Early Adoptr: Making AI Your Unfair Advantage

Early Adoptr
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AI is moving fast. Most of the advice out there is written for developers, not for people actually running businesses. Early Adoptr is for founders and small business owners who want to use AI to get more done without needing a technical co-founder to explain it first. Each week, Jess and Kyle cut through the noise, test the tools, and show you what is actually worth your time. Practical, plain-English, and free of the hype. Whether you're just getting started with AI or you're already using tools like ChatGPT and want to go deeper, Early Adoptr meets you where you are. From automation workflows that save you hours every week, to the latest AI tools for marketing, operations, and customer service, we cover what actually works in the real world, not just in theory. Think of it as having two savvy friends who spend their weeks testing every new AI tool so you don't have to. Jess and Kyle bring together hands-on experience from the worlds of entrepreneurship, marketing, and technology to help you cut through the hype and find the innovations that move the needle for your business. No jargon. No gatekeeping. Just actionable advice for entrepreneurs who want to stay ahead of the curve and make AI their unfair advantage. New episodes every week. Subscribe wherever you listen to podcasts. Hosted on Acast. See acast.com/privacy for more information.

  1. 2 天前

    Claude Code Without the Code: A Non-Developer's Week in Review (w/ Sean Bhardwaj)

    Last week, Kyle and special guest Sean debated whether Claude Code is worth switching to if you don't know how to code. The answer was: it depends. So Sean spent the following week finding out. In this episode, it's the second part of our interview with Sean. Kyle and Sean to go through what actually happened when Sean used Claude Code for a week, including the modes that made Claude Code manageable, the controls that give you more say over how it works, and where it still falls short of Cowork for everyday work. Plus, Jess is back from Cannes Lions with a round-up of what the advertising industry is saying about where AI is heading. Vibe Coding Series: Part 1 of Sean's interview: https://shows.acast.com/early-adoptr/episodes/claude-code-vs-cowork-what-non-technical-founders-need-to-kn Basics of Vibe-coding: https://shows.acast.com/early-adoptr/episodes/vibe-coding-for-non-technical-founders-where-things-actually How to set up your files & folders for vibe-coding: https://shows.acast.com/early-adoptr/episodes/your-ai-keeps-forgetting-everything-heres-how-to-fix-it-w-ro How to find Sean: https://breakthroughgrow.com/https://www.linkedin.com/in/seanbhardwaj/ Use these links for a discount on the tools we recommend (and it supports the pod!) Wispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptrGranola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptr In this episode: How Claude Code's modes (plan, think, auto) work and which to reach forRunning several tasks at the same time and what it does to your output speedMonitoring and automation: setting Claude Code to act when something changesManaging how much effort Claude Code puts in and avoiding burning through your usageComparing Claude Code and Cowork: what each one is actually better atSean's week-long experiment switching exclusively to Claude CodeJess's round-up from Cannes Lions 2026 and what was different about AI conversations this year Timestamps: 00:00 - Introduction, Cannes Lions and the Claude Fable 5 update 11:06 - What agents actually are in Claude Code 13:26 - Plan mode, thinking mode and auto mode 19:28 - How Claude Code can work on several things at once 27:26 - Making the most of your Claude Code usage 28:42 - Set it and forget it: monitoring with Claude Code 31:05 - Why batching your focus time matters 33:11 - Setting Claude Code to watch for something and act when it happens 35:39 - The Claude Code controls that give you more say over how it works 38:20 - How to stop Claude Code from using more than you need 41:13 - Cowork vs Claude Code: Sean's verdict 46:14 - Quick wins for non-technical users 47:28 - Why Sean made the switch 47:52 - One week in Claude Code: what actually happened 50:28 - How to check in on a running Claude Code session from your phone 53:20 - How skills work in Claude Code 56:09 - Why thinking through what you want before Claude starts gets better results 58:58 - When Claude Code overdoes it and Cowork is the simpler choice 01:02:07 - Where AI tools like Claude Code are heading next Get in Touch hello@earlyadoptr.ai TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr LinkedIn: https://www.linkedin.com/company/early-adoptr/ www.earlyadoptr.ai Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.

