Tech

Sales of PC Hard Drives Estimated to Decrease By 50% in 2019  

Published

7 years ago

June 1, 2019

Japanese motor manufacturer, Nidec, who is the responsible for sales of 85% of HDD Spindler Motors to the world, released its financial presentation report. The report says that the shipment of PC hard drives for 2019 will drop by a large amount. Due to many ongoing drifts such as general market weaknesses, hard drive recovery problems, and the transformation of notebooks to SSD, the company will face a 50% drop in the shipment of PC hard drives.

Meanwhile, manufacturers handling the shipment of other HDD such as external HDDs and nearline hard drives for data centers, are looking to hold their positions steady. Shipment of external HDDs will stay up to 100 million units, whereas delivery of nearline hard drives for data centers is predicted to increase up to 54 million units. Sales of enterprise-class hard drives will decline up to some limits but not like PC hard drives, according to Nidec.

According to Nidec financial report, unit sale for all types of hard drives decreased by 43% from 2010 to 2018. In 2010, sale was 650 million units, which declined to 375 million units in 2018. Nidec has recently altered HDD shipment forecast from 356 million drives to 309 million drives for 2019, which is further predicted to drop to 290 million units for 2020. This drop in shipment forced Nidec to lower the production capacity of the products.

The increased decline rate of PC HDDs is the main reason for lowering the production capacity. According to Nidec financial report, the shipment of PC HDDs declined from 289 million drives in 2013 to 124 million drives in 2018, which is further predicted to drop up to 65 million units in 2019, by almost 48%.

Tech

My Main AI Turns Complex Workflows into Simple, Voice-Driven Conversations

Published

2 weeks ago

February 9, 2026

Jonathan Grilli

Photo Courtesy of My Main AI Inc.

By: Chelsie Carvajal

Managing modern workflows often means juggling dashboards, documents, and long email threads before a single task is complete. My Main AI Inc, an AI technology platform that spans text, image, voice, and video, has built a system where many of those steps can be handled through spoken or written prompts instead of manual clicks.

Turning Tasks Into Conversations

My Main AI groups several automation tools around a voice and chat layer so users can move through work by giving instructions rather than configuring each step. The platform lists AI Web Chat, AI Realtime Voice Chat, AI Speech‑to‑Text Pro, and AI Text‑to‑Speech engines from providers such as Lemonfox, Speechify, and IBM Watson, creating a loop between spoken input and generated output.

Speech‑to‑text tools support accurate transcription of audio content in multiple languages, with options to translate those recordings into English. That capability gives businesses a way to record meetings, calls, or field conversations, then convert the results into text that can be summarized, edited, and turned into documents or scripts. Text‑to‑speech tools, including multi‑voice synthesis with up to 20 voices and SSML controls, take written content in the other direction, producing voiceovers for training, marketing, and support material.

Chat assistants extend the same pattern to files and websites. My Main AI lists AI Chat PDF, AI Chat CSV, and AI Web Chat, which allow users to ask questions of documents or site content through natural language prompts. Instead of sorting through long reports, a user can query a file, receive concise answers, and then send follow‑up requests to generate emails, briefs, or summaries in the same environment.

From Content Pipelines to Voice‑Led Workflows

The company reports that its platform connects to more than 100 models from OpenAI, Anthropic, Google Gemini, xAI, Amazon Bedrock and Nova, Perplexity, DeepSeek, Flux, Nano Banana, Google Veo, and Stable Diffusion 3.5 Flash. Public materials state that these models support text, image, voice, and video generation in more than 53 languages, giving the voice‑driven tools reach across several regions and markets.

Content creation sits at the center of many of these workflows. My Main AI offers modules for blog posts, email campaigns, ad copy, social captions, video scripts, and structured frameworks such as AIDA, PAS, BAB, and PPPP. A user can dictate key points or paste a brief into the chat, receive draft text, ask the assistant to adjust tone or length, and then pass the result into voice synthesis to create a narrated version.

Visual tools fit into the same flow. DALL·E 3 HD, Stable Image Ultra, and an AI Photo Studio support image creation, product mock‑ups, background changes, and multiple variations from a single upload. AI Image to Video and text‑to‑video connections with engines such as Sora and Google Veo, alongside an AI Avatar feature labeled “coming soon,” make it possible to turn a spoken or typed brief into images, then into short clips that accompany the newly generated audio.

Why Businesses See Conversation as Infrastructure

Company data shared with partners cites more than 77,000 customers worldwide, annual revenue near 3 million dollars, and monthly revenue growth around 250,000 dollars, driven largely by subscription sales. The 49‑dollar plan is described as the best‑selling tier, with My Main AI presenting it as the entry point to the broader suite of conversational and automation tools.

Business‑oriented features show how these voice‑driven workflows connect to operations. The platform lists payment gateways such as AWDpay and Coinremitter, integrations with Stripe, Xero, HubSpot, and Mailchimp, and tools for SEO, finance analytics, dynamic pricing, wallet systems, and referrals. A manager can ask a chat assistant to pull figures, draft a report, and prepare customer messages, then move directly into sending campaigns or reviewing payments through linked services.

Company communications describe ongoing work on proprietary models, expanded training flows from text, PDFs, and URLs, and deeper tools for chat, analytics, and video. That roadmap suggests that My Main AI views conversation—spoken or typed—as a central control surface for complex workflows, with automation stepping in behind the scenes so users can focus on clear instructions rather than manual configuration.