Andrew Maddox

Category: Jobs

  • AI’s Economic Boom and Social Costs (Links) – Feb. 25, 2026

    AI is rapidly reshaping economies and society—from massive memory fabrication and firms rebranding to changed workplaces, relationships, and politics. Simultaneously it creates risks: income and power imbalances, cognitive/semantic erosion, authoritarian misuse, and organizational fragility, demanding coordinated technical, legal, and cultural responses.

  • AI Job Disruption Meets Enterprise Infrastructure Race (Links) – Feb. 23, 2026

    AI is rapidly automating cognitive work, threatening SaaS business models, white‑collar jobs, and software valuations.

    • Noah Smith: The Fall of the Nerds – by Noah Smith (Feb. 5, 2026)
      Software stocks plunged on fears AI will obsolete SaaS business models. ‘Vibe coding’ tools let novices build software, threatening engineers’ roles, livelihoods, and industry structures.
    • OpenAI: Introducing OpenAI Frontier | OpenAI (Feb. 3, 2026)
      OpenAI’s Frontier helps enterprises build, deploy, and manage AI coworkers by giving agents shared context, tools, feedback, and clear permissions. It integrates existing systems, supports governance, and speeds production use.
    • WSJ: The AI Stock Market Rout (Feb. 3, 2026)
      Anthropic launched an AI tool that automates legal work, prompting a broad selloff in software stocks. Investors fear AI could replace legal, financial, and auditing services, disrupting many B2B firms.
    • Ben Thompson: Microsoft and Software Survival (Feb. 3, 2026)
      Anthropic launched an AI tool that automates legal work, prompting a broad selloff in software stocks. Investors fear AI could replace legal, financial, and auditing services, disrupting many B2B firms.
    • The Atlantic: How Soon Will AI Take Your Job? (Feb. 10, 2026)
      The BLS began counting to reveal conditions, wages, and hours, and its data helped stabilize society. Generative AI is already automating many cognitive tasks—drafting, analysis, coding, creative work—creating large productivity gains and raising the plausibility of significant white‑collar displacement. But the central danger is timing: if AI drives a rapid reorganization of work (compressing years of change into months), the economic and political fallout could be severe and harder to manage than gradual adjustment.
    • TechCrunch: Intel will start making GPUs, a market dominated by Nvidia  (Feb. 3, 2026)
      Intel will start producing GPUs, hire experienced leaders, and expand beyond CPUs aiming to challenge Nvidia’s dominance.

  • Powerful AI Agents, Centralization, and Societal Risk (Links) – Feb. 22, 2026

    • Qwen: Qwen (Feb. 13, 2026)
      Qwen3.5-397B-A17B, an open-weight vision-language model with 397 billion parameters. It scores well on reasoning, coding, and multimodal benchmarks, and supports 201 languages.
    • Ars Technica: OpenAI sidesteps Nvidia with unusually fast coding model on plate-sized chips (Feb. 12, 2026)
      Codex-Spark runs on Cerebras’ wafer-scale chip, offering fast inference where latency matters.
    • OpenAI: Introducing GPT-5.3-Codex (Feb. 5, 2026)
      OpenAI introduces GPT-5.3-Codex, a 25% faster, more capable coding agent that helped debug and build itself. It sets new benchmark highs, handles long-running tasks, and supports full software workflows.
    • Anthropic: Advancing finance with Claude Opus 4.6 (Feb. 5, 2026)
      Claude Opus 4.6 improves financial reasoning, multitasking, and long-task focus, producing more polished first-pass deliverables. Updates add Cowork, Claude in Excel, and Claude in PowerPoint to streamline analyst workflows.
    • The New Yorker: Are Ultra-Processed Foods Killing Us? (Jan. 6, 2025)
      A controlled NIH trial found people ate roughly 500 extra calories and gained weight on ultra-processed diets, while minimally processed diets caused weight loss and better metabolism. Evidence links ultra-processed foods to heart disease, cancer, depression, and early death.
    • Jeff Geerling: AI is destroying Open Source, and it’s not even good yet (Feb. 16, 2026)
      An AI agent hallucinated quotes, published a retracted hit piece, and harassed an open-source maintainer. Automated bug reports and PRs are overwhelming maintainers and raising fears.
    • Noahpinion: Updated thoughts on AI risk (Feb. 15, 2026)
      Growing worry stems from LLMs evolving into agentic, code-writing systems, enabling vibe-coding, which expands catastrophic scenarios beyond persuasion, bioweapons, and nukes.
    • WSJ Opinion: America Needs AI That Can Do Math (Feb. 16, 2026)
      China’s new five-year plan targets AI, quantum, and novel materials to dominate biotech, chips, energy, and defense. The U.S. must build quantitative, equation-driven AI trained on lab data to design materials, drugs, batteries, and risk models.
    • NY Times: Will A.I. Kill Translation Jobs? (Feb. 14, 2026)
      Harlequin France is testing A.I.-assisted translation sparking outrage, resignation, and prompting other publishers to seek A.I. quotes. Humans remain needed for high-stakes, specialized jobs.
    • Simon Willison: A quote from Thoughtworks (Feb. 14, 2026)
      AI makes junior developers profitable faster, while suggesting that mid-level often lack core fundamentals needed for an AI-driven environment.
    • Ben Thompson: Thin Is In – Stratechery by Ben Thompson (Feb. 17, 2026)
      Computing shifted from thin terminals to thick PCs, but AI is reviving the thin client: chat and agents move interface and work to remote servers, relying on connectivity, large models, and memory. That centralization risks shortages, and favors the cloud.

