So, depending on the size of the company, hardware, software or labor costs, you need to be prepared to spend anywhere from a few thousand dollars to several million. This can be extremely costly for new companies, as ebay database well as those still in their early stages of development.
Take Gong as an example. If you want to harness the power of this sales intelligence platform, you’ll need to shell out around $29,000 a year for 15 people on your sales team.
Bottom line: It’s for companies that invest in operations optimization and see improvements in ROI.
►5. Lack of integration
16 % of sales professionals cited lack of integration with existing systems/data as a major obstacle. Since it requires a solid understanding of current AI technologies, sales reps should also be trained on how to use this technology, troubleshoot issues, and detect when it is underperforming.
Additionally, if there is a need to integrate AI with internal tools, the knowledge of a field specialist is required. Similarly, incorporating AI into your workflow can be much more than downloading software or signing up for a tool.
When it comes to open source AI solutions, it is critical to have the right resources, such as storage and infrastructure, before you get your hands on them.
►6. Discrimination and bias
Discrimination and biased information are other major concerns with AI in sales. Today, 14% think AI-generated content is biased . Since AI learns from data, it can perpetuate biases from inaccurate data sets.
When it comes to discrimination, things can get out of hand.
For example, a facial recognition system can be trained to detect white faces faster than dark ones.
This is because such data has been used in training more frequently and can raise controversial issues, such as racial bias.
In the real world
In 2015, Amazon used AI to collect resumes for recruiting purposes. The company’s experimental hiring tool gave candidates scores from 1 to 5. However, it soon learned that female resumes had been automatically rejected.
Upon further investigation into the issue, the company found that the AI was trained to detect patterns from resumes submitted over the past 10 years. Since most of the CVs came from men, the technology followed the same pattern it was trained on.
►7. It’s not really useful
Of those surveyed, 12% think that AI is difficult and not the right tool to achieve the desired goals. This is quite surprising since artificial intelligence is booming and is used in many industries. At the same time, it is a clear indicator that it still has room for improvement in terms of simplicity and accessibility.
►8. The information it provides on industry trends is outdated
AI is undoubtedly revolutionizing the sales industry, but 7% of salespeople think they shouldn’t trust artificial intelligence blindly. It’s not uncommon for AI to often provide outdated information that still needs to be validated by different sources. Moreover, it doesn’t keep up with industry trends.
The reason is that AI tools like ChatGPT have been trained on outdated data from 2021 and 2022, so they cannot provide fresh statistics/data. And OpenAI's access to the live internet still fails to capture up-to-date information.
