McKinsey & Company

McKinsey & Company

Management consulting for strategy, operations, technology

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McKinsey & Company helps organizations worldwide with strategic advisory across strategy, operations, technology, and organizational change to pursue sustainable and inclusive growth. It delivers services through client engagements and enhances them with technology partnerships (e.g., Google Cloud) and AI-enabled capabilities like QuantumBlack and AI by McKinsey, along with SAP-backed tools such as Value Finder. Its approach combines expert consulting with analytics and AI-driven insights to solve complex business challenges. The goal is to accelerate sustainable, environmentally responsible, and socially equitable growth for clients.

About McKinsey & Company

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Why McKinsey & Company is rated
B
Rated A on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

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Data & Analytics

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AI & Machine Learning

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10,001+

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Headquarters

New York City, New York

Founded

1926

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What believers are saying

  • April 2026 Google Cloud deal adds cofunded assessments and outcome-based enterprise AI delivery.
  • April 2026 DeepMind partnership grants early Gemini access and direct technical talent support.
  • April 2026 Wonderful alliance reports 80%+ containment and multi-million-dollar efficiency gains for clients.

What critics are saying

  • June 2026 cuts of 3,000-4,000 jobs expose AI commoditizing junior consulting work.
  • April 2026 Purdue settlement adds $125 million more to McKinsey's opioid overhang.
  • 2026 McKinsey opiate litigation in California keeps discovery alive and reputational damage compounding.

What makes McKinsey & Company unique

  • April 2026 McKinsey linked strategy, QuantumBlack, Google Cloud, and Gemini Enterprise.
  • April 2026 McKinsey-Wonderful bundles consulting, platform, and embedded engineers for production deployment.
  • McKinsey's 2026 global brand still opens boardrooms other consultants cannot enter.

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The New York Times
Aug 14th, 2026
Despite Mamdani's attempts to appease, many business leaders remain wary.

