logo
Companies embrace in-person interviews to dodge the chatbots

Companies embrace in-person interviews to dodge the chatbots

Axiosa day ago
If you're a knowledge worker on the job hunt, you might want to upgrade your interview wardrobe to include pants.
Why it matters: Companies are bringing back in-person interviews after years of virtual hiring since the pandemic. That's because artificial intelligence — which is upending the labor market — also makes it easier for candidates to cheat.
During a technical interview on Zoom, where interviewees might previously have done a quick Google search, they now have access to sophisticated chatbots that can feed them answers off camera.
In-person interviews also eliminate concerns over AI-enabled scammers impersonating workplaces or applicants.
Driving the news: Google, Cisco and McKinsey have brought back face-to-face interviews during some part of recruiting and hiring, the Wall Street Journal reported.
Recruitment firm Coda Search/Staffing in Dallas estimated that in-person interview requests among its clients have increased from 5% last year to 30% this year, the WSJ reported.
What they're saying: "We are making sure we'll introduce at least one round of in-person interviews for people, just to make sure the fundamentals are there," Google CEO Sundar Pichai said in June on Lex Fridman's podcast.
The intrigue: AI plays a growing role in the job application process for both prospective employees and employers.
Applicants are using AI to fine-tune resumes and write cover letters, while recruiters use AI tools to filter through candidates. In some cases, the interviewer is AI-generated.
Our thought bubble, from Axios' Megan Morrone: There's been a steady bot arms race between job seekers and hiring managers.
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Google Finds Workaround for Lobbying Rules That Omits Big Bosses
Google Finds Workaround for Lobbying Rules That Omits Big Bosses

