<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>IQ Source Blog — Digital Transformation &amp; AI</title><description>Articles on digital transformation, artificial intelligence, software development, and B2B business strategy.</description><link>https://www.iqsource.ai/</link><language>en</language><item><title>AI Killed Execution. The Bottleneck Is Now You.</title><link>https://www.iqsource.ai/en/blog/ai-killed-execution-bottleneck-is-you/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-killed-execution-bottleneck-is-you/</guid><description>Simon Willison is wiped out by 11am directing agents. Andreessen says execution is dead. The bottleneck your company faces just moved.</description><pubDate>Sat, 04 Apr 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>ai agents</category><category>simon-willison</category><category>technology leadership</category><category>agentic engineering</category><category>agent management</category><category>future of work</category><category>cognitive load</category></item><item><title>The AI Question Your CEO Can&apos;t Ask</title><link>https://www.iqsource.ai/en/blog/innovators-ai-dilemma-ceo-question/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/innovators-ai-dilemma-ceo-question/</guid><description>Cuban named the Innovator&apos;s AI Dilemma. His fix is right. But most CEOs can&apos;t even formulate the question his advice assumes they already know.</description><pubDate>Sat, 04 Apr 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI strategy</category><category>innovator&apos;s dilemma</category><category>digital transformation</category><category>CEO leadership</category><category>AI-native companies</category><category>Mark Cuban</category><category>enterprise AI</category></item><item><title>Your AI Feels Pressure. Your API Won&apos;t Tell You.</title><link>https://www.iqsource.ai/en/blog/ai-feels-pressure-api-wont-tell/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-feels-pressure-api-wont-tell/</guid><description>Anthropic found 171 internal emotion patterns in Claude. Desperation drives models to cheat on evals — with no trace in the output.</description><pubDate>Fri, 03 Apr 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI emotions</category><category>AI agents</category><category>AI monitoring</category><category>AI governance</category><category>Anthropic</category><category>AI safety</category><category>interpretability</category></item><item><title>Cost Was Your AI Guardrail. It Just Disappeared.</title><link>https://www.iqsource.ai/en/blog/cost-was-your-ai-guardrail/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/cost-was-your-ai-guardrail/</guid><description>Inference costs dropped 280x in 22 months. Budget friction was an invisible AI control. Without it, 75% of organizations have no explicit governance plan.</description><pubDate>Thu, 02 Apr 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI governance</category><category>AI costs</category><category>AI agents</category><category>enterprise risk</category><category>AI security</category><category>business strategy</category><category>inference economics</category></item><item><title>Block Fired 4,000. Then Published a Manifesto.</title><link>https://www.iqsource.ai/en/blog/block-fired-4000-published-manifesto/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/block-fired-4000-published-manifesto/</guid><description>Block cut 40% of its workforce in February. In March it published an essay on replacing hierarchy with AI. The timeline deserves questions.</description><pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI strategy</category><category>organizational design</category><category>Jack Dorsey</category><category>Block</category><category>middle management</category><category>AI layoffs</category><category>enterprise transformation</category></item><item><title>Mercor Breach: 4 TB of Biometric Data You Can&apos;t Rotate</title><link>https://www.iqsource.ai/en/blog/mercor-breach-biometric-data-cant-rotate/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/mercor-breach-biometric-data-cant-rotate/</guid><description>Mercor, the $10B AI startup training models for OpenAI and Anthropic, fell to the LiteLLM supply chain attack. Lapsus$ claims video interviews, face scans, and passports from 30,000+ contractors.</description><pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>AI security</category><category>software supply chain</category><category>biometric data</category><category>Mercor</category><category>LiteLLM</category><category>incident response</category><category>data privacy</category></item><item><title>npm&apos;s Worst Day: One Attack, One Leak, Zero Trust</title><link>https://www.iqsource.ai/en/blog/npm-worst-day-axios-claude-code-leak/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/npm-worst-day-axios-claude-code-leak/</guid><description>Axios was hijacked to deploy a RAT. Claude Code&apos;s source leaked via source maps. Same registry, same day — two failure modes your team needs to understand.</description><pubDate>Tue, 31 Mar 2026 00:00:00 GMT</pubDate><category>software-development</category><category>npm security</category><category>supply chain attack</category><category>axios</category><category>Claude Code</category><category>source maps</category><category>dependency management</category><category>build pipeline security</category></item><item><title>The Prompt Is Temporary. The Eval Is Permanent.</title><link>https://www.iqsource.ai/en/blog/ai-evals-compounding-asset/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-evals-compounding-asset/</guid><description>Top AI companies run 12.8 eval experiments daily. Most B2B companies run zero. Evals compound with every model change. Prompts start over.</description><pubDate>Mon, 30 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI evals</category><category>prompt engineering</category><category>AI investment</category><category>compounding advantage</category><category>enterprise AI strategy</category><category>AI governance</category><category>Braintrust</category></item><item><title>Your AI Never Disagrees With You. That&apos;s the Risk.</title><link>https://www.iqsource.ai/en/blog/ai-sycophancy-enterprise-decisions/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-sycophancy-enterprise-decisions/</guid><description>Stanford measured 58% sycophancy in leading AI models. Andrej Karpathy discovered the same thing. What this means for your enterprise decisions.