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AI for Productivity: Buckle up for 3 Phases of Rapid Evolution



Do you ever feel like there aren’t enough hours in a day to accomplish everything you need to? With deadlines to meet, tasks to complete, and goals to achieve, it can often be challenging to work efficiently. Fortunately, the rise of artificial intelligence (AI) has enabled us to revolutionize our approach to productivity. In this blog post, I will introduce a framework consisting of three major phases of AI applied to personal productivity. These phases will reshape the way we work and help us achieve more in less time.


Phase One: Content Creator - Book-Smart Assistants Help You Create Text, Art, and More



As a content creator, generating fresh ideas and executing them can be challenging. But what if you had a tool that could help you generate ideas, suggest phrasing, and even create custom images and art to accompany your work? Meet book-smart assistants like ChatGPT and DALL-E.


These language models use sophisticated algorithms to analyze vast amounts of publicly available data from the internet and generate insights that can inspire new ideas and streamline the creative process. They can help you write essays, articles, and blog posts faster and more efficiently than ever before, as well as create unique images and visual content to complement your work.


This is a game-changer for content creators, as these tools can speed up the creative process and amplify their efforts. Whether you’re a writer, graphic designer, or content marketer, book-smart assistants can help you deliver high-quality content faster and easier than ever before.


Phase Two: Personal Organizer - AI Will Analyze Your Data and Offer Suggestions to Streamline Your Workflow



In the second phase of AI productivity, we will safely and securely provide access to our personal data, allowing AI to serve us better than ever before.


When AI “sees” our documents, calendars, meetings, communications, web browsing, and app usage, it will gain insight into our work habits and priorities. It will analyze and summarize that information to offer valuable suggestions that save us time and streamline our workflow.


For example, AI will help us make connections between various pieces of information, such as identifying relevant documents or contacts for a meeting or particular project. This will save us valuable time and effort in searching for information and making decisions. It will summarize takeaways, decisions, action items and next steps from meetings to help us make progress.


AI will also help us prioritize our tasks by analyzing our to-do lists, calendars, and emails to determine which tasks are time-sensitive. It will identify patterns in our work habits, such as when we’re most productive or which projects tend to take up the most time, and make recommendations accordingly.


Overall, the second phase of AI productivity will be all about using our personal data to make more informed and effective decisions. By leveraging the power of AI, we will streamline our workflow, increase efficiency, and ultimately achieve more in less time.


Phase Three: AI Executor - Trusting AI to Perform Tasks and Make Decisions on Our Behalf



In the third phase of AI productivity, we will need to trust AI even further by letting it execute tasks and update data on our behalf. We will delegate more of our responsibilities to AI, allowing it to schedule meetings and reminders on our calendar, attend meetings on our behalf, send messages and share files, and gather information from the web to include in all of the above.


For example, AI can analyze our meeting schedules and suggest times and locations that are convenient for all participants. It can also attend meetings on our behalf, taking notes and summarizing key points, or even providing discussion input based on our preferences.


In addition, AI can monitor our communication channels and respond to messages on our behalf, freeing up time for us to focus on other tasks. It can also gather information from the web to provide valuable insights and recommendations on various topics.


This requires a significant leap of faith, but we can develop ways to build that trust in AI and encourage it to build competency, just as an intern or apprentice would. We can train AI “on the job” to understand our preferences, goals, and priorities so that it can make decisions and perform tasks that align with our needs and values.


In conclusion, the three phases of AI productivity will reshape the way we work and help us achieve more in less time. By leveraging the power of AI, we can streamline our workflow, increase efficiency, and delegate more responsibilities to AI, allowing us to focus on higher-level tasks and achieve our personal and professional goals.


Next blog post, I’ll share some exciting ideas about Phase 3 and how our journey might unfold as AI becomes more personalized, competent, and trustworthy. Stay tuned for more!


 

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