"If you don't learn how to coordinate AI agents now, you will have to spend 2027 watching others leave you behind." This statement from Google CEO Sundar Pichai is not just a macro warning, but is becoming a reality all over the world.

The end of the era of "manual coding" and the technical mindset trap

Most people still mistakenly believe that creating a self-operating AI system or building AI agents requires specialized technical degrees or years of training in complex algorithmic thinking. The truth is quite the opposite, it just requires a proper guide and a focused afternoon.

The recent Google I/O event demonstrated how thoroughly that boundary has been erased. Google CEO Sundar Pichai shared: "Two years ago, we were processing 9.7 trillion tokens per month... Last year at I/O, that number increased to about 480 trillion tokens. And fast forward to today, that number has jumped sevenfold to 3.2 quadrillion tokens per month. Never did I think I would say the word 'quadrillion' in an I/O speech, but here we are."

When the machine can plow 15,000 requests and process 2.6 billion tokens in half a day, an engineer manually typing each line of code (line-by-line) no longer represents meticulousness or high level of proficiency, it is a serious waste of resources. The world's leading programmers realized this early on and quietly made the biggest shift in their careers, stopping writing code manually to switch to being a "conductor".

Agent Orchestration: Required survival capability

Why do the best engineers all abandon traditional coding habits? The answer lies in scale. In the new era, the value of technology workers is no longer measured by the number of lines of code written each day, but by the ability to coordinate agents (Agent Orchestration).

Switching to a coordinated mindset means you completely change the way you solve problems, moving from the role of a direct implementer to the position of an architect focusing on decomposing large problems into small goals and establishing optimal workflows. Instead of getting involved in trivial tasks, you will make the most of the "AI workforce" by assigning specialized tasks from writing functions, finding security errors to optimizing memory to each separate AI agent running in parallel 24/7. Thanks to that, the creative barrier is lowered to the maximum level, the clearest evidence is that even CEO Sundar Pichai can use the coordination tool to directly fix source code errors in Google's system without having to go through complicated command line approval steps.

The cost of creating complex software is plummeting towards zero. Those who still cling to the skill of typing commands manually will soon find themselves turning into a bottleneck in the development process of their business.

The differentiation of productivity and equal opportunity for all

The most valuable point of the AI ​​coordination wave is the popularization of technology. You don't need a PhD in Computer Science to own an "AI army". Thanks to the breakthrough of models like Gemini 3.5 Flash or Claude, setting up an automated workflow is now as easy as writing a task assignment for employees.

"We're moving beyond AI tools that help us write to AI agents that help us take action. These agents have lowered the barriers to software development to the point that anyone can become a builder, even busy CEOs." - CEO Sundar Pichai shared at the event.

The gap between pioneers and latecomers will not be measured in years, but in the ability to penetrate the workflow right at this moment. The year 2026 is the breaking point for survival, those who know how to delegate work to AI will duplicate productivity dozens of times, while those who hesitate will have to pay the price of irreversible lag when entering 2027.

The problem for each individual and business today is no longer "Will AI replace me?", but "Am I ready to spend an afternoon learning how to coordinate the machine that will elevate me?".

Thien Minh