Five Trends in AI and Data Science for 2026 (5 minute read)
AI trends for 2026 include the deflation of the AI bubble, growth of AI infrastructure, focus on generative AI, progression of agentic AI, and ongoing data/AI management challenges.

Leaders 💼 | 2026-02-09
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Learn More →AI trends for 2026 include the deflation of the AI bubble, growth of AI infrastructure, focus on generative AI, progression of agentic AI, and ongoing data/AI management challenges.
Netflix's $82B acquisition of Warner Bros. signals a strategic shift towards owning scarce IP as AI drives content abundance, potentially forcing reevaluation of build-vs-buy AI strategies.
Stripe's Agentic Commerce Suite simplifies selling on AI agents, enabling businesses to reach new customers and drive growth through a single integration.
OpenAI launched Frontier, a platform for enterprises to build and deploy AI agents like human employees.
Cybersecurity must evolve to safeguard human decision-making, not just systems, as AI and automation increase cyber risks.
Reddit said during earnings it's looking to buy 'capabilities' and 'companies.'.
The acquisition could mark the beginning of consolidation in the carbon-removal market since removal costs remain higher than buyers would like to pay..
We’re starting to see the idea of Musk-owned orbital AI data clusters cohere into an actual plan..
The post Partnering with Serval: Empowering IT for AI Enterprise Automation appeared first on Sequo...
Widespread workforce mental health struggles negatively impact job performance, requiring leaders to build resilient systems that prevent burnout, not just respond to crises.
AI companies are shifting from chatbots to managing teams of AI agents that divide tasks and run concurrently, aiming to boost productivity but facing questions about reliability.