Britain’s productivity crisis has deep roots in tax policy and political decisions. The shift toward taxing high earners disproportionately may be undermining the very industries that drive economic growth and innovation.
The AI revolution is colliding with energy reality. Data centers could consume 12% of US electricity by 2030, creating a modern-day War of the Currents that demands systemic solutions.
A comprehensive Ernst & Young study reveals conflicting employee attitudes toward AI adoption, with overwhelming enthusiasm tempered by significant job security fears. Industry experts emphasize that successful AI implementation requires robust governance frameworks and addressing human transformation challenges alongside technological deployment.
A new Ernst & Young study reveals a complex landscape of employee attitudes toward agentic AI in the workplace, with 84% of workers expressing eagerness to embrace the technology while more than half fear it could eliminate their positions. According to the survey of 1,148 corporate staff across large companies, the enthusiasm for AI’s potential productivity benefits is thoroughly tempered by anxiety about job obsolescence, with rank-and-file employees particularly concerned—65% worry about job security compared to 48% of managers.
Technology group Wärtsilä has entered a five-year performance-based maintenance agreement for three gas-fired power plants in Brazil. The partnership with Âmbar Energia aims to ensure uninterrupted power availability while advancing decarbonization targets through advanced digital tools and predictive maintenance.
Technology group Wärtsilä has reportedly secured a significant five-year operation and maintenance agreement with Brazilian energy company Âmbar Energia, according to recent industry reports. Sources indicate the contract covers three natural gas-fired power plants located in Manaus within Brazil’s Amazon region and incorporates an innovative outcome-based performance model that aligns financial structures with predefined operational targets.
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