</description><pubDate>Sun, 29 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI sycophancy</category><category>enterprise decisions</category><category>Andrej Karpathy</category><category>AI governance</category><category>vendor evaluation</category><category>critical thinking</category><category>AI risk</category></item><item><title>Your Company Buys AI. That&apos;s Not Playing Offense.</title><link>https://www.iqsource.ai/en/blog/buying-ai-not-playing-offense/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/buying-ai-not-playing-offense/</guid><description>Alfred Lin says the risk is moving too slowly. But buying AI tools isn&apos;t velocity — it&apos;s checking the box. What you need before you can actually play offense.</description><pubDate>Sun, 29 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI strategy</category><category>AI adoption</category><category>velocity vs speed</category><category>data infrastructure</category><category>AI fluency</category><category>AI investment</category><category>Sequoia Capital</category></item><item><title>Anthropic Leaked Mythos: Your Trust Model Just Changed</title><link>https://www.iqsource.ai/en/blog/claude-mythos-leak-ai-vendor-trust/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/claude-mythos-leak-ai-vendor-trust/</guid><description>Anthropic exposed ~3,000 internal documents through a CMS error, including Claude Mythos, their most advanced model. What changes for your AI strategy.</description><pubDate>Sat, 28 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>Anthropic Claude</category><category>data leak</category><category>enterprise trust</category><category>cybersecurity</category><category>AI vendor evaluation</category><category>AI governance</category><category>enterprise security</category></item><item><title>Silicon Valley discovered what Main Street already knew</title><link>https://www.iqsource.ai/en/blog/ai-installer-economy-silicon-valley/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-installer-economy-silicon-valley/</guid><description>54% of SMBs lack AI expertise and 41% prefer local providers. The data confirms: the real money in AI is in the installation.</description><pubDate>Fri, 27 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>installer economy</category><category>AI implementation</category><category>SMBs and AI</category><category>AI services</category><category>change management</category><category>Jason Shuman</category><category>Aaron Levie</category></item><item><title>AI Removes the Filter: Neurodivergence and Hidden Talent</title><link>https://www.iqsource.ai/en/blog/neurodivergent-talent-ai-filter/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/neurodivergent-talent-ai-filter/</guid><description>15-20% of your talent pool thinks differently. AI removes the barriers that excluded them. Companies that don&apos;t redesign their pipeline lose their best performers.</description><pubDate>Fri, 27 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>neurodivergence</category><category>talent strategy</category><category>hiring</category><category>productivity</category><category>artificial intelligence</category><category>workplace inclusion</category><category>Alex Karp</category></item><item><title>The Ice Cracked. Which Side Is Your Company On?</title><link>https://www.iqsource.ai/en/blog/ice-cracked-ai-integration-revenue/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ice-cracked-ai-integration-revenue/</guid><description>Ramp data: top AI spenders doubled revenue since 2023. The difference isn&apos;t which model — it&apos;s how deeply AI lives inside operations.</description><pubDate>Thu, 26 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI adoption</category><category>enterprise AI strategy</category><category>AI integration</category><category>Anthropic Claude</category><category>MCP</category><category>AI revenue impact</category><category>workflow automation</category></item><item><title>LiteLLM Attack: Your AI Trust Chain Just Broke</title><link>https://www.iqsource.ai/en/blog/litellm-attack-ai-trust-chain-broken/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/litellm-attack-ai-trust-chain-broken/</guid><description>LiteLLM, the AI API key proxy with 97 million monthly downloads, was poisoned via PyPI. Your security scanner was the entry point.</description><pubDate>Wed, 25 Mar 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>AI security</category><category>software supply chain</category><category>LiteLLM</category><category>credential management</category><category>AI governance</category><category>PyPI</category><category>AI infrastructure</category></item><item><title>Your AI Investment Needs a Learning Curve Strategy</title><link>https://www.iqsource.ai/en/blog/ai-learning-curves-iteration-strategy/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-learning-curves-iteration-strategy/</guid><description>Anthropic analyzed how AI usage changes with experience. Veteran users hit 73% task success vs 67% for newcomers. The difference: iteration, not better tools.</description><pubDate>Wed, 25 Mar 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>AI learning curves</category><category>AI adoption</category><category>AI iteration</category><category>Anthropic research</category><category>AI productivity</category><category>AI strategy</category><category>AI training</category></item><item><title>We&apos;re AI Consultants. Sometimes We Say: Don&apos;t Use AI</title><link>https://www.iqsource.ai/en/blog/when-ai-is-wrong-answer/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/when-ai-is-wrong-answer/</guid><description>An AI consultancy telling clients &apos;skip the AI&apos; sounds contradictory. But it&apos;s the most valuable thing we do.</description><pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI strategy</category><category>decision making</category><category>AI ROI</category><category>enterprise automation</category><category>technology consulting</category><category>AI alternatives</category><category>AI projects</category></item><item><title>The 100x Employee Already Exists (And Changes How You Hire)</title><link>https://www.iqsource.ai/en/blog/100x-employee-ai-hiring/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/100x-employee-ai-hiring/</guid><description>One AI-literate professional now produces what used to take a team. Jensen Huang confirmed it at GTC 2026. Here&apos;s what it means for your hiring strategy.