AI in 60 Seconds | The 15-min Briefing

Share your thoughts with us We debate the rise of forward deployed engineers and multi-billion-dollar deployment arms from major AI vendors, and we name the tradeoff: faster wins can also create deeper vendor dependency if capacity is not built inside your team. We share the day 100 question to ask before you sign anything, plus a simple operating model for AI governance: assign a named agent mana...

Share your thoughts with us McKinsey optimized the business slide deck, and now their own consultants are walking away from it. That one detail tells a bigger story: the best AI users are not "prompting better," they are building interactive dashboards, mini apps, and lightweight tools that teams can actually use. We dig into what our data from more than 370,000 AI users shows about the...

Share your thoughts with us AI now does in ten minutes what used to take ten hours, and nobody, not the firms, not the clients, not the regulators, knows what to charge for it. Professional services, the oldest and most human industry we have, is the early warning system for every knowledge worker, and its economic model is breaking. In this episode of AI in Sixty Seconds, Luis Salazar and Elizabe...

Share your thoughts with us OpenAI and Anthropic announced they would invest over $5 billion to launch dedicated services arms. The frontier labs saw what most CEOs have missed: enterprise AI is workforce transformation, and the function trained to lead workforce transformation is rarely in the room when AI strategy is written. In this episode, Luis Salazar and Elizabeth East make the case that th...

Share your thoughts with us Your A.I. dashboard might be telling the truth and still be useless. If you are measuring A.I. success by licenses, seats, or adoption rates, you are missing where the real return lives: inside the small tasks that fill calendars and quietly run the company. In Episode 8 of Season 3, Luis Salazar and Elizabeth unpack Distributed A.I.: the task-by-task transformation hid...

Share your thoughts with us AI users at proficiency save 67 minutes per task, four to eight hours every week. Yet 6 in 10 enterprise AI deployments return zero, and in 9 out of 10 failing rollouts, the leader signing the checks is not a daily AI user. In this episode, Luis Salazar and Elizabeth unpack why individual AI adoption has never been higher, and company-level results have never been furth...

Share your thoughts with us The AI you're using today is the worst AI you'll ever use. Every week, it gets smarter, faster, and more capable. Great news, but it shifts the question entirely. The bottleneck was never the technology. The bottleneck is us. Over 70 million adults in the U.S. have low literacy skills — struggling with anything beyond simple sentences and short paragraphs. One...

Share your thoughts with us Anthropic surveyed eighty thousand people across 159 countries. Freelancers report 47% economic gains from AI. Corporate employees? 14%. Same technology, radically different results. In this episode, Luis Salazar and Elizabeth unpack why the gap is not about tools; it is about how organizations are structured around them. A procurement agent with 48 managers and triple...

Share your thoughts with us Every enterprise AI success story traces back to one person and one agent. AI4SP studied 6,000+ agents across 200,000 individuals to map what actually happens from that first agent to enterprise scale. In this episode, Luis Salazar and Elizabeth break down the four phases of the journey: the first agent built by a frontline employee, the tipping point where shadow agent...

Share your thoughts with us   Right now, it's like every employee bringing their friends to work without telling HR. No interviews. No background checks. Someone clicks a button, and five agents show up in the org chart. Nobody knows who manages them. McKinsey reported having 40,000 humans and 25,000 AI agents, parity expected by year-end. EY: scaling to 100,000 AI agents. We just crossed 6,0...

Share your thoughts with us     We analyzed AI adoption across 180,000 people. The pattern never changes: in every organization, a small group, between two and eight percent, figured out AI on their own. No training. No permission. They just built. This episode is about finding them before someone else does. We unpack why 93% of AI budgets go to technology and just 7% to people (the Ferrari Fallac...

Share your thoughts with us  - The headlines say AI is failing. The ground truth tells a different story. In this episode, we open the books on the "ROI Paradox." A January 2026 PwC report shows that 56% of companies report zero financial return from AI. Yet nimble operators are unlocking millions in value with lean teams and swarms of small, focused agents. Why the gap? It’s not the mod...

Share your thoughts with us  - A room full of students and business leaders recently asked ChatGPT a simple question: "What is the latest OpenAI model?" They got a polished, authoritative answer. They all believed it. And it was completely wrong! That moment highlights a crisis hitting every organization in 2026: We don’t have an AI usage gap; we have an AI literacy gap. In this episode,...

Share your thoughts with us     After guiding frontline workers to build 4,000 agents in 2025, we learned that the year didn’t belong to glossy AI rollouts. It belonged to mechanics, teachers, and policymakers who named their agents, solved their own pain, and quietly rewired how work gets done. In this season finale, we share how seven global companies and a public-interest initiative built thous...

Share your thoughts with us   Stop waiting for the next model to fix your AI strategy. We make the case that today’s tools already hold more than enough power to transform how teams work, learn, and care, if you stop chasing benchmarks and start cultivating imagination.  We show why frontline experts are the true makers. They know the pain points, the hidden costs, and the edge cases, and with no-...

Share your thoughts with us - Employees are saving hours every week with AI, but companies aren't seeing those gains on the bottom line. The problem is rarely the technology. Our data shows that when AI projects fail, 60% of the time it’s an issue of change management or organizational design. Meanwhile, 70% of employees are already using AI in secret, what we call "Shadow AI." The...

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...

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 pat...

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 conversation...

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. Trackin...

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...

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...

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...

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 pa...

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 deli...