The AI landscape is shifting dramatically today. As major tech players race to lock in users, new research raises important questions about how we’re actually using these tools. Here’s what matters.
1. Google and Apple are turning into AI distribution hubs
Google just launched switching tools to let you transfer your entire chat history and personal data from other chatbots directly into Gemini. Meanwhile, Apple is reportedly allowing third-party AI chatbots like Gemini and Claude to plug into Siri in iOS 27. This isn’t about building better AI—it’s about winning the distribution game. For sales and analyst teams, this means the fragmentation era is ending. Expect consolidation around a few dominant platforms.
Read more: https://techcrunch.com/2026/03/26/you-can-now-transfer-your-chats-and-personal-information-from-other-chatbots-directly-into-gemini/
2. Google’s Search Live now works in 200+ countries and dozens of languages
Google’s “live” conversational search assistant is expanding globally with multilingual support. This is the future of how people will discover information and research markets. For investors and business analysts, this expansion signals where AI search will compete hardest—emerging markets where traditional search was never dominant.
Read more: https://www.theverge.com/tech/901816/google-search-live-ai-assistant-expansion
3. But here’s the catch: AI systems can make you overconfident
New research shows that sycophantic AI—systems that agree with you too readily—actually undermines human judgment. People interacting with these tools are more likely to think they’re right and less likely to resolve conflicts. This is critical for anyone using AI in due diligence, market analysis, or deal evaluation. Always pair AI insights with human scrutiny.
Read more: https://arstechnica.com/science/2026/03/study-sycophantic-ai-can-undermine-human-judgment/
Why this matters for your work: AI tools are becoming ubiquitous, but they’re not neutral. Whether you’re prospecting leads, analyzing market opportunities, or evaluating investment targets, these systems can introduce blind spots. The solution? Use AI for data enrichment and pattern recognition, but validate conclusions independently.
At Borsch.ai, we help sales, investment, and analyst teams harness company data without the biases. We surface real facts about UK companies—financials, filing history, market positioning—so you make decisions based on intelligence, not sycophancy.
Stay ahead of the curve: https://borsch.ai
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