AI platforms are moving beyond chatbots into research, coding, automation, workplace productivity and voice applications.
From GPT-5.6 and Gemini to Claude and AssemblyAI, businesses increasingly have specialised AI options for different workloads.
Highlights
- AI is evolving from a productivity assistant into an operational layer for businesses
GPT-5.6 targets coding, research and complex professional knowledge work - Gemini is expanding agentic capabilities across Google’s productivity ecosystem
Claude focuses on coding, knowledge work and multi-step autonomous tasks - Perplexity combines AI-powered research with agentic work capabilities
Microsoft Copilot embeds AI agents into Microsoft 365 workflows - AssemblyAI highlights the growing business opportunity around multilingual voice AI
Businesses may increasingly combine multiple specialised AI platforms rather than rely on one model
By Aanchal Sachdeva
AI is rapidly progressing from a productivity tool to an operational layer in businesses. The latest developments aren’t just about producing text or answering questions; they also involve conducting research, writing code, generating or editing images, automating workflows, and managing voice interactions, while competing on reasoning, coding, cost, and speed. The following are six AI platforms shaping how businesses put the technology into practice.
OpenAI GPT-5.6
OpenAI’s GPT-5.6 family handles complex professional tasks such as coding, research, and knowledge work. It has three levels – Sol, Terra and Luna – designed to balance capability, speed and cost, which makes it a versatile choice for businesses that are using AI across a range of workloads.
Google Gemini
Google aims to develop Gemini beyond a standard chatbot and into an agentic AI platform. The newest versions of Gemini can handle multimodal tasks, and Gemini Spark can operate across Google Workspace applications such as Gmail, Docs, and Sheets. Because of this, Gemini is especially relevant to businesses which are already using Google’s ecosystem.
Claude
Claude focuses on complex knowledge work and coding; Claude Sonnet 5 can use tools and operate autonomously on multi-step tasks, while Claude Opus 5 targets long-running agents and demanding professional workflows.
Perplexity
Perplexity is moving from being an AI-powered search tool to becoming an agentic platform for research and work. Its system can operate across the web, files, and Microsoft 365, and its Model Council can use various models to produce reports and other work-ready outputs.
Microsoft Copilot
Copilot’s value lies in bringing AI into the workplace; its agents can access organisational information, analyse data, and automate processes within tools such as Teams, Outlook, and other Microsoft 365 applications. For businesses, what attracts them is less another chatbot than incorporating AI into their current workflows.
AssemblyAI
Not all AI advances are text-based. AssemblyAI focuses on speech-related AI, and its Universal-3.5 Pro model can transcribe, identify speakers, handle code-switching between Hindi and English, and support voice-agent applications. It shows how increasingly important voice AI is becoming for multilingual markets such as India.
The focus of the AI race is now shifting from ‘Which chatbot is the smartest?’ to ‘Which AI can carry out the job?’ Businesses might gain their next advantage not by choosing a single model, but by combining specialised AI tools for research, productivity, automation, software development, and customer relations. As models become more specialised and competition drives prices down, companies can use different AI systems for different tasks, turning model choice into a new kind of technology and business decision.