Despite Mamdani's attempts to appease, many business leaders remain wary. The mayor's attempt to create a business advisory council has been hampered by some concern that joining the council may be perceived as an endorsement of Mr. Mamdani. Listen · 8:49 min Aug. 14, 2026 After Zohran Mamdani, a democratic socialist, won the mayoralty of New York City over strong objections from the business class, he made nice, meeting with executives and even attending the groundbreaking of American Express's new headquarters in Lower Manhattan. But following a relatively fleeting détente, that fledgling relationship appears to have gone astray, waylaid by growing enmity and distrust. Many business leaders, some of whom are Jewish, bristle at the mayor's frequent anti-Israel statements. They take issue with his tax-the-rich rhetoric, the singling out of one exorbitantly rich hedge fund manager for public ridicule and the contentious rollout of his tax on expensive second homes. They found other signs troubling. Despite job growth remaining relatively weak, Mr. Mamdani was the first mayor this century to have no deputy mayor with "economic development" in their title, and it took him seven months to name someone to run the city's Economic Development Corporation. (His choice of Anthony Shorris, a longtime government veteran who became a partner at the consulting firm, McKinsey & Company, prompted business leaders to breathe a sigh of relief). Amid the rancor, Mr. Mamdani promised in late May to create a business advisory council of corporate leaders that would advise him on economic growth. The conceit of the council was that it would serve as a sounding board for the mayor, representing a collection of roughly 15 corporate leaders who would meet quarterly with the mayor, according to someone briefed on the effort. Yet more than two months after the council was announced, it remains a work in progress, its recruitment process marred by infighting among business leaders, many of whom question whether they can develop a working relationship with Mr. Mamdani. Two business leaders said they feared receiving - and feeling obliged to accept - an invitation to join the council, because they would then have to weigh their desire to help the administration against the appearance of serving as cover for policies with which they disagree. The divide between City Hall and Wall Street was only further exacerbated in July, when Mr. Mamdani disbanded a separate advisory board for the Mayor's Fund to Advance New York City, a mayoral nonprofit that raises private money for city initiatives. The dismissed board members included several of New York's most prominent real estate leaders. Mr. Mamdani's team said he would replace the advisory board, but not until this fall, and asserted that the board had not been particularly active. Last year, only four of the advisory board's members, of which there are about 30, had paid their $25,000 dues, according to City Hall. The Mamdani administration has encouraged those who want to remain on the board to reapply; two former members have indicated their desire to do so. The mayor's effort to fill his business advisory council has also been choppy. Antonio Weiss, a former head of global investment banking at Lazard; Robert Wolf, the former chief executive of UBS Americas; and Jose Tavarez, the president for New York City at Bank of America, were among the first to be publicly linked to the council. Other business executives later emerged, including Kevin Ryan, a major New York tech investor; Hamdi Ulukaya, the founder of Chobani; and Scott Rechler, the chief executive of RXR, a real estate company, according to five people familiar with the effort. Backlash soon followed. Some executives at the 30 Rockefeller headquarters of Lazard were irked that the bank was linked to Mr. Mamdani in news accounts, two people familiar with the matter said. Another Wall Street executive, given anonymity by The New York Post, took a potshot at Mr. Wolf in a column mocking the council and anyone willing to join it. "I know there is a lot of uninformed noise surrounding this advisory board and some shots are being taken at the business leaders considering joining," Mr. Wolf said. "But my view is simple: If executives can use their experience and insights