Tuesday, December 9, 2025

Viksit Bharat or Dependent Bhartiyas?

Sometime back, I had written about the perils of the culture of freebies. This is second in series of thoughts I would like to put out with objective to rekindle the debate that seems to have drown in swarms of freebies that political class of all orientations have indulged in so brazenly for selfish vote bank politics. My hope then was rested on our Hon’ble Prime Minister Modi ji who was the one started the debate on freebie, terming it as “revdi.” That hope is fading as he seems to have drawn into competitive populism, may be out of compulsion of coalition government the BJP had to rely on after the BJP on its own fell short of majority in the 2024 general elections since 2014.  

Politics in India needs serious soul-searching. Here below is my two bits.

India’s political economy is entering a dangerous phase where competitive populism is hollowing out both public finances and democratic values. Across parties and states, there is now a bipartisan consensus on one thing alone: everlarger “freebies” as the primary instrument of political mobilisation, regardless of what leaders publicly claim about fiscal prudence or reform. This is not just an accounting problem; it undermines social mobility, entrenches dependency, and shifts politics from citizenship to clientelism.

The scale of the freebie state

Over the last few years, explicit subsidies and loosely targeted cash doles have exploded in state budgets. States’ explicit subsidies are estimated to have more than doubled since 2019–20 to well over ₹4 trillion in 2024–25, driven by free or heavily subsidised electricity, transport, gas cylinders, and cash transfers to selected groups such as farmers, women, and youth. A handful of states now dominate this spending: Tamil Nadu alone is estimated to account for roughly onethird of all explicit subsidies by states, with subsidies in 2024–25 reportedly around ₹1.4–1.5 trillion—close to half its revenue receipts. RBI analysis and independent budget studies show that just five states—Tamil Nadu, Karnataka, Gujarat, Madhya Pradesh, and Chhattisgarh—together make up nearly twothirds of all state subsidy spending, with others like Punjab and Rajasthan also in the highrisk category.

In parallel, several large, electiondriven cash schemes have been rolled out. Maharashtra’s 2024 package, for instance, combined a major women’s cash transfer scheme, concessions on power, and youthoriented programmes with a gross cost close to ₹1 trillion, or over 2% of its GSDP, even as the state’s investment needs remain acute. RBI and other analysts have flagged that, across a recent cycle of state elections, prepoll populist schemes added tens of thousands of crores in new recurring outlays, much of it financed by borrowing rather than durable revenue reforms. The result is a structural tilt in budgets: subsidies and other current transfers rise faster than revenues, while capital expenditure is constantly squeezed.

In just the past year, pre-poll announcements across states illustrate how deeply entrenched this behaviour has become.

In Karnataka, the expansion of the Shakti scheme—offering free bus travel for women—has been aggressively promoted in the run-up to local elections. While framed as empowerment, the fiscal burden already exceeds ₹4,000 crore and is expected to rise sharply. At a time when state finances are strained, such schemes crowd out capital expenditure and leave little room for investments in mobility, skills, and industrial growth.

In Bihar, before recent assembly election, all major political alliances released manifestos brimming with costly promises: free electricity, subsidised LPG cylinders, smartphones for students, monthly stipends for unemployed youth, and expanded loan waivers. Bihar already struggles with low per capita income, poor infrastructure, and limited fiscal capacity. Yet the election narrative is dominated not by development strategy but by which coalition can outbid the other in consumption giveaways.

Across states, schemes offering direct cash transfers to women have multiplied at an unprecedented pace. Maharashtra, Telangana, Madhya Pradesh, and Odisha have all accelerated women-centric cash schemes ahead of elections—without parallel investments in childcare, skills, workforce participation, or safety that would transform these transfers into engines of empowerment. Instead of building capabilities, governments are building vote banks.

Productive welfare vs vote-buying doles

It is important not to conflate all welfare with waste. A modern democratic state has an obligation to provide safety nets and invest in human capabilities. Programmes like employment guarantees, nutrition support, or targeted income support to small farmers can raise productivity, stabilise consumption, and create longterm gains in human capital when designed well and financed responsibly. Even cash transfers can be defensible when they replace leaky subsidies, are transparently budgeted, and are linked to broader development objectives.