</description><pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>artificial intelligence</category><category>talent</category><category>hiring</category><category>productivity</category><category>jensen huang</category><category>workforce transformation</category><category>ai agents</category></item><item><title>Anthropic Uses Salesforce. Why Don&apos;t You?</title><link>https://www.iqsource.ai/en/blog/ai-companies-buy-saas-build-vs-buy/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-companies-buy-saas-build-vs-buy/</guid><description>The most advanced AI companies buy SaaS instead of building it. A framework for deciding when to build and when to buy.</description><pubDate>Mon, 23 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>build vs buy</category><category>technology strategy</category><category>enterprise SaaS</category><category>total cost of ownership</category><category>vibe coding</category><category>decision making</category><category>CRM</category></item><item><title>Claude Certified Architect: The Signal You Should Read</title><link>https://www.iqsource.ai/en/blog/claude-certified-architect-enterprise-signal/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/claude-certified-architect-enterprise-signal/</guid><description>Anthropic launched its first technical certification and the biggest consulting firms already moved. What this means for B2B companies.</description><pubDate>Sun, 22 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI certification</category><category>Claude</category><category>Anthropic</category><category>enterprise strategy</category><category>tech talent</category><category>AI architecture</category><category>enterprise adoption</category></item><item><title>When Every AI Idea Looks Good, Judgment Is What Ships</title><link>https://www.iqsource.ai/en/blog/ai-judgment-conviction-cycle/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-judgment-conviction-cycle/</guid><description>AI generates more ideas than any team can evaluate. How B2B leaders build conviction to filter, commit, and ship the right ones.</description><pubDate>Sat, 21 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI strategy</category><category>product judgment</category><category>conviction cycle</category><category>B2B decision making</category><category>idea management</category><category>technology leadership</category><category>strategic prioritization</category></item><item><title>Jensen Huang Said It in Two Words: Your Moat Is Knowing More</title><link>https://www.iqsource.ai/en/blog/vertical-specialization-ai-moat-jensen-huang/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/vertical-specialization-ai-moat-jensen-huang/</guid><description>Jensen Huang confirms that AI competitive advantage isn&apos;t about models — it&apos;s vertical specialization. What that means for B2B company leaders.</description><pubDate>Sat, 21 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI strategy</category><category>vertical specialization</category><category>competitive advantage</category><category>Jensen Huang</category><category>AI agents</category><category>technology leadership</category><category>AI investment</category></item><item><title>Google Stitch + AI Studio: Design-to-Code Without Engineers</title><link>https://www.iqsource.ai/en/blog/google-stitch-vibe-design-coding-pipeline/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/google-stitch-vibe-design-coding-pipeline/</guid><description>Google shipped a full design-to-production pipeline with Stitch and AI Studio. Where it works for B2B prototypes and where you still need real engineering.</description><pubDate>Fri, 20 Mar 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>Google Stitch</category><category>vibe coding</category><category>vibe design</category><category>AI Studio</category><category>Firebase</category><category>AI prototyping</category><category>development automation</category></item><item><title>The Software Lifecycle Collapsed. Your Process Didn&apos;t.</title><link>https://www.iqsource.ai/en/blog/sdlc-collapsed-development-process-obsolete/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/sdlc-collapsed-development-process-obsolete/</guid><description>Karpathy codes in English, 100% of Nvidia uses AI coding tools, Boris Cherny hasn&apos;t coded in months. The SDLC collapsed. What replaces it now.</description><pubDate>Thu, 19 Mar 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>software development lifecycle</category><category>SDLC</category><category>AI coding agents</category><category>context engineering</category><category>agile methodology</category><category>development automation</category><category>technology leadership</category></item><item><title>Your AI Investments Have an Expiration Date (2026)</title><link>https://www.iqsource.ai/en/blog/ai-investment-expiration-date/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-investment-expiration-date/</guid><description>Fine-tuning, RAG, and prompt engineering depreciate with each new model. Which AI investments hold value and a concrete filter to decide before you spend.</description><pubDate>Thu, 19 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI investment</category><category>fine-tuning</category><category>RAG</category><category>prompt engineering</category><category>enterprise strategy</category><category>model-agnostic architecture</category><category>technology obsolescence</category></item><item><title>Deloitte: 60% Have AI, Only 34% Transform Anything</title><link>https://www.iqsource.ai/en/blog/deloitte-ai-activation-gap-enterprise/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/deloitte-ai-activation-gap-enterprise/</guid><description>Deloitte surveyed 3,235 C-suite leaders: 60% have AI access, but only 34% transform real processes. The bottleneck isn&apos;t technology anymore.