A daily news analysis show on all things artificial intelligence. NLW looks at AI from multiple angles, from the explosion of creativity brought on by new tools like Midjourney and ChatGPT to the potential disruptions to work and industries as we know them to the great philosophical, ethical and practical questions of advanced general intelligence, alignment and x-risk.
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This episode delves into AI's profound effects on human work, examining competing visions of an AI-driven future where labor either disappears or new forms of value emerge. It explores economic inequality, human psychology concerning relative wealth, and the transformation of roles in software engineering and product management. Ultimately, it argues for a shift towards humans becoming proactive tool-builders, leveraging AI to shape their environment and create new opportunities.
Nathaniel Whittemore introduces the "AI Operators" initiative, a skills-focused program to enhance AI proficiency, using the New Year's AI resolution challenge as a case study. He unveils the Model Map Builder app, a tool for users to test and map AI models for various use cases, and demonstrates a rapid software development workflow with AI agents, emphasizing a shift to a "hands-on" approach for effective AI operators.
This episode explores how AI disrupts existing business models, even for popular products. It covers Google's AI integration into Gmail, geopolitical challenges affecting AI chip sales like NVIDIA's in China, and the surge of AI-powered shopping on platforms like Amazon and Microsoft. The discussion then deep dives into the vulnerability of open-source and information businesses, using Tailwind CSS and Stack Overflow as prime examples of how AI can increase usage while simultaneously decimating revenue by obviating traditional value capture mechanisms.
Today's episode delves into OpenAI's launch of ChatGPT Health, highlighting how millions are already using AI to understand symptoms, navigate insurance, and address healthcare access issues. It examines usage data, new privacy features, and discusses why health could become a critical 'data moat' for AI. The episode also covers record-setting AI fundraising rounds and Google's recent market cap growth.
This episode explores the intense reaction to Claude Code and Opus 4.5, highlighting a fundamental shift in AI's coding capabilities. It delves into user experiences, the perception of Claude as a generalized 'computer,' and the psychological impact of delegating to highly competent AI agents. The discussion also covers emerging challenges, predictions for a 'post-UX' world, and the immense entrepreneurial opportunities and societal changes ahead, emphasizing its mainstreaming potential.
CES 2026 marks a clear turning point for AI, shifting away from novelty gadgets and toward serious, category-defining products from the industry’s biggest players. This episode breaks down how Nvidia, AMD, Google, Amazon, and Samsung used CES as a roadmap for where AI infrastructure, devices, and assistants are headed next—and why the conference now feels less like a tech circus and more like a declaration of intent for the year ahead. In the headlines: Wall Street’s underappreciated AI risks, i...
The episode delves into "context graphs," a crucial concept for enterprise AI, explaining how they capture the "why" behind decisions through "decision traces" to overcome the limitations of traditional systems of record and enhance AI agent autonomy. It contrasts this with the "what" provided by existing data, highlighting how agents can learn organizational schemas from actual usage. The discussion also covers recent AI headlines including new AI wearables, China's AI in cancer detection, X's Grok moderation failures, and Yann LeCun's criticism of Meta's AI strategy.
This episode explores how AI agents will fundamentally transform knowledge work, moving beyond simple automation to enable new scales of operation for individuals, organizations, and entire economies. Drawing on essays from Ivan Zhao and Aaron Levie, the discussion highlights the shift from human-paced workflows to continuous, agent-driven processes, predicting a Jevons Paradox where increased efficiency leads to an explosion of new types of work and opportunities, requiring humans to manage and define new roles.
This episode dissects Meta's acquisition of Manus and NVIDIA's licensing deal with Groq, highlighting their significance for the future of AI. Meta's move signals the rise of AI agents as core distribution channels, moving beyond mere features, while NVIDIA's investment emphasizes owning the rapidly evolving inference market. These deals collectively indicate a shift in AI competition from models to agents, infrastructure, and user interfaces.
