Digital
Authbridge finds 5.61 per cent discrepancy rate in on-demand hiring
White-collar roles show 4.33 per cent overall as employment history leads at 11.15 per cent in H1 FY26.
MUMBAI: India’s hiring scene is pulling a classic bait-and-switch, candidates promise the world on paper, but the background check reveals the plot twist nobody saw coming. Authbridge, the country’s top trust and authentication tech firm, released its Workforce Fraud Files – H1 FY26 report (covering July–December 2025) around 16–17 February 2026, crunching data from millions of verifications across identity, address, employment history, education, criminal records, and CV validation.
The headline numbers paint a sobering picture: white-collar hires clocked an overall discrepancy rate of 4.33 per cent, while the on-demand ecosystem (gig and flexible roles) fared worse at 5.61 per cent showing that the faster, looser world of app-based work comes with extra red flags.
For white-collar folks, employment verification topped the trouble list at 11.15 per cent, followed by address checks at 7.68 per cent, education at 4.49 per cent, and references at 4.17 per cent. Drug screening (1.87 per cent) and criminal records (0.50 per cent) stayed relatively tame, but still popped up enough to matter.
The gig side showed even sharper vulnerabilities, address discrepancies hit 9.70 per cent, identity (NID) issues 2.53 per cent, and criminal record mismatches 2.23 per cent particularly worrying for roles with direct customer contact or field duties.
Industry breakdowns add colour, address problems plagued Telecom (15.42 per cent), IT (12.02 per cent), Pharma (11.21 per cent), Retail (10.64 per cent), and Banking & BFSI (10.23 per cent). Employment verification headaches were biggest in Retail (16.37 per cent), Telecom (14.32 per cent), Banking & BFSI (13.00 per cent), and Pharma (12.10 per cent). Education slips stood out in Retail (9.16 per cent) and Telecom (7.80 per cent), while CV validation mismatches appeared in IT (12.80 per cent) and Banking & BFSI (2.91 per cent).
Authbridge CEO and founder Ajay Trehan didn’t mince words, “The H1 FY26 Workforce Fraud Files clearly show that hiring-related discrepancies remain a persistent and structural challenge. Despite faster and more digitised hiring workflows, we continue to see gaps in fundamental checks such as employment history, address, and education. These are not minor inconsistencies; they have direct implications for organisational risk, compliance, and trust.”
The report stresses ditching one-and-done checks, start screening pre-offer to avoid nasty surprises post-joining, and layer in periodic reviews like drug tests, court records, and lifestyle assessments for ongoing risk management. Tools like Authbridge’s Authnumber (consent-based digital credentials) and Authlead (deep-dive leadership vetting) get a nod for cutting friction and blind spots.
Bottom line? In a job market racing for speed and scale, skimping on trust verification is like building a house on sand, one solid background check away from watching the whole thing crumble.
Digital
OpenAI’s Stargate lead Peter Hoeschele exits with two senior leaders
Trio behind compute push set to join new startup amid leadership reshuffle
SAN FRANCISCO: Peter Hoeschele, a key figure behind OpenAI’s early Stargate data centre initiative, has exited the company, according to a report by The Information.
The departure is part of a broader leadership shift, with two other senior executives, Shamez Hemani and Anuj Saharan, also set to leave in the coming days. All three are expected to join the same new startup, although details about the venture remain under wraps.
The trio played a central role in OpenAI’s Stargate effort, an initiative aimed at building large-scale data centre capacity in-house to reduce reliance on external infrastructure providers. Their exits mark a notable moment for the company’s compute strategy as it continues to scale rapidly.
OpenAI spokesperson said in a statement to The Information, “We’re grateful for the contributions Peter, Shamez, and Anuj have made to OpenAI and wish them the very best in what comes next.” The company also pointed to the recent appointment of Sachin Katti to lead its industrial compute organisation, signalling continuity in its infrastructure roadmap.
OpenAI has indicated that it does not plan to directly replace Hoeschele’s role, suggesting a possible restructuring of responsibilities within the team.
As competition intensifies in the race to build next-generation AI systems, leadership changes in core infrastructure teams are likely to draw close attention. For now, the spotlight shifts to what this departing trio builds next, and how OpenAI adapts as it scales its ambitions.
