Category: AI in Enterprise

Companies that rushed to deploy AI assistants are now facing unexpected five-figure bills from uncontrolled API usage. Finance and IT leaders are responding with quota systems, internal chargebacks, and a harder look at which AI experiments actually deliver value.

A steady stream of senior AI researchers continues to leave Google for rivals and startups, raising questions about where cutting-edge capabilities will emerge next. For enterprises betting on Google’s AI roadmap, this talent shift demands a harder look at vendor diversification.

The Bangalore-based engagement platform is pushing a vision where autonomous AI agents handle marketing at massive scale. For CIOs and CMOs, the real challenge isn’t adoption — it’s governance, cost control, and keeping your data from becoming a liability.

Fika Jobs just raised $4M to let AI agents interview candidates on video. For HR and tech leaders, the real question isn’t whether this works — it’s how to validate fairness claims and protect your company from regulatory risk.

Companies across the tech sector are increasingly citing AI as the reason for workforce cuts in 2026. For Indian CIOs and founders, this trend signals an urgent need to rethink workforce strategy before the next budget cycle.

OpenAI has launched an initiative to identify and patch security vulnerabilities in widely used open-source AI codebases. For companies building on open-source components, this creates both an opportunity and a new operational requirement.

BCI technology is moving from research labs into regulated clinical trials at a pace that should have healthcare and enterprise leaders paying attention. The next 18 months will separate companies watching from the sidelines from those positioned to integrate neurotech into their digital strategies.

Joey Zwillinger, co-founder of sustainable footwear brand Allbirds, has announced a pivot into artificial intelligence. The catch: reports suggest he has no operational team yet, raising hard questions about execution risk for anyone considering partnerships with brand-led AI ventures.

Organisations across industries are reporting AI costs that have ballooned far beyond initial estimates, with some seeing 5x to 10x increases in just six months. The response isn’t panic — it’s the rise of cost-engineering as a core discipline.

A recent hack at Meta reveals that AI systems carry security risks that conventional cybersecurity frameworks weren’t built to catch. For enterprises deploying AI, this means security audits need a complete overhaul — starting now.