Manage episode 513676343 series 3553756
Sponsored and boosted content is a reality of web searches these days, making it harder for consumers to find agnostic product recommendations. Consumers who want to cut to the chase will increasingly use LLMs. Chatbots can quickly comb the web to help consumers research products and serve up recommendations that fit personal needs and tastes. BCG’s Andrej Levin explores how consumers will use LLMs to transform the car buying experience and how CEOs across industries can position their companies to thrive in this burgeoning AI-enabled consumer journey.
Learn More:
Andrej Levin: https://on.bcg.com/4nSUluo
BGC’s Latest Thinking on Automotive: https://on.bcg.com/4mYjenj
Will AI Become the Best Car Sales Advisor?: https://on.bcg.com/46Na1cy
Chapters
00:00-02:38 The scenario: AI reinvents how consumers shop
02:39-04:00 How are people already shopping for cars with AI?
04:01-05:20 How will information reach consumers using LLMs to buy cars?
05:21-08:04 Who controls the information LLMs access?
08:05-09:41 What happens to brands that lag behind?
09:42-11:07 What happens to customer loyalty?
11:08-13:12 How can auto manufacturers approach regional differences?
13:13-14:23 How will LLMs merge with the web and traditional search?
14:24-17:18 Will your car sensors help serve up recommendations?
17:19-19:43 How can AI improve financing in car buying?
19:44-20:15 Bill and GENE teaser
20:16-22:38 How can AI assist with everyday purchases?
22:39-24:53 Can retail shopping experiences compete with LLMs?
24:54-26:00 Will mass market brands break down?
26:01-27:32 Who will be in control of consumers’ data?
27:33-29:20 Will sponsored content find its way to chatbots?
29:21-31:46 How can business leaders ensure their product shows up in LLMs?
31:47-32:33 What could disrupt this future?
32:34-33:34 What no-regret move could CEOs make now to prepare?
33:35-36:36 Bill and GENE: How to become visible in LLM search
36:37-37:20 Outro
This podcast uses the following third-party services for analysis:
Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp
45 episodes