Key parts of Chamath’s prediction did not play out as stated.

1. Law firms were early large‑scale adopters of generative AI, not laggards.

   • Allen & Overy began trialling Harvey (a legal LLM platform) in Nov 2022 and by Feb 2023 had 3,500 lawyers using it for ~40,000 queries, one of the first widely reported large‑scale deployments of generative AI in any white‑collar sector. (en.wikipedia.org)
   • On 15 March 2023, PwC announced a global alliance with Harvey that gave 4,000+ legal professionals in 100+ countries access to the platform, explicitly to automate parts of contract analysis, regulatory work, due diligence, and other legal tasks. (pwc.com)
     These dates are contemporaneous with or earlier than the period when large IT services firms were just beginning to publicly frame their generative‑AI strategies, so law was not “waiting” for IT outsourcers to go first.

2. Accounting and legal sectors have moved quickly toward firm‑wide AI use.

   • A 2025 overview of legal AI adoption reports that all AmLaw 100 firms use AI, that 85% of lawyers use AI weekly, and that 21% of firms have firm‑wide AI roll‑outs. (aiqlabs.ai)
   • In accounting, the UK regulator (FRC) found that the largest firms (Deloitte, EY, KPMG, PwC, etc.) are already using AI/ML in audits (risk assessment, information extraction, document review), even if they’re not yet systematically measuring its impact. (ft.com)
     This pattern contradicts the idea that law and accounting were notably slower than IT services to “figure out” AI at scale.

3. IT services firms did scale AI, but later and not clearly ahead of law/accounting, nor specifically targeted first at coding-for-hire displacement.

   • Accenture and TCS now tout very large AI programs—e.g., Accenture nearly doubled its AI & data specialists from 40,000 to 77,000 in two years and trained 550,000+ employees on generative‑AI fundamentals; AI is now “part of everything we do” and underpins thousands of client projects. (crn.com) TCS launched its WisdomNext GenAI platform in 2024 and is infusing AI across its offerings, positioning itself as building one of the largest AI‑ready workforces. (tcs.com)
   • These large‑scale roll‑outs, however, are mostly dated 2024–2025, whereas major law and Big‑4 legal units were already running multi‑thousand‑lawyer generative‑AI deployments in late 2022–early 2023. (en.wikipedia.org)
   • Accenture’s restructuring explicitly links layoffs to the inability to reskill staff for AI‑heavy work, but this is framed broadly (consulting, operations, data/AI roles), not as a clearly targeted program “first” aimed at eliminating coding‑for‑hire jobs. (cnbc.com) Other IT services firms (e.g., TCS) talk about a “Human+AI” model and augmentation rather than openly leading with coder displacement. (timesofindia.indiatimes.com)

4. Job displacement from AI is showing up across white‑collar domains, not uniquely or demonstrably first in coding‑for‑hire firms like Accenture/TCS.

   • Generative AI for coding is indeed one of the most commercially successful use cases—code‑generation startups and tools are attracting huge investment, and reporting suggests shrinking entry‑level dev roles as AI produces more of the code. (reuters.com) A 2025 study finds 97% of IT workers already use generative‑AI tools, with higher organizational adoption correlating with greater job‑security concerns. (arxiv.org)
   • But law and accounting are also now using AI as a lever on staffing: Clifford Chance (a top global firm) is cutting about 10% of its London business‑services staff, explicitly citing increased AI use as a key reason, alongside offshoring and changing demand. (theguardian.com) Big‑4 accountancies have made multiple rounds of layoffs and hiring slowdowns, where AI and offshoring are explicitly discussed as reasons for reducing junior, routine work—essentially treating AI as “the new trainee.” (thefinancestory.com)
     Given this, AI‑related labour effects are diffuse: software engineering, law, and accounting all show early and growing automation of junior and routine tasks. No clear, data‑driven ordering shows Accenture/TCS‑style coding‑for‑hire shops uniquely “going first” ahead of law and accounting in using AI specifically to displace white‑collar labour.

Overall, while software development is indeed one of the earliest and hardest‑hit areas for AI automation, the comparative claim that large IT services / coding‑for‑hire firms like Accenture and TCS would be first, ahead of law and accounting firms, to deploy AI at scale to displace white‑collar labour is not supported by the timeline and available evidence. Law and Big‑4 legal units adopted generative AI at scale very early, and AI‑driven workforce changes are now occurring in all these sectors without a clear lead by the specific firms Chamath named. Hence, the prediction is best judged as wrong overall.