Yahoo

time24 minutes ago

  • Yahoo

Google Finds Workaround for Lobbying Rules That Omits Big Bosses

(Bloomberg) — It was the end of 2018, and Google's leaders were tired of being Number One. For the second year in a row, federal records showed the search giant had spent more than any other individual company on lobbying in Washington. Executives in Mountain View were sick of seeing that mentioned in the press. Sunseeking Germans Face Swiss Backlash Over Alpine Holiday Congestion The US-Canadian Road Safety Gap Is Getting Wider To Head Off Severe Storm Surges, Nova Scotia Invests in 'Living Shorelines' Five Years After Black Lives Matter, Brussels' Colonial Statues Remain For Homeless Cyclists, Bikes Bring an Escape From the Streets Then Google apparently found a workaround. A new analysis of federal lobbying data by the nonprofit Tech Transparency Project shows that Google and its parent company, Alphabet Inc. used an internal reorganization to exclude the value of lobbying by its senior executives from disclosures. The move helped keep Google off the top of the lobbying charts even as it maintained a robust network of advocates pushing its interests in the capital, during federal challenges to its dominance in search and advertising and the beginnings of artificial intelligence regulation. The findings, which were confirmed by a Bloomberg analysis of lobbying records, show that the effect of the accounting change was to lower the amount that Google reported spending to influence the federal government, likely by millions of dollars. The reorganization 'has allowed the company to shield a significant portion of its lobbying expenditures from public view,' the Tech Transparency Project said in its report. A Google spokesperson, José Castañeda, disputed the report and said the company has followed all relevant disclosure laws. 'These are inaccurate claims about a technical change that simply brought us in line with how many other companies report their lobbying activities,' he said. 'Our lobbying expenditures began decreasing in 2018, after we restructured our government affairs team and cut spending on consultants.' Internal Reshuffle Starting in 2019, Google began cutting ties with some of its external lobbying firms, a move it acknowledged publicly as part of an overhaul of its Washington operations. But the shuffling of external lobbying firms doesn't explain the whole of the decline in Google's reported lobbying expenses, which fell from more than $22 million in 2018 to $8.9 million in the Covid-disrupted year of 2020, and have subsequently remained well below pre-pandemic levels. There's been another, quieter change: in early 2020, Google moved its in-house lobbyists into a new subsidiary, called Google Client Services LLC. It's that unit which now files spending disclosures for Google's lobbying activities. The reorganization meant that the parent companies Google and Alphabet no longer directly employed any lobbyists – defined under federal disclosure law as people spending at least 20% of their time on influencing Congress or the executive branch. Companies that file lobbying disclosure reports are supposed to also account for the time that other senior executives — those who don't meet the 20% threshold – devote to lobbying, according to legal experts and the compliance guide for the Lobbying Disclosure Act published by Congressional leaders. That generally involves prorating their annual compensation to account for the days they spend influencing the government. But since Google moved lobbyists into the Google Client Services subsidiary, the parent company no longer meets the threshold for filing disclosures under the Lobbying Disclosure Act, according to the TTP analysis. That means Google no longer reports the lobbying expenses of high-ranking managers who aren't part of the Client Services unit — like Chief Executive Officer Sundar Pichai and chief legal officer Kent Walker — to the public, as it once did. As a result, in 2020 Google dropped out of the top 20 in corporate lobbying expenses for the first time in nearly a decade, the TTP analysis found. While Google's reported annual spending has since edged back up again, it hasn't come close to the No.1 slot in the company lobbying rankings that it used to occupy. For the past five years, that position has alternated between two other tech giants: Meta Platforms Inc. and Inc. Antitrust Challenge There's been plenty going in in Washington over the period that was crucial for Google's business. For one thing, the company — like many peers — is betting heavily on AI, a field where decisions in the US capital will shape the commercial landscape. Google has also been under assault from antitrust authorities over its dominance in search and digital advertising. The company has maintained in those lawsuits that its success is down to consumer choice and superior innovation, rather than a result of its power to shape laws and regulations. Publicity around its lobbying spending has the potential to undercut such arguments and alienate regulators. When executives are as highly paid as many in Silicon Valley, the prorated amounts can add up to millions — even for just a few days' worth of lobbying. Google reported total compensation for Pichai of more than $225 million in 2022, thanks to grants of stock. His total compensation was $10.7 million in 2024. Walker's total compensation was more than $30 million last year, the company reported. Some say the new structure Google is employing flouts the spirit of the federal disclosure law – if not the letter itself. 'This is just too cute by half,' said William Luneburg, a professor emeritus at the University of Pittsburgh School of Law, and the co-editor of the manual for lobbying compliance published by the American Bar Association. 'On the face of it, it's wrong,' he said. 'They have to report all of their expenses, which would include the time of officers and directors and other employees that spend their time engaging in lobbying activity.' 'We always comply with disclosure laws and any suggestion of improper reporting is false,' said Castañeda, the Google spokesperson. TTP said it examined lobbying disclosures of several other companies that filed reports via a similar subsidiary model, but didn't find any that had used the structure to remove executive lobbying from their disclosures. —With assistance from Davey Alba and Sarah Frier. Americans Are Getting Priced Out of Homeownership at Record Rates Dubai's Housing Boom Is Stoking Fears of Another Crash Bessent on Tariffs, Deficits and Embracing Trump's Economic Plan Why It's Actually a Good Time to Buy a House, According to a Zillow Economist A $340 Million New York Office Makeover Is Converting Boardrooms to Bedrooms ©2025 Bloomberg L.P. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Companies are pouring billions into AI. It has yet to pay off.
Companies are pouring billions into AI. It has yet to pay off.

Boston Globe

time25 minutes ago

  • Boston Globe

Companies are pouring billions into AI. It has yet to pay off.

