We can tackle climate change, jobs, growth and global trade. Here’s what’s stopping us

We must leave behind established modes of thinking and seek creative workable solutions.

Another tumultuous year has confirmed that the global economy is at a turning point. We face four big challenges: the climate transition; the good-jobs problem; an economic-development crisis, and the search for a newer, healthier form of globalization.

To address each, we must leave behind established modes of thinking and seek creative workable solutions, while recognizing that these efforts will be necessarily uncoordinated and experimental.

Climate change is the most daunting challenge, and the one that has been overlooked the longest — at great cost. If we are to avoid condemning humanity to a dystopian future, we must act fast to decarbonize the global economy. We have long known that we must wean ourselves from fossil fuels, develop green alternatives and shore up our defenses against the lasting environmental damage that past inaction has already caused. However, it has become clear that little of this is likely to be achieved through global cooperation or economists’ favored policies.

Instead, individual countries will forge ahead with their own green agendas, implementing policies that best account for their specific political constraints, as the United States, China and the European Union have been doing. The result will be a hodge-podge of emission caps, tax incentives, research and development support, and green industrial policies with little global coherence and occasional costs for other countries. Messy though it may be, an uncoordinated push for climate action may be the best we can realistically hope for.

Inequality, the erosion of the middle class, and labor-market polarization have caused significant damage to our social environment.

But our physical environment is not the only threat we face. Inequality, the erosion of the middle class, and labor-market polarization have caused equally significant damage to our social environment. The consequences are now widely evident. Economic, regional, and cultural gaps within countries are widening, and liberal democracy (and the values that support it) appears to be in decline, reflecting rising support for xenophobic, authoritarian populists and the growing backlash against scientific and technical expertise.

Social transfers and the welfare state can help, but what is most needed is an increase in the supply of good jobs for the less-educated workers who have lost access to them. We need more productive, well-remunerated employment opportunities that can provide dignity and social recognition for those without a college degree. Expanding the supply of such jobs will require not only more investment in education and more robust defense of workers’ rights, but also a new brand of industrial policies for services, where the bulk of future employment will be created.

The disappearance of manufacturing jobs over time reflects both greater automation and stronger global competition. Developing countries have not been immune to either factor. Many have experienced “premature de-industrialization”: their absorption of workers into formal, productive manufacturing firms is now very limited, which means they are precluded from pursuing the kind of export-oriented development strategy that has been so effective in East Asia and a few other countries. Together with the climate challenge, this crisis of growth strategies in low-income countries calls for an entirely new development model.

Governments will have to experiment, combining investment in the green transition with productivity enhancements in labor-absorbing services.

As in the advanced economies, services will be low- and middle-income countries’ main source of employment creation. But most services in these economies are dominated by very small, informal enterprises — often sole proprietorships — and there are essentially no ready-made models of service-led development to emulate. Governments will have to experiment, combining investment in the green transition with productivity enhancements in labor-absorbing services.

Finally, globalization itself must be reinvented. The post-1990 hyper-globalization model has been overtaken by the rise of U.S.-China geopolitical competition, and by the higher priority placed on domestic social, economic, public-health, and environmental concerns. No longer fit for purpose, globalization as we know it will have to be replaced by a new understanding that rebalances national needs and the requirements of a healthy global economy that facilitates international trade and long-term foreign investment.

Most likely, the new globalization model will be less intrusive, acknowledging the needs of all countries (not just major powers) that want greater policy flexibility to address domestic challenges and national-security imperatives. One possibility is that the U.S. or China will take an overly expansive view of its security needs, seeking global primacy (in the U.S. case) or regional domination (China). The result would be a “weaponization” of economic interdependence and significant economic decoupling, with trade and investment treated as a zero-sum game.

The biggest gift major powers can give to the world economy is to manage their own domestic economies well.

But there could also be a more favorable scenario in which both powers keep their geopolitical ambitions in check, recognizing that their competing economic goals are better served through accommodation and cooperation. This scenario might serve the global economy well, even if — or perhaps because — it falls short of hyper-globalization. As the Bretton Woods era showed, a significant expansion of global trade and investment is compatible with a thin model of globalization, wherein countries retain considerable policy autonomy with which to foster social cohesion and economic growth at home. The biggest gift major powers can give to the world economy is to manage their own domestic economies well.

All these challenges call for new ideas and frameworks. We do not need to throw conventional economics out the window. But to remain relevant, economists must learn to apply the tools of their trade to the objectives and constraints of the day. They will have to be open to experimentation, and sympathetic if governments engage in actions that do not conform to the playbooks of the past.

Dani Rodrik, professor of international political economy at Harvard Kennedy School, is president of the International Economic Association and the author of Straight Talk on Trade: Ideas for a Sane World Economy (Princeton University Press, 2017).