</description><pubDate>Wed, 18 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI adoption</category><category>business strategy</category><category>AI governance</category><category>AI agents</category><category>digital transformation</category><category>talent and AI</category><category>Deloitte</category></item><item><title>From Cassette Tapes to AI: 36 Years of Learning</title><link>https://www.iqsource.ai/en/blog/from-cassette-tapes-to-ai-36-years/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/from-cassette-tapes-to-ai-36-years/</guid><description>At 14, I saved code to cassette tapes. At 15, I co-founded a software company. Google disrupted us. Today I run IQ Source. This is that story.</description><pubDate>Wed, 18 Mar 2026 00:00:00 GMT</pubDate><category>digital-transformation</category><category>personal story</category><category>digital transformation</category><category>tech leadership</category><category>career in technology</category><category>technology cycles</category><category>startup founder</category><category>B2B technology</category></item><item><title>Uber: 70% of Code Is AI. Your Team Hasn&apos;t Changed</title><link>https://www.iqsource.ai/en/blog/uber-ai-code-agent-orchestration/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/uber-ai-code-agent-orchestration/</guid><description>Uber: 92% of engineers use AI agents monthly, ~70% of code is AI-generated, 11% of PRs ship with no human author. What this means for your B2B team.</description><pubDate>Tue, 17 Mar 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>software engineering</category><category>AI coding agents</category><category>AI adoption</category><category>engineering productivity</category><category>talent strategy</category><category>development automation</category><category>technology leadership</category></item><item><title>Karpathy&apos;s AI Exposure Map: All 342 Occupations Scored</title><link>https://www.iqsource.ai/en/blog/karpathy-ai-exposure-map-342-occupations/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/karpathy-ai-exposure-map-342-occupations/</guid><description>Karpathy scored 342 occupations 0-10 on AI exposure. $3.7 trillion in wages in the high-impact zone. What this map means for your enterprise strategy.</description><pubDate>Mon, 16 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI exposure</category><category>talent strategy</category><category>Andrej Karpathy</category><category>enterprise automation</category><category>labor market</category><category>workforce planning</category><category>business strategy</category></item><item><title>AI Is Infrastructure, Not Just Another Tool</title><link>https://www.iqsource.ai/en/blog/ai-as-infrastructure-not-a-tool/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-as-infrastructure-not-a-tool/</guid><description>Jeff Bezos compares AI to electricity at NYT DealBook 2024. What that means for B2B companies and why isolated AI pilots are already obsolete.</description><pubDate>Mon, 16 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>artificial-intelligence</category><category>business-strategy</category><category>digital-transformation</category><category>jeff-bezos</category><category>ai-infrastructure</category><category>b2b-enterprise</category><category>ai-adoption</category></item><item><title>The Hidden Cost Lever in Enterprise AI: Timing</title><link>https://www.iqsource.ai/en/blog/hidden-cost-lever-enterprise-ai-timing/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/hidden-cost-lever-enterprise-ai-timing/</guid><description>Batch APIs, prompt caching, and off-peak scheduling can cut enterprise AI costs 40-70%. The math behind when and how you call your models.</description><pubDate>Sun, 15 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI costs</category><category>batch API</category><category>prompt caching</category><category>enterprise AI</category><category>API optimization</category><category>cost reduction</category><category>AI operations</category></item><item><title>Your Next Executive Assistant Is an AI System</title><link>https://www.iqsource.ai/en/blog/executive-personal-ai-systems/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/executive-personal-ai-systems/</guid><description>Pendo&apos;s CPO ($2.6B) monitors 45 enterprise deals without attending pipeline reviews. The architecture behind personal AI systems for executive leaders.</description><pubDate>Sat, 14 Mar 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>AI agents</category><category>executive productivity</category><category>enterprise automation</category><category>deal management</category><category>Claude Code</category><category>personal systems</category><category>AI leadership</category></item><item><title>Your Code Review Was Built for Humans. 41% of Code Isn&apos;t</title><link>https://www.iqsource.ai/en/blog/ai-code-review-quality-governance/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-code-review-quality-governance/</guid><description>41% of code shipped in 2025 was AI-generated, with a 1.7x higher defect rate. Your review process assumes the author understands the code. That&apos;s over.</description><pubDate>Sat, 14 Mar 2026 00:00:00 GMT</pubDate><category>software-development</category><category>code quality</category><category>code review</category><category>AI-generated code</category><category>software governance</category><category>CI/CD</category><category>development processes</category><category>technical debt</category></item><item><title>Shopify and Anthropic: AI Agents in Real Production</title><link>https://www.iqsource.ai/en/blog/shopify-anthropic-ai-agents-production/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/shopify-anthropic-ai-agents-production/</guid><description>Shopify&apos;s CEO got 53% faster Liquid rendering via autoresearch. Anthropic runs 6 marketing channels with one person. From theory to production numbers.</description><pubDate>Fri, 13 Mar 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>AI agents</category><category>enterprise automation</category><category>Shopify</category><category>Anthropic</category><category>autoresearch</category><category>AI operations</category><category>production results</category></item><item><title>Your AI Agent Is Free. Deploying It to Production Isn&apos;t.</title><link>https://www.iqsource.ai/en/blog/heroku-pattern-ai-agent-deployment/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/heroku-pattern-ai-agent-deployment/</guid><description>Every open-source AI agent framework needs infrastructure to run. How to decide between self-hosting, managed platforms, and working with a technical partner.