to help N.Y.C. thrive economically, than they should be willing to help." In an interview, Mr. Rechler said that while he shared some of his colleagues' concerns about the impact of Mr. Mamdani's anti-Israel rhetoric, he believes in engaging with those with whom he disagrees, particularly given the repeated, constructive interactions he has had with the administration. "He loves the city; I love the city," Mr. Rechler said. "We may have different views on what the city should look like, but that doesn't mean we don't engage." Mr. Mamdani's office has also reached out to a number of other executives, including Priscilla Sims Brown, the chief executive of Amalgamated Bank; Ken Chenault, the former chief executive of American Express; and Charles Phillips, a private equity executive, two people familiar with the matter said. Mr. Ryan, Mr. Ulukaya, Mr. Phillips, Ms. Sims Brown, Mr. Tavarez and Mr. Chenault did not respond to requests for comment or declined to comment for this article. The advent of the council comes as New York City business leaders are navigating the best way to work with, or resist, Mr. Mamdani. Steven Fulop, the new leader of Partnership for New York City, a powerful business consortium, has described the business community's reservations about the council on social media, citing the administration's rhetoric and "concerns around antisemitism." "Mayor Mamdani has opened the doors of City Hall to New York's business leaders, welcoming them to bring their experience and strategic guidance to the work of building a stronger, more dynamic economy," said Dora Pekec, a spokeswoman for Mr. Mamdani. "In the coming weeks, we will announce the members of our Business Advisory Council, who will be essential partners in our work to strengthen New York as the business capital of the country and create good-paying jobs." The balance between elected officials and corporate America has always been a delicate one. Executives believe they have a unique understanding of what New York City businesses need to generate the revenue that helps the city run. But elected officials do not want to be - or appear to be - beholden to corporate interests, a concern that is especially true for democratic socialists. Among themselves, business leaders have debated whether it is better to pragmatically maintain a line of communication with the mayor, even at the risk of their participation being construed as tacit support for Mr. Mamdani. The mayor has repeatedly tried to assuage the business community's concerns about his leadership. Most prominently, he retained Jessica Tisch, the technocratic billionaire heiress, as police commissioner. Under Ms. Tisch, crime numbers continue to fall. Mr. Mamdani also abandoned his opposition to mayoral control of schools and, like mayors before him, made moves to cut red tape for small businesses. City Hall aides also pointed to several indicators suggesting that the New York economy remains strong. New York City companies raised more venture capital funding in the second quarter of 2026 - $10.8 billion - than any quarter since 2021, according to a recent Economic Development Corporation report. The office leasing market continues to tighten. But some of Mr. Mamdani's acts and antics have also antagonized Wall Street, including his decision to record a video outside the lavish Midtown Manhattan home of a billionaire hedge fund manager, Ken Griffin, to make his case for taxing pricey second homes. The video prompted Mr. Griffin's business partner and ally, the Vornado chief executive Steven Roth, to compare Mr. Mamdani's rhetoric on the wealthy to hate speech. Following that video, Mr. Mamdani set up meetings with Jamie Dimon, the chief executive of JPMorgan Chase, and David Solomon, the chief executive of Goldman Sachs. But the relationship remains tenuous. "The unfortunate reality is that the mayor's approach out of the gate has served to confirm the business community's wariness about what a Mamdani administration would bring," said Edward Skyler, a former deputy mayor who now works at Citi and was dismissed in July from the mayor's fund advisory board. "That said, we are in Year 1, so hopefully he will come to the conclusion that this isn't serving his or the city's interests and will course correct," Mr. Skyler said.