    1 小時 8 分鐘

  2. 7月1日

    Claude Code vs Cowork: What Non-Technical Founders Need to Know (w/ Sean Bhardwaj)

    If you use Cowork and talk to anyone slightly more technical about what you're doing with AI, you've probably heard it. "Just use Claude Code." Maybe more than once. And when you've tried to figure out whether that advice actually applies to you, the answers have been some version of "it depends." That's not helpful when you've never written a line of code and you're trying to make a sensible decision about your tools. In this week's episode, Kyle is joined by Sean Bhardwaj, Managing Partner at Breakthrough Growth Partners and returning guest on the show, to work through what the difference between Cowork and Claude Code actually is and whether switching is worth it for someone who is non-technical. Sean has been using AI tools to build real things in his business without a developer on hand, so his experience is more useful here than a purely technical take would be. Together they cover why Cowork's constraints exist and what they protect you from, what you gain in Claude Code, the framework for deciding which one to reach for, and the one setup rule that removes most of the risk if you do decide to make the move. How to find Sean: https://breakthroughgrow.com/https://www.linkedin.com/in/seanbhardwaj/ Use these links for a discount on the tools we recommend (and it supports the pod!) Wispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptrGranola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptr What You'll Learn: Why Cowork and Claude Code are not the same environment and why that distinction mattersWhat Cowork's sandbox actually protects you from (and why it's intentional)What you gain in Claude Code that you can't get in CoworkThe framework for choosing between the two depending on what you're buildingThe one setup rule that removes most of the risk in Claude CodeWhat staging and production actually meanWhy VS Code makes Claude Code feel far less intimidatingHow vibe coding works on an existing codebase, not just when starting from scratch Timestamps: 00:00 Introduction 01:41 Reintroducing Sean Bhardwaj 04:26 Sean's journey as a non-technical vibe coder 07:04 How far vibe coding can actually take you 09:57 Why Cowork beats basic chat for knowledge work 12:04 Folder structure and context 14:20 What Claude Code gives you that Cowork doesn't 17:04 Where Cowork's limits are 19:50 Deciding Between Co-Work and Code 25:13 When to use Cowork vs. Claude Code 28:42 How much coding do you need to know? 30:09 How to set up Claude Code safely 33:25 The Importance of Setup: Staging vs. production 35:50 Navigating Existing Code Bases vs. Starting Fresh 38:07 The Role of Agents in Coding and Co-Work Get in Touch hello@earlyadoptr.ai TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr LinkedIn: https://www.linkedin.com/company/early-adoptr/ https://www.earlyadoptr.ai/ Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.

    44 分鐘

  3. 6月24日

    Why Your AI Keeps Forgetting You, and the Folder That Fixes It (w/ Rob Webster)

    AI has a memory problem. It is exceptionally capable within a session, helping you draft a pitch, review a contract, and write a client proposal in the same afternoon, but close the tab and it forgets everything. Open a new chat and you are back to square one, re-explaining who you are and what you do from scratch, every time, until it still never quite sounds like you. This week, Rob Webster, founder of TAU Marketing Solutions, joins Jess and Kyle to explain why this happens and how a simple file and folder structure gives your AI permanent, reliable context, so you stop losing ground at the start of every session. What You'll Learn Why AI tools lose context between sessionsWhy folder-based context is better than any system promptThe difference between always-on context (the things permanently true about you, your role, and your business) and situational context you load in only for specific tasks or clientsHow to build a simple folder structure , what files to put in it, and how tools like Claude read that context automatically so you don't have to paste it in every timeHow to decide what information should live permanently in your files versus what's transitory context that should be removed once a project or idea is doneWhat "context drift" is and why long conversations degrade even when you've done the setup correctly — and how to catch it earlyHow this same folder structure becomes the foundation for more advanced AI work, including Claude Cowork and building your own AI agents Rob Webster - https://www.linkedin.com/in/digitalstrategyleader/ TAU Marketing Solutions - https://taums.ai/ Use these links for a discount on the tools we recommend (and it supports the pod!) Wispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptrGranola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptr Timestamps: 00:00 Introduction 03:48 Why Boring AI Habits Beat Impressive Ones 08:23 Two Kinds of Context: Always On vs Load When You Need It 10:50 Reintroducing Rob Webster 12:57 Why AI Forgets Everything Between Sessions 16:43 What You're Losing Every Time You Open Claude Without Context 22:37 Context Drift: Why AI Outputs Get Worse the More You Use It 25:52 How to Start Giving Your AI Context About Who You Are 32:01 Making It Stick: Naming Chats, Pinning Projects, Starting Your Folders 35:28 What a Working Folder Structure Actually Looks Like 37:04 Where to Store Your AI Context Files (Local vs Cloud) 46:40 Global vs Project-Specific: The About Me Folder and Beyond 53:47 How AI Reads Context 56:12 How This Scales Into Agents, Claude Code, and Vibe Coding Get in Touch hello@earlyadoptr.ai TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.