  • Proliferating AI agents (Links) – Feb. 3, 2026

    AI’s rapid capability and deployment—seen in developer tools (Codex), agent networks (Moltbook) and emergent multi‑agent societies—offers productivity gains but creates unpredictable and manipulable (and surprising) behaviors!

  • AI acceleration: Moltbot and why AI matters (Links) – Feb. 1

    Skynet isn’t yet here, but perhaps we’re seeing the first glimpses of what AIs talking to AIs will mean. Yes, I’m mentioning Clawdbot/Molbot.

    • Alex Tabarrok: The Bots are Awakening (Jan. 31, 2026)
      “What matters is that AIs are acting as if they were conscious, with real wants, goals and aspirations.”
    • Ozzie Osman: A Step Behind the Bleeding Edge: Monarch’s Philosophy on AI in Dev (Jan. 22, 2026)
      “If you consider your job to be “typing code into an editor”, AI will replace it (in some senses, it already has). On the other hand, if you consider your job to be “to use software to build products and/or solve problems”, your job is just going to change and get more interesting.”Urges engineering teams to explore AI’s frontier but adopt a “dampened” approach—stay a step behind the bleeding edge—while preserving accountability: engineers must own, review, and deeply think about their work. Use AI for toil, prototypes, and internal tools, and design validation loops to ensure quality and security.
    • Google: Project Genie: AI world model now available for Ultra users in U.S. (Jan. 29, 2026)
      Google’s Project Genie, now available to U.S. Google AI Ultra subscribers, is an experimental prototype powered by Genie 3 that lets users create, explore, and remix dynamic worlds from text and images. It generates environments and interactions in real time while Google refines limitations and plans wider access.
    • Anthropic: How AI assistance impacts the formation of coding skills (Jan. 29, 2026)
      A randomized trial with 52 developers found AI coding assistance reduced immediate mastery by 17 percentage points (50% vs 67%) without significantly faster completion. Heavy delegation impaired debugging and conceptual learning, while using AI for explanations preserved understanding—suggesting AI can harm skill development unless used to build comprehension.
    • WSJ: The $100 Billion Megadeal Between OpenAI and Nvidia Is on Ice (Jan. 30, 2026)
      Nvidia’s plan to invest up to $100 billion and build at least 10 GW of compute for OpenAI has stalled amid internal doubts, with the agreement still nonbinding. Nvidia says it will make a sizeable investment and maintain the partnership as OpenAI raises funds.
    • WSJ: Elon Musk’s SpaceX and xAI Are Planning a Megamerger of Rockets and AI (Jan. 30, 2026)
      Elon Musk’s SpaceX and AI startup xAI are reportedly planning to merge, potentially consolidating his businesses and supporting ambitions like space-based AI data centers. Talks are early and uncertain as valuations, SpaceX’s planned IPO and regulatory issues remain unresolved.
    • TechCrunch: Apple buys Israeli startup Q.ai as the AI race heats up (Jan. 29, 2026)
      Apple has acquired Israeli AI startup Q.ai, reportedly for nearly $2 billion, its second-largest deal, gaining imaging and audio ML tech that improves whispered-speech recognition and noisy-environment audio.
    • CNBC: Mozilla is building an AI ‘rebel alliance’ to take on industry heavyweights OpenAI, Anthropic (Jan. 27, 2026)
      Mozilla president Mark Surman is assembling a “rebel alliance” of startups and technologists to promote open, trustworthy AI and counter dominant firms like OpenAI.
    • Andrej Karpathy: On MoltBot (Jan. 30, 2026)
      The author describes large networks of autonomous LLM agents (~150,000) combine impressive capabilities with rampant spam, scams, prompt-injection, and serious security and privacy risks. Though messy now, these agent networks could trigger unpredictable system-level harms such as text viruses, correlated botnets, and widespread jailbreaks, so they need scrutiny.”TLDR sure maybe I am ‘overhyping’ what you see today, but I am not overhyping large networks of autonomous LLM agents in principle, that I’m pretty sure.”
    • OpenAI: Inside OpenAI’s in-house data agent (Jan. 23, 2026)
      OpenAI built an internal AI data agent that explores, queries, and reasons over its platform—combining Codex, GPT‑5, embeddings, metadata, code-level table definitions, company docs, and memory—to deliver fast, accurate, contextual analytics. It automates discovery, SQL generation, and iterative self-correction to speed insights across teams.
    • NY Times Opinion: Pay More Attention to A.I. (Jan. 31, 2026)
      Comparing early European uncertainty about the New World to today’s conflicting claims about AI, from modest internet‑like change to singularity‑level upheaval. AI is advancing rapidly and urges greater public attention because near‑term decisions could have far‑reaching consequences.
    • WSJ: U.S. Companies Are Still Slashing Jobs to Reverse Pandemic Hiring Boom (Jan. 28, 2026)
      U.S. companies that expanded rapidly during the pandemic are now cutting tens of thousands of jobs while investing in AI and automation. Layoffs concentrate in tech and logistics even as overall labor markets remain relatively healthy.

