Articles about AI, machine learning and conversational assistants
10 articles
Conversational AI is redefining access to healthcare, from ChatGPT Health to MedGemma, becoming the new front door to the medical system.
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AI isn’t destroying jobs—it’s quietly closing the door to new entrants and reshaping the definition of employability.
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AI promises to boost productivity, but the reality is more nuanced. Why do managers feel more efficient than their teams?
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Microsoft is rolling out Anthropic’s Claude Code across its engineering teams — a strategic move we at Leadkong fully applaud.
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2026 may be the year interface-native AI takes over: agents designed to operate real UIs across mobile/desktop with split on-device + cloud intelligence and task-completion benchmarks like AndroidWorld/MobileWorld.
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Daniela Amodei argues AI’s real bottleneck isn’t model capability—it’s enterprise adoption. Models may keep improving fast while real workflows, governance, and change management lag behind.
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AI adoption does not always reduce costs. Real-world data shows that automation can be more expensive than human labor when deployed at scale.
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ChatGPT is undergoing a major shift toward a search, advertising, and commerce-driven model. Behind technical signals lies a deeper reality: generative AI must evolve economically to survive. Strategic analysis by the Leadkong team.
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SEO is not dead. It is evolving into something broader and less predictable.
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2026 is the beginning of a new phase in AI tools. We are moving from assistants that merely respond to instructions to agents that execute real work.
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