anymore. Those tools are often integrated into the software you use. We are going to start seeing the positive impact of this technology. The second thing that’s on my desk is consumer trends and what citizens are going to do. In 2024, 41% of the world population is going to vote in a general election. Not only in the United States, but there are some in Europe, there will be an election in the UK, and so on—how is that going to impact consumer sentiment? What is going to be the outcome, the macro-learning from this election? This can have big consequences in terms of policies for industries. Think of the EV car market, for example. That’s a concrete example of where governments are sometimes incentivizing people to buy a new EV car. Will governments still do this? I’m just illustrating how this is going to impact the consumer and therefore the corporate world. FAILING FASTER One improvement overall is that I think initiatives will move faster. You can test things faster, go to market faster, and take risks on a smaller scale. This also applies to creating advertisements. Put it this way, if you were to produce an ad for a new car, well, that’s going to take three months and $500,000. You go to SoHo in New York, and you want to shoot with
the right light; the outcome can be great, but yet it’s complicated and expensive. “By automating, innovators can focus on what AI cannot do: ideate, develop a vision, and do the consulting.” Moving forward, you should be able to test iterations of this ad faster. You should be able to leverage the technology to create those storyboards much faster and test them with market research functions in a matter of days, sometimes hours. In innovation, I see the opportunity to fail faster and to fail cheaper. You can apply the same reasoning to developing new products and new services, whereby you can test and learn much faster and succeed or fail much faster and much cheaper than in the past.
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