Can AI Disrupt the $1.2 Trillion Software Market?

Ever wonder why some companies see real ROI 📈 from AI while others only see surface-level results? 💡 The difference often lies between using #LLMs for text generation and deploying #AIagents that can actually take action. Agents don’t just produce words. They execute tasks, optimise processes, and create measurable impact across the enterprise. Understanding this distinction could mean the difference between experimenting with AI and truly transforming your business. 📊 Read our latest blog 👉🏼 https://lnkd.in/dEUm2uZN to see how AI agents are reshaping the future of software development. #streamliningoperations #processoptimisation #futureofsoftwaredevelopment #measurableimpact #AIagency

There's a growing tension of big enterprise software revenues and investor sentiment with the promise of #vibecoding growing beyond its beachhead in personal, small, and/or pilot projects. The innovator's dilemma tells us that disruptive market entrants begin in small ways and steadily increase in capabilities until they replace now legacy /classic incumbents. Obviously, the game is far from that simple, given the incumbents are themselves using AI to add value to their own development and in adding value to end users. https://lnkd.in/ez5Femwv

Enterprise AI adoption is getting more complex, but clarity is possible. This new article builds on our CEO Cormac Whelan’s CIO Online piece with six principles we see in action every day at Nitro Software. It’s a great framework for teams looking to move past hype and toward real outcomes.

Base64 MCP: Talk to your #DocumentAI Say goodbye to complicated software integrations! Base64 #MCP (Model Context Protocol) enables users, applications, and #AI tools to communicate with each other by talking. MCP provides an intuitive AI experience that fosters seamless interaction and unlocks the full potential of AI for everyone. Learn more at https://lnkd.in/eHNtMfny #modelcontextprotocol #innovation

How will AI transform the way software companies generate new revenue streams? Discover key answers in our latest article. #DeloitteUS https://delo.tt/6048AHRB2

Companies using AI are building 10x faster with 10% of the overhead. AI is completely DISRUPTING the software industry. Being able to build software is not the moat anymore. Being able to execute and distribute are.

 Just discovered someone automated their entire invoice process using Notion + Google Docs. The setup: ✅ Notion database stores invoice data ✅ Google Doc serves as PDF template ✅ Automation runs 24/7 with zero manual work Result: Endless PDF generation with one-time setup. This is the kind of practical AI automation that actually moves the needle. What repetitive tasks are you automating in 2025?

If you are serious about using AI to develop software, you should keep your LLM context usage at around 30% - 40% the size of the LLM context window. Sounds easy, but it's not. It will involve having a system in place.

AI is changing the rules of software monetization. Traditional per-user pricing? No longer enough. AI-driven features bring new costs and new opportunities.   3 trends to watch: ✅ Shift to usage-based and outcome-based pricing ✅ AI as a core value driver in packaging ✅ Hybrid models for flexibility and fairness   If you’re in software, your pricing strategy needs to evolve fast. Curious how leading companies are adapting? Discover our insight in the comments and enjoy the video below ⬇️   #AI #SoftwareMonetization #NewTech

I think the need for developers will increase with the rise of AI. Because when building software becomes easy and fast with AI, more businesses will want software solutions and that means more demand for developers