AI technology has been racing ahead with chatbots such as ChatGPT, fueled by a high-stakes arms race among tech giants and superrich startups and prompting an expectation that everything from back-office accounting to customer service will be revolutionized. But the payoff for businesses outside the tech sector is lagging behind, plagued by issues including an irritating tendency by chatbots to make stuff up. Advertisement That means that businesses will have to continue to invest billions to avoid falling behind — but it could be years before the technology delivers an economywide payoff, as companies gradually figure out what works best. Get Starting Point A guide through the most important stories of the morning, delivered Monday through Friday. Enter Email Sign Up Call it the 'the gen. AI paradox,' as McKinsey did in its research report. Investments in generative AI by businesses are expected to increase 94 percent this year to $61.9 billion, according to IDC, a technology research firm. But the percentage of companies abandoning most of their AI pilot projects soared to 42 percent by the end of 2024, up from 17 percent the previous year, according to a survey of more than 1,000 technology and business managers by S&P Global, a data and analytics firm. Advertisement Projects failed not only because of technical hurdles, but often because of 'human factors' like employee and customer resistance or lack of skills, said Alexander Johnston, a senior analyst at S&P Global. Gartner, a research and advisory firm that charts technological 'hype cycles,' predicts that AI is sliding toward a stage it calls 'the trough of disillusionment.' The low point is expected next year, before the technology eventually becomes a proven productivity tool, said John-David Lovelock, the chief forecaster at Gartner. That was the pattern with past technologies such as personal computers and the internet — early exuberance, the hard slog of mastering a technology, followed by a transformation of industries and work. The winners so far have been the suppliers of AI technology and advice. They include Microsoft, Amazon, and Google, which offer AI software, while Nvidia is the runaway leader in AI chips. Executives at those companies have bragged how AI is reshaping their own workforces, eliminating the need for some entry-level coding work, and making other workers more efficient. AI will eventually replace entire swaths of human employees, many predict, a perspective that is being widely embraced and echoed in the corporate mainstream. At the Aspen Ideas Festival in June, Jim Farley, the CEO of Ford Motor Co., said, 'Artificial intelligence is going to replace literally half of all white-collar workers in the US.' Whether that type of revolutionary change occurs, and how soon, depends on the real-world testing ground of many businesses. 'The raw technological horsepower is terrific, but it's not going to determine how quickly AI transforms the economy,' said Andrew McAfee, a principal research scientist and co-director of the Massachusetts Institute of Technology's Initiative on the Digital Economy. Advertisement Still, some businesses are finding ways to incorporate AI — although in most cases the technology is still a long way from replacing workers. One company where AI's promise and flaws are playing out is USAA, which provides insurance and banking services to members of the military and their families. After several pilot projects, some of which it closed down, the company introduced an AI assistant to help its 16,000 customer service workers provide correct answers to specific questions. USAA is tracking its AI investments, but does not yet have a calculation of the financial payoff, if any, for the call center software. But the response from its workers, the company said, has been overwhelmingly positive. While it has software apps for answering customer questions online, its call centers field an average of 200,000 calls a day. 'Those are moments that matter,' said Ramnik Bajaj, the company's chief data analytics and AI officer. 'They want a human voice at the other end of the phone.' That's similar to an AI app developed more than a year ago for fieldworkers at Johnson Controls, a large supplier of building equipment, software, and services. The company fed its operating and service manuals for its machines into an AI program that has been trained to generate a problem summary, suggest repairs and deliver it all to the technician's tablet computer. In testing, the app has trimmed 10 to 15 minutes off a repair call of an hour or more — a useful efficiency gain, but hardly a workplace transformation on its own. Fewer than 2,000 of the company's 25,000 field service workers have access to the AI helper, although the company is planning an expansion. Advertisement 'It's still pretty early days, but the idea is that over time everyone will use it,' said Vijay Sankaran, the chief digital and information officer at Johnson Controls. The long-term vision is that companies will use AI to improve multiple systems, including sales, procurement, manufacturing, customer service, and finance, he said. 'That's the game changer,' said Sankaran, who predicts that shift will take at least five years. Two years ago, JPMorgan Chase, the nation's largest bank, blocked access to ChatGPT from its computers because of potential security risks. Only a few hundred data scientists and engineers were allowed to experiment with AI. Today, about 200,000 of the bank's employees have access to a general-purpose AI assistant — essentially a business chatbot — from their work computers for tasks such as retrieving data, answering business questions, and writing reports. The assistant, tailored for JPMorgan's use, taps into ChatGPT and other AI tools, while ensuring data security for confidential bank and customer information. Roughly half of the workers use it regularly and report spending up to four hours less a week on basic office tasks, the company said. The bank's wealth advisers are also employing a more specialized AI assistant, which uses bank, market, and customer data to provide wealthy clients with investment research and advice. The bank says it retrieves information and helps advisers make investment recommendations nearly twice as fast as they could before, increasing sales. Lori Beer, the global chief information officer at JPMorgan, oversees a worldwide technology staff of 60,000. Has she shut down AI projects? Probably hundreds in total, she said. Advertisement But many of the shelved prototypes, she said, developed concepts and code that were folded into other, continuing projects. 'We're absolutely shutting things down,' Beer said. 'We're not afraid to shut things down. We don't think it's a bad thing. I think it's a smart thing.' McAfee, the MIT research scientist, agreed. 'It's not surprising that early AI efforts are falling short,' said McAfee, who is a founder of Workhelix, an AI-consulting firm. 'Innovation is a process of failing fairly regularly.' This article originally appeared in