    1 小時 3 分鐘

  4. 6月17日

    Vibe Coding for Non-Technical Founders: Tools, Models, and How to Start

    Vibe coding has made it possible to build working software without writing a line of code, and most non-technical founders haven't caught up with that yet. The assumption that you sketch something out with AI and then hand it to a developer is out of date for a lot of use cases. The tools have moved on, and this episode explains what that actually looks like now. Vibe coding was Collins Dictionary's Word of the Year for 2025, and it has moved well beyond the developer community. Founders, operators, and small business owners are using these tools to build working internal tools, automations, and web apps for themselves. The tools have matured to the point where knowing what to build and being able to describe it matters far more than knowing how to write the code. This episode is the first in a new series on vibe coding. Jess and Kyle cover what the tool landscape looks like today, which starting point fits your situation, how much the agent now does versus how much you need to manage, and what Anthropic's Claude Fable 5 means for where all of this is heading. If you've been curious about whether these tools are actually ready for someone without a technical background, this episode is the place to start. What You'll Learn Why vibe coding has become genuinely usable for non-technical founders What the difference is between the tool you work in and the model underneath itWhich tools non-technical founders are actually building with - Cursor, Lovable, Bolt, Replit, and Claude Code - and how to decide where to startThe difference between the harness and the modelWhy clear briefs and good project management matter more than code when you're building with AI toolsWhat Claude Fable 5 is built forWhy the skills that matter most for building with AI in 2026 are the same ones you use when you brief a designer or hand a project to a team member Use these links for a discount on the tools we recommend (and it supports the pod!) Wispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptrGranola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptr Timestamps: 00:00 Introduction 08:51 Why We're Revisiting Vibe Coding 14:19 Why Anthropic Is Building Both the AI Model and the Coding Tool 15:01 How the Tool Landscape Has Changed Since Last Year 25:42 What Fable 5 Changes for Vibe Coding (and Why You Can't Use It Right Now) 30:42 How the Vibe Coding Workflow Has Changed 32:11 What It Means That the Agent Now Runs the Whole Project, Not Just the Next Step 37:54 What Your Role Actually Looks Like When the Agent Does More of the Work 43:56 Persistent Agents: What They Are and Why They Matter for Vibe Coding 50:01 What Non-Technical Founders Can Realistically Build Themselves Right Now 54:39 Do You Still Need a Developer? 55:18 Key Takeaways 57:16 Wrapping Up for the Week Resources : Claude Code: https://claude.ai/codeCursor: https://cursor.comLovable: https://lovable.devBolt: https://bolt.newReplit: https://replit.comBase44: https://base44.comGitHub Copilot: https://github.com/features/copilotVellum: https://www.vellum.ai How to make vibe coding sustainable inside the enterpriseAI vibe coding boosts output but strains oversightMCP, vibe coding and harness engineeringAmazon AI coding outage reviewStack Overflow Developer Survey 2025A quarter of startups in YC's current cohort have codebases almost entirely AI-generatedGoogle: 75% of code is now AI-generated Get in Touch hello@earlyadoptr.ai TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr LinkedIn: https://www.linkedin.com/company/early-adoptr/ Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.