</description><pubDate>Fri, 13 Mar 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>AI agents</category><category>infrastructure</category><category>deployment</category><category>open-source</category><category>managed platforms</category><category>security</category><category>technology evaluation</category></item><item><title>What Your AI Won&apos;t Ask (and Your Startup Will Pay)</title><link>https://www.iqsource.ai/en/blog/ai-questions-not-asked-mvp-cost/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-questions-not-asked-mvp-cost/</guid><description>A founder lost $87,500 because his AI generated working code without questioning security. AI tools answer what you ask, not what&apos;s missing.</description><pubDate>Thu, 12 Mar 2026 00:00:00 GMT</pubDate><category>software-development</category><category>vibe coding</category><category>software security</category><category>startups</category><category>code review</category><category>MVP</category><category>AI development</category><category>security audit</category></item><item><title>Services Are the New Software: the Sequoia Thesis</title><link>https://www.iqsource.ai/en/blog/services-new-software-sequoia-latam/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/services-new-software-sequoia-latam/</guid><description>Sequoia Capital bets the next trillion-dollar company sells outcomes, not tools. Latin America has a key advantage in the shift from software to services.</description><pubDate>Thu, 12 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI services</category><category>Sequoia Capital</category><category>Latin America</category><category>enterprise automation</category><category>AI agents</category><category>business strategy</category><category>services vs software</category></item><item><title>Context Engineering: How to Feed Your AI Agents</title><link>https://www.iqsource.ai/en/blog/context-engineering-ai-agents/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/context-engineering-ai-agents/</guid><description>The context window is limited. What you put in — and what you leave out — determines whether your AI agent solves problems or hallucinates. Practical guide.</description><pubDate>Wed, 11 Mar 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>context engineering</category><category>AI agents</category><category>context window</category><category>enterprise automation</category><category>enterprise prompts</category><category>agent architecture</category><category>artificial intelligence</category></item><item><title>Perplexity Computer and the End of the Marketing Stack</title><link>https://www.iqsource.ai/en/blog/perplexity-computer-martech-replacement/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/perplexity-computer-martech-replacement/</guid><description>Perplexity says a $200/month agent replaced $225K in marketing tools. What&apos;s real, what&apos;s marketing, and what changes for mid-market companies.</description><pubDate>Tue, 10 Mar 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>AI agents</category><category>marketing automation</category><category>MarTech</category><category>Perplexity</category><category>tool consolidation</category><category>AI ROI</category><category>technology strategy</category></item><item><title>If I were Monge, Campero, Caracol Knits or Super Selectos</title><link>https://www.iqsource.ai/en/blog/autonomous-loops-latin-american-companies/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/autonomous-loops-latin-american-companies/</guid><description>What autonomous AI loops would look like at Grupo Monge, Pollo Campero, Caracol Knits, El Latino Foods, and Super Selectos. Five countries, five industries.</description><pubDate>Mon, 09 Mar 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>autonomous iteration</category><category>artificial intelligence</category><category>enterprise automation</category><category>AI agents</category><category>Latin American business</category><category>process optimization</category><category>B2B operations</category><category>supermarkets</category></item><item><title>Autonomous Research: What Autoresearch Reveals</title><link>https://www.iqsource.ai/en/blog/autoresearch-autonomous-agents-trend/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/autoresearch-autonomous-agents-trend/</guid><description>Karpathy released autoresearch: 630 lines of code running 100 AI experiments per night with zero humans. What this signals for B2B operations.</description><pubDate>Sun, 08 Mar 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>artificial intelligence</category><category>autonomous agents</category><category>AI research automation</category><category>enterprise automation</category><category>Andrej Karpathy</category><category>B2B operations</category><category>autonomous experimentation</category></item><item><title>Context Windows That Actually Work</title><link>https://www.iqsource.ai/en/blog/context-windows-that-actually-work/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/context-windows-that-actually-work/</guid><description>Context window size is a marketing number. What matters is how much information the model actually retains. Real data and practical B2B guide.</description><pubDate>Sat, 07 Mar 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>artificial intelligence</category><category>context window</category><category>context rot</category><category>RAG</category><category>enterprise automation</category><category>AI agents</category><category>language models</category></item><item><title>95% of AI&apos;s Potential Is Untapped: Here&apos;s Why</title><link>https://www.iqsource.ai/en/blog/ai-utilization-gap-95-percent/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-utilization-gap-95-percent/</guid><description>Anthropic&apos;s data shows companies use just 5% of AI&apos;s real potential. Palantir&apos;s Alex Karp explains why: missing operational integration, not missing technology.</description><pubDate>Fri, 06 Mar 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>artificial intelligence</category><category>AI adoption</category><category>enterprise automation</category><category>AI strategy</category><category>B2B operations</category><category>systems integration</category><category>digital transformation</category></item><item><title>Google Workspace CLI: Your AI Agents Just Got Access</title><link>https://www.iqsource.ai/en/blog/google-workspace-cli-ai-agents/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/google-workspace-cli-ai-agents/</guid><description>Google just opened every Workspace API to AI agents via an open-source CLI. What works today, where the risks are, and how to prepare your B2B operation.