AI-Powered Apps vs. Human Assistants: Who Wins the Productivity Battle?

Over the last few decades, humanity has increasingly leaned on different technologies. First, personal computers revolutionized our work and leisure; then the Internet appeared and gave us access to incredible amounts of information; finally, AI-powered apps in all their multiple forms let us delegate a huge number of tasks. Naturally, with AI technology automating so much of our work and routine, the question arises, “Will AI take over our jobs and win the productivity battle?”

Although the question seems new, the history of digital assistance is around 30 years old. From Clippy, the animated paperclip by Microsoft, who popped up in Word documents and offered advice, we moved to Siri, who could decipher our voice commands, and finally to ChatGPT, which helps us with most of the day-to-day tasks — from shopping lists to offering psychological support.

What AI-Powered Apps Can Do

Currently, we’re seeing an unprecedented boom in productivity tools: Notion AI can draft content and organize workflows; Grammarly helps with grammar, tone, and clarity of texts; Grain and Otter.ai transcribe calls and create summaries in real-time. Seems like AI has taken over most of the routine tasks:

• Scheduling, reminders, and setting tasks can now be done hassle-free and automatically. Services like ClickUp and Asana help you manage workflows, schedule tasks, and remind you about them. 
• AI has been indispensable in email replies and writing assistance. Tools like Jasper and Superhuman can draft, edit, and even suggest full email replies based on tone and context.

• Real-time data analysis and decision-making support has become faster than ever with Perplexity AI and Elicit, used for research and summarizing purposes. These and similar technologies can sift through massive volumes of data almost instantly, analyze it, and provide insights to support decisions.
• Unlike humans, AI doesn’t need rest — it’s ready to assist you around the clock, anytime you need it. It also takes seconds to reply, regardless of the amount of information or the request.

AI automates and speeds up everything that deals with data, content, and research, and is supposed to free our time for more creative and innovative tasks.

What Human Assistants Still Do Better

So, is there something that AI can’t do, and what can still be achieved by humans only? Yes, some things still can’t be replicated by technology and require a human touch. Among these things are the following:

• Emotional intelligence and empathy can only be exuded by humans, since machines can’t recognize and experience things like we do. Especially if there’s a complex situation on hand or an issue that cannot be resolved in a few actions.
• AI can prioritize well, but it’s still bad at anticipating unspoken needs and adapting priorities accordingly. A human assistant can raise an issue or change the plan if they notice shifting dynamics.
• Handling sensitive communication and crisis management are the things that humans can navigate with tact and intuition — something AI is lacking. Sensing small things like tone, context, cultural, or other issues is an impossible task for the AI.
• AI makes decisions based on data patterns it analyzes. Ethics, judgment, and critical thinking aren’t in the scope of this data, and that’s where human assistants still have the upper hand.

Humans have priority when nuances matter more than speed, as we can notice small details, recognize the emotions of others, and handle sensitive issues with empathy.

Hybrid Models: When AI and Humans Collaborate

Luckily, we don’t have to choose between using just AI or just humans — we can take the best of both worlds. An obvious example is customer support. AI can decrease manual labor by addressing repetitive issues at the first stages of the support process. Often, problems can be solved by redirecting customers to the Help Center or running additional checks. But if the issue persists or is more complex than a simple error, human assistants can come to the rescue, making sure the problems are addressed with utmost care and empathy.

Another example is checking and banning content for illegal or harmful material. AI is pretty skilled at detecting violations and can quickly scan thousands of pictures, videos, and posts to recognize illicit content. This reduces the volume of work for human moderators. However, in more nuanced cases that can involve context ambiguities, ethical gray areas, and cultural sensitivities, human checks become mandatory. 

In hybrid models, AI works as a sort of preliminary filter, reducing the need for human input. But humans step in cases where deeper understanding and critical thinking are required.

People or Programs?

The question of delegation is fairly simple — anything that can be automated and sped up, like repetitive tasks, collecting and analyzing large amounts of data, standardizing communication, and filtering, can be delegated to the AI. Such tasks can benefit from the AI’s consistency, speed, and accuracy.

Areas that require emotional intelligence, critical thinking, and an ability to read between the lines are the human turf. That’s why people should handle sensitive communication, creative work, and ethical decisions. Also, people should have the final say in strategic decisions where context, long-term consequences, and subtle nuances matter.

Human Touch Still Matters

AI assistants have truly become our right hand in the last couple of years. They can simplify and automate our routine and make our lives easier. However, in some cases, the human factor is more relevant, where empathy, strategic thinking, and context come into play. Luckily, we can take the best of the two worlds and combine AI’s speed and consistency with human touch and emotional intelligence. This way, the most efficient tool will be the tandem of a person and an algorithm.