AI adoption reshapes workflows and hiring across high-growth technology companies: Report
New Delhi, July 26
Artificial intelligence adoption is rapidly transforming how high-growth, venture-backed technology companies operate, with businesses deploying AI across engineering, finance, human resources, sales, marketing and customer success, according to a research report by global venture capital firm Bessemer Venture Partners.
The report found that 86 per cent of respondents were highly confident that AI would meaningfully change how their teams operate over the next 12 months, with an average confidence score of 4.4 out of 5.
While 58 per cent said AI was already core to operations or being actively deployed across their teams, 43 per cent were still experimenting with tools or just beginning adoption. Anthropic's Claude emerged as the most-used AI tool across the portfolio, with 73 per cent of respondents using it.
The impact of AI is already influencing workforce planning. Nearly half, or 49 per cent, said their teams were delivering more without adding headcount. A further 25 per cent had upskilled employees into AI-adjacent work, while 13 per cent had slowed or paused hiring. Around 10 per cent had created new AI workflow roles and 6 per cent had backfilled roles with AI tools.
Engineering teams showed the highest level of adoption, with 90 per cent either actively deploying AI or considering it core to operations. AI coding assistants were used by 92 per cent of technology and engineering teams, while 57 per cent of engineering code involved AI assistance.
Finance teams were primarily using AI for financial planning and analysis, financial modelling and contract review, but data quality and system fragmentation were identified as the biggest barriers.
In human resources, the primary concern was data privacy and compliance, while teams used AI extensively for job descriptions, offer letters, recruiting and performance review support.
Sales and go-to-market teams were using AI for account research and call summaries, although data quality and difficulty measuring pipeline impact remained challenges.
Marketing and communications teams reported universal use of AI for content creation, but brand safety and quality control were their biggest concerns.
Customer success teams were using AI for ticket triage, chatbots and productivity tools, with AI helping reduce ticket volumes. However, leaders said they still faced difficulties proving the technology's impact on customer retention.
The findings indicate that AI adoption is not a uniform process across functions, with data quality, compliance, tool fragmentation and skills gaps shaping the pace of implementation across teams.
— ANI
Reader Comments
Interesting that Claude is the most used tool. I thought ChatGPT would dominate. But this shows how rapidly the AI landscape is shifting. In my company, we're still experimenting, and the privacy concerns in HR are real. We're being very cautious with employee data. 🧐
The 49% delivering more without adding headcount is the most telling statistic. This is going to reshape the job market in India dramatically. While it's great for efficiency, we need to think about reskilling programs for those who might be displaced. The government and industry must collaborate on this.
I appreciate the detailed breakdown by function. Engineering teams leading adoption makes sense - they're the ones building these tools. But the marketing teams' universal use for content creation is a double-edged sword. We're seeing a flood of AI-generated content online, and brand safety is definitely a concern in our industry.
Good report, but I wish they had included more data on small and medium businesses. High-growth VC-backed companies are one thing, but the vast majority of Indian companies are smaller. The challenges of tool fragmentation and data quality are even more acute for them. Still, useful insights for those of us in tech hubs. 😊
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