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  • Goldman Sachs: AI Impact on U.S. Employment Shows Net Negative Effect
    Goldman Sachs: AI Impact on U.S. Employment Shows Net Negative Effect

    Goldman tries to quantify the net effect of AI both substituting for and augmenting U.S. employment. Their conclusion: AI substitution in occupations like phone operations and insurance claims administration have reduced monthly payroll gains by around -25K and raised the unemployment rate by 0.16 pp over the past year. AI augmentation in occupations including medicine and education have added +9K to monthly payrolls and lowered the unemployment rate by 0.06 pp. This nets out to a slight -16K drag on payrolls and an increase in the unemployment rate by 0.1 pp. Caveat: This exercise doesn't account for the possible benefit from either construction hiring due to data-center buildout or AI-driven productivity/income gains.

    → View original post on X — @mfordfuture, 2026-04-06 14:57 UTC

  • Morphic Workflows: Automated Video Creation from Single Image

    Holy sh*t. Dropping one image in and watching it automatically predict 9 scenes, upscale every frame, animate them, and stitch together a compiled video  🤯 @Morphic just dropped ‘Workflows’. You bring the image. It handles everything after.
 Following closely 👀 Jaynti Kanani (JD) (@jdkanani) Introducing Workflows on @morphic. You know what you want, you just don’t know how to prompt for it. That’s what Workflows solve. Storyboarding? Three clicks. UGC ads? No prompting. Color grade? In seconds. Try now: morphic.com/workflows Live with 72 workflows today. More coming soon. With Workflows, you can capture repeatable creative tasks and reuse them without starting from scratch. Just select your assets and options while running a workflow. Minimal prompts required. And no nodes, of course. There’s a workflow for everything: filmmaking, social media, animation, fashion, marketing, and some just to have fun. Tag someone who'd make something wild with this. Here are my 5 favorite workflows: — https://nitter.net/jdkanani/status/2041154028034490867#m

    → View original post on X — @datachaz, 2026-04-06 14:54 UTC

  • Strategic management and alignment of AI agentic stacks

    Commonalities: high ability agents are expensive, low ability/high error agents are cheap, so delegation needs to be strategic, you actually need to align incentives throughout the agentic stack, work products are handed off between levels of the organization, process matters etc

    → View original post on X — @emollick

  • How Anthropic’s Growth Team Leverages AI and Automation

    My biggest takeaways from @AnthropicAI's Head of Growth Amol Avasare: 1. Engineering is getting the most AI leverage—and it’s squeezing PMs and designers. With Claude Code, a five-engineer team now produces the output of 15 to 20 engineers. But PM and design productivity haven’t scaled proportionally. The result is a compressed ratio where one PM is effectively managing the output of a much larger engineering team. Anthropic's growth team is responding in two ways: hiring even more PMs (!), and formally deputizing product-minded engineers to act as mini-PMs for any project with less than two weeks of engineering time. 2. Anthropic is using Claude to automate its own growth. The internal initiative is called CASH (Claude Accelerates Sustainable Hypergrowth). It works across four stages: identifying opportunities, building features, testing quality, and analyzing results. Right now it handles copy changes and minor UI tweaks. The win rate is comparable to a junior PM with two to three years of experience, and improving rapidly. 3. The one part of PM work that AI can’t automate yet: getting six people in a room to agree. Amol and his head of design joke that even with AGI, it’ll still be impossible to align six stakeholders. Cross-functional coordination—managing opinions, navigating politics, mediating tradeoffs—remains the bottleneck that AI doesn’t touch for larger projects. This is why Amol believes PM roles aren’t going away, and may actually grow. 4. 60-80% of Anthropic’s growth team's projects have no PRD. For smaller work, kickoffs happen on Slack—messages back and forth with product-minded engineers who can push back and ask the right questions. For larger projects, Amol believes in a proper 30-minute cross-functional kickoff (legal, safeguards, stakeholders) to surface concerns early. 5. Adding friction to onboarding drives growth—if the friction helps users understand why the product is for them. His work Mercury, MasterClass, Calm, and now Anthropic, adding steps to onboarding flows consistently improved conversion. The key: cut annoying friction that doesn’t add value, but add friction that helps users understand why the product is for them. 6. AI companies need to focus on bigger bets, not better A/B tests. Amol’s argument: if your core product value is driven by AI, then the future value is orders of magnitude higher than today’s value, because model capabilities grow exponentially. In that world, micro-optimizations capture a shrinking share of a growing pie. Traditional growth teams do 60% to 70% small optimizations and 20% to 30% big swings. At Anthropic, they flip this ratio. 7. Amol built a weekly AI agent that scans Slack for cross-functional misalignment. Using Cowork with the Slack MCP, he has a scheduled task that looks across his projects and conversations and surfaces areas where teams are about to do overlapping work or pull in different directions. A colleague on the enterprise team already caught major misalignment that would have caused weeks of wasted effort. 8. A traumatic brain injury taught Amol the principle that now drives his work: freedom through constraints. In early 2022, a kick to the head during a Muay Thai sparring session caused a traumatic brain injury. Amol spent nine months off work and months relearning to walk, unable to look at screens or listen to music for more than 20 seconds. He was re-injured a month after joining Mercury and had to take two more months off. He’s still not fully healed. But the constraints—no alcohol, no caffeine, mandatory breaks, daily meditation—have become the habits that let him operate at the intensity Anthropic demands. “The true freedom in life is learning how to be content when you don’t get what you want.” Lenny Rachitsky (@lennysan) Anthropic is on an unprecedented growth run. Just in the past year they grew from $1B to $19B ARR. They added $6B in ARR just in *February*. Companies like Palantir and Atlassian took 15-20 years to reach ~$5B ARR. Anthropic is adding that every month. Amol Avasare is head of growth at Anthropic, and one of the most impressive people I've had on the podcast. In his first ever public interview, Amol shares: 🔸 How Anthropic is automating growth experiments with Claude (their internal tool called “CASH”) 🔸 Why activation is the single highest-leverage growth problem in AI 🔸 Why Amol is hiring more PMs, not less 🔸 How he uses Cowork to automatically detect team misalignment in Slack 🔸 How the company’s focus on AI coding created a research flywheel that accelerated their models 🔸 How Amol landed his role by cold emailing Anthropic’s CPO @mikeyk 🔸 The brain injury that nearly ended Amol's career Listen now 👇 piped.video/k-H4nsOTuxU — https://nitter.net/lennysan/status/2040827067126907113#m