What has expanded most rapidly, however, is not this kind of productive welfare but politically expedient consumption subsidies and narrow doles. Free power and blanket loan waivers undermine payment culture and distort resource allocation, yet remain staples of manifesto politics. Universal or nearuniversal “thankyou” cash transfers to specific vote banks—women, youth, certain occupational groups—are rarely accompanied by serious investments in childcare, skills, or job creation that would make these groups less dependent on the next round of largesse. Analysts repeatedly warn that such schemes crowd out spending on health, education, and infrastructure; RBI emphasises that rising subsidies are reducing the fiscal space for “productive uses,” even as committed expenditure (salaries, pensions, interest) already eats up over half of state revenues in many cases.

 

Human capital: the biggest casualty

A second, equally worrying consequence of this freebiedriven politics is that it diverts attention and money away from India’s most urgent development constraint: human capital. India already faces an acute shortage of genuinely skilled workers across industries, from manufacturing to services, even as millions remain trapped in lowproductivity, informal jobs. School enrollment has improved over the years, but a large share of children either drops out or completes schooling without mastering basic reading, writing and numeracy, and multiple employer surveys suggest that a very significant proportion of graduates—often cited at around 40%—are effectively unemployable for modern sector jobs. This is not a marginal problem; it is the single biggest brake on productivity growth and on the aspiration of becoming a highincome, innovationdriven economy.

Fixing this requires precisely the kind of sustained, largescale investment that current fiscal populism is crowding out: better teachers and school systems, foundational learning programmes, modernised ITIs and polytechnics, serious reskilling infrastructure, and expanded highereducation and research capacity. Instead, huge sums are being poured into schemes that have little or no lasting economic return, designed primarily to deliver immediate electoral gains rather than durable improvements in capabilities. Every rupee tied up in permanent consumption doles is a rupee not available to repair the education pipeline, upgrade skills, or raise the employability of young Indians. In that sense, the culture of freebies is not just fiscally irresponsible; it is a direct assault on India’s prospects of building the skilled workforce without which any vision of a developed India will remain an empty slogan.

In the November-December 2025 edition of Foreign Affairs, Michael Beckley in his essay “The Stagnant Order And the End of Rising Power,” writes “India has youth but lacks the human capital and state capacity to turn it into strength.”  This is not entirely true though.  The state has capacity to turn demographics advantage into strength. But only if the huge scale of funding required is not diverted to unproductive freebies.

Fiscal erosion and future constraints

The fiscal arithmetic is steadily deteriorating. States’ debttoGSDP ratios have climbed well beyond prudential benchmarks in several cases, while interest payments grow faster than own tax revenues. Some highsubsidy states already spend upward of 100% of their revenue receipts on a combination of committed expenditure plus subsidies, effectively financing even routine development outlays with borrowed money. This is classic fiscal profligacy: politically rewarding in the short run, but corrosive over time as rising interest burdens force either higher taxes, sharper cuts in public investment, or both.

Equally worrying is the rigidity this creates. Once a cash dole or free utility entitlement is granted, it is politically close to irreversible. Any attempt at rollback is framed as “antipeople” and can become electoral suicide, even when the scheme is plainly unaffordable. That leaves future governments—regardless of party—trapped in a narrow corridor of discretionary spending, with very little flexibility to respond to shocks, invest in climate resilience, or upgrade public services. The fiscal state becomes a hostage to decisions taken in one feverish electoral season.

Damage to democracy and social mobility

Freebie politics also reshapes the relationship between citizen and state. Instead of rightsbearing citizens demanding better schools, safer cities, and functioning courts, politics is reduced to an auction of everlarger handouts. Parties that resist or even mildly question this model are quickly branded as “antipoor,” which creates a perverse consensus in favour of fiscal irresponsibility. Over time, elections become less about competing policy visions and more about shortterm transactional benefits.