    59 分鐘

  5. 6月10日

    Women and AI: What's Really Behind the Adoption Gap (w/ Nadia Koski and Stefanie Beach)

    We've all seen the stats. Women are adopting AI tools at a 25% lower rate than men. 33% of men use AI daily at work versus 27% of women. Men are 23% more likely to be encouraged by their managers to try it, and 27% more likely to be praised when they do. Most of the conversation about women's lower AI adoption rates focuses on what women need to do differently. Instead, we're looking at the conditions that produced the gap in the first place, and why closing it matters far more than just productivity. This week on Early Adoptr, Kyle is away so Jess is joined by Nadia Koski, digital growth expert at The Marketeer Group, and Stefanie Beach, founder and CEO of The Marketeer Group, to get into what's actually driving the adoption gap and what women founders and small business owners can do about it. Because when women use AI tools less, that eventually shapes what the tools look like. It costs the economy. And it grows over time. We'll work through the stats, the barriers, and the guilt that comes with using AI at work. We also get into how to start without the overwhelm, the mental load, and why the caution women tend to bring to AI turns out to be an asset. If you're going to Cannes, make sure to check out the sessions that Nadia and Stefanie are running: Cannesversations Series - LIVE FROM CANNES YouTube Channel or LinkedIn for contextFor Cannes 2026 -  Cannesversations Interest Form  The Digital Marketeer podcast: Follow Nadia: Nadia Koski on LinkedIn: https://www.linkedin.com/in/nadiakoskiStill Human: Real Talk in the Age of AI Podcast: https://open.spotify.com/show/6xCZdhBOerROCuLatJoNay?si=FeYj2JidTtiA9xsREd9Ftg Follow Stefanie: Stefanie Beach on LinkedIn: https://www.linkedin.com/in/stefanieg/Stefanie@TheMarketeerGroup.comwww.themarketeergroup.com  Use these links for a discount on the tools we recommend (and it supports the pod!) Wispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptr Granola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptr What You'll Learn: Why corporate AI challenges often exclude women without meaning toWhy finishing a project faster with AI does not mean charging less for it, and why women are more likely to think it doesWhat a team leader needs to have in place before running internal AI training, and why protected experimentation time mattersWhy more women in their 40s are leaving corporate life for entrepreneurship, and what the AI revolution has to do with it Timestamps: 00:00 Where's Kyle + Women & AI  03:23 Introductions: Nadia & Stefanie 08:19 The Data on Women and AI Adoption 10:55 How Women in Tech Engage with AI Differently 12:02 The Perfectionism Problem 15:36 How to Give Your Team a Safe Space to Try AI 19:00 How to Actually Educate Yourself on AI 21:13 Who Really Has Time to Learn AI 24:31 Why the Founders Furthest Ahead on AI Have a Support Network at Home 25:53 Why the AI Revolution Is Pushing More Women Into Entrepreneurship 28:23 The Unpaid Work Research That Explains the Women's AI Adoption Gap 29:46 Why Using AI to Brainstorm and Polish Your Work Is Not a Shortcut 31:27 Fighting the Guilt and Redistributing the Mental Load as a Female Founder 33:23 The Glass Cliff: Why Women Face Higher Stakes When AI Goes Wrong 36:22 Why Doing Work Faster with AI Doesn't Mean You Should Charge Less 38:20 What Workplaces Can Do to Give Women Equal Access to AI Learning 42:45 Is Being Cautious About AI Actually a Business Advantage? 47:24 Why Women Questioning AI Accuracy Is Good for Business 47:39 Don't Be Afraid to Start: Final Advice for Women Using AI Resources: Harvard Business School studyLean In studyWhy women aren't ‘missing’ the AI trainMalin Frithiofsson (Daya Ventures)Maya Betron (PowHer Data)Sinead Bovell Get in Touch: Email: hello@earlyadoptr.ai TikTok / Instagram / YouTube: @early_adoptr LinkedIn Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.

