<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Metals on SoloSoft</title><link>https://www.solosoft.dev/tags/metals/</link><description>Recent content in Metals on SoloSoft</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://www.solosoft.dev/tags/metals/index.xml" rel="self" type="application/rss+xml"/><item><title>Nifty Index Falls on Profit Booking, IT Stocks Drag While Defense and Metals Pro</title><link>https://www.solosoft.dev/trends/2026-04-18-nifty-dips-on-profit-booking-it-drags-defence-and-/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/trends/2026-04-18-nifty-dips-on-profit-booking-it-drags-defence-and-/</guid><description>&lt;h2 id="the-fading-software-myth-why-is-the-market-starting-to-take-profits-in-pure-it-services"&gt;The Fading Software Myth: Why Is the Market Starting to Take Profits in Pure IT Services?&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;Direct answer&lt;/strong&gt;: Because the market realizes that the AI transformation narratives of many traditional IT services companies cannot translate into matching profit growth and valuation support in the short term. As AI moves from concept to large-scale deployment, the massive capital expenditure, specialized hardware, and underlying infrastructure required instead highlight the limitations of pure software service business models. Investors are voting with their feet, withdrawing funds from overvalued stocks with ambiguous growth momentum.&lt;/p&gt;
&lt;p&gt;The weakness in Wipro&amp;rsquo;s stock price post-earnings is a highly representative case. The company announced a share buyback plan of up to 150 billion rupees, theoretically a strong confidence signal, but the market did not buy it. The message behind this is brutal and clear: in the current tech investment environment, financial maneuvers can no longer mask the structural challenges facing core businesses. Investors are asking: How deep is the moat of your AI solutions? How much pricing power do you retain under pressure from cloud giants and open-source models? How much of your revenue growth comes from genuine technology premiums versus headcount expansion?&lt;/p&gt;</description></item></channel></rss>