The rapid ascent of artificial intelligence (AI) has triggered a deep reassessment of how we interact with technology, especially in the field of productivity software. At the forefront of this revolution are models of large languages (LLMS) such as Openai Chatpt and Google Gemini, which do not simply increase existing tools but actively position themselves as fundamentally new alternatives and potentially superior to established giants like Microsoft Office. This change announces a future where natural language, rather than complex menus and functions, becomes the main interface for creation and analysis.
The basic test of the IA-Office
For decades, Microsoft Office is the undisputed king of productivity. Word, Excel and PowerPoint are anchored in daily work flows around the world. However, these tools, although powerful, are often delivered with a steep learning curve and a myriad of features that many users never fully use. Enter AI. OPENAI would have developed spreadsheet and presentation tools directly in the Chatppt, aimed at disrupting Microsoft Office by offering more intelligent productivity options and fueled by AI. These tools would allow users to generate graphics, tables and presentation slides via intuitive prompts and integrated buttons, rationalizing workflows without switching between several platforms. The objective is clear: simplifying the work while reducing dependence on paid services like Microsoft 365 and Google Workspace.
Imagine a world where, instead of meticulously formatting an Excel spreadsheet, you simply say to Chatgpt, “Create a sales report for the T2 2025 showing income per range of products and a growth projection for the third quarter.” The AI would then generate a perfectly formatted spreadsheet, with relevant data and even a predictive model, all based on your entry into natural language. Similarly, the development of a presentation could imply an order such as: “Build a five shift presentation on the advantages of remote labor, including a slide on productivity statistics and another on cost savings.” The AI would not only generate the slides, but would also win them with convincing content and appropriate visuals. This passage from “how to do” to “what I want to do” represents a monumental jump in the user experience, which potentially makes traditional interfaces and focused on the obsolete menu for many common tasks. While Microsoft has its own AI initiatives as Co -pilotThe reports suggest that even Microsoft's own employees sometimes prefer chatpt For its ease of use and wider capacities, highlighting competitive pressure.
Beyond Microsoft: Adobe's IA Challenge
The threat of AI extends far beyond the productivity of offices. Companies like Adobe, with their signature creative products such as Photoshop, are also faced with significant disturbances. Photoshop, a cornerstone for graphic designers and photographers, is incredibly powerful but requires in -depth training and expertise. The image generation and mounting tools powered by AI are emerging that can perform complex tasks with remarkable simplicity.
AI generative, illustrated by tools like The Adobe is clean and competitors like PixlrCan now create images from text prompts, delete unwanted objects, extend the fabrics and even generate entirely new elements in a few clicks or a simple description. While Adobe incorporates AI's capacities in Photoshop with features like Generative FillThe underlying principle of AI is to democratize creation. A user could soon be able to say: “Change the background of this product photo in a sunny beach with palm trees”, and AI would perform it perfectly, a task that would traditionally require an important manual effort in Photoshop. This raises questions about the future demand for highly specialized manual editing skills when AI can obtain similar or superior results with a minimum of effort.
The evolution of AI and productivity
The current Wave of AI is only the beginning. As the AI models become more sophisticated, they will spend simple assistants to proactive “agents” capable of carrying out complex tasks and several stages independently. These agents could carry out functions ranging from the generation of complete reports according to public and internal data to the planning of meetings, to the management of e-mail reception boxes and even to the execution of basic web operations. The future of productivity will likely imply highly personalized AI companions who include individual work flows, anticipate needs and take the initiative to complete tasks without explicit instructions.
This evolution will further blur the lines between the different categories of software. A single AI interface can transparently manage tasks that currently require a switching between a CRM, a messaging client, a project management tool and a document editor. Emphasis is put from controlling individual applications to effective communication with Central Intelligence of AI.
Other industries on the horizon
The progress of the advancement of AI will extend through many other productivity products and industries.
- Project management software: Tools like Asana, Monday.com and Jira could see AI agents take charge of task assignments, monitoring progress and even identification of bottlenecks, requiring human intervention only for strategic decisions.
- Customer relations management systems (CRM): Salesforce and HubSpot could face systems led by AI which manage customer interactions, personalize awareness and predict sales trends with a minimum of human contribution.
- Communication platforms: Slack and Microsoft teams could evolve towards interfaces where AI agents summarize conversations, plan monitoring and write responses, which makes human communication more efficient and concentrated.
- Data analysis and commercial intelligence: Companies like Tableau and Power Bi, although powerful, always demand that users build dashboards and requests. The future AI could allow professional users to ask complex questions in natural language and receive instant and usable information without having to handle data models.
- Legal and financial services software: The AI is already piercing in legal research and financial analysis. Software specialized in these fields could be replaced by AI systems capable of writing contracts, analyzing market trends and making reasonable diligence with unprecedented speed and precision.
Packaging
The rise of AI, in particular powerful LLM like Chatgpt and Gemini, is not only a progressive improvement in software; It is a fundamental paradigm change. By prioritizing the interaction of natural language and the automation of complex tasks, AI is ready to disturb the giants of established software like Microsoft Office and Adobe, offering much easier to use and more effective solutions. While AI continues to evolve towards proactive agents, its impact will propagate in almost all sectors of productivity, forcing companies to adapt or risk obsolescence. The future of work will be defined by the effectiveness of our integration and collaborate with these intelligent systems, transforming the very definition of productivity.
As president and principal analyst of the Enderle group, Rob provides regional and global companies with advice on how to create credible dialogue with the market, target customer needs, create new commercial opportunities, anticipate technological changes, select suppliers and products and practice zero dollar marketing. For over 20 years, Rob has been working and with companies like Microsoft, HP, IBM, Dell, Toshiba, Gateway, Sony, USAA, Texas Instruments, AMD, Intel, Credit Switzerland First Boston, Rolm and Siemens.
