OpenIA Simulator-AI startup simulator game

Example

The player's AI power increases based on strategic decisions like hiring scientists and engineers, and the location of their startup. Players must balance growth in AI power with financial sustainability.

Scenario

A player who chooses to specialize in AGI research and sets up their company in a high-innovation hub like San Francisco might see a faster increase in AI power. However, this growth could come at a cost of higher operating expenses, forcing the player to make tough decisions about where to allocate resources.

Example

Players regularly encounter unexpected challenges such as ethical dilemmas, regulatory compliance issues, or public mistrust. These problems require quick decision-making to mitigate risks and avoid major setbacks.

Scenario

Mid-game, a player might face a privacy breach that could damage the company's reputation and userbase. They must decide whether to invest heavily in fixing the issue (draining cash reserves) or to ride it out and risk a PR crisis, potentially losing future profits.

Example

Players manage a diverse team of scientists, engineers, marketers, and designers, each contributing to different aspects of the AI's development and market reach.

Scenario

In a scenario where the company is nearing AGI, a player may choose to hire more engineers to accelerate technical development. However, this decision might require cutting costs in marketing, leading to slower userbase growth. Balancing team composition and salaries is key to ensuring long-term success.