Even when we reach Artificial General Intelligence (AGI), it does not mean every company's problems will suddenly be solved. You cannot simply connect an AI service and expect your company to become productive overnight.
The harness around AI
You will still need to give AI the same things you would give a highly capable new employee: context, purpose, relevant information, tools, access, permissions, and a clear understanding of what needs to be done. This is the harness around AI, the environment that allows it to do productive work.
Creating that environment is what companies and leaders do.
Supercharged, not replaced
Our jobs are defined by purpose, context, and meaning. The typing, talking, analysis, and repetitive tasks within those jobs will increasingly be automated by AI, but the jobs themselves will remain. We will be supercharged.
Build your own intelligence
Companies should use off-the-shelf AI wherever possible, but they also need to build their own intelligence. No country or company can outsource all of its intelligence to someone else. You should use as much external AI as you can, while building the capabilities you need internally.
That is why the idea that AI will simply eliminate all jobs is misguided.
Stop using AI like Google
The bigger problem is that people often are not ambitious enough with what they ask AI to do. They take a powerful new model, use it like Google, ask a question, receive a paragraph, and conclude that the technology is only slightly better.
The best users treat AI as a collaborator or coworker.
Give it access like a star hire
If you hired the smartest person you knew and wanted them to be as productive as possible, you would give them access to the documents, tools, servers, machines, and information they need. AI should be treated the same way.
When a model has access to the right context, tools, data, and permissions, it can move from simply answering questions to actually doing work. That is where the real value comes from.
Knowledge over capital
And you do not necessarily need more money. You need more knowledge.
The important question is not how much money a company spends on AI or who receives that money. The crucial question is who is making the technology decisions. The person responsible for investing in technology needs to understand why those investments are being made and how they will change the organization.
The pace is changing
The pace of work is going to change dramatically. Things that once took 10 years could take one. Things that took one year could take a month.
For the first time, ordinary people can realistically imagine making an impact on industries worth hundreds of trillions of dollars. Companies, innovators, and countries are already discussing how AI could create tens of trillions of dollars in additional economic value.
That should change the scale of our ambitions.
Tinkering versus transforming
Most companies today are still only dabbling with AI. They are experimenting with chatbots, copilots, and individual tools without making fundamental changes to how they operate.
There is a simple test: if you removed AI from your organization today, would any of your workflows change?
For most companies, the answer is no. That means they are tinkering with AI rather than transforming their organization around it.
Rebuild how you work
The companies that will gain the biggest advantage are the ones willing to make structural changes, redesign their organizational structures, and rewrite their workflows around what AI makes possible.
The future belongs to companies that do not simply use AI, but rebuild how they work around it.