The social consequences are subtle but profound. When public money is poured into recurrent doles rather than quality education, health, urban services, and infrastructure, social mobility slows. The poor are kept afloat, but not enabled to move up—a condition some have described as “welfare without mobility.” Worse, beneficiaries are divided into evernarrower patronage groups, deepening social fragmentation. Instead of building broad coalitions for public goods, politics incentivises fragmented coalitions for private or club goods, which is the opposite of what a healthy democracy requires.

A way forward: rules, transparency, and reorientation

Reversing this trend will require both institutional and political responses. On the institutional side, stronger fiscal rules, greater transparency in budgeting subsidies, and independent scrutiny of new schemes—through statelevel fiscal councils—can raise the political cost of irresponsible promises. Clear, publicly debated distinctions between temporary safety nets and permanent entitlements, and between consumption subsidies and investmentlinked support, would help voters see what is being traded off.

On the political side, parties that claim to value reform and social justice will have to make the harder argument: that true propoor policy means highquality public goods, not perpetual dependence on cash and freebies. That requires courage and narrative skill, but it is ultimately the only way to align public finances with development goals and restore the link between democratic choice and longterm societal progress. Without such a course correction, India risks sleepwalking into a lowgrowth, highdebt equilibrium where democracy survives as ritual, but accountability and opportunity steadily erode under the weight of “free” things that future generations will pay for with interest.

The goal of Viksit Bharat sits uneasily atop this architecture of fiscal populism. A genuinely developed India demands sustained investments in education, health, urban infrastructure, research, and green transitions—items that yield returns over decades, not instant electoral dividends. When a rising share of public money is locked into permanent consumption doles and politically untouchable subsidies, the space for such longhorizon investments shrinks relentlessly. In that scenario, Viksit Bharat becomes less a concrete developmental project and more a rhetorical cover for a status quo where governments trade tomorrow’s prosperity for today’s votes. Put simply, a nation that spends like a patronage machine cannot credibly aspire to become a developed economy; it can, at best, manage stagnation with a thin layer of freebies.

Political parties must revive the narrative that for Viksit Bharat, we need true pro-poor governance, which means better schools, safer cities, stronger health systems, and more jobs—not perpetual dependence on cash and freebies, not dependent Bhartiyas. That requires a fundamental rethink of our electoral incentives—before the incentives reshape our destiny.

(Views are personal)


Saturday, November 8, 2025

Which way Bihar will vote?

 Voting in Bihar for the first phase of the election on 121 seats is sealed in EVMs. The voter turnout was highest ever in last 20 years, or may be highest ever – close to 65%, a good about 13% higher than in 2020.

The electors’ mood at this stage often provides early signals, yet Bihar’s political landscape is anything but linear. The state has historically oscillated between coalitions, leaders, and narratives, guided as much by social coalitions and caste configurations as by development expectations and leadership credibility.

The 2024 General Election Swing — A Strong Signal

In the 2024 Lok Sabha elections, Bihar saw a dramatic reversal. The Mahagathbandhan (RJD–Congress–Left), which had won 61 seats in the 2020 Assembly elections, was reduced to just 25 seats in parliamentary terms. This was a remarkable swing towards the NDA, led by BJP and Nitish Kumar’s JD(U).

However, Bihar voters have shown a known pattern:

General elections → Vote on national leadership (Modi factor)

Assembly elections → Vote on local governance, caste arithmetic, and delivery

This partly explains why in the region voted today, electors may have preferred the NDA in Lok Sabha polls but remained equivocal in the last Assembly election.

But highest voter turnout in last 20 years, particularly, as reported, women who came out in larger number to vote than did men, could mean stamp on incumbent government, given Rs. 10000/- each transferred to 25 lakhs women by Nitish Kumar under Mukhyamantri Mahila Rozgar Yojana.

