The Experts Speak!
Lecinski emphasizes a strategic approach to generative AI. He argues that Jeannie’s current mindset is heavily based on FOMO, the fear of missing out, prioritizing pioneering over sound business strategy, which could- and has- alienated employees and clients. PulsePoint’s largest customer, Orion, already expressed pulling out due to concerns about data privacy and losing the “human touch”, which emphasizes the risks of hasty deployment. Instead of rushing, Lecinski suggests focusing on improving profitability by integrating Gen AI internally, such as with prospect ranking or sales training, which could improve margins without risking reputational damage or forcing loyal customers to adopt a new experience.
Conversely, Shah supports moving quickly to stay ahead of the competition, especially with technology as fast-moving as AI. He highlights the potential to transform the customer experience by delivering competence, consistency, and convenience at unprecedented levels. However, like Lecinski, Shah is also of the opinion of a partial implementation instead of a full-blown transition with a hybrid autonomous chatbot, giving loyal clients the option to opt out of the model. He prioritizes to benefits of innovation due to its grand potential to enhance the customer experience and warns Jeannie against excess deliberation, lest PulsePoint fall behind.
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Based on this…
I find myself heavily leaning towards Lecinski’s perspective, as even before I read his response, I joked to my friend that I was reading about “AI FOMO.” His strategy-first approach greatly resonated with me, especially with technology as new and untested as AI. To me, Jeannie’s rush for this shiny development mimics the trends of the biggest companies in the world.
The race for AI dominance has caused many-a companies to release half-finished models in an attempt to keep up. Meta’s Galactica AI was prematurely launched as a tool for generating scientific text. Instead, the model frequently produced “biased and incorrect nonsense” (MIT Technology Review), leading to its withdrawal three days after its launch. Similarly, Google hesitated to release their model, Bard, due to the lack of testing on ethical considerations with its dangerously incorrect responses (They still launched it anyways, the result of what’s happening in the US is being called an “experiment.” Huh.). There have been calls for legislation to slow down this race for companies to carefully examine what they’re putting out in the world.
As such, like Lecinski, I agree that PulsePoint can still explore this new technology in a responsible manner without first exposing their consumers to its risks. PulsePoint could pilot Gen AI internally first, using it for non-customer-facing tasks to build confidence in the technology. Gradual external implementation with human oversight would help maintain trust while allowing the AI to learn and improve. This phased approach minimizes risks while positioning the company to benefit from AI’s transformative potential.
Once the technology’s stability is confirmed, they need to consider the wants of their customers and target market, and examine how GenAI aligns with their needs and expectations. Beta testing should be conducted, potentially with Shah’s proposed hybrid system, to first have controlled exposure with select clients and use their feedback to determine next steps. Both experts highlight important considerations, and so I believe a balanced approach of both could work best which is strategic, yet fluid based on consumer response and testing. This way, PulsePoint can responsibly navigate the challenges of AI adoption, ensuring customer trust remains strong and setting themselves up for long-term success.