CCR Magazine
Aug 13th, 2026
What McKinsey's cuts should tell every commercial construction leader.

What McKinsey's cuts should tell every commercial construction leader. The news came out quietly, the way these things usually do. McKinsey is cutting 3,000 to 4,000 positions in 2026 - roughly 10% of its global workforce, the largest reduction since 2008. Bain, BCG and Deloitte are doing variations of the same thing. Slower hiring. Headcount reductions. A pulling back that the firms themselves describe, carefully, as a response to AI productivity gains. Read that again. The world's most prestigious advisory firms are cutting people because AI is doing the work those people used to do. That is not a technology story. That is an operating model story. And if you lead a commercial construction firm, it is your story too - whether you see it yet or not. The work that was cut. McKinsey didn't eliminate partners. They eliminated the analytical layer underneath them - the associates and analysts who spent weeks synthesizing research, building models, producing deliverables that clients paid for at premium rates. That work turned out to be compressible. Not because the people weren't capable. Because the work itself - pattern recognition, document synthesis, comparative analysis, structured reporting - is exactly what artificial intelligence (AI) does well and fast. Now look at your own organization. Who tracks RFIs and summarizes status for the project executive? Who pulls together the weekly schedule report? Who runs the first pass on subcontractor bids? Who writes the owner update? Who coordinates the submittal log across three trades? That work is not the same as McKinsey analyst work. But the underlying structure is identical. Information processing. Pattern recognition. Synthesis and reporting. Work that requires training and intelligence - and that AI is now compressing on a timeline most construction leaders haven't fully absorbed. This is not a prediction. It is already happening. Firms using AI-assisted estimating are running comparables in hours that used to take days. Document review that required a coordinator's full afternoon now takes minutes. RFI response drafts that sat in someone's queue are being generated in real time. The compression is real. The question is whether your operating model is designed for what comes after - or still built for what worked before. What the compression exposes. Here is where most firms get stuck. They see the compression coming, buy a platform, run a pilot, and call it an AI strategy. The tools do what they were built to do. And then not much changes - because the tools were layered on top of an operating model that was never redesigned to use them. The technology is not the problem. The sequence is. An AI strategy matters. You need one. But an AI strategy built on top of a fragmented operating model does not create leverage. It accelerates the existing dysfunction. Faster reporting on a project with unclear decision rights is still a project with unclear decision rights. Better data flowing to people without authority to act on it is still a bottleneck - just a better-informed one. McKinsey learned this at scale. They built a business model on billable analytical hours, and then the thing that made those hours billable got automated. What survived was senior judgment - the partners who could walk into a boardroom and tell a CEO something they didn't already know. The analytical scaffolding underneath that judgment turned out to be the exposure, not the asset. Your firm has the same anatomy. The question is whether you know where your exposure sits. AI needs people. Specifically, it needs judgment. There is a version of this conversation that treats AI as a headcount reduction strategy. That framing will cost you. AI does not manage owner relationships. It does not make the call on a subcontractor who is three days behind and won't say so. It does not read the room when the GC and the owner's rep are heading toward a dispute that will cost six weeks if it isn't defused today. It does not carry the pattern recognition that comes from having delivered 40 projects and knowing what a schedule looks like two weeks before it slips. What AI does is give the people who carry that judgment more room to use it. That distinction - between work AI compresses and judgment AI amplifies - is also the most important lens you can apply to your next hire. The coordinator who executes a checklist is being replaced by technology faster than most firms have planned for. The person worth hiring in 2026 thinks clearly on incomplete information, makes good decisions under pressure and works alongside AI tools without needing someone to manage the process around them. Firms still writing 2019 job descriptions are going to find themselves with a 2019 workforce in a market that has already moved. The order matters - And so does the design. The AI conversation in commercial construction is happening almost entirely at the tool level. Which platform. Which integration. Which demo looked most impressive at the last industry conference. That conversation is not irrelevant. But it is starting in the middle. Consider what the day actually looks like in most firms right now. A project executive is running three jobs simultaneously. The owner on Job A wants a schedule update. The answer requires calls to the super, the MEP sub, and the PM who is on-site at Job B. By the time the information is assembled, two hours are gone and the update is already 24 hours stale. Meanwhile, a submittal on Job C has been sitting for four days waiting for an approval that requires the VP of operations - who didn't know it was waiting because it was buried in an email chain he wasn't copied on. That is not a technology problem. That is a decision architecture problem. Who owns the schedule update? What is the trigger for escalation? Where does approval authority actually sit versus where the org chart says it sits? Until those questions have clear answers, AI produces better-formatted versions of the same confusion. Now redesign that scenario with the operating model fixed first. Decision rights are clear. Escalation triggers are defined. The project executive knows exactly which decisions are hers and which ones require the VP. Information flows to the right person automatically because the system was designed to move it there. In that environment, AI does something genuinely powerful - it compresses the time between information and decision. The owner update that took two hours now takes 20 minutes. The buried submittal surfaces before it becomes a delay. The schedule variance that used to show up in week three shows up in week one, when there is still time to act. That is what AI-enabled decision architecture looks like in practice. Not faster chaos. Faster clarity. But clarity has to be designed first. AI accelerates whatever operating model you have. Build the right one, and the acceleration compounds. Leave the fragmented one in place, and AI gives you more data on a problem you still can't resolve quickly enough to matter. The firms that will look back at this period as a structural advantage asked a different question than their competitors. Not which tool to buy. But how work is actually designed inside the business - and what has to change so that AI makes decisions better and faster, not just more documented. Three questions worth asking this week. You do not need another platform evaluation before you answer these. Where are your best people spending time on work that AI could compress in the next 18 months - and what would they do with that capacity if it were freed? Where do decisions stall on your projects because the right information isn't reaching the right person with the authority to act? And where is senior judgment - yours, your VPs', your project executives' - being spent on problems that should have been resolved two levels below? Those answers will tell you more about your AI readiness than any technology audit. They will also tell you exactly where the operating model work has to happen before the AI investment pays off. McKinsey didn't see the exposure in their own model until the cuts were already decided. You have the advantage of watching it happen first - and enough time to design around it rather than react to it. That window is not staying open indefinitely. Jane Gentry is founder of Jane Gentry & Company, a strategic operating model advisory firm working with mid-market CEOs and senior leadership teams in construction, manufacturing, logistics and professional services. She helps leadership teams clarify how work gets designed, how decisions get made and how AI creates leverage instead of accelerating drag. If these questions are live inside your business, a 60-minute diagnostic conversation is a good place to start. Reach her directly at [email protected].

SharePrices
Aug 13th, 2026
Rentokil Initial works to simplify structure, names new executives.

