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Right now, at virtually every large organization, millions of dollars of value are waiting to be unlocked by generative AI.

It’s difficult to pinpoint the best opportunities, however. Enterprise-grade gen AI tools have existed for only about a year, and the technology continues to move extremely fast. Even in just the last few months, capabilities like multimodal reasoning and million-token context have significantly expanded what gen AI can do. As new advances continue to push the envelope, it will only become more complex for organizations to chart their strategies.

As Oliver Parker, Google Cloud VP, Global Generative AI GTM, puts it, “The challenge is to invest for both now and what comes next. While potential moonshots may seem tantalizing — and their time will come — it’s important to focus on quick wins and demonstrated value first. The question is, where do you get started?”

To help organizations navigate this challenge, we’re pleased to announce our new ebook: Crossing the generative AI tipping point: From quick wins to sustained growth.

Drawn from Google Cloud’s expertise in AI and years working with thousands of organizations on digital transformation projects, it explores where gen AI is producing value today, and how organizations can leverage quick wins to fuel the bigger bets appearing quickly on the horizon — including real-world examples from Google Cloud customers like Victoria’s Secret & Co., Forbes, GA Telesis, Turing, Pfizer, The Estee Lauder Companies Inc., and GE Appliances.

“Our early experience with Gemini Code Assist has been very promising, with productivity gains around 33%. We’re trying out newer features right now like indexing and debugging, which we expect to push productivity even higher,” explains Kai Du, Director of Engineering at Turing, in one of the ebook’s customer highlights.

Though these case studies span industries and use cases, they demonstrate principles applicable to virtually all organizations — namely, as the ebook details, that inactivity is the biggest risk, and that companies today are producing value from gen AI by focusing on three “quick win” categories:

• Increased productivity among knowledge workers and developers
• Personalized customer experiences
• Improved back-office processes

As these gains materialize, leaders should be mindful of different nuances involved in measuring progress, advises Carrie Tharp, Google Cloud VP, Strategic Industries. “Early on, it’s important to look for leading indicators, rather than expecting immediate bottomline results,” she says in the ebook. “When organizations deploy code generation capabilities, for example, developer satisfaction often improves first, with efficiency metrics following after.”

We also illustrate how these nuances include people-centric approaches that remove toil and inefficiency to pave the way for bigger future transformations. As Richard Seroter, chief evangelist and head of developer relations at Google Cloud, states, "The best projects right now are things like an upgraded internal knowledge base, so employees can get answers to both data and process questions, using fine-tuned models. This kind of internal agent is absolutely something organizations should do today."

To dive deeper into these insights and best practices, you can access the ebook now. And for even more examples of Google Cloud customers leveraging gen AI, check out our recent article, “101 real-world gen AI use cases from the world’s leading organizations.”

Opening image created with Midjourney, running on Google Cloud, using the prompt: A visual metaphor for a tipping point; make the image look sunnier and more upbeat, please.