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The ability for AI systems to perform actual reasoning and decision-making has come closer over the past few years , but it is still far from being a reality .
As more organizations restructure themselves around conversational AI they will get more work done and the AI ’ s ability to automate increasingly sophisticated tasks will make IDWs trusted and revered teammates . and applying AI to them seems likely to hasten our demise .
On the other side of this , organizations that use conversational AI to improve experiences for their employees first can unleash a new paradigm for productivity that will fuel the automations they share with customers .
Still , even as these systems mature , decision making should remain human led .
Both strategy and reason should be top-of-mind for massive corporations and headstrong upstarts alike .
If AGI is going to emerge from a decentralized , widespread system of computing resources it seems possible that significant portions of it will emerge from within companies that have achieved organizational AI as they communicate with and learn from one another .
Conversational AI could lead us to a world where abundance is shared , productivity is enjoyable and people live as equals in relative harmony .
This means that the organizations that get it right in the coming years will have a massive impact on the AGI that emerges in a decade or so .
Putting profits and shareholders ahead of the well-being of employees and our home planet is a dangerous trajectory to maintain as these technologies take root in our lives .
Many of the structures and goals assigned to ‘ business ’ at large simply aren ’ t sustainable
In one respect , getting right means adopting a holistic strategy that brings AI into all aspects of your organization , not collecting piles of bolt-on tools .
Getting right also means thinking carefully about what it is you want to do with these powerful machines that are learning evermore by the minute . p
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