Pika is no longer just a video generation tool. The startup that raised $135 million to build an AI video generator has evolved into building AI agents and avatars, marking a significant departure from its original mission. This shift reflects a broader trend among well-funded artificial intelligence startups that are abandoning flashy demos and pivoting toward products that actually generate sustainable revenue.

Why Are AI Startups Abandoning Their Original Products?

The past few years have created a unique moment in startup history. Founders raised enormous sums of capital based on compelling visions of what AI could do, only to discover that users weren't willing to pay for those products at scale. The fast-paced nature of AI development has made it even harder to stay defensible; models improve so rapidly that the market constantly shifts, leaving early movers vulnerable to newer competitors.

Keith Peiris, founder of Tome, experienced this firsthand. His AI-powered presentation startup became the fastest productivity tool to reach 1 million users and eventually grew to 25 million users. He raised $80 million from top-tier investors including Lightspeed Venture Partners, Coatue, and Greylock. Yet by late 2024, Peiris realized the business model wasn't working. Most users were on free plans or paying just $10 monthly, leaving the company with only about $3 million in annual revenue despite massive user growth.

Peiris shut down Tome in March 2025, laid off most of his 70-person team, and kept just six employees. Eight months later, he launched Lightfield, an AI software tool that helps salespeople with tasks like summarizing calls, writing follow-up emails, and tracking client interactions. The new product is working; Lightfield now has 1,000 paying customers including Substack, Goodfire, and IntentHQ, with revenue growing 80 percent every month.

How Are Successful Pivots Different From Failed Ones?

The difference between Peiris's pivot and many others is that he had enough capital and team talent to try again. His previous backers are all participating in new funding rounds for Lightfield. But not every startup has that luxury. The pivot strategy works best when founders have three key ingredients: remaining capital in the bank, a talented team, and enough customer traction on the new product to keep investors and employees focused on the future rather than dwelling on past failures.

"I think that there was animated discussion, but I think eventually everyone came around to it," Peiris said about his investors' initial skepticism of the pivot into customer relationship management software.

Keith Peiris, Founder of Lightfield

Character AI, another early AI darling, has undergone a similar transformation. Founded by Google DeepMind researchers Noam Shazeer and Daniel De Freitas in 2021, the startup raised about $200 million to build AI characters that anyone could chat with. Google eventually acquired the founders and licensed the technology for $2.7 billion. After facing lawsuits and banning users under 18, the company shifted away from training its own models and now uses open-source software instead. Rather than chasing venture capital, Character AI is now fully bootstrapped and owned by its employees, focusing on monetization through advertising and in-app purchases.

Steps to Understanding the New AI Startup Playbook

• Recognize the Shift: Successful AI startups are moving away from consumer-facing demos and toward business-to-business tools that solve specific problems for paying customers with clear budgets.
• Understand the Capital Advantage: Companies that raised substantial funding early can afford to pivot because they have cash reserves and GPU capacity to experiment with new products without immediately running out of money.
• Track Revenue Over Users: The new metric that matters is not how many people use a product for free, but how many are willing to pay and how quickly revenue grows month over month.
• Watch for Infrastructure Plays: Some pivots involve spinning off infrastructure components into separate companies, as happened with Poolside, which split into PIC (infrastructure) and a separate entity focused on building models.

Aditya Agarwal, a general partner at South Park Commons, a venture capital firm that works with tech founders, explained the broader pattern: "As frontier models end up taking more and more oxygen in the room, I think what you'll find is that a subset of these hot companies will either do hard pivots or more likely they will find parts of infrastructure that they have built that they might want to spin out".

Poolside provides a cautionary example of how pivots can go wrong. The startup raised $620 million to train AI coding models from scratch but announced plans in late 2025 to construct a massive data center in West Texas called Project Horizon with CoreWeave. That effort fell apart after Poolside couldn't get chips online by CoreWeave's deadline, according to the Financial Times. The company then split itself into two separate entities.

The lesson for investors and founders is clear: in the AI era, having a great team and substantial capital is no longer enough. Companies must also demonstrate that they can adapt quickly when market conditions change, find customers willing to pay, and build sustainable business models rather than relying on the assumption that venture capital will flow indefinitely. The startups that survive won't be those with the flashiest demos, but those that can pivot toward revenue before their runway expires.