The real battle for generative AI in software

The key to AI success is meeting consumer demand

News By Brett Bonthron published 8 November 2024

When it comes to technology, we often credit the companies creating the tech as those driving disruption. But the real power behind big innovations? The consumer. Just like the rise of mobile tech was fueled by everyday users, the explosion of generative AI can be traced back to the consumers who actually use it. The presence of Gen AI in B2B started when people asked, “why can’t I have that at work?” In many cases, Gen AI took off in the workplace because it took off at home. When OpenAI released ChatGPT, it wasn’t just a shiny, new gimmick – it was a game-changer that sparked a wave of consumer interest, and one which quickly caught the attention of businesses everywhere. And while many companies have been working in the Gen AI space for years, the push from B2C really accelerated this technology in the B2B space.

What makes Gen AI so appealing is that it’s something people can easily understand and use. And it’s amazing. Gen AI has captured the imaginations of consumers and businesses alike. As tech giants like OpenAI, Google, and Microsoft look to weave Gen AI into their products, the real fight isn’t just about who can build the most advanced AI, but who can keep up with the growing consumer demand.

Software companies are now in a race to roll out Gen AI features as fast as they can. But the real challenge lies in meeting the expectations of employees and customers who are eager to see the benefits of AI in their day-to-day lives.

With that in mind, here are my top tips on how companies can stay ahead of the curve in this fast-paced, constantly shifting environment.

Brett Bonthron

Global High-Tech Industry Leader for Capgemini.

Empower your developers

The heart of any software company is its developers. Gen AI offers a boon to supercharge their creativity and productivity. By providing developers with access to the latest AI tools, organizations are not just enabling them to automate more mundane tasks like code generation, documentation, and bug fixing—but are also unlocking their potential to tackle bigger, more complex issues.

This has also unleashed improved collaboration between tech and business teams. From better communication to explaining what the code is doing in natural language; Gen AI makes the connection between software engineers and other business teams more effective. In fact, 78% of software professionals are optimistic about Gen AI’s potential to enhance collaboration.

Gen AI can even act like a brainstorming buddy, tossing out ideas and solutions that might not have crossed your developers’ minds yet. This collaborative vibe speeds up the rate of development and keeps teams on their “A” game – as well as providing opportunities for consistent learning and improving. As developers get more comfortable with AI, they’ll push the boundaries of what’s possible, an all-important competitive edge in this evolving landscape.

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