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The observation of the threat to the optimistic language exactly infiltrated those who slow the adoption of artificial intelligence.
You can hear this in the speech of the UK Minister of Technology Peter Kyle, who told workers and companies this month: “Act now, and will flourish in the future. No, and I think some people will leave behind.” You can hear this in the marketing Spiel used by software companies such as Salesforce: “Companies that fail to take advantage of artificial intelligence in their business risks leave behind.” And you can hear it in the way that some CEOs began to communicate with the employees. “From artificial intelligence will come to your jobs,” said Misha Kaufman, CEO of Fiverr, Fiverer CEO, in a memorandum of employees on a memorandum last month. “Are we all governed by us? Not all of us, but those who will not wake up and understand the new reality quickly, unfortunately, are governed.”
But is it true that “behaving now” or “left behind (and/or their convicts)” Are the only two options available?
Of course, there He is Such a thing is an advantage for the first engine, and you can see why this may accumulate for some companies that are racing to install new systems of artificial intelligence such as independent agents. If these investments lead to lower costs and higher productivity, the pioneer may provide a lower price or better customer service and gain more share in the market. The first engine also has a better opportunity to work with technology sellers to form new systems about their own needs. For companies facing the customer such as consulting, it may help them have a good reputation as a first engine to sell their experiences in the artificial intelligence of customers.
But there is something like the “second engine feature”, also-even in the sectors that depend on the powerful network effects. Transpiring Facebook Mai Space. Google excels Jeeves. As one of the senior business officials recently noticed in discussing a round table attended-Agency Ai may prove that it is an example as the second engine feature is somewhat strong.
Being a second, especially useful engine when the benefits of new technology are unconfirmed and the risks are high, because what you lose in the speed you gain in information. You can see what the first drivers do, a sign of blind alleys and their mistakes, then draw a more effective path. You are more likely to avoid being closed to technological sellers who spoil your workflow but their products prove that they are insufficient. A Modern report Written by MCKINSEY, which calls AIC AI, warns a full set of other risks as well, such as “uncontrolled autonomy, arrival to the system, inaccurate observation and the ability to track, expand the scope of the attack, supply the worker and duplication.”
My argument here is not against the idea that some companies should move quickly (as is the case, they are), but simply that “leaving” temporarily “can be a valid strategy as well. This does not necessarily mean that you will be a long -term loser. One. One. One. One. Ticket Who adopted technology by the UK circles in 2010 (although this was a previous generation of artificial intelligence techniques before predicting) found that companies that adopted artificial intelligence have a higher innovative ability, regardless of whether it was the first to have second positions or two seconds.
In fact, the message that you must “behave or miss” shares more high -pressure sales techniques than a business strategy. Using retailers online “Urgency claims” Like counting hours because they work: Academic literature indicates that consumers under time pressure use mental shortcuts to make decisions. The urgency demands can also be implanted for fear of losing, a sense of competition with others, and “the effect of the vehicle” where people are given the impression that anyone else is doing it already or buying something.
It should not be surprising that technology companies use these well -known marketing strategies: they have something to sell, and a lot of terrible Capital investment They need to return. But there is no need for politicians and business leaders to hesitate, especially by extending the threat to employees. It is known in neuroscience that when the system of fear in the brain is active, its ability to explore, innovation and risk diminish. If you want employees to try how to perform artificial intelligence effectively, make them fear their jobs is not the best way to do this. They are also less likely to be frank about the emerging risks, for fear that they will look like a rejection.
It is justice enough for technology that is sold for sale to urge the world again and again to “behave now or lose.” But the rest of us do not need to confuse sales technology with anything deeper.
