- Today On AI
- Posts
- Reddit looks to AI search as its next big opportunity
Reddit looks to AI search as its next big opportunity
AND: Sapiom raises $15M to help AI agents buy their own tech tools
Danish Anwar
February 09, 2026
✨TodayOnAI’s Daily Drop
Reddit looks to AI search as its next big opportunity
Sapiom raises $15M to help AI agents buy their own tech tools
Amazon and Google are winning the AI capex rac
💬 Let’s Fix This Prompt
🧰 Today’s AI Toolbox Pick
| 📌 The TodayOnAI Brief |
🚀 TodayOnAI Insight: Reddit is positioning its AI-powered search as a major growth engine, signaling that generative answers—paired with traditional search—could unlock a large new revenue stream. With rapid user adoption and plans to personalize search for everyone, Reddit is reframing itself from a social forum into a go-to destination for answers.
🔍 Key Takeaways:
Reddit plans to merge its traditional search with AI-powered Reddit Answers, betting generative search is “better for most queries.”
Weekly active search users grew 30% year-over-year, from 60M to 80M; Reddit Answers jumped from 1M to 15M weekly users in 2025.
The company is modernizing AI answers with richer media, new languages, and dynamic agents embedded directly in search results.
Reddit will remove the logged-in vs. logged-out experience starting Q3 2026, using AI-driven personalization for all visitors.
Content licensing for AI training continues to grow, with non-ad revenue reaching $140M in 2025, up 22% year-over-year.
💡 Why This Stands Out: Reddit’s strength isn’t just data—it’s perspective. By leaning into “questions with no single answer,” the company is carving out a niche where generative AI excels. If Reddit can successfully monetize search without eroding trust, it could redefine how AI-native discovery platforms compete with traditional search giants.
Sapiom
🚀 TodayOnAI Insight: As “vibe coding” tools let nontechnical users build apps from plain-language prompts, a new bottleneck is emerging: payments and backend services. Sapiom, a new startup from a former Shopify payments leader, wants to become the financial infrastructure that lets AI agents autonomously pay for the tools they use.
🔍 Key Takeaways:
Infrastructure for AI agents: Sapiom is building a financial layer that allows AI agents to securely purchase APIs, software, data, and compute on their own.
Removing backend friction: The platform abstracts authentication, billing, and micropayments when agents connect to services like Twilio, AWS, or Stripe.
Built for enterprises: Unlike consumer-focused AI payments tools, Sapiom is targeting B2B use cases where agent autonomy must work at scale.
Strong investor backing: Accel is leading Sapiom’s $15M seed round, joined by Okta Ventures, Gradient Ventures, Menlo Ventures, Anthropic, and others.
Vibe coding unlock: App builders won’t need to manually manage API keys or credit cards—usage costs are handled seamlessly in the background.
💡 Why This Stands Out: As AI agents evolve from demos into production systems, payments become a core dependency, not an afterthought. Sapiom reframes every API call as a financial transaction—an insight that could quietly underpin the next generation of autonomous software. The question isn’t whether agents will act independently, but who controls the rails they run on.
Amazon
🚀 TodayOnAI Insight: Big Tech is escalating an unprecedented spending war for AI infrastructure, with Amazon, Google, Meta, and Microsoft committing hundreds of billions to data centers and compute—even as investors recoil at the price tag. The bet: owning compute is the only way to win the AI era, regardless of near-term market pain.
🔍 Key Takeaways:
Amazon leads the pack, projecting $200B in capex through 2026 across AI, custom chips, robotics, and satellites—up sharply from 2025.
Google follows closely, forecasting $175B–$185B in 2026 capex, nearly doubling its prior-year spend.
Meta plans $115B–$135B, while Microsoft’s run rate suggests ~$150B, despite growing investor pressure.
Investor backlash is real: stocks fell across the board, with higher spenders seeing steeper drops.
The shared thesis: high-end compute will become the scarcest strategic resource in AI’s next phase.
💡 Why This Stands Out: This isn’t reckless spending—it’s a structural bet that AI economics will reward scale and vertical control. Still, the gap between infrastructure ambition and proven AI profits is widening fast. The open question: how long will markets tolerate trillion-dollar visions without clearer returns?
| 💬 Let’s Fix This Prompt |
✨ See how a simple prompt upgrade can unlock better AI output.
🔹 The Original Prompt
"Generate blog ideas for a tech company."
At first glance, this prompt might seem okay. But it's too broad — and that limits the quality of AI-generated results. Let’s improve it using prompt engineering best practices.
✅ The Improved Prompt
Generate a list of unique, engaging blog post ideas for a B2B tech company that wants to attract decision-makers in mid-sized companies. Focus on topics related to emerging technology trends, industry insights, and practical solutions their software offers. Include suggested titles and a 1–2 sentence summary for each idea.
💡 Why It's Better
Specific audience: Targets decision-makers in mid-sized companies.
Contextual focus: Emphasizes emerging tech and practical solutions.
Actionable output: Requests summaries and titles to spark execution.
Tone and style: Guides the type of content (insightful, engaging, relevant).
🛠️ Learn how to adapt this prompt for SaaS, AI tools, dev teams & more →
Read the full PromptPilot breakdown
💡 Bonus Tool: Want to generate and master prompts instantly?
👉 Try PromptPilot by TodayOnAI (Free to use)
| 🧠 Smart Picks |