<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai-Weekly on Marcin Kucharski</title><link>https://kucharski.ai/tags/ai-weekly/</link><description>Recent content in Ai-Weekly on Marcin Kucharski</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 13 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://kucharski.ai/tags/ai-weekly/feed.xml" rel="self" type="application/rss+xml"/><item><title>AI Weekly #7: When Investment Velocity Meets Governance Collapse</title><link>https://kucharski.ai/blog/ai-weekly-7-when-investment-velocity-meets-governance-collapse/</link><pubDate>Fri, 13 Feb 2026 00:00:00 +0000</pubDate><guid>https://kucharski.ai/blog/ai-weekly-7-when-investment-velocity-meets-governance-collapse/</guid><description>&lt;p>&lt;strong>TL;DR:&lt;/strong> CISA director uploaded classified documents to ChatGPT. UMG filed $3B lawsuit against Anthropic for illegally training on copyrighted music. Meta committing $115-135B capex in 2026. Governance hasn&amp;rsquo;t scaled with velocity. Indemnification clauses are now business-critical.&lt;/p>
&lt;p>Madhu Gottumukkala, acting director of CISA, uploaded sensitive government documents to public ChatGPT in August 2025.&lt;/p>
&lt;p>Universal Music Group filed a $3 billion lawsuit against Anthropic over 20,000+ songs, escalating 40x from their October 2023 suit that covered 500 songs and $75 million in damages. The complaint names CEO Dario Amodei personally and claims Anthropic torrented pirated tracks from LibGen to avoid licensing fees.&lt;/p></description></item><item><title>AI Weekly #6: 85% Customize Agents, 25% Ship Them</title><link>https://kucharski.ai/blog/ai-weekly-6-85-customize-agents-25-ship-them/</link><pubDate>Fri, 23 Jan 2026 00:00:00 +0000</pubDate><guid>https://kucharski.ai/blog/ai-weekly-6-85-customize-agents-25-ship-them/</guid><description>&lt;p>&lt;strong>TL;DR:&lt;/strong> 85% customize agents, 25% ship them. The gap isn&amp;rsquo;t technology—it&amp;rsquo;s governance. Security exploits (Gemini Calendar, Cursor IDE, Claude Code) blocked deployment plans in January 2026. The solution: instrument agents like microservices (72% of enterprises now do this), red team for prompt injection, and prioritize vertical agents for defensive use cases (ITOps 44% ROI, cybersecurity 27%) that ship faster than generative ones.&lt;/p>
&lt;p>85% of enterprises are customizing AI agents for their business needs.&lt;/p></description></item><item><title>AI Weekly #5: $10B Infrastructure vs 95% ROI Failure</title><link>https://kucharski.ai/blog/ai-weekly-5-10b-infrastructure-vs-95-roi-failure/</link><pubDate>Fri, 16 Jan 2026 00:00:00 +0000</pubDate><guid>https://kucharski.ai/blog/ai-weekly-5-10b-infrastructure-vs-95-roi-failure/</guid><description>&lt;p>&lt;strong>TL;DR:&lt;/strong> $37 billion spent, 95% zero ROI. The paradox: infrastructure booming ($10B Cerebras deal, $4.75B power acquisition), but enterprise execution collapsing. Winners have data maturity, cross-functional alignment, and measurable use cases. Losers build custom agents, lose 19% efficiency on complex tasks, and stay stuck in pilot purgatory. 2026 is the year CFOs demand proof.&lt;/p>
&lt;p>95% of companies are getting zero return on their AI investments.&lt;/p>
&lt;p>Let that sink in. Despite $37 billion spent on GenAI in 2025 alone, MIT&amp;rsquo;s &amp;ldquo;GenAI Divide&amp;rdquo; report shows the vast majority of organizations have nothing to show for it—no measurable ROI, no impact on P&amp;amp;L, just expensive pilots gathering dust.&lt;/p></description></item><item><title>AI Weekly #4: Your 2026 AI Roadmap Just Hit a Physical Wall</title><link>https://kucharski.ai/blog/ai-weekly-4-your-2026-ai-roadmap-just-hit-a-physical-wall/</link><pubDate>Mon, 29 Dec 2025 00:00:00 +0000</pubDate><guid>https://kucharski.ai/blog/ai-weekly-4-your-2026-ai-roadmap-just-hit-a-physical-wall/</guid><description>&lt;p>&lt;strong>TL;DR:&lt;/strong> $27 billion in capital moves this week signal AI infrastructure consolidation. Nvidia controls training+inference via Groq acquisition. ServiceNow builds agent control layers. Off-boarding procedures become security-critical when AI accelerates insider threats. Infrastructure constraints, not software, now dominate 2026 roadmaps.&lt;/p>