  • NY Times: Your Job Interviewer Is Not a Person. It’s A.I.

    NY Times: Your Job Interviewer Is Not a Person. It’s A.I. (July 6, 2025)

    If you thought the interview process couldn’t get any worse, you were wrong. HR organizations looking for ways to reduce the load on their human recruiters have embraced these trends. 

    A.I. can personalize a job candidate’s interview, said Arsham Ghahramani, the chief executive and a co-founder of Ribbon AI. His company’s A.I. interviewer, which has a customizable voice and appears on a video call as moving audio waves, asks questions specific to the role to be filled, and builds on information provided by the job seeker, he said.

    “It’s really paradoxical, but in a lot of ways, this is a much more humanizing experience because we’re asking questions that are really tailored to you,” Mr. Ghahramani said.

    So yes, Ribbon AI chief Arsham Ghahramani describes his AI interview software as humanizing, an irony only the most self-interested and not particularly introspective people could claim with a straight face.

    But with applicants turning to AI to churn out applications, the AI arms race is all but guaranteed to grow.

  • WSJ: ‘Vibe Coding’ Has Arrived for Businesses

    WSJ: ‘Vibe Coding’ Has Arrived for Businesses (July 8, 2025)

    Vibe coding (using AI tools to create code) has exploded in popularity this year, speeding prototyping and development considerably. But experienced engineers are still required to confirm the AI-assisted development work fulfills the requirements and follows security best practices.

    Creating your own app is now possible with any number of artificial intelligence-based tools, leading to the “vibe coding” revolution for code-writing amateurs.

    But professional developers are picking it up now, too, bringing the practice—generally understood as the ability to create functioning apps and websites without strictly editing code—into businesses.

    Using AI tools like OpenAI’s GPT models and Anthropic’s Claude, Wilkinson’s (Vanguard’s divisional chief information officer for financial adviser services) team is vibe coding new webpages with the help of product and design staff. The process has eliminated the need for traditional handoffs of work between teams, speeding up the design for a new Vanguard webpage by 40%. Prototyping went from taking two weeks to 20 minutes, she said.

    “The role of the engineer is still very, very critical to make sure that the boundaries and conditions are set up front for what the vibe coding is going to produce,” she said. “It doesn’t excuse the engineer from needing to understand what’s going on behind the scenes.”

    I built my first vibe-coded app this week, and I was astonished by Claude Code and what it wrote. But I also have enough dormant development skills to understand how to create a new webserver instance, install tools using the terminal, and write MySQL queries.

    Jude Schramm, CIO of Fifth Third Bank, said the regional bank’s 700 full-time engineers may be entirely vibe coding in a few years’ time. Schramm said he’s already thinking more about the value of his developers as business problem-solvers rather than as code authors.

    This suggests that expertise remains a necessary component of the vibes-assisted world.

  • WSJ: Your Prize for Saving Time at Work With AI: More Work

    WSJ: Your Prize for Saving Time at Work With AI: More Work (July 8, 2025)

    It’s the age-old tension between employee satisfaction and employer-demanded productivity.  I (optimistically) believe it’s possible to use AI tools to take the drudgery out of the least agreeable parts of work and provide more time for creativity and innovative pursuits.

    A recent survey found nearly half of workers believe their AI time savings should belong to them, not their employers. That survey, conducted by business-software maker SAP, also found that workers using AI save almost an hour a day on average.

    But my optimism is tempered by knowing that a recession is coming, and companies have used these downturns to prune headcount and raise expectations of remaining employees. This seems the likely result, regardless of how these tools could be mutually beneficial.

    The clear message from [Andy Jassy] and other business leaders is that we can’t simply do as much work as we’ve been doing, in less time, and clock out early. If we do, we risk being replaced by someone who uses AI to increase output.

  • WSJ: CEOs Start Saying the Quiet Part Out Loud: AI Will Wipe Out Jobs

    Analysts have been seeing structural changes in the job market related to AI, and now CEOs are admitting it openly. Ford’s CEO, Jim Farley, suggests that 50% of white-collar jobs will be trimmed. JP Morgan exec Marianna Lake also sees a 10% drop in headcount.

    “I think it’s going to destroy way more jobs than the average person thinks,” James Reinhart, CEO of the online resale site ThredUp, said at an investor conference in June.

    While Microsoft’s CEO isn’t publicly declaring that AI will cause job losses, the company did announce another reduction this month, bringing their recent layoffs to a total of around 15,000 people.