Discover a comprehensive 10-weekend AI resolution designed to transform theoretical AI knowledge into practical skills. This self-guided plan features modular projects, including creating a personal AI topography, conducting deep research and data analysis, and developing visual reasoning and information pipelines. The program culminates in building robust automations and an AI-powered app, aiming to establish lasting AI habits and workflows for 2026.
Part two of the AI predictions series looks ahead to how competition, markets, and politics could shape AI in 2026, from the durability of coding model leaders and the future of Grok and Meta to Chinese open-weight models, agent labs versus model labs, M&A, IPO timing, and whether Alphabet becomes the world’s biggest company. The episode also digs into how public markets, private credit, data center politics, layoffs, and anti-AI sentiment could collide with macro forces and election dynamic...
Part one of a two-episode forecast on AI in 2026, focusing on models and capabilities, release strategy shifts, multimodal races, memory, and the evolution from assistance to agent management. It also explores how vibe coding expands beyond engineering, why bespoke personal software grows, and how these trends start reshaping enterprise adoption next year Brought to you by: KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unloc...
Lovable CEO Anton Osika discusses the rapid evolution of AI-assisted coding, from early GitHub experiments to enterprise-grade infrastructure. The conversation covers how initial skepticism transformed into widespread adoption, the shift from prototypes to production-ready personal and business applications, and Lovable's product strategy for diverse user needs. It also delves into the changing role of software engineers, the importance of new skills like creativity and judgment, and future trends such as ephemeral software and custom SaaS replacements.
A ranked countdown of the AI model releases that defined 2025, shaped how people actually use these systems, and reset expectations across the industry. The episode includes a few notable omissions, some controversial placements, and plenty to argue about—by design. Brought to you by: KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start ...
This episode delves into 51 critical charts shaping artificial intelligence in 2026, offering a comprehensive look at current trends and future predictions. It explores significant advancements in AI capabilities, massive infrastructure investments by hyperscalers, and the intense market competition among major labs. The discussion also covers AI's economic impact, including ROI, monetization strategies like advertising, and its transformative effect on coding. Finally, the episode examines the broader societal and political implications, from labor market disruptions to evolving public sentiment and regulatory landscapes.
Mike Krieger, CPO of Anthropic, explores the evolution of AI coding, from Claude 3's early capabilities to the emergence of coding agents as a breakout use case. He discusses the product design philosophy for capabilities that don't fully exist yet, the surprising non-coding applications of tools like Cloud Code, and the ongoing challenges of user adoption. The conversation highlights how enterprises are moving beyond pilots to scaled AI deployments, redesigning processes, and anticipating 2026 as the year AI reliably takes on significant work.
From DeepSeek’s shockwave debut and the trillion-dollar AI infrastructure buildout to the bubble debate, the MIT enterprise adoption backlash, the AI talent wars, and the rise of reasoning, agents, and vibe coding, this episode walks through the 10 defining AI stories that shaped 2025 and set the trajectory for 2026, including why agent infrastructure quietly became the most important foundation of the year and how next-leap models like Gemini 3, Opus 4.5, and GPT-5.2 reset expectations for what...
This Sunday long-read episode digs into a16z’s newly released Big Ideas for 2026, scoring the most interesting predictions across likelihood, real-world value, and pure X-factor. From taming multimodal data chaos and agent-native infrastructure to voice agents, multiplayer vertical AI, AI-native universities, and the industrial renaissance powered by software and automation, the episode separates what feels inevitable from what feels premature—and what’s just plain cool. The result is a highly s...
This episode delves into a packed week of AI news, including Google's Gemini 3 Flash release setting new efficiency benchmarks and OpenAI's massive fundraising efforts, including Amazon's potential multi-billion dollar investment. It also covers Amazon's internal AI reorganization, concerns over Oracle's data center financing, ChatGPT's new app store, and governmental AI initiatives. The episode concludes with a deep dive into Bernie Sanders' controversial call for a data center construction moratorium, highlighting the ongoing political and societal debates surrounding AI's rapid advancement.
