"Despite $30–40 billion in enterprise investment into GenAI, this report uncovers a surprising result in that 95% of organizations are getting zero return. [...] The core barrier to scaling is not infrastructure, regulation, or talent. It is learning. Most GenAI systems do not retain feedback, adapt to context, or improve over time."
I can't take paper seriously when they have sentences like this:
> In an agentic web, systems will autonomously discover optimal vendors and evaluate solutions without human research, establish dynamic API integrations in real-time without pre-built connectors, execute trustless transactions through blockchain enabled smart contracts, and develop emergent workflows that self-optimize across multiple platforms and organizational boundaries. Early experiments show procurement agents identifying new suppliers and negotiating terms independently, customer service systems coordinating seamlessly across platforms, and content creation workflows spanning multiple providers with automated quality assurance and payment.
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[ 3.4 ms ] story [ 17.1 ms ] thread> In an agentic web, systems will autonomously discover optimal vendors and evaluate solutions without human research, establish dynamic API integrations in real-time without pre-built connectors, execute trustless transactions through blockchain enabled smart contracts, and develop emergent workflows that self-optimize across multiple platforms and organizational boundaries. Early experiments show procurement agents identifying new suppliers and negotiating terms independently, customer service systems coordinating seamlessly across platforms, and content creation workflows spanning multiple providers with automated quality assurance and payment.
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