- Most financial directors say they still can’t earn money with AI
- Traditional pricing fails in an economy of artificial intelligence focused on use
- The monetization of the AI is now firmly on the list of priorities in the conference room
Artificial intelligence transforms each industry, but a new report said that many companies do not take its financial value.
A global study of 614 leaders carried out by DigitalRout revealed that nearly three -quarters (71%) said they had trouble monetizing AI effectively, despite almost 90% to appoint a critical mission priority over the next five years.
According to data, only 29% of companies have a model of monetization of the AI operating, and the others experience or “blind flying”, according to data, and more than two thirds (68%) of technological companies claim that their traditional pricing strategies are no longer applicable in an AI economy.
Second rush to digital gold?
“The AI is in the second rush to digital gold,” said Ari Vantinen, CMO at DigitalRout. “But without visibility in terms of use, companies play prices, profitability and even the viability of products. Our data show that CFOs urgently need real -time management and income management to transform AI of a cost line into a real engine to profit. ”
The conference rooms take note of this – almost two thirds (64%) of those questioned say that the monetization of AI is now an official priority of the board of directors, but only one in five business can follow the consumption of individual AI, leaving the financial teams with limited tools for a precise invoicing, a forecast or a margin analysis.
70% of CFOs cite the complexity of prices as the largest obstacle to scaling AI, and more than half signal a disalculation between financial teams and product teams.
Inherited systems are also a challenge: 63% of companies are investing in a new income management infrastructure, recognizing that traditional quote systems are not suitable for US -based AI price models.
The study also highlights regional differences. The Nordic countries lead to implementation but fight with profitability, while France and the United Kingdom have more solid early commercial yields. The United States remains a world leader in AI development, but the data suggests a slightly more cautious approach to organizational monetization.
Although American companies clearly understand the importance of AI, many always develop the internal executives necessary to evolve effectively.
The United States obtains scores strongly on a perceived meaning but is slightly delayed behind the United Kingdom in terms of perceived criticality, indicating a wider and more experimental AI culture which has not yet completely transferred to commercial execution.
The report recommends three stages for success: first, the consumption of AI of the meter in terms of functionality; Second, prices based on the value of the model and based on use before launch; And third, align the teams of products, finance and income around shared data.
As Vantinen says, “each prompt is now a income event. When companies can see, the price and the invoice for the use of AI in real time, they unlock the margins that the market awaits. ”
