Can AI agents change the world without AGI?

The Reality of AI Agents and AGI

While AI Agents, or agentic AIs, are being touted as the next leap in human productivity, the unadvertised reality is that, like other AI technologies, they are only as good as the humans that design and use them. They still require a human to know what the problem is and give the right command. But what if you were to combine the horsepower of an agent with an AI that can think like a human? How much more could be achieved? This question is why many in the AI industry are already looking past agents, and are solely focused on AGI, artificial general intelligence.

There are some leaders in the tech industry who believe AGI is as close as two years away. Google co-founder Sergey Brin, recently sent a memo to employees recommending they work 60 hours a week, saying “Competition has accelerated immensely and the final race to A.G.I. is afoot.” But let’s get real, are we really that close to AGI? Even if we are, will it be able to truly replicate the adaptability and complexity of the human mind? And even if so, should we look past agents now and wait for the promise of AGI?

True AGI is Still a Long Ways Away

Much of the conversation around AGI has started with AI reasoning models. Reasoning models like OpenAI’s o1 and X’s Grok 3 are designed to “think through” problems before they respond. The human mind, however, is much more sophisticated than a reasoning machine. Reasoning models don’t solve the three biggest problems with achieving AGI.

The first problem is AI models, even reasoning models, need to be continually updated and trained. That requires continual human oversight to reinforce the AI’s logic. Without a human telling an AI that it is thinking about things in the right way or the wrong way, it will remain in a perpetual embryonic state. The second problem is that current AI models cannot assimilate information or adapt to novel situations. Finally, the biggest problem is that AI’s are unable to form unique ideas. AI “thought” is confined to the data it was trained on.

Dr. Robert Ambrose, NASA’s former Chief of its Software, Robotics, and Simulation Division, has posited that a possible solution is to induce AI’s to dream. But scientists don’t even know why humans dream or how, making the prospect of having AI’s dream of electric sheep that much more remote.

Don’t Overlook Agents – They Can Help You Right Now

Believe it or not, you don’t need to wait for AGI to control your agents; general intelligence still works. If you are intentional with how you set up your AI agent, you can use it to substantially multiply your productivity. Instead of performing tasks manually or prompting discrete AIs and automations to do work, you can rely on an AI agent to project manage for you.

Like a new employee, your agent needs to be trained on your processes to know how to get the job done. That means you need to create underlying automations for your AI to execute in pursuance of its objective. The investment of time and money in an agent on the other hand is mostly a one-time cost, you don’t need to recruit or train a new one ever again.

Don’t Pin Your Hopes on Sci-Fi Timelines

According to Back to the Future, Blade Runner, and Terminator 2, AGI is still in the realm of science fiction. The path forward isn't about choosing between agents and AGI, but rather about leveraging the concrete benefits of current AI technology while maintaining a pragmatic perspective on future developments.

By focusing on thoughtful implementation of AI agents today – establishing clear processes, creating necessary automations, and providing proper training – organizations can realize significant productivity gains without waiting for the uncertain timeline of AGI. Rather than fixating on when machines might think exactly like humans, we should concentrate on how they can help us think and work better right now.