</description><pubDate>Thu, 05 Mar 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>Google Workspace CLI</category><category>AI agents</category><category>enterprise automation</category><category>MCP</category><category>Google Cloud AI</category><category>API integration</category><category>B2B operations</category></item><item><title>The Cheap Model Trap: How AI Providers Capture Ecosystems</title><link>https://www.iqsource.ai/en/blog/efficiency-tier-ai-ecosystem-capture/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/efficiency-tier-ai-ecosystem-capture/</guid><description>Google at $0.25/M tokens, OpenAI at $0.05/M. Not charity — it&apos;s platform capture applied to AI. What the pricing war means for your B2B independence.</description><pubDate>Wed, 04 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI strategy</category><category>vendor lock-in</category><category>AI costs</category><category>Google Gemini</category><category>OpenAI</category><category>enterprise architecture</category><category>vendor selection</category></item><item><title>Your AI Agent Directory Is Not an Org Chart</title><link>https://www.iqsource.ai/en/blog/agent-directory-vs-org-chart/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/agent-directory-vs-org-chart/</guid><description>A folder of .md files works for solo builders. But &quot;the org chart is dead&quot; is wrong — and believing it will cost you. Here&apos;s when agent directories work.</description><pubDate>Tue, 03 Mar 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>AI agents</category><category>AI org structure</category><category>enterprise automation</category><category>agent security</category><category>B2B operations</category><category>artificial intelligence</category><category>technology decisions</category></item><item><title>The $570K Engineer Paradox: What It Means for Your Team</title><link>https://www.iqsource.ai/en/blog/ai-engineering-bifurcation-talent-strategy/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-engineering-bifurcation-talent-strategy/</guid><description>Anthropic pays $570K median for engineers building tools that replace junior devs. Stanford/ADP data shows 20% fewer entry-level roles since 2022.</description><pubDate>Mon, 02 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>engineering strategy</category><category>AI displacement</category><category>talent strategy</category><category>technology leadership</category><category>software development</category><category>business strategy</category><category>AI adoption</category></item><item><title>The AI Agent Maestro: a Role, Not a Job Title</title><link>https://www.iqsource.ai/en/blog/ai-maestro-agent-operators/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-maestro-agent-operators/</guid><description>Jason Calacanis calls the &apos;AI agent maestro&apos; the job nobody sees coming. At IQ Source, we&apos;ve been doing it. What operating AI agents actually looks like.</description><pubDate>Sun, 01 Mar 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>AI agents</category><category>AI operations</category><category>enterprise automation</category><category>All-In Podcast</category><category>agent management</category><category>business processes</category><category>artificial intelligence</category></item><item><title>When Free Tools Stop Being Free</title><link>https://www.iqsource.ai/en/blog/free-tools-hidden-costs-startup-scale/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/free-tools-hidden-costs-startup-scale/</guid><description>That viral startup stack works — until your first enterprise deal requires SOC 2 compliance. Here&apos;s where free tools hit walls and what to do before they do.</description><pubDate>Sun, 01 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>technology strategy</category><category>startup scaling</category><category>vendor lock-in</category><category>security</category><category>cost of ownership</category><category>enterprise architecture</category><category>digital transformation</category></item><item><title>Google&apos;s AI Ecosystem: What Works for B2B, What Doesn&apos;t</title><link>https://www.iqsource.ai/en/blog/google-ai-ecosystem-b2b-evaluation/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/google-ai-ecosystem-b2b-evaluation/</guid><description>Vertex AI, Gemini, BigQuery ML, Document AI: practical guide to evaluating which Google AI tools fit your B2B operation and which ones you can skip.</description><pubDate>Sun, 01 Mar 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>Google Cloud AI</category><category>Vertex AI</category><category>Gemini</category><category>vendor evaluation</category><category>enterprise strategy</category><category>artificial intelligence</category><category>AI adoption</category></item><item><title>Open-Source AI and Vibe Coding: Risks Your CTO Ignores</title><link>https://www.iqsource.ai/en/blog/open-source-ai-vibe-coding-risks-enterprises/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/open-source-ai-vibe-coding-risks-enterprises/</guid><description>NullClaw is impressive, but shipping open-source AI tools and unsupervised generated code to production has hidden costs. What to evaluate before you adopt.</description><pubDate>Sat, 28 Feb 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>open-source AI</category><category>vibe coding</category><category>enterprise security</category><category>risk management</category><category>AI-generated code</category><category>technology evaluation</category><category>software governance</category></item><item><title>Claude Cowork: AI on Every Employee&apos;s Desktop</title><link>https://www.iqsource.ai/en/blog/claude-cowork-ai-desktop-assistant-enterprises/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/claude-cowork-ai-desktop-assistant-enterprises/</guid><description>Anthropic launched Claude Cowork with plugins for operations, finance, and HR. What it means for B2B companies and how to get ready.