The tech world is undergoing a massive internal transformation, with companies increasingly turning to AI to revolutionize their own operations. This shift isn't just about selling AI to customers; it's about tech giants becoming their own first and best clients. But what does this mean for the future of work? Let's dive in.
Across the tech sector, a significant trend is emerging: widespread adoption of AI within companies before they offer it to clients. Think of it as a 'try before you sell' approach. Companies are deploying AI across various functions, from software development and IT issue detection to human resources and marketing. The goal? To boost efficiency, streamline processes, and ultimately, improve the bottom line.
Take IBM, for instance. Their internal AskHR chatbot, powered by generative AI, has handled a staggering 94% of employee HR queries since last year. This tool draws on policy documents to provide answers, automating time-consuming tasks and freeing up managers to focus on employee coaching and career development. Furthermore, IBM is using AI to review contracts, identifying 30 times more non-compliant terms than before. This internal AI usage has reportedly 'freed up millions of hours' for their global workforce of 270,000 employees.
Similarly, US software developer Asana is leveraging AI across its engineering, customer service, marketing, and go-to-market teams. They're using AI to generate and test code, respond to customer queries, prioritize leads, and manage marketing campaigns. A key takeaway from Asana's experience is the importance of setting 'clear owners, baselines, and success metrics' to ensure these initiatives are effective.
Cybersecurity firm SentinelOne is another prime example. Most of their employees rely on one or more AI tools for their daily tasks. Their engineering team uses an AI coding tool called Windsurf, which also aids in code testing and bug fixing. This showcases the huge potential of AI to reshape how we work.
In Europe, Schneider Electric, a French specialist in digital automation and energy management, has a dedicated chief AI officer. They are using AI to improve productivity, accuracy, and speed across all aspects of their business. Their salespeople use AI to generate proposals, and the company utilizes AI for electrification project planning, field technician deployment, software development, and customer communication. Schneider Electric has also implemented an AI governance model to ensure responsible and effective use of these tools.
Even large industrial and infrastructure providers are getting in on the action. French telecommunications firm Orange uses AI to detect and address network issues, improving network sustainability. They emphasize the importance of combining technical infrastructure, ethical governance, and workforce training.
At the other end of the spectrum, smaller companies like London-based clean tech start-up Tem Energy are actively encouraging their employees to experiment with AI. Employees use the latest large language models and participate in internal hackathons to develop AI tools. The belief is that 'a human using AI well will always outperform one who doesn’t.'
But here's where it gets controversial... The rapid adoption of internal AI raises concerns about potential job displacement, particularly in IT and engineering roles. However, some, like Babak Hodjat, chief AI officer at Cognizant, see AI as an 'amplifier of human potential.' Cognizant has actually doubled its graduate intake, believing that AI enables new talent to perform 'higher value tasks much quicker than before.' They've seen a 37% increase in productivity among their newer, less-skilled coding workforce using AI, compared to a 17% boost for more experienced workers.
And this is the part most people miss... The key to successful AI integration seems to lie in a strategic approach, focusing on clear goals, responsible implementation, and empowering employees. It's not just about the technology; it's about how it's used and managed.
What are your thoughts on this trend? Do you think AI will create more jobs than it eliminates? How can companies best prepare their workforce for this AI-driven future? Share your opinions in the comments below!