&lt;h2 id="the-reality-check">The Reality Check&lt;/h2>
&lt;p>I spent the last week digging through infrastructure and security reports, and honestly, it forced me to rewrite my entire perspective on 2026.&lt;/p>
&lt;p>As tech leaders, we usually live in the software layer: we talk about prompts, agents, and custom workflows. But recent moves by the industry giants made one thing painfully clear: the software party is now being dictated by the people pouring the concrete and buying the silicon.&lt;/p></description></item><item><title>AI Weekly #3: The Week AI Got Standards</title><link>https://kucharski.ai/blog/ai-weekly-3-the-week-ai-got-standards/</link><pubDate>Mon, 15 Dec 2025 00:00:00 +0000</pubDate><guid>https://kucharski.ai/blog/ai-weekly-3-the-week-ai-got-standards/</guid><description>&lt;p>&lt;strong>TL;DR:&lt;/strong> Three major AI standards (MCP, AGENTS.md, Goose framework) finally give enterprises vendor flexibility. Model routing becomes mandatory as pricing diverges 56x between frontier models. Technical implementation now determines competitive advantage.&lt;/p>
&lt;p>Three years after ChatGPT launched, the AI industry finally got standards.&lt;/p>
&lt;p>OpenAI, Anthropic, Google, AWS, and Microsoft announced the Agentic AI Foundation (AAIF) under Linux Foundation governance this week. The standards: Model Context Protocol (MCP) for data integration, AGENTS.md for project structure, and the goose framework for local execution.&lt;/p></description></item><item><title>AI Weekly #2: 88% Deployed, Only 6% Ready</title><link>https://kucharski.ai/blog/ai-weekly-2-88-deployed-only-6-ready/</link><pubDate>Mon, 08 Dec 2025 00:00:00 +0000</pubDate><guid>https://kucharski.ai/blog/ai-weekly-2-88-deployed-only-6-ready/</guid><description>&lt;p>&lt;strong>TL;DR:&lt;/strong> 88% of companies deployed AI, but only 6% have infrastructure ready. The real gap: 71% of time spent on manual data integration. Frontier workers (top 5%) are 6-17x more productive due to infrastructure, not talent. Budget shifted 76% toward buying platforms instead of building.&lt;/p>
&lt;p>88% of companies adopted AI. Only 6% are ready for it.&lt;/p>
&lt;p>Major reports dropped this week: McKinsey says nearly everyone&amp;rsquo;s using AI, CData says almost nobody has the infrastructure to support it.&lt;/p></description></item><item><title>AI Weekly #1: The Multi-Provider AI Era Just Started</title><link>https://kucharski.ai/blog/ai-weekly-1-the-multi-provider-ai-era-just-started/</link><pubDate>Fri, 05 Dec 2025 00:00:00 +0000</pubDate><guid>https://kucharski.ai/blog/ai-weekly-1-the-multi-provider-ai-era-just-started/</guid><description>&lt;p>&lt;strong>TL;DR:&lt;/strong> The AI market entered permanent competition mode. OpenAI&amp;rsquo;s internal &amp;ldquo;Code Red,&amp;rdquo; Gemini 3&amp;rsquo;s 650M users, and Anthropic&amp;rsquo;s 300K enterprise customers prove single-vendor stability is gone. Enterprises need multi-provider architectures, abstraction layers, and vendor-independent governance to avoid costly lock-in and migration premiums. The AI giants are already hedging—yours should too.&lt;/p>
&lt;h2 id="top-story-the-multi-provider-era-just-started-and-most-ctos-arent-ready">TOP STORY: The Multi-Provider Era Just Started (And Most CTOs Aren&amp;rsquo;t Ready)&lt;/h2>
&lt;p>OpenAI declared internal &amp;ldquo;Code Red&amp;rdquo; this week.&lt;/p>
&lt;p>Not because of technology failure. Because of competition.&lt;/p></description></item></channel></rss>