Rentokil Initial works to simplify structure, names new executives. 13th Aug 2026 15:11 (Alliance News) - Rentokil Initial PLC on Thursday announced the reorganisation of its structure into two regional divisions, and the appointment of two new executives. The Crawley, England-based pest control firm said its organisation will consist of the North America and International operating divisions. The International business will cover the Europe, UK, Ireland & Sub-Saharan Africa, Asia & MENAT, Latin America and Pacific regions. "This builds upon the current financial reporting structure and creates clearer accountability for performance and execution across the group, while enabling faster adoption of best practices in customer experience, sales effectiveness and operational delivery," Rentokil said. "It also simplifies the operating model and strengthens alignment against the company's strategic priorities." Rentokil promoted Phill Wood, who has led the UK, Ireland & Sub-Saharan Africa region since 2009, as chief executive officer of the new International division. It also noted its previous announcement that Rafael Carrasco joined on August 3 as CEO of the North America division. Additionally, Rentokil announced on Thursday that it has hired Matt Jochim, who was previously McKinsey's UK & Ireland Operations Practice leader, as its new chief transformation officer. Jochim's appointment takes effect on September 7, the firm said. "At our interims, we outlined clear priorities to intensify customer focus, deliver sales and operational excellence and simplify the business," commented CEO Mike Duffy. "Today's appointments strengthen its capabilities to deliver on these priorities and drive profitable growth. "Matt's deep expertise in multi-site transformations, Rafa's track record of success in route-based service industries and Phill's extensive experience within our frontline operations will be invaluable as we execute our strategy with speed and excellence." Rentokil shares were down 1.3% at 355.40 pence on Thursday in London. By Emma Curzon, Alliance News reporter Related Shares:

SUPALABS
Aug 11th, 2026
AI implementation partners: the market has a missing middle.