A first readout of the AI ROI Benchmarking Study shows that real business value from AI is no longer theoretical: 82 percent of organizations report positive ROI today, 37 percent report significant or transformational impact, and nearly all expect gains to accelerate over the next year. Drawing on more than 1,200 respondents and 5,000 use cases, this episode breaks down where ROI is actually coming from, why smaller organizations are often seeing outsized gains, how time savings compare to stra...
OpenAI has released GPT Image 1.5, challenging Nano Banana Pro in image generation. This episode delves into initial reactions, benchmark comparisons, and user feedback, revealing a surprising parity between the models. It highlights four specific areas where GPT Image 1.5 excels, such as hyper-precise instruction following, unique infographic aesthetics, and a consumer-first interface, offering creators genuine high-end choice.
Deloitte's latest Tech Trends report reveals that unlocking AI's full potential requires businesses to fundamentally redesign their operations, processes, and even their tech organizations, moving beyond simple chatbot implementations. The episode delves into why agentic AI necessitates infrastructure modernization, new management models, and addresses key blockers like legacy systems, data readiness, and governance. It also touches on emerging trends like physical AI and the shift to Generative Engine Optimization (GEO) over SEO, emphasizing that AI advantage stems from rebuilding for an AI-native future.
A tight breakdown of Time’s “Architects of AI” cover, who made the cut, and why the framing misses several crucial players. The episode argues that beyond chipmakers, model labs, and politicians, AI’s true architects also include China, major capital allocators, the Middle East, enterprise operators, and cultural translators who turn AI into real-world impact. Brought to you by: KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and ...
This episode delves into the non-linear, compounding nature of AI advantage, using new data from OpenAI, Menlo Ventures, and EY. It highlights how leading organizations are outperforming peers by embracing more intensive AI use cases beyond simple time savings, focusing on areas like improved decision-making and new capabilities. Crucially, these leaders are reinvesting their AI-driven gains into deeper capabilities, creating powerful flywheels that further widen the gap with lagging competitors.
Today’s episode breaks down GPT-5.2, OpenAI’s most work-focused model yet, with major gains in reasoning stability, long-context performance, and real professional tasks like coding, spreadsheets, and presentations. The conversation looks at early benchmarks and tester reactions, what OpenAI’s emphasis on economic value signals about its strategy, and how the model’s launch coincides with a blockbuster new Disney partnership that expands OpenAI’s reach across enterprise, media, and IP. Brought t...
Today’s episode breaks down new reports from OpenAI and Menlo Ventures that show enterprise AI adoption accelerating quickly, with coding emerging as the first true killer use case, reasoning models driving deeper workflow integration, and the gap between leaders and laggards widening as frontier firms compound their advantages. The conversation also looks at early agent deployments and what these trends signal for the 2026 boom-versus-bubble debate. In the headlines: Anthropic donates MCP as Op...
Today’s episode breaks down Trump’s decision to allow Nvidia to export H200 chips to China, a reversal of a decade of bipartisan China-hawk policy that could radically reshape global AI power dynamics, US industrial strategy, and the geopolitical balance around compute, with a close look at industry reaction, national-security concerns, and why this move may accelerate China’s capabilities even as it deepens their reliance on US hardware. In the headlines: Google readies a full line of AI smart ...
Today’s episode breaks down a massive new empirical study from OpenRouter and a16z that analyzed more than 100 trillion real-world tokens to reveal what developers and power users are actually doing with AI right now, from the surge in reasoning models to the dominance of coding workloads to the unexpected rise of roleplay in open-source systems. The discussion explores how the shift toward long-context programming tasks, tool-use invocation, and hybrid stacks of closed and open models is reshap...
Today’s episode explores why public distrust in AI is accelerating, from Edelman data showing sharp divides across income, age, and geography to a broader mix of tech fatigue, social-media backlash, political posturing, and economic anxiety that’s shaping perception more than direct experience with the tools; it also looks at how concerns around job cuts, energy use, and unclear corporate motives amplify the narrative, and what early signals suggest might actually rebuild trust, including real t...