    55 分鐘

  6. 6月3日

    Claude for Small Business: What Is It and Is It Worth It?

    Claude for Small Business is Anthropic's answer to the admin pile that never goes away. If you're running a small business or startup, you already know the problem: you're the one doing payroll, chasing invoices, building proposals, and following up with leads who went quiet, all at once, all the time. Claude for Small Business doesn't fix all that, but it does something almost more useful: it runs your most time-consuming jobs directly inside the tools you're already paying for, like QuickBooks, HubSpot, PayPal, Canva, and more. In this episode, Jess and Kyle get into what Claude for Small Business actually includes, how the workflows and skills fit together, what it looks like in practice, and what you need to know before you connect anything. If you've listened to our Cowork, Skills and MCP episodes, this is where those pieces click into place. They also give an update on last week's jobs episode, which already has multiple updates in the week since it was published. Full list of workflows & skills: https://claude.com/plugins/small-business The setup command: /smb-onboard Tools we use: Wispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptr Granola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptr What You'll Learn Why Claude for Small Business isn't just another AI chatbot layerHow Claude asks for your approval before taking actionWhat Claude can do inside tools like QuickBooks, HubSpot, and PayPalWhat the 15 pre-built workflows are and what they actually doThe difference between a workflow (the full job you trigger) and a skill (the reusable technique running underneath it)How the approval model worksThe permissions and data access questions to answer before you connect anythingHow to decide whether Claude for Small Business is worth it at this stage of your business Timestamps: 00:00 Introduction: Claude for Small Business Explained 05:22 What Is Claude for Small Business? 07:11 Understanding Connectors and Workflows 09:33 Claude's Pre-Built Workflows and Skills: What's Included 15:35 Why Claude Asks for Approval Before Acting on Your Data 17:52 Data Security: What Claude Can and Cannot See 19:43 Claude for Small Business: Permissions and Access Levels Explained 21:50 Row-Level Access and How Permissions Actually Work 23:23 Garbage In, Garbage Out: Why Data Quality Matters 25:19 How to Set Up Claude for Small Business (Step by Step) 31:02 Pros and Cons of Claude for Small Business 33:20 Claude for Small Business: What It Costs and What You Get 35:35 The Approval Mechanic: Smart Product Design or Speed Bump? 36:31 How This Differs from ChatGPT and Microsoft Copilot 37:25 Data Retention and Privacy: What You Need to Know 43:33 Key Takeaways and How to Get Started with Claude for Small Business 46:15 AI and Jobs — What's Changed This Week Related Episodes: Claude SkillsModel Context Protocol (MCP)Claude Co-WorkReference material: https://www.anthropic.com/news/claude-for-small-business https://www.forbes.com/sites/jodiecook/2026/05/24/run-your-whole-business-from-one-tab-with-claudes-new-update/ https://medium.com/@sebuzdugan/how-to-use-claude-to-automate-your-small-business-in-a-weekend-15c749aac5e0 https://www.technologyreview.com/2026/05/26/1137855/a-reality-check-on-the-ai-jobs-hysteria/https://fortune.com/2026/05/26/sam-altman-dario-amodei-walking-back-ai-jobs-apocalypse-prophecies-ipo/https://www.gov.ca.gov/2026/05/21/governor-newsom-signs-first-of-its-kind-executive-order-to-prepare-workers-and-businesses-for-potential-ai-disruption/https://fortune.com/2026/05/03/chinese-court-layoffs-workers-ai-replacement-labor-market/ Get in Touch: Email: hello@earlyadoptr.ai TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr LinkedIn: Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.

