Why Is AI Failing Fund Marketing
The artificial intelligence bubble feels fit to burst
Digitalisation has been lightning-fast this side of the millennium, and AI represents one of its most seismic underground to mainstream hits. It’s not just a talking point: it’s a data processing behemoth with a predictive analytical mind beyond comprehension.
So much so that an estimated $35 billion has been invested in fintech AI applications. The returns of which, however, have been diminishing. For all its positives for personalisation, automated outreach and data segmentation, funds are struggling to see how it empowers their marketers to set their offerings apart. Investment is a people’s industry requiring customer psychology, storytelling and relationship building to excel – areas where AI capability is constantly playing catch up.
Given these costly moves the financial industry has taken and the technology’s growing sophistication, AI is not going anywhere.
In this comprehensive report, we’ll cross-examine why firms are not currently harnessing its forecasted ‘revolutionary’ use, citing data quality, lack of expertise and contextual understanding, availability, over-reliance on automations, and ever-looming financial compliance, which are getting stricter with AI’s own legal hurdles.
Beyond the pitfalls that have claimed early adopters, we’ll also offer constructive ways to implement AI that do have proven marketing outcomes and leave room for the most powerful factor for decision-making: authentic, human creativity.
Paul Das
CEO
ProFundCom