This commentary was published with the permission of Project Syndicate — Confronting Our Four Biggest Economic Challenges

More: Biden administration’s antitrust victories are much-needed wins for consumers

Also read: ‘Dr. Doom’ Nouriel Roubini: ‘Worst-case scenarios appear to be the least likely.’ For now.

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Nvidia and AI changed landscape of the chip industry, as rivals play catch-up

This year’s artificial-intelligence boom turned the landscape of the semiconductor industry on its head, elevating Nvidia Corp. as the new king of U.S. chip companies — and putting more pressure on the newly crowned company for the year ahead.

Intel Corp.
INTC,
+2.12%
,
which had long been the No. 1 chip maker in the U.S., first lost its global crown as biggest chip manufacturer to TSMC
2330,

several years ago. Now, Wall Street analysts estimate that Nvidia’s
NVDA,
-0.94%

annual revenue for its current calendar year will outpace Intel’s for the first time, making it No. 1 in the U.S. Intel is projected to see 2023 revenue of $53.9 billion, while Nvidia’s projected revenue for calendar 2023 is $56.2 billion, according to FactSet.

Even more spectacular are the projections for Nvidia’s calendar 2024: Analysts forecast revenue of $89.2 billion, a surge of 59% from 2023, and about three times higher than 2022. In contrast, Intel’s 2024 revenue is forecast to grow 13.3% to $61.1 billion. (Nvidia’s fiscal year ends at the end of January. FactSet’s data includes pro-forma estimates for calendar years.)

“It has coalesced into primarily an Nvidia-controlled market,” said Karl Freund, principal analyst at Cambrian AI Research. “Because Nvidia is capturing market share that didn’t even exist two years ago, before ChatGPT and large language models….They doubled their share of the data-center market. In 40 years, I have never seen such a dynamic in the marketplace.”

Nvidia has become the king of a sector that is adjacent to the core-processor arena dominated by Intel. Nvidia’s graphics chips, used to accelerate AI applications, reignited the data-center market with a new dynamic for Wall Street to watch.

Intel has long dominated the overall server market with its Xeon central processor unit (CPU) family, which are the heart of computer servers, just as CPUs are also the brain chips of personal computers. Five years ago, Advanced Micro Devices Inc.
AMD,
+0.90%
,
Intel’s rival in PC chips, re-entered the lucrative server market after a multi-year absence, and AMD has since carved out a 23% share of the server market, according to Mercury Research, though Intel still dominates with a 76.7% share.

Graphics chips in the data center

Nowadays, however, the data-center story is all about graphics processing units (GPUs), and Nvidia’s have become favored for AI applications. GPU sales are growing at a far faster pace than the core server CPU chips.

Also read: Nvidia’s stock dubbed top pick for 2024 after monster 2023, ‘no need to overthink this.’

Nvidia was basically the entire data-center market in the third quarter, selling about $11.1 billion in chips, accompanying cards and other related hardware, according to Mercury Research, which has tracked the GPU market since 2019. The company had a stunning 99.7% share of GPU systems in the data center, excluding any devices for networking, according to Dean McCarron, Mercury’s president. The remaining 0.3% was split between Intel and AMD.

Put another way: “It’s Nvidia and everyone else,” said Stacy Rasgon, a Bernstein Research analyst.

Intel is fighting back now, seeking to reinvigorate growth in data centers and PCs, which have both been in decline after a huge boom in spending on information technology and PCs during the pandemic. This month, Intel unveiled new families of chips for both servers and PCs, designed to accelerate AI locally on the devices themselves, which could also take some of the AI compute load out of the data center.

“We are driving it into every aspect of the applications, but also every device, in the data center, the cloud, the edge of the PC as well,” Intel CEO Pat Gelsinger said at the company’s New York event earlier this month.

While AI and high-performance chips are coming together to create the next generation of computing, Gelsinger said it’s also important to consider the power consumption of these technologies. “When we think about this, we also have to do it in a sustainable way. Are we going to dedicate a third, a half of all the Earth’s energy to these computing technologies? No, they must be sustainable.”

Meanwhile, AMD is directly going after both the hot GPU market and the PC market. It, too, had a big product launch this month, unveiling a new family of GPUs that were well-received on Wall Street, along with new processors for the data center and PCs. It forecast it will sell at least $2 billion in AI GPUs in their first year on the market, in a big challenge to Nvidia.

Also see: AMD’s new products represent first real threat to Nvidia’s AI dominance.

That forecast “is fine for AMD,” according to Rasgon, but it would amount to “a rounding error for Nvidia.”

“If Nvidia does $50 billion, it will be disappointing,” he added.

But AMD CEO Lisa Su might have taken a conservative approