Podbit · The Prof G Pod with Scott Galloway
In 1998, economists Pine and Gilmore predicted economies would evolve toward staging memorable experiences. Galloway argues digital atomization and pandemic scarcity proved them right — experience is now the ultimate premium.
Where this was said
At 2:10 · chapter starts 1:38
The essay proper begins with Galloway's arresting observation: watching the World Cup, he's seen more men embrace in two weeks than in two years — evidence that football generates a beautiful byproduct: togetherness. From there, he pivots to the macro claim that will anchor the entire piece: the biggest trend of 2026 isn't AI chatbots, it's IRL experiences [1] — George Hahn "The biggest trend of 2026 isn't AI chatbots — it's IRL experiences. From the World Cup to movie theaters to live concerts, people are choos…" 01:40 . To ground this, he reaches back to a 1998 Harvard Business Review article by Joseph Pine and James Gilmore, who coined the term 'experience economy' and argued that economies progressively evolve from commodities to goods to services to experiences, with each stage becoming more personalized, immersive, and emotionally resonant. Their formulation — 'commodities are fungible, goods tangible, services intangible, and experiences memorable' — serves as the conceptual spine for everything that follows.
The biggest trend of 2026 isn't AI chatbots — it's IRL experiences. From the World Cup to movie theaters to live concerts, people are choosing real-world togetherness over digital convenience.
Scott Galloway argues the biggest trend of 2026 isn't AI chatbots but IRL, in-person experiences, exemplified by the World Cup.
Since 1960, US consumers have increased their share of discretionary spending devoted to experiences by 60%, while spending on goods fell 35%.
SiteGPT attracted over 1 million visitors and $500K in total revenue without spending a cent on paid marketing. The secret: engineering as marketing — building free tools that rank on Google.
Bhanu quit his first job after just 8 months, moved back to his parents' house to cut costs, and started building. One product sold for $250K; the next hit $10K MRR in its first month.
90% of SiteGPT's Google search traffic comes not from the main product but from ~50 free tools Bhanu built. Each tool targets a low-competition keyword and funnels users back to the paid product.
50,000 monthly visitors become 200 leads, 60 trials, and roughly 15–24 new customers per month at ~$100 average revenue each. Add a $1,700–$1,800 LTV and you have a very healthy SaaS.
Start with a blank Ahrefs search, layer in keyword filters (include term, KD < 10, volume > 1,000), list candidates in Notion, design a CTA linking to your main product, then score by volume, difficulty, build effort, and product relevance. That's the whole playbook.
Marketing feels painful for most builders. Engineering as marketing flips the script: instead of writing cold emails or blog posts, you build things — and those things rank on Google forever.
Don't spend months perfecting before launch. Ship the core feature, get real users, and let their feedback dictate the product roadmap. Premature polish is a trap.
SiteGPT launched and hit $10,000 MRR within its first month. That momentum was so overwhelming that Bhanu sold his existing SaaS, Feather, for $250,000 to free up all his time.
PropGPT launched with 20 downloads a day and strong influencer marketing but hit a ceiling at $1,000–$2,000 MRR. High download numbers masked a critical flaw: almost nobody stuck around after the free trial ended.
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