ChatGPT-5 Gives You Real Choices After All. Here's a Quick Breakdown
ChatGPT-5 Gives You Real Choices After All. Here's a Quick Breakdown

CNET

time25 minutes ago

  • CNET

ChatGPT-5 Gives You Real Choices After All. Here's a Quick Breakdown

The biggest pushback after OpenAI announced its new GPT-5 model for ChatGPT came from devotees of older models who felt the new generative AI chatbot lacked the panache of its predecessors. Now you have more choices of pre-GPT-5 models (although you'll have to hunt for some of them) and better control over which components of GPT-5 handle your questions. OpenAI is still sorting through a somewhat rocky launch of GPT-5, led by complaints about the lack of model choices. The model has been anticipated for more than two years and comes as competitors like Anthropic and Google have released powerful new versions of their AI models this year. (Disclosure: Ziff Davis, CNET's parent company, in April filed a lawsuit against OpenAI, alleging it infringed Ziff Davis copyrights in training and operating its AI systems.) OpenAI planned for one model that could handle everything: GPT-5 includes two different modes, one fast and lean for simple tasks and one aimed at reasoning for complicated ones. A routing program would decide which model handled a given prompt. That's still the default in ChatGPT, but it's not your only option. Here's a look at the menu: Watch this: ChatGPT Users Want the Old Models Back, Intel CEO Goes to the White House & More | Tech Today 03:03 Choices of GPT-5 models There are a few different modes of GPT-5 you can select between if you want to use OpenAI's newest technology. Here's a quick rundown: Enlarge Image This is what your choices will look like if you don't enable legacy models in settings. Screenshot by Jon Reed/CNET Auto: This mode allows the switching program built into GPT-5 to decide whether your query is handled by a lighter, faster large language model or a bigger, slower reasoning model. OpenAI CEO Sam Altman posted on X that this will be the best fit for most people. This mode allows the switching program built into GPT-5 to decide whether your query is handled by a lighter, faster large language model or a bigger, slower reasoning model. OpenAI CEO Sam Altman posted on X that this will be the best fit for most people. Fast: Your query will go straight to the fastest, lightest model. Expect quick, basic answers, but not the in-depth research you'd get from a reasoning model. Your query will go straight to the fastest, lightest model. Expect quick, basic answers, but not the in-depth research you'd get from a reasoning model. Thinking: This is a reasoning model, meaning it'll try to answer your question over several steps. It might use web searches and other tools, or it might go back and redo its past steps to try to get the right answer. There are some limits on how much you can use this model (3,000 messages per week right now). This is a reasoning model, meaning it'll try to answer your question over several steps. It might use web searches and other tools, or it might go back and redo its past steps to try to get the right answer. There are some limits on how much you can use this model (3,000 messages per week right now). Thinking mini: This is a lighter, faster version of the Thinking model. If you hit the usage limit on Thinking, you'll be stuck with Thinking mini. You can access it on your own if you enable more model options (more on that below). This is a lighter, faster version of the Thinking model. If you hit the usage limit on Thinking, you'll be stuck with Thinking mini. You can access it on your own if you enable more model options (more on that below). Pro: The most powerful reasoning model in the fleet, this is only available at the moment for Pro users, who pay $200 per month. (Although Altman did tease giving Plus users, who pay $20 a month, a very limited number of queries as a taste.) Again, sticking with Auto is probably easiest for most users. Think of it like driving a car with an automatic transmission instead of having to change gears manually. Sure, people who are really into cars might prefer the stick shift, but most people should probably just let the machine handle it. How to get the older OpenAI models Everyone with a paid ChatGPT subscription can access the older GPT-4o model directly in the same menu where you can choose your flavor of GPT-5. This model received the most clamor from users after it was removed, and Altman said if OpenAI ever decides to take it away permanently, "we will give plenty of notice." But 4o isn't your only choice (if you're a paid user). You just have to know where to look. To access GPT-4.1, 4o-mini and 3o, along with GPT-5 Thinking mini, you'll have to go into your Settings and toggle on "Show additional models."

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store