AI Industry Strategy
Vendor moves, compute economics, what each lab is betting on. Less product, more strategy — Anthropic compute shortages, OpenAI vs Anthropic vs Google bets, business-of-AI takes.
Andrej Karpathy Joins Anthropic: What It Signals About the AI Industry
Karpathy's move from OpenAI co-founder to Anthropic researcher is more than a job change. Here's what it reveals about the AI lab landscape in 2026.
How Google AI Search Mode Changes SEO and AEO for Content Creators
Google's AI mode is now default for millions of users. Learn how AI overviews affect organic traffic and what it means for your content strategy.
How to Sell AI Consulting Hours: The Ladder Framework for Starting an AI Business
Don't start by pitching retainers. Learn the rung-zero approach to selling AI consulting hours that builds trust, scope, and long-term client relationships.
OpenAI Solved a 78-Year-Old Math Problem: What It Means for AI Reasoning
An OpenAI general-purpose model disproved the Erdős unit distance conjecture. Learn what this cross-disciplinary breakthrough reveals about AI reasoning.
Google I/O 2026: Every Major AI Announcement and What It Means for Builders
Google I/O 2026 introduced Gemini Spark, Gemini Omni, Anti-Gravity 2.0, and a Universal Cart. Here's what every announcement means for AI builders.
What Is the Agentic Era? How Google I/O 2026 Defined the Next Phase of AI
Google I/O 2026 declared the agentic era: AI that acts, not just answers. Here's what that shift means for builders, businesses, and automation tools.
Anthropic's 2028 AI Leadership Essay: What It Means for AI Builders
Anthropic's essay outlines two scenarios for US-China AI competition by 2028. Here's what the compute, talent, and adoption arguments mean for builders.
What Is Anthropic's 2028 AI Leadership Essay? The Two Scenarios Explained
Anthropic published a concrete essay outlining two futures for US-China AI competition by 2028. Here's what it says, where it's right, and where it falls short.
How to Position Your Brand for AI Search: The Truth Layer Strategy
AI agents do the shopping now. Learn how to build a structured, provable truth layer so your product appears in AI-mediated searches and recommendations.
How to Use Google Pomelo to Create On-Brand Marketing Assets for Free
Google Pomelo scans your brand and generates social posts, ad creatives, and campaign ideas at no cost. Here's how to set it up and use it for your business.
What Is the Interpretation Economy? How AI Agents Are Replacing Search
The internet is shifting from attention to interpretation. Learn how AI agents now filter purchasing decisions and what it means for your business strategy.
What Is the Agent Harness? Why Scaffolding Matters More Than the Model
Cursor's research shows the same model scores 46% or 80% depending on the harness. Learn why your agent wrapper drives more performance than model choice.
How to Use AI Agents for Workflow Automation: The Build vs Buy vs Wait Framework
40% of agentic AI projects will fail by 2027. Use this five-lever framework—automate, build, buy, hire, wait—to make smarter AI investment decisions.
What Is the Investment Decision Matrix for AI Workflows? Build, Buy, Hire, or Wait?
Use a two-axis matrix—work specificity vs market maturity—to decide whether to build, buy primitives, hire, or wait on any AI workflow investment.
How to Build AI Workflows for Accounts Receivable: Invoice Chasing, Cash Application, and More
Accounts receivable has 8 distinct AI workflow shapes. Learn how to build targeted automations for invoice matching, collections, and dispute resolution.
Anthropic vs OpenAI Business Adoption in 2026: What the RAMP Data Shows
For the first time, Anthropic surpassed OpenAI in business adoption at 34.4% vs 32.3%. Here's what the data means and what's driving the shift.
What Is the Chief AI Officer Role? Why 76% of CEOs Are Hiring One in 2026
The CAIO role jumped from 26% to 76% adoption in two years. Learn what the role entails, who fills it, and how AI fluency is reshaping every department.
Why You Should Never Switch Models Mid-Conversation in AI Coding Agents
Switching models mid-task causes cache misses, context mismatches, and slower turns. Cursor's research explains why one model per session is the right call.
How to Use the Notion Developer Platform with AI Agents: CLI, Webhooks, and External Agents API
Notion's new developer platform lets AI agents read, write, and trigger actions in your workspace. Here's how to connect Claude or Codex to Notion.
What Is Thinking Machines Labs' Interaction Model? Real-Time AI with Time Awareness
Thinking Machines Labs' new interaction model offers real-time translation, time tracking, and simultaneous tool calls. Here's what it means for AI agents.
Agent Harness Engineering: Why Your Wrapper Matters More Than the Model
Cursor's research shows the same Claude model scores 46% vs 80% depending on harness design. Here's what harness engineering means and how to build better ones.
Anthropic's 2028 AI Leadership Essay: Two Scenarios for the US-China AI Race
Anthropic's essay outlines two futures: US maintains compute dominance or China catches up. Here's what the argument means for AI builders and enterprise teams.
Anthropic vs OpenAI Business Adoption in 2026: What the RAMP Data Shows
For the first time, Anthropic surpassed OpenAI in verified business customers. Here's what the RAMP spending data reveals about enterprise AI adoption trends.
Claude Co-work vs Claude Cloud Routines: Which Scheduled Agent Method Should You Use?
Claude Co-work scheduled tasks run on your machine; cloud routines run on Anthropic's infrastructure. Here's when to use each and what the limits are.