</description><pubDate>Fri, 27 Feb 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>Claude Cowork</category><category>AI assistant</category><category>enterprise automation</category><category>productivity</category><category>SaaS</category><category>artificial intelligence</category><category>B2B operations</category></item><item><title>AI Agents This Week: Products, Acquisitions, and Risks</title><link>https://www.iqsource.ai/en/blog/ai-agents-week-products-acquisitions-risks/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-agents-week-products-acquisitions-risks/</guid><description>Perplexity Computer, Anthropic acquires Vercept, the OpenClaw security crisis, and NIST agent standards. What these stories mean for your B2B company.</description><pubDate>Thu, 26 Feb 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>AI agents</category><category>Perplexity Computer</category><category>AI security</category><category>Anthropic</category><category>NIST</category><category>enterprise automation</category><category>OpenClaw</category></item><item><title>IBM Lost $31 Billion: the COBOL Monopoly Is Ending</title><link>https://www.iqsource.ai/en/blog/ibm-cobol-ai-modernization/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ibm-cobol-ai-modernization/</guid><description>IBM stock dropped 13% after Anthropic&apos;s COBOL modernization announcement. What this means for enterprises running legacy mainframe systems and what to do next.</description><pubDate>Wed, 25 Feb 2026 00:00:00 GMT</pubDate><category>digital-transformation</category><category>COBOL</category><category>legacy modernization</category><category>IBM</category><category>mainframe</category><category>artificial intelligence</category><category>system migration</category><category>digital transformation</category></item><item><title>WebMCP: Your Website Talks to AI Agents Now</title><link>https://www.iqsource.ai/en/blog/webmcp-standard-ai-agents/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/webmcp-standard-ai-agents/</guid><description>WebMCP is the W3C protocol that lets AI agents use your site&apos;s features directly — no scraping, no screenshots. Here&apos;s how it works and why it matters.</description><pubDate>Wed, 25 Feb 2026 00:00:00 GMT</pubDate><category>software-development</category><category>WebMCP</category><category>AI agents</category><category>web protocol</category><category>Chrome</category><category>MCP</category><category>Google</category><category>W3C</category></item><item><title>Your AI Is a Character: What It Means for Your Business</title><link>https://www.iqsource.ai/en/blog/ai-persona-selection-model-enterprise/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-persona-selection-model-enterprise/</guid><description>AI assistants are characters shaped during training. Anthropic explains why this changes how you should configure and govern AI in your company.</description><pubDate>Tue, 24 Feb 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI psychology</category><category>AI governance</category><category>model configuration</category><category>Anthropic research</category><category>system prompts</category><category>AI agents</category><category>AI alignment</category></item><item><title>Your Team Uses AI Wrong (and Research Proves It)</title><link>https://www.iqsource.ai/en/blog/ai-fluency-gap-team-skills/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-fluency-gap-team-skills/</guid><description>Anthropic analyzed 9,830 AI conversations. Iteration doubles output quality, but teams accept first responses uncritically. How to fix this at your company.</description><pubDate>Mon, 23 Feb 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>AI fluency</category><category>AI adoption</category><category>AI productivity</category><category>AI training</category><category>human-AI interaction</category><category>Anthropic research</category><category>B2B teams</category></item><item><title>Enterprise AI Economics Changed in 2026</title><link>https://www.iqsource.ai/en/blog/enterprise-ai-economics-2026/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/enterprise-ai-economics-2026/</guid><description>Frontier AI models dropped from $15 to $3 per million tokens. With million-token context windows, projects that didn&apos;t pencil out a year ago are now viable.</description><pubDate>Sun, 22 Feb 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>AI economics</category><category>business strategy</category><category>language models</category><category>AI costs</category><category>digital transformation</category><category>artificial intelligence</category><category>AI adoption</category></item><item><title>AI Code Security: What Your Traditional Scanner Misses</title><link>https://www.iqsource.ai/en/blog/ai-code-security-enterprise/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-code-security-enterprise/</guid><description>Static scanners catch known patterns but miss context-dependent vulnerabilities. How AI-powered code analysis closes the gap for mid-market companies.</description><pubDate>Sat, 21 Feb 2026 00:00:00 GMT</pubDate><category>software-development</category><category>code security</category><category>vulnerability analysis</category><category>artificial intelligence</category><category>software development</category><category>code audit</category><category>cybersecurity</category><category>DevSecOps</category></item><item><title>YouTube Recipes vs. the Chef: AI Agents and Real Software</title><link>https://www.iqsource.ai/en/blog/youtube-recipes-vs-professional-software-development/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/youtube-recipes-vs-professional-software-development/</guid><description>Can AI agents replace professional software development? The difference between following a YouTube recipe and cooking for 200 people, applied to your business.</description><pubDate>Fri, 20 Feb 2026 00:00:00 GMT</pubDate><category>software-development</category><category>software development</category><category>AI agents</category><category>no-code</category><category>enterprise software</category><category>software architecture</category><category>technology strategy</category><category>B2B</category></item><item><title>AI Agents in Enterprise Ops: A Practical Playbook</title><link>https://www.iqsource.ai/en/blog/ai-agents-enterprise-operations-playbook/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-agents-enterprise-operations-playbook/</guid><description>A practical playbook for deploying AI agents in procurement, customer service, and compliance — with frameworks to bridge the demo-to-production gap.</description><pubDate>Thu, 19 Feb 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>AI agents</category><category>enterprise automation</category><category>B2B operations</category><category>artificial intelligence</category><category>digital transformation</category><category>productivity</category><category>systems integration</category></item><item><title>AI Beyond Engineering: A Guide for Every B2B Team</title><link>https://www.iqsource.ai/en/blog/ai-beyond-engineering-department-guide-b2b/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-beyond-engineering-department-guide-b2b/</guid><description>AI isn&apos;t just for developers. Specific playbooks for Marketing, Finance, Sales, HR, and Operations with 90-day adoption plans for each team.</description><pubDate>Thu, 19 Feb 2026 00:00:00 GMT</pubDate><category>digital-transformation</category><category>AI adoption</category><category>digital transformation</category><category>enterprise productivity</category><category>process automation</category><category>change management</category><category>B2B teams</category><category>business strategy</category></item><item><title>AI-Powered Business Intelligence: Beyond Dashboards</title><link>https://www.iqsource.ai/en/blog/ai-powered-business-intelligence-dashboards-b2b/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-powered-business-intelligence-dashboards-b2b/</guid><description>Traditional BI shows what happened. AI tells you what to do next. A 4-level framework to upgrade from static dashboards to autonomous decision engines.</description><pubDate>Thu, 19 Feb 2026 00:00:00 GMT</pubDate><category>data-analytics</category><category>business intelligence</category><category>dashboards</category><category>data analytics</category><category>AI for B2B</category><category>decision making</category><category>analytics</category><category>data visualization</category></item><item><title>AI Vendor Selection for B2B: Trust and Data Privacy</title><link>https://www.iqsource.ai/en/blog/ai-vendor-selection-b2b-trust-data-privacy/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/ai-vendor-selection-b2b-trust-data-privacy/</guid><description>12 critical questions to ask before choosing an AI vendor. Covers trust evaluation, data governance, and privacy protection for B2B decisions.</description><pubDate>Thu, 19 Feb 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>vendor selection</category><category>data privacy</category><category>AI governance</category><category>enterprise trust</category><category>vendor evaluation</category><category>regulatory compliance</category><category>data security</category></item><item><title>Enterprise API Strategy: Making AI Integration Work</title><link>https://www.iqsource.ai/en/blog/enterprise-api-strategy-ai-integration/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/enterprise-api-strategy-ai-integration/</guid><description>Gartner: 30% of AI projects fail after proof of concept — integration is the cause. A technical guide on API architecture, MCP servers, and legacy connectors.</description><pubDate>Thu, 19 Feb 2026 00:00:00 GMT</pubDate><category>software-development</category><category>enterprise APIs</category><category>systems integration</category><category>software architecture</category><category>MCP servers</category><category>legacy systems</category><category>artificial intelligence</category><category>microservices</category></item><item><title>Why Mid-Market Companies Need a Fractional CTO Now</title><link>https://www.iqsource.ai/en/blog/fractional-cto-mid-market-companies-ai/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/fractional-cto-mid-market-companies-ai/</guid><description>Mid-market companies face high-stakes AI, security, and modernization decisions but can&apos;t justify a $200K CTO. A fractional CTO fills that gap.</description><pubDate>Thu, 19 Feb 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>fractional CTO</category><category>technology leadership</category><category>mid-market companies</category><category>AI strategy</category><category>digital transformation</category><category>technology consulting</category></item><item><title>How to Implement AI in Your B2B Company: A Practical Guide</title><link>https://www.iqsource.ai/en/blog/how-to-implement-ai/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/how-to-implement-ai/</guid><description>Concrete steps for implementing AI in B2B operations: from picking the right use case to measuring results in the first 90 days.</description><pubDate>Sun, 15 Feb 2026 00:00:00 GMT</pubDate><category>ai-automation</category><category>artificial intelligence</category><category>digital transformation</category><category>automation</category><category>B2B</category><category>enterprise software</category><category>business strategy</category><category>AI implementation</category></item><item><title>How to Modernize Legacy Systems Without Disruption</title><link>https://www.iqsource.ai/en/blog/legacy-system-modernization/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/legacy-system-modernization/</guid><description>Proven strategies for modernizing legacy systems in B2B companies. Learn when it&apos;s time to migrate, what options are available, and how to minimize risk.</description><pubDate>Tue, 10 Feb 2026 00:00:00 GMT</pubDate><category>digital-transformation</category><category>legacy</category><category>modernization</category><category>migration</category><category>architecture</category><category>digital transformation</category><category>enterprise software</category><category>B2B</category></item><item><title>Digital Transformation for B2B Companies: 2026 Guide</title><link>https://www.iqsource.ai/en/blog/b2b-digital-transformation-guide/</link><guid isPermaLink="true">https://www.iqsource.ai/en/blog/b2b-digital-transformation-guide/</guid><description>How to plan a B2B digital transformation that cuts costs and improves customer experience — with a practical roadmap, tool picks, and mistakes to avoid.</description><pubDate>Thu, 05 Feb 2026 00:00:00 GMT</pubDate><category>business-strategy</category><category>digital transformation</category><category>strategy</category><category>B2B</category><category>roadmap</category></item></channel></rss>