    56 分鐘

  7. 5月27日

    Is AI Really Taking Jobs? What's Going on Behind the Headlines

    AI layoffs are dominating the news, but the story being told isn't the full story. In this episode, Jess and Kyle break down what's really driving the cuts, and what it means for your job and your business. When Meta announced 8,000 job cuts, the coverage landed the same way it always does: AI is replacing people, the future is here. But the numbers don't support that story. Meta's savings from the cuts amount to roughly three billion dollars. Their AI infrastructure spend this year runs to multiples of that. So what's actually going on? In this episode, Jess and Kyle work through the real economics behind the layoff headlines, from the infrastructure bets driving the cuts, to the compute costs that are now exceeding what companies spend on their own people, to the quietly alarming data on what's happening to early-career workers. They also cover the Musk v. Altman verdict, what it means for OpenAI's upcoming IPO, and why Anthropic keeps coming out looking like the adult in the room. The episode closes with practical guidance on what founders, team leaders, and employees can actually do right now, including why waiting to feel ready is the worst strategy available. What You'll Learn: Why Meta's 8,000 job cuts are better understood as a budget-clearing exerciseWhat AI washing is and how to spot it in a layoff announcementWhy infrastructure spending at Amazon, Meta, and Microsoft is projected to exceed total payroll costs by $50 billion this yearWhat MIT research actually found when it tested whether AI is economically viable compared to keeping humans in the roleWhy 43% of CEOs plan to reduce junior roles over the next two yearsWhy IBM's contrarian bet on junior hiring may look very smart in ten yearsWhy smaller businesses are better placed than large firms to make the same moveWhat AI fluency actually means in practice Tools we use and recommend: We only recommend tools we actually use. Both links below are affiliate links — if you sign up, it costs you nothing extra and helps support the show. Wispr Flow — AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptr Granola — The best AI meeting notes! New users get 100% off for their first month. https://www.granola.ai?via=early-adoptr Timestamps: 00:00 Introduction and Personal Updates 04:58 Why the AI Layoff Headlines Don't Tell the Whole Story 08:58 When Companies Cut Staff to Fund AI and Call It Efficiency 18:16 How Meta Extracted Its Employees' Knowledge Before Letting Them Go 22:40 Why the Productivity Gains Don't Justify the Scale of the Cuts 28:12 When Running AI Costs More Than Paying Your Team 29:58 MIT Research: AI Is Only the Cheaper Option in 23% of Cases 32:14 The Disconnect in AI Implementation 33:52 Why Junior Roles Are Being Cut First 35:44 The Talent Pipeline Problem Nobody Is Planning For 38:28 Redesigning Early-Career Roles Instead of Cutting Them 40:27 The Skills Gap in Education 42:29 Key Takeaways Resources: https://www.shrm.org/topics-tools/news/technology/ai-layoffs-transformation-scapegoathttps://www.linkedin.com/news/story/ceos-plan-to-reduce-junior-roles-8108505/https://www.forbes.com/sites/danrunkevicius/2026/05/20/meta-layoffs-signal-ai-bill-is-coming-due/https://fortune.com/2026/03/31/marc-andreessen-ai-layoffs-silver-bullet-excuse-overhiring/https://techcrunch.com/2026/05/19/openai-co-founder-andrej-karpathy-joins-anthropics-pre-training-team/https://www.bbc.co.uk/news/articles/cewpyv79pw1ohttps://www.deloitte.com/us/en/what-we-do/capabilities/applied-artificial-intelligence/content/state-of-ai-in-the-enterprise.htmlhttps://www.pymnts.com/artificial-intelligence-2/2026/jpmorgan-prioritizing-ai-hires-over-bankers/https://fortune.com/2026/05/22/microsoft-ai-cost-problem-early%20adoptr%20-agents/www.moneycontrol.com/technology/mark-zukerberg-s-leaked-viral-audio-clip-suggest-meta-is-tracking-employees-to-train-ai-article-13924715.htmlGet in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.