Or is it to boot him out? To give Chance to Tejashwi Yadav who has promised one government job per family in case Mahagathbandhan (grand alliance of opposition) elected to the office.  Though fiscal calculation makes such promise impossible to fulfill. But that reality never dawns on masses who suffer from lack of job opportunity forcing them to migrate away from families and keep them in perpetual poverty.  For them, prospect of even distant possibilities of getting jobs in government is something to worth taking chance and vote for the party promising it.

Historically, higher turnout correlates with anti-incumbency. Higher turnout changes outcomes when it brings into the electorate groups that previously stayed home—often the poor, youth, women, first-time voters, rural voters, and politically unaligned citizens. These groups are less predictable and often vote for change, not continuity. Globally as well, higher voter participation points to a same pattern in most cases.

But in India, several logical explanations apply to figure out the impact of higher voter turnout due to caste-mobilization, booth-level organization, and large rural electorates.

Logic 1: Higher Turnout = Anti-Incumbency (Most Common)

  • 2014 Lok Sabha: Turnout highest in 30 years → Strong anti-incumbency → UPA lost power.
  • 2017 UP Assembly: Higher turnout in rural/youth pockets → Shift to BJP.

Logic 2: High Turnout reinforcing Incumbency (When enthusiasm favors ruling party

If the incumbent has:

  • Strong welfare delivery (DBT, food security, Ujjwala, health insurance)
  • Strong leader appeal – (Modi phenomenon)
  • Weak fragmented opposition (this is the prevailing situation in India)

Then higher turnout can help the incumbent.

  • 2019 Lok Sabha: Extremely high turnout, yet NDA returned stronger because turnout surge came from beneficiaries + nationalist sentiment and popular leadership appeal of Modi.

 

Logic 3: Women Turnout Rising = Stability / Pro-Incumbency

Recent elections show:

  • Higher women turnout tends to support leaders promising welfare stability, not agitation-based change.
  • Example: Bihar 2020, MP 2023, Odisha and West Bengal patterns.

Logic 4: Impact Depends on Who Turnout More

A. Youth Surge

  • Tends to disrupt status quo
  • Often votes on aspiration, jobs, identity

B. Poor / Welfare Beneficiaries Surge

  • Tends to support party delivering visible benefits

C. Women Surge

  • Determines result in swing states (Bihar, MP, Odisha)
  • More influenced by welfare, safety, and cash-transfer benefits

D. Urban Middle-Class Surge

  • More issue-driven, can swing toward strong leadership or stability messaging

Now if you apply above logic to higher voter turn out in the first phase of the Bihar assembly election, we can deduce the following:

1.) Anti-incumbency factor – more likely – particularly for incumbent CM Nitish Kumar for his lust to remain in the seat. Nitish Kumar’s triple shifting of alliances— NDA → Mahagathbandhan → NDA again — has created a trust gap among certain voter groups, especially youth and non-core JD(U) voters. If we go by media reports and political commentariat, to one segment, he appears pragmatic and seasoned, while to others, he appears power-driven and ideologically rootless.

The “fatigue factor” with Nitish is visible — but the question is: does it translate into votes against him or just reduced enthusiasm?

My ruling is reduced enthusiasm meaning dent in JD(U) tally in comparison to the 2020.

2,) High turnout reinforces incumbency, particularly when enthusiasm favours ruling party - there is no evidence on ground of any such enthusiasm for either ruling party or incumbent chief minister.  But that does not necessarily mean the vote against ruling alliance, particularly the BJP as an alliance partner seen as the stable, single-anchor force, the national development guarantor, and the long-term alternative to both Nitish- and Lalu-era politics.

My ruling is that the loss of seats by JD(U) would go to both BJP and RJD, not all to BJP

3.) Women Turnout rising – usually indicate that they were driven out following cash handout just before the announcement of elections.  Or May in the hope of their men in family getting jobs in government as promised by Tejashwi. 

My ruling is again both BJP and RJD getting equal share of women votes.

4.) Youth and Urban middle-class – There is no report of surge in youth or urban middle-class voting in the first phase as election commission has yet to release data. But media has not reported any surge in either.  The surge in youth voters usually suggest vote for change and the middle-class usually vote for status-quo.

