workforce automation AI News & Updates
Goldman Sachs Deploys AI Coding Agent Devin as Digital Employee
Goldman Sachs is implementing Cognition's AI coding agent Devin as a "new employee" to augment its workforce of 12,000 human developers. The bank plans to deploy hundreds to potentially thousands of Devin instances in a supervised hybrid workforce model.
Skynet Chance (+0.03%): The deployment of AI agents as "employees" in critical financial infrastructure represents a step toward AI systems having more autonomous operational roles, though the supervised hybrid model provides human oversight.
Skynet Date (+0 days): Large-scale deployment of AI agents in enterprise environments accelerates the normalization of AI autonomy in critical systems, though the pace impact is modest given the supervised nature.
AGI Progress (+0.02%): The commercial deployment of AI agents capable of complex coding tasks at enterprise scale demonstrates meaningful progress in AI capability and real-world applicability. The scale of deployment (hundreds to thousands of instances) indicates the technology has reached practical maturity.
AGI Date (+0 days): Major financial institutions adopting AI agents for core technical work accelerates the practical development and refinement of AI capabilities through real-world application and feedback loops.
Corporate CEOs Issue Dire Predictions About AI-Driven Job Displacement
Multiple corporate CEOs, including leaders from Anthropic, JPMorgan, Amazon, and Ford, are publicly warning about massive AI-driven job displacement, with predictions ranging from 10% workforce reductions to half of all white-collar jobs being eliminated within five years. This represents a dramatic shift from previous cautious corporate messaging about AI's impact on employment, suggesting major workforce restructuring is imminent.
Skynet Chance (+0.01%): While massive job displacement could create social instability that might lead to rushed AI deployment decisions, this news primarily reflects economic disruption rather than direct AI safety or control concerns.
Skynet Date (-1 days): The aggressive corporate timeline predictions (5 years for massive displacement) suggest faster AI deployment than previously anticipated, potentially accelerating the pace toward advanced AI systems without adequate safety considerations.
AGI Progress (+0.02%): Corporate leaders' confident predictions about replacing half of white-collar workers within five years indicates they believe current AI capabilities are advancing rapidly toward human-level performance across cognitive tasks.
AGI Date (-1 days): The shift from cautious to aggressive corporate timelines suggests AI capabilities are developing faster than expected, with leaders now confident enough to make public predictions about near-term massive job displacement.