Articles / fintech / Gartner survey finds AI saves sellers nearly 5 hours per week, yet 72% of sales organizations fail to reinvest time in high-value activities
Gartner survey finds AI saves sellers nearly 5 hours per week, yet 72% of sales organizations fail to reinvest time in high-value activities
Time Saved Per Week
4.8 hours
Average time saved by sellers using AI tools
Reinvestment Gap
72%
Percentage of sales organizations failing to reinvest time savings into high-value activities
Growth Goal Success Rate
2.2x
Likelihood of organizations exceeding customer growth goals when reinvesting AI time savings into high-impact activities
⦿ Executive Snapshot
- What: Gartner's survey reveals AI tools save sellers nearly 5 hours weekly, yet many organizations fail to reinvest this time into high-value activities.
- Who: Gartner, sales organizations, chief sales officers (CSOs).
- Why it matters: The findings highlight a significant reinvestment gap that limits the potential of AI in enhancing sales productivity and overall commercial performance.
⦿ Key Developments
- AI tools deliver an average time saving of 4.8 hours per week for sellers.
- 72% of sales organizations report low reinvestment of time savings into high-value sales activities, creating a reinvestment gap.
- Organizations that reinvest AI time savings into high-impact activities are 2.2x more likely to exceed customer growth goals.
- 25% of sales organizations report a 50% or higher return on AI investments, while 20% report a 50% or higher negative return.
- Productivity innovators build strong data infrastructure and reinvest AI time savings to improve seller performance and commercial outcomes.
⦿ Strategic Context
- The ongoing challenge in sales productivity is exacerbated by operating models that primarily scale through increased headcount rather than leveraging technology effectively.
- The divide between successful and struggling sales organizations indicates that access to AI technology alone does not guarantee value; success depends on system redesign around sales processes.
⦿ Strategic Implications
- Immediate consequences include a potential shift in how sales organizations structure their operations to better utilize AI for productivity gains.
- Long-term implications suggest a transformation in sales strategies, emphasizing data-driven decision-making and system redesign to enhance seller performance.
⦿ Risks & Constraints
- A potential risk is the failure of sales organizations to adopt necessary changes in their operating models, which could result in continued low productivity despite AI investments.
- Competition among organizations that successfully reinvest AI time savings may create disparities in sales performance and market share.
⦿ Watchlist / Forward Signals
- Monitoring the reinvestment strategies of sales organizations will provide insights into future productivity trends and AI effectiveness.
- Upcoming reports on AI impact on sales metrics, including customer growth and conversion rates, will signal the success or failure of the current strategies employed by sales organizations.
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