    → View original post on X — @paulroetzer, 2026-04-06 14:48 UTC

  • AGI Jobs Will Fundamentally Transform Knowledge Work Structure
    AGI Jobs Will Fundamentally Transform Knowledge Work Structure

    AGI Jobs will alter knowledge work at the substrate level—one of those rare inflection points where the very grammar of work is rewritten. #AIAgents #AGIJobs #Jobs

    → View original post on X — @ceobillionaire, 2026-04-06 14:47 UTC

  • AI as AI Ops: Automate Your AI Workflows for Higher ROI
    AI as AI Ops: Automate Your AI Workflows for Higher ROI

    AI is better than you at working with AI. It's better at generating prompts for AI, teaching skills to other AI agents, coordinating messaging between AIs. AI is an AI ops whisperer. Think like a PM: go through the journey you're taking right now with your AI workflows and find high ROI ways to use AI to help your AI efforts. Yes, you can prompt AI to create an app. But you can also… …and this is overkill and would waste a lot of tokens but I want to dramatize it because when costs plummet, we will see strange usage patterns… Prompt an AI with the idea, and then it creates a much better prompt (see images), and then it creates 4 different versions of that prompt, and then it spawns parallel agents to research the product space from 4 different points of view, and then they all meet in an agent team war room and battle it out, and then spec a product together while 5 other agents with 5 different goals in parallel spec it out themselves, and then 3 more agents review and critique the specs, then another reviews all previous work and summarizes, and another one tees up open questions, then 10 more with radically different personas meet to evolve the best idea and spawn 50 more versions, then you run a simulation by 10000 personas to vote for the product with the fastest time to market, highest delight, and strongest ROI potential. And then you create the app. What I'm saying is: find where you are the intermediary and shouldn't be, and find higher order ways to plug yourself in. Take yourself out of the loop before the loop takes you out.

    → View original post on X — @alliekmiller, 2026-04-06 14:38 UTC

  • Top Robotics Stories: AI Talent, Humanoids, and Japan’s Robot Workforce
    Top Robotics Stories: AI Talent, Humanoids, and Japan’s Robot Workforce

    Top stories in robotics today: – UBTech offers $18M a year for one AI scientist
    – This tiny bot grows its own nervous system
    – Japan’s new workforce: robots wanted
    – New gig economy teaches humanoids how to work – Quick hits on other robotics news

    → View original post on X — @therundownai

  • Morphic Introduces Workflows: Simplified Creative Task Automation

    Introducing Workflows on @morphic. You know what you want, you just don’t know how to prompt for it. That’s what Workflows solve. Storyboarding? Three clicks. UGC ads? No prompting. Color grade? In seconds. Try now: morphic.com/workflows Live with 72 workflows today. More coming soon. With Workflows, you can capture repeatable creative tasks and reuse them without starting from scratch. Just select your assets and options while running a workflow. Minimal prompts required. And no nodes, of course. There’s a workflow for everything: filmmaking, social media, animation, fashion, marketing, and some just to have fun. Tag someone who'd make something wild with this. Here are my 5 favorite workflows:

    → View original post on X — @aihighlight, 2026-04-06 14:00 UTC

  • Agent Orchestration: AI Infrastructure for Executive Leadership 2026

    What every executive needs to know about agent orchestration in 2026: ✅Agentic RAG is unlocking institutional knowledge hidden in unstructured data. ✅As AI agents begin to act on data, governance and accountability become board-level issues. And perhaps the biggest shift ahead: AI agent orchestration. The organizations that win will have better systems for coordinating AI, data, and human decision-making. That’s when AI stops being a tool and becomes operational infrastructure. Here is my latest #CXOSpice conversation with Ed Keisling, Chief AI Officer at @ProgressFT: piped.video/aUWRJ_pIOw8 #DataStrategy #AI #AgenticAI #Cybersecurity #ProgressPartner

    → View original post on X — @yuhelenyu, 2026-04-06 14:00 UTC

  • Letterbook AI Automates Support Tickets Refunds and Billing
    Letterbook AI Automates Support Tickets Refunds and Billing

    Letterbook — AI that resolves your support tickets
    Connect your inbox, database & Stripe. Letterbook's AI reads your playbooks, drafts resolutions, and auto-handles refunds, login issues, and billing tickets — with 1-click human approval. https://
    buff.ly/dSasPJK

    → View original post on X — @futurepedia_io