Tech's Big Problem: Too Much Money, Not Enough People

Companies are spending a lot on tech but not enough on people. This is a big mistake. They focus on the tools, like models, chips, and software, but forget about the people who use them. It's like trying to make paella but only using cilantro. The culture, workflow, and training are just as important as the technology itself. Briggs, a tech expert, noticed this problem. He saw that companies spend 93% on tech and only 7% on people. This is a big issue. Companies often try to fit new tech into old ways of working. This is called incrementalism. It's hard to change, but it's necessary. Companies are also struggling with AI. They try to fit AI into old workflows instead of reimagining their processes. This is a mistake. Leaders need to push through what's comfortable and embrace new ways of working.The consequences of ignoring the human side of tech are already visible. Workers are using unauthorized AI tools because they find them easier and more accurate. This is called shadow AI. It's a problem because it leads to a collapse in confidence. Workers who receive hands-on AI training trust their employer's AI more. Companies are also afraid of making the wrong investment. They worry that the tech they invest in will be obsolete by next week. This fear is holding them back. Briggs compares this to trying to time the stock market perfectly. It's better to just get started on a solution. The urgency to fix this ratio is compounded by the arrival of Physical AI. This moves beyond text generation to robotics and drones. Real-world applications are already proving the value of getting the integration right. For example, HPE saw 50% faster reporting from data to decision after deploying Zora AI.