    53 分鐘

  8. 5月20日

    Happy Birthday to Us: The AI Landscape Changed Completely in a Year, Here's What You Missed

    A year in AI doesn't feel like a normal year, it feels like about five. In honour of Early Adoptr's first anniversary,  we thought it was worth stopping to take stock of what's changed in the last year. When we launched Early Adoptr, there was a pretty clear hierarchy, with ChatGPT was at the top, everyone else was catching up, and agents were something people talked about at conferences without anyone being entirely sure what they meant. Twelve months later, almost none of that is still true. In this episode, we take a proper look back at what actually changed. From the model landscape and the slow collapse of the "ChatGPT is the Google of AI" era, to reasoning becoming the baseline rather than the premium tier, to context windows going from a genuine operational headache to essentially a non-issue, the foundations shifted faster than most businesses could keep up with. We also get into what happened with agents once MCP — Model Context Protocol — gave them a shared language to work with, why agentic commerce looks completely different to how we predicted it would, what Answer Engine Optimisation means for any business that needs to be found online, and what has changed with the security picture once agents got access to real tools. We close out with a look ahead at what's actually worth paying attention to: outcome-based pricing, orchestrated multi-agent systems reaching smaller businesses, and what we're calling agent debt, the accumulating consequences of workflows that were built in a hurry and haven't been stress-tested yet. Thanks for being with us for the last year, and here's to the next 12 months! What You'll Learn Why reasoning models went from a premium add-on to the default , and what that shift enabled for agents and complex workflowsHow context windows grew from a operational constraint to a non-issue, and what that unlocks for businesses working with large volumes of documents, contracts, or correspondenceWhy smaller, more focused AI tools regularly outperform general-purpose models on the tasks they're built for, and what that means for how you structure your own stackWhat MCP actually solved — and why it's the reason agents went from demo-quality to deployable for non-technical teamsWhat the two-tier internet looks like in practice and why it mattersWhy ChatGPT's instant checkout failed commercially and what it tells us about how brands are learning to use AI for discoveryWhat AEO — Answer Engine Optimisation — means for any business that needs to be found onlineHow the security risk picture changed once agents got real access to real tools via MCPWhat agent debt isWhat outcome-based pricing means Resources and Links All previous episodes of Early Adoptr can be found here or via your podcast player of choice: https://shows.acast.com/early-adoptr Get in Touch: hello@earlyadoptr.ai TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr Timestamps: 00:00 What We've Been Up to This Week 04:14 One Year of Early Adoptr: What We Got Right (and Wrong) 06:27 The Model Landscape: Why ChatGPT Lost the Top Spot 11:01 AI Pricing Is Changing — and Your Bill Is Going Up 16:20 Context Windows: From Headache to Non-Issue 20:03 When Smaller Is Better: The Case for Specialist AI Tools 20:35 Use Cases for Small Language Models 22:53 gents: From Conference Buzzword to Actually Useful 29:02 What MCP Did for the Agent Ecosystem 31:29 Agentic Commerce and the Two-Tier Internet 37:55 How Brands Are Using AI for Discovery Without Losing the Customer 39:05 The Evolving Landscape of AI Security 44:17 The Shift in AI Risks and Management 48:26 From Subscriptions to Outcome-Based Pricing 50:22 AI Regulation, Memory, and the GDPR Question Nobody's Asking Yet 52:20 The Agent Debt Problem 56:12 Where Does AI Go From Here? Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.

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簡介

AI is moving fast. Most of the advice out there is written for developers, not for people actually running businesses. Early Adoptr is for founders and small business owners who want to use AI to get more done without needing a technical co-founder to explain it first. Each week, Jess and Kyle cut through the noise, test the tools, and show you what is actually worth your time. Practical, plain-English, and free of the hype. Whether you're just getting started with AI or you're already using tools like ChatGPT and want to go deeper, Early Adoptr meets you where you are. From automation workflows that save you hours every week, to the latest AI tools for marketing, operations, and customer service, we cover what actually works in the real world, not just in theory. Think of it as having two savvy friends who spend their weeks testing every new AI tool so you don't have to. Jess and Kyle bring together hands-on experience from the worlds of entrepreneurship, marketing, and technology to help you cut through the hype and find the innovations that move the needle for your business. No jargon. No gatekeeping. Just actionable advice for entrepreneurs who want to stay ahead of the curve and make AI their unfair advantage. New episodes every week. Subscribe wherever you listen to podcasts. Hosted on Acast. See acast.com/privacy for more information.

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