: ChatGPT has nearly a billion users, 60% of workers use AI daily, yet a viral MIT report claims 95% of enterprise AI fails. What's really happening? Unpacking this contradiction reveals something fascinating. The headlines chosen by the media to discuss the report are misleading... learn why. Our global tracker across 8,000 enterprises tells a different story - while top-down AI strategies struggle with 70%+ failu...

Share your thoughts with us Picture this: Two workers. Same 67 minutes saved with AI. One rests. One reinvests. Only one works for the company that will win in the AI era. 🚀 In big enterprises, saved time often goes to rest and risk reduction. In SMBs, it’s fuel for growth. The real question? What did you do with it? Fortune 500 workers often use AI-saved time for breaks, while startups reinvest it into business growth.Large enterprises struggle to see AI ROI despite massive time savings (20...

Share your thoughts with us Managing AI agents presents complex challenges as these tools shift from personal productivity enhancers to shared team resources. The scale of AI adoption is massive, with nearly 80% of organizations using AI and 41% of US workers using it five or more days weekly, yielding significant productivity gains like teachers saving six weeks annually. AI adoption follows a pattern: individual usage leads to sharing, creating an accidental service provider situation.Mos...

Share your thoughts with us We explore the paradox of AI implementation, where most enterprises see no impact from massive investments while ChatGPT reaches 800 million weekly active users. The grassroots approach to AI adoption is proving dramatically more successful than top-down corporate initiatives. Why most enterprises see zero bottom-line impact from AI investments.Grassroots approach delivers 4x better results than top-down approaches.Co-management practices emerge naturally, challe...

Share your thoughts with us Despite headlines about AI regulations and risks, the average user experience hasn't changed, creating a trust crisis as most people remain AI beginners, unable to identify misinformation. We've discovered that implementing confidence transparency—showing how sure AI is about its answers and why—transforms user engagement and trust, yet less than 1% of AI tools currently display these metrics. AI regulations aren't effectively addressing user trust, with 90% of p...

Share your thoughts with us While 75% of enterprises use AI in core operations, fewer than 20% have proper management protocols, costing companies millions in lost opportunity and inefficiency. We expose why the "deploy-and-forget" approach to AI is leadership malpractice and share frameworks for managing AI systems effectively. Managing AI requires treating it like a team member, not just a toolThe Seattle Mariners' briefing story demonstrates how AI needs guidance and feedbackDifferent ty...

Share your thoughts with us AI4SP insights from 100,000 global assessments show that 70% of people can't identify misinformation, while entry-level jobs face 25-35% automation. The real crisis? We're unprepared to evaluate the AI systems reshaping our world. Over 100,000 people across 70 countries completed AI4SP's Digital Skills Compass assessmentOnly one in three people can reliably identify AI-generated false informationSubject matter experts missed false claims in their field almo...

Share your thoughts with us The AI revolution is happening not in Silicon Valley but in unexpected places like roofing contractors, physical therapists, and local service businesses worldwide. Service businesses implementing AI are seeing 20-30% operational cost reductions while creating 15-20% net job growth by reinvesting savings into market expansion. Service industries uniquely positioned for AI transformation due to conversational nature, limited past innovation, and potential for know...

Share your thoughts with us The traditional hiring process is evolving from evaluating individual candidates to acquiring human-AI production units. Companies now view candidates as mini-mergers and acquisitions opportunities, valuing those who bring AI agents as part of their professional portfolio. Organizations are specifically seeking candidates with AI agent experience, treating these hires as strategic acquisitionsProfessionals who can build AI agents command up to 45% higher compensa...

Share your thoughts with us Luis Salazar, Founder and CEO of AI4SP, shares research showing successful AI teams follow a natural progression from mastering single prompts to orchestrating diverse AI teammates. Most enterprises slow their AI adoption through overplanning, while frontline teams achieve faster results by identifying pain points, experimenting with available tools, and iterating rapidly. • The five stages of effective AI team building: prompt mastery, task automation, domain spe...

Share your thoughts with us We discuss a thought-provoking approach to AI adoption, explaining why treating AI as team members rather than software installations leads to dramatically better results. • AI isn't just software – it should be onboarded like a new employee, not installed like a program • Organizations using the apprenticeship approach cut AI proficiency time nearly in half • Frontline workers succeed with AI 80% of the time vs 30% for knowledge workers because they naturally use...

Share your thoughts with us We tackle the puzzling disconnect between individual productivity gains from AI and the lack of visible impact on organizational financial metrics, exploring how value creation is fundamentally shifting beyond traditional measurement frameworks. • Up to 72% of time saved by AI doesn't convert to additional output but enables quality improvements, innovation, and better work-life balance • Different roles show different patterns – creative roles redirect time to in...

Share your thoughts with us We dive into the challenges companies face measuring AI's true value and why traditional ROI metrics miss the mark for this transformative technology. • 7 out of 10 executives face board pressure to show AI ROI, with most measuring it incorrectly • History repeating: AI's productivity paradox mirrors the PC revolution where gains took a decade to appear in statistics • Super users achieve gains with teams of 5-10 specialized AI tools rather than waiting for ...

Share your thoughts with us We explore the emergence of the shadow AI economy, where employees leverage unapproved AI tools to boost productivity and efficiency, often without executive awareness. The disconnect between employee usage and executive understanding poses significant questions about innovation versus risk for organizations. • The invisible trend of shadow AI reshaping workplace dynamics • Disparities in satisfaction between enterprise AI tools and niche aliases • Pra...

Share your thoughts with us This episode explores the shift in AI from mere assistance to agentic decision-making, highlighting its implications for individuals and organizations alike. Key topics include the nature of intelligence, the importance of maintaining control, the challenges of public trust, and the necessity of organizational readiness for successful AI integration. • Brief mention of Bill Gates' insights about commoditizing intelligence • The philosophical nature of i...