A new report from global venture capital firm Bessemer Venture Partners has found that artificial intelligence is rapidly transforming how high-growth, venture-backed technology companies operate. The study, which surveyed a portfolio of such companies, reveals that AI is being deployed across engineering, finance, human resources, sales, marketing, and customer success functions.
AI Adoption Gains Momentum
According to the report, 86% of respondents expressed high confidence 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% indicated that AI was already core to operations or being actively deployed, 43% were still in the experimental or early adoption phase. Among AI tools, Anthropic's Claude emerged as the most popular, used by 73% of respondents.
Impact on Workforce Planning
The influence of AI on workforce planning is already evident. Nearly half (49%) of surveyed companies reported that their teams were delivering more without adding headcount. Additionally, 25% had upskilled employees into AI-adjacent roles, while 13% had slowed or paused hiring entirely. A further 10% had created new AI workflow positions, and 6% had backfilled roles using AI tools.
Engineering Leads Adoption
Engineering teams showed the highest level of AI integration, with 90% either actively deploying AI or considering it core to operations. AI coding assistants were used by 92% of technology and engineering teams, and 57% of engineering code now involves AI assistance. This indicates a significant shift in how software development is conducted.
Functional Variations in AI Use
Finance teams primarily used AI for financial planning and analysis, financial modelling, and contract review. However, data quality and system fragmentation were identified as major barriers to broader implementation. In human resources, data privacy and compliance were top concerns, despite heavy use of AI for job descriptions, offer letters, recruiting, and performance reviews.
Sales and go-to-market teams applied AI for account research and call summaries, but data quality and difficulty measuring pipeline impact remained challenges. Marketing and communications teams universally used AI for content creation, though brand safety and quality control were their biggest worries. Customer success teams leveraged AI for ticket triage, chatbots, and productivity tools, which helped reduce ticket volumes. Yet leaders still struggled to prove the technology's impact on customer retention.
Key Challenges Across Departments
The report highlights that AI adoption is not uniform across functions. Data quality, compliance, tool fragmentation, and skills gaps are shaping the pace of implementation. These factors vary by department, with each facing unique hurdles. For instance, finance deals with fragmented systems, while HR focuses on privacy, and marketing balances efficiency with brand integrity.
Conclusion
The findings underscore that AI is reshaping workflows and hiring in high-growth tech companies, but the transition is gradual and uneven. As Bessemer Venture Partners' research shows, while confidence in AI's transformative power is high, organizations must address data, compliance, and skill challenges to fully realize its benefits.
