<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Big Tech on SoloSoft</title><link>https://www.solosoft.dev/tags/big-tech/</link><description>Recent content in Big Tech on SoloSoft</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://www.solosoft.dev/tags/big-tech/index.xml" rel="self" type="application/rss+xml"/><item><title>AI VC Funding Hit $300B in Q1 2026: Where the Money Actually Went</title><link>https://www.solosoft.dev/trends/ai-vc-funding-record-q1-20260402/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/trends/ai-vc-funding-record-q1-20260402/</guid><description>&lt;p&gt;For most of the past decade, a billion-dollar funding round was enough to define the venture capital conversation for a week. In Q1 2026, a billion-dollar round barely registered. The quarter produced $300 billion in global venture funding across approximately 6,000 startups — a number that represents more than 150% growth over both the prior quarter and the prior year period. To put that figure in context: the entire global venture market for 2021, widely regarded as the peak of the previous funding supercycle, totaled roughly $620 billion across all four quarters. Q1 2026 matched nearly half of that in three months.&lt;/p&gt;</description></item><item><title>Meta's $35B GPU Bet and the AI Infrastructure Race</title><link>https://www.solosoft.dev/trends/meta-ai-infrastructure-race-20260410/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/trends/meta-ai-infrastructure-race-20260410/</guid><description>&lt;p&gt;The AI industry has always been a race — but in April 2026, the nature of that race changed. Meta announced a $21 billion GPU capacity deal with CoreWeave extending through 2032, layered on top of a prior $14.2 billion commitment signed earlier this year. Simultaneously, the company unveiled its first major AI model under Alexandr Wang, the Scale AI founder it brought in through a $14 billion deal to run its AI division. The message is unambiguous: the frontier of AI competition has moved from the laboratory to the data center. The most important decisions being made right now are not which architecture to train or which benchmark to optimize — they are how many GPUs to secure, how far in advance to lock capacity, and how much capital a company can sustain burning before the bets pay off. For enterprises watching from the sidelines, this shift carries direct implications for which AI vendors will still be standing — and at what capability level — in 2028 and beyond.&lt;/p&gt;</description></item><item><title>SoftBank's $40 Billion OpenAI Gamble: What It Signals for the AI Industry in 2026</title><link>https://www.solosoft.dev/trends/softbank-openai-40b-investment-20260328/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/trends/softbank-openai-40b-investment-20260328/</guid><description>&lt;p&gt;On March 27, 2026, SoftBank Group secured what may be the largest unsecured bridge loan in corporate history — &lt;strong&gt;$40 billion&lt;/strong&gt; — to fund a further $30 billion investment in OpenAI. The lenders include JPMorgan Chase, Goldman Sachs, and four major Japanese banks. By close of trading that same day, SoftBank shares had fallen nearly 45% from their October 2025 highs.&lt;/p&gt;
&lt;p&gt;The market&amp;rsquo;s reaction tells one story. The strategic logic tells another. Understanding both is essential to grasping where AI is heading in 2026.&lt;/p&gt;
&lt;hr&gt;
&lt;h2 id="the-anatomy-of-a-record-bet"&gt;The Anatomy of a Record Bet&lt;/h2&gt;
&lt;p&gt;SoftBank&amp;rsquo;s new commitment brings its &lt;strong&gt;total investment in OpenAI to over $60 billion&lt;/strong&gt; — a figure that exceeds the GDP of several small nations and dwarfs the venture capital deployed by most top-tier firms in an entire year.&lt;/p&gt;</description></item></channel></rss>