Social media giant Meta (formerly Facebook) and SaaS leader Salesforce have provided a leading edge indicator of the AI replacement of discrete components of labour budgets. And, we might not have to wait long to see the tangible results of these changes, with both set to begin this year.
Speaking on the Joe Rogan podcast, Meta CEO Mark Zuckerberg predicted that during 2025, his company and other major tech players will have AI systems capable of performing at the level of a midlevel software engineer. While Zuckerberg acknowledges the initial investment will be substantial, he envisions a future where AI handles much of the coding across Meta’s applications.
Zuckerberg’s statements follow news from Salesforce late last week of a hiring freeze for software engineers moving forward, citing a remarkable 30% increase in productivity through usage of AI tools like Agentforce. Salesforce India’s CEO Arundhati Bhattacharya emphasizes that AI will primarily handle repetitive tasks, allowing human engineers to focus on more complex and strategic work. This perspective suggests a transformation of roles rather than wholesale displacement.
In contrast to the pause on new engineer hires, the market leader planned to expand its sales force by 1,000-2,000 positions this year, suggesting that tech leaders don’t see sales teams roles as being the prey of AI agents just yet.
To date, industry leaders have been careful to frame AI as an augmentation rather than a replacement for human workers (mid-level engineers apparently now not withstanding).
The developments at Meta and Salesforce potentially preview broader industry changes in how large companies approach talent acquisition and resource allocation. As AI tools become more sophisticated, companies may shift their hiring focus from traditional engineering roles to positions that leverage AI capabilities or require higher-level strategic thinking.
With the early emergence and adoption of ever more capable AI agents this year is sure, expect to see AI absorbing an ever increasing proportion of labour force budgets inside enterprise.
Depending on the speed of capability development and subsequent adoption in a commercial setting, this will present on a spectrum, from slowing/freezing of certain areas of new hires, to potential outright re-structuring as enterprise sheds unneeded labour.
These changes will have considerable knock on implications for tertiary education institutions who will need to rapidly evolve their offerings to students or face the possibility of a fading into irrelevance at pace.
While AI shows promise in boosting productivity and handling routine coding tasks, the technology’s impact on employment patterns and skill requirements continues to evolve.
As 2025 ramps up, the industry will be watching closely to see how these predictions and early implementations play out in practice.
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