AI implementation partners: the market has a missing middle. Mike Cecconello Distyl raised $175M at a $1.8B valuation to embed engineers in Fortune 500 companies. McKinsey partnered with Wonderful because a platform alone wasn't landing the transformation. Both serve enterprise budgets exclusively. A BCG survey of 152 CEOs found even that end of the market is mostly stuck in pilots. What a mid-market company is actually choosing between. Published: August 2026 · Written by: Mike Cecconello, Founder of Supalabs · Reading time: 9 min Mike Cecconello is the founder of Supalabs, where he helps mid-market companies design and deploy production AI agents and automation across finance, sales, customer support, and operations. Look at who is actually selling embedded AI delivery right now and a pattern shows up fast. The best-funded, most credible players in the category are building exclusively for companies that can write eight-figure checks. Everyone below that line is choosing between a staffing agency with an AI slide in the deck and building it themselves with no help at all. That gap is not an accident of timing. It is where the market's incentives currently point, and it is worth being precise about what is actually on each side of it before you decide where your company fits. Even the top of the market is mostly stuck. | CEOs surveyed | 152, companies with $500M+ revenue | | Pursuing AI pilots | ~67% | | Have embedded AI as part of a broader transformation | 26% | Read that gap again: two out of three run pilots, one in four has actually restructured anything around them. These are companies that can afford literally any vendor in the category. If budget and vendor access were the bottleneck, that number would be a lot closer to two-thirds than to one in four. It isn't the money. It's the same thing it is at every scale: whether the work got redesigned or just accelerated. What the top of the market actually looks like. Two recent moves show where the credible end of this category is headed, and neither of them is a smaller company's price range. | / | Consultancy + platform tie-up | Well-funded FDE-native startup | | Example | McKinsey / QuantumBlack + Wonderful | Distyl AI | | What they sell together | Enterprise platform, sold with the change-management and org-design layer McKinsey supplies | Embedded engineers who own the outcome, customized to a proprietary agent product | | Backing | McKinsey's global consulting practice | $175M raised, $1.8B valuation (Lightspeed, Khosla, DST Global, Coatue, Dell Technologies Capital) | | Who it's actually for | Enterprises already buying McKinsey-scale transformation work | Fortune 500, healthcare/telecom/insurance/financial services | The McKinsey-Wonderful pairing is the more instructive of the two, because it is an admission from the platform side of the market. Wonderful builds the forward-deployed engineering and agent infrastructure; McKinsey and QuantumBlack supply "the connective tissue that turns technical deployment into lasting business impact." Translated: the platform alone was not landing the transformation, so they paired it with the org-design and change layer a pure technology vendor does not have. That is the same argument this site makes about discovery and the build being one motion, arriving from the opposite direction, at a completely different price point. Distyl is the more direct comparison to what an embedded operator actually does, because the method is genuinely close: CEO Arjun Prakash's own description is to "partner with leaders from day zero to design that transformation, embed engineering talent, and deliver outcomes within three months that prove the model." That is the operator model, stated almost exactly. The difference is access, not philosophy. A $1.8B-valuation company backed by that investor list is not going to price an engagement for a single workflow at a company with a few hundred employees, and there is no reason it should try to. Its economics point at Fortune 500 accounts with multi-month engagements, which is a different market than the one most mid-market companies are shopping in. A third data point: what AI-Native actually converges on. 01.AI is a useful outlier because it isn't a services vendor at all. Kai-Fu Lee's company walked away from competing in the frontier-model race and pivoted to enterprise data infrastructure, and it runs lean by AI-industry standards: roughly 240 people for a company that became a unicorn within six months of founding. Lee's own thesis is that AI agents let a company be run as "a portfolio of digital workers," with fewer of the management layers a pre-AI org needed to coordinate human work. That is not a claim about embedded delivery. It is a data point about what happens organizationally once AI is actually load-bearing rather than decorative: fewer layers, not more tooling stacked on an unchanged structure. It is the org-design version of an argument this site makes about architecture: most of an AI system should not be AI. Applied to a company instead of a codebase, most of the organization does not need to change either, once you have actually found the two or three places that do. What's missing underneath the Fortune 500 tier. Below the consultancy-platform pairing and the well-funded FDE-native startups sits a long tail of staff-augmentation shops selling engineers by the month. Their pitch is genuinely useful for some problems: you know exactly what to build, you just need hands. It stops being useful the moment the actual question is which parts of the process should be a model at all, because that is a judgment call, and a staffing agency's economics reward more headcount on the account, not a smaller, better-scoped answer. What is largely absent between those staff-aug shops and the enterprise-only operators is the same model at the size a mid-market company actually needs: a mapping sprint measured in days rather than a quarter, one workflow instead of a transformation programme, and a fixed-price build scoped from what the sprint finds rather than from a multi-month minimum engagement. Not a smaller Distyl. The same judgment-over-headcount argument, sized for a company solving one real problem rather than restructuring a division. The test that actually applies at any scale. Whatever tier you're evaluating, the same three questions separate an operator from everything else, and they are the ones covered in more depth in how to buy AI delivery that actually ships: what is the accountability boundary (report accepted, spec met, or your team runs it unaided), does the engagement start with real discovery of the actual process rather than the documented one, and is the model confined to genuine judgment points rather than routed through everything because it demos well. Distyl and Wonderful pass that test at enterprise scale. The question for a mid-market company is not whether the same test applies. It is who passes it at a size and price that fits. Same model, sized for one workflow. A five-day Mapping Sprint instead of a quarter of discovery. A fixed-price build scoped from what it finds. No transformation programme required. Sources & references. * BCG, "Nearly Nine in Ten CEOs See Some Cost or Revenue Benefits from AI in Targeted Areas, But Most Are Struggling to Scale It" (July 2026), source of the 152-CEO survey, the two-thirds pilot figure, and the 26% broader-transformation figure. * PR Newswire, "Distyl AI Raises $175 Million at $1.8 Billion Valuation to Help Global Enterprises Become AI-Native", source of the funding figures, investor list, and the CEO quote. * McKinsey & Company, "McKinsey and Wonderful Team Up to Deliver Enterprise AI Transformation From Strategy to Scale", source of the partnership description. * 01.AI, background on the company's pivot from frontier models to enterprise data infrastructure and its lean headcount. * SUPALABS engagement methodology, 2024 to 2026, for the mapping-sprint sizing comparison. Key statistics (2025). average cost reduction with outsourcing of companies plan to increase outsourcing outsourcing market CAGR of organizations using AI in at least one function experimenting with AI agents achieve ROI from AI in year one Further Reading. Testimonials What its clients say. Companies across Europe have transformed their processes with its AI and automation solutions.

