Synthesia Redefines AI Usage: The Impact Before Tokens

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Key Takeaways

1Synthesia calls for prioritizing the commercial impact of AI over token consumption, according to its HR Director.

2Companies like Coinbase are imposing spending limits on AI in response to skyrocketing costs.

3Despite significant fundraising, Synthesia avoids rewarding excessive token use to promote innovation.

💡Why it matters — This approach could transform the way companies measure productivity and innovation through AI.

Synthesia Redefines AI Usage: Impact Before Tokens

Laura Gonzalez, Head of Human Resources at Synthesia, recently shared a clear vision on the use of artificial intelligence (AI) in the workplace. According to her, the goal should not merely be to use AI for its own sake, but to focus on the real business impact it can generate. She emphasizes that maximizing token usage by employees does not necessarily equate to increased productivity or innovation.

More and more companies are beginning to closely examine how their employees use AI, and some, like Synthesia, discourage what they call tokenmaxxing. Gonzalez warns against the risk of focusing solely on AI usage, which could lead to misdirected efforts. She insists that business impact should be the true measure of success, a sentiment shared by a growing number of leaders.

Reevaluating Success Metrics

Gonzalez compares measuring token usage to tracking the number of calls made by a salesperson, highlighting that this is not a true measure of success. Instead, she suggests that companies focus on more relevant questions, such as the ability of AI to help teams deliver faster, better prepare for client calls, or reduce the time it takes for new hires to make an impact.

Synthesia, a London-based company specializing in AI-generated videos, encourages its employees to use AI judiciously. While it does not offer rewards for excessive token usage, the company expects its employees to leverage AI when it is relevant to their tasks.

A Shifting Trend

The trend of not focusing on tokens marks a shift from certain practices of companies that used consumption rates as indicators of AI adoption. Some companies even established rankings to highlight employees generating the most AI-related activity.

However, rising AI costs are prompting some leaders to reconsider this approach. For instance, at Coinbase, AI usage surged after the launch of a new coding model, leading the company to impose weekly spending caps ranging from $500 to $5,000 depending on the employee's role.

Marty Kausas, CEO of Pylon, also noted a significant increase in costs, with an annual bill for Anthropic rising from $400,000 to $1.4 million. He believes the era of tokenmaxxing is on the decline.

Innovation Without Token Maximization

Synthesia, which raised $200 million in a Series E funding round, valuing the company at $4 billion, does not let cost concerns dictate its approach. Gonzalez asserts that not encouraging high token usage does not mean giving up on innovation. She emphasizes that it is possible to maintain a culture of experimentation while providing employees with the necessary tools to progress without rewarding token maximization.

When Tokens Still Matter

Although Synthesia avoids focusing on tokens, there are moments when their usage is highlighted, such as during hackathons. However, these instances remain exceptions.

The question of token usage remains relevant for many companies looking to encourage their employees to use AI to enhance productivity. Some managers use dashboards to track AI usage among staff, particularly in software development, and are even considering integrating this usage into employee evaluations.

Token allocations can also be significant for new hires, who may have specific expectations regarding access to AI tools. Jeff Hyman, an experienced recruiter, compares this issue to the questions workers once asked about being provided with a laptop for their job.