- The GSA Onegov scheme lands the US government huge Microsoft -savings
- The White House could save $ 3.1 billion alone this year
- Microsoft 365, Copilot and more are all on the cards
Microsoft has signed an AGOV agreement of $ 6 billion with General Services Administration (GSA) to give the US government access to heavy discounts across its software.
$ 6 billion in savings across three years starts with an estimated $ 3.1 billion in savings over the year one, with the White House ensuring discounts across Microsoft 365 (G3 and G5), Microsoft 365 Copilot, Azure Cloud Services, Dynamics 365, Microsoft Sentinel, Azure Monitoring, Tromfrom -Management and additional cybersecurity tools.
CVP for US public sector industries Chris Barry advertised the discounts, designed to benefit the American people through enormous productivity and efficiency gains.
Microsoft gives the US government more “steep discounts”
“With this new agreement with the US Administration of General Services, including a Microsoft 365-Copilot offering, we help federal agencies use AI and digital technologies to improve citizen services, strengthen security and save taxpayers more than $ 3 billion alone in the first year,” Microsoft CEO SATYA NADELLA said.
Microsoft described his agreement as a five-pillar strategy: using AI to increase productivity; Increase automation with AI agents; accelerates American cloud modernization; Streamlining of government operations; and improving cyber security.
Redmond has given Federal Agencies September to sign up for one or all its offers, with reduced prices that will last up to three years.
Microsoft is not the only company that offers huge discounts to US federal agencies. Google also recently set a 71% price reduction on its Google Workspace packages with a $ 0.47 price cap on AI tools under Gemini for the government portfolio.
Both agreements are in line with Trump’s AI action plan aimed at reducing legislative barriers to AI resolution while increasing US semiconductor production to keep up with increased demand.