Taipei Times
Aug 10th, 2026
Modi broke promise to protesters: CJP

Modi broke promise to protesters: CJP. Tue, aug 11, 2026 page5. * Modi broke promise to protesters: CJP 'COCKROACH' PARTY: The youth-led movement said it plans to travel across the nation to gather ideas for reforms directly from the public, but will not join elections * Bloomberg and AFP * * Add TT as Preferred Source The Cockroach Janta Party (CJP), which spearheaded one of India's biggest student protests, yesterday accused authorities of violating an agreement by pursuing participants and reiterated that it would remain a pressure group rather than enter electoral politics. Police continue to investigate cases against some students who took part in the New Delhi protests last month, despite a government agreement to withdraw legal action, CJP spokesperson Ashutosh Ranka told Bloomberg Television's Menaka Doshi. The group had called off the protests after the agreement was reached. A police officer fires tear gas shells to disperse activists and supporters of the Cockroach Janta Party during a protest demanding the resignation of the education minister over alleged examination irregularities in New Delhi on July 20. Photo: AFP "There were clear instances where this agreement was reneged," Ranka said, citing cases that remained active in several states and the detention of protesters. "That is a clear sort of breaking away from the promise made by the government. Our team has been on top of it. We have been very clear that none of the protesters being arrested will be tolerated." The Indian Ministry of Home Affairs did not immediately respond to request for a comment. The standoff tests whether Indian Prime Minister Narendra Modi's government can resolve tensions with a youth group that has mobilized students outside traditional party politics. Any perception that authorities are reneging on concessions could renew protests over education and job prospects. CJP has threatened fresh protests if the government breaks its promises, although Ranka did not say how the group would respond. Ranka, 30 is a former McKinsey & Co management consultant who emerged as one of the prominent faces of India's youth-led movement. Police are investigating several cases against protesters, including some related to social media posts that allegedly mocked Modi. The Supreme Court has said states may withdraw cases against student demonstrators, except those involving serious offenses, a position also backed by the government. "We sincerely hope the government will follow the promise," Ranka added. "If the senior Cabinet minister's verbal agreement has no value in the country then essentially what we are saying is that the government can't be trusted. I am pretty sure the Indian government doesn't want that." His comments come as student-led protests continue in the eastern state of Jharkhand, where Modi's Bharatiya Janata Party is the main opposition party, over alleged exam irregularities. Ranka said CJP would raise questions over issues related to youth irrespective of the political parties at the helm. "We are not standing with or against a political party. We are standing with the youth of this country," he said. Last week, CJP founder Abhijeet Dipke said the group would not become a political party, opting instead to remain a "pressure group." It plans to push for education reform, job creation and greater accountability from public institutions while staying out of electoral politics. CJP, which began as a satirical movement a few months ago, is to travel across India to gather ideas for reforms directly from the public to ensure that "the genuine grievances of the common people are brought to the mainstream," he said. "Pressure groups like us, political movements like us, are very much part of democracy, because we can stay out of regular politics and force the government to address the burning issues of this country," Ranka said. CJP plans to rely primarily on donations from the public to fund its nationwide campaign, a strategy Ranka said would help preserve the group's political independence. In Jharkhand, students yesterday marched toward the state assembly, while several students are on hunger strike. At least six protesters are on hunger strike, including student leader Devendra Nath Mahto, 33, who has been fasting for more than a week. "We want the whole system to change," Mahto said, as quoted by Indian media, demanding an end to the use of a private company that conducts tests for state civil service. Hundreds of police guarded the assembly behind barbed-wire barricades, after repeated talks between the protesters and the state government failed to reach an agreement. Jharkhand Chief Minister Hemant Soren has sought to defuse the protests by accepting some demands, while several members of the civil service body overseeing the examinations have stepped down. "Every problem can be resolved through dialogue," Soren said in a speech on Sunday. * Most Popular * 1 Chinese detained after boat discovered * 2 Typhoon Dolphin to be closest to Taiwan today * 3 Agency issues a sea warning for Typhoon Dolphin * 4 Taiwan decries China over Japan patrol tailing * 5 Hsieh advances amid singles upset in Canada

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