My ruling is that both categories voted for stats-quo with youth voting might slightly have aligned to RJD.

Committed vote base

Both alliances – NDA-led alliance with BJP, JD (U), Chirag Paswan’s Lok Janshakti Party and Jitan Ram Manjhi’s Hindustan Awam Morcha and RJD-led Mahagathbandhan have both between 32 and 34 percent of committed vote base.  Nitish Kumar enjoys loyal support from non-Muslim Extremely Backward Classes while BJP has committed support amongst upper caste blocs – Brahmins, Rajputs, Kshatriyas, and Bhumihars. Recently, it has broadened its outreach to non-Yadav OBCs and EBCs by appointing leaders from these groups.  Together with Paswan’s and Manjhi’s vote base, the NDA sits pretty at around 32% of committed voters. While RJD-led alliance enjoys loyal support from major chunks from Muslims and Yadav which together makes for 30%. Adding to it the Congress support base amongst some amongst upper caste, OBC sub-groups and urban voters the Mahagathbandhan also borders around the 32% of loyal voters.

That leaves around 6 to 8 percentage votes needed to go past the goal post.

New party in the ring – Prashant Kishor’s Jan Suraj Party.  In Bihar’s political pool, no wildcard entry could ever create any ripple. So, it is likely to be a non-starter.

In my opinion, the race is tight. It could go either way. A marginal shift in loyalties, which way the 52 constituencies which went down to wire in the2020 elections will vote, and who has been preferred by the majority of women voters will be the determining factor.

Unless

There is simmering anger among the people of Bihar for their state being left behind on the development curve while UP, MP and Rajasthan which were once clubbed with Bihar as BIMARU (backward) states have broken the club and have made significant progress in economic, industrial, and human development index. All three governed by BJP.

If that factor plays out, NDA could win a thumping majority with BJP emerging as single largest party in alliance. Likely? Wait until November 14


Sunday, September 21, 2025

Manifesting a Better Bharat with AI – some thoughts

India today stands at the threshold of a historic transformation, empowered by the strength of its digital revolution. With more than 950 million internet users, the country represents the second-largest online population in the world. Over 95 percent of India’s nearly 665,000 villages are now connected to the internet, ensuring that digital inclusion reaches deep into rural communities and bridges the urban–rural divide. Equally significant is the gender balance of India’s digital landscape, where women comprise nearly 47 percent of total users, making it one of the most inclusive digital ecosystems globally.

The scale of connectivity is matched by unparalleled data consumption and utilization. On average, every smartphone user in India consumes nearly 32 GB of data per month—among the highest levels worldwide. The Unified Payments Interface (UPI), India’s homegrown digital payments backbone, has redefined the future of finance by recording 650 million daily transactions, surpassing Visa’s 639 million daily transactions and establishing itself as the largest real-time payments system in the world. At the same time, India’s digital culture is thriving, with more than 491 million social media users shaping conversations and influencing trends, while the country’s OTT entertainment market, already serving 547 million users, is projected to grow to 650 million active users in the near future.

This vast and ever-expanding digital ecosystem is more than a story of numbers—it is a unique national asset. The depth, diversity, and democratization of datasets being generated in India every day provide the foundation for building artificial intelligence and deep technology solutions at scale. With this unparalleled data advantage, India is poised not only to transform its own economy but also to emerge as a global hub of AI innovation, where technology serves as a multiplier for inclusive growth, productivity, and competitiveness.

As Claude Smadja, former Managing Director of the World Economic Forum, has insightfully remarked, India’s unique superiority in data and big data has placed it at an inflection point, ready to accelerate technological innovation and potentially deliver the world’s next big surprise.

With its massive digital footprint, youthful talent pool, and culture of innovation, India is well positioned to manifest a better Bharat—one where AI and deep tech are harnessed to empower people, strengthen industries, and shape the future of global technology leadership.

With its abundance of data, a tech-savvy talent pool, and a robust startup culture, India is uniquely positioned to leapfrog into the next generation of artificial intelligence and quantum technologies. What is required is not just vision but also an enabling ecosystem—comprising forward-looking policies, sustainable funding channels, and an affordable research and development framework—that can convert this potential into global leadership.

India today stands at a vantage point to offer solutions across every sphere of human activity—economic, political, governance, business, industry, social development, and livelihoods. The Government of India has already taken notable steps in this direction through initiatives such as the National Quantum Mission, India AI Mission 2030 and the launch of AIKosha, an India AI compute platform and other AI initiatives on IndiaAI Mission anniversary to enable India’s AI research and innovation ecosystem. Yet, in the rapidly evolving technology landscape, speed is of the essence. Without swift execution, India risks once again lagging behind, while the rest of the world capitalizes on opportunities born out of technological and data superiority.

To secure its leadership, India must take bold and practical steps As talent is no longer restricted to metro cities,  the strategy should include establishing AI and quantum sandboxes not just in metro cities but also in tier-two cities, creating test-beds where innovators, startups, and academic researchers can experiment, validate, and scale solutions. Equally important is the formulation of adaptive policies that encourage safe and rapid deployment of AI across sectors—from healthcare and agriculture to logistics and manufacturing.

The transition to an AI-driven economy must also be inclusive. That means prioritizing training and reskilling programs, particularly for the MSME sector, which forms the backbone of India’s economy. By equipping entrepreneurs and workers with AI-ready skills, India can ensure that smaller businesses do not get left behind in the technology wave. In parallel, a national awareness campaign must be launched to address widespread fears about AI-related job losses. The narrative should highlight that while AI will automate certain processes, human intervention, creativity, judgment, and emotional intelligence will remain indispensable, and new categories of jobs will emerge in the process.

By combining speed, inclusivity, and innovation, India can convert its digital and data advantage into a defining leadership role in the global AI and quantum era—manifesting a Better Bharat and shaping a better future for the world.

Indian enterprises have made impressive strides in various AI applications rolled out by startups.  These AI startups span across sectors like healthcare, MSME-focused, analytics, finance, Agritech, infrastructure, conversational, entertainment, education, social good, and so on. 

While AI startups milieu is promising, their growth is impeded by high computing costs, inadequate funding, fragmented and inaccessibility of data, lack of a comprehensive AI regulatory framework balancing innovation, ethics, and security, unclear policies on data governance, cross-border data flows and intellectual property, slow adoption among MSMEs, and persistent fears around job losses make AI adoption politically and socially sensitive. Further, the limited digital readiness in smaller enterprises delays scaling of AI solutions beyond large corporates, and Intense competition from established global players adds pressure on Indian startups to innovate rapidly while navigating local ecosystem challenges.


Towards Indigenous Base Models for India

At present, much of India’s AI development rests on foreign base models and digital platforms. This dependency restricts India’s ability to shape the direction of technological innovation in line with its own priorities. The need of the hour is to develop indigenous foundational AI platforms—large-scale systems built and trained with Indian data, designed around local requirements, and governed by national interests.

By owning such foundational capacity, India would not only reduce strategic vulnerabilities but also gain the autonomy to set ethical, economic, and security benchmarks that resonate with its developmental goals. The shift from dependence on imported base models to the creation of “Made in India” foundation models is not merely a technological ambition—it is a strategic, economic, and societal imperative.

For a nation with unparalleled data diversity, a vast digital footprint, and one of the world’s largest pools of digital talent, the natural progression is clear: to shape an AI future designed for Bharat, powered by Bharat, and shared with the world.

India has not yet produced global brands on par with the West, but it is uniquely positioned to give the world AI solutions across sectors—agriculture, healthcare, education, manufacturing, and governance—and to lead the charge into Industry 4.0. By quickly leveraging its data superiority, digital inclusion, and demographic advantage, India can manifest a better Bharat with AI, and in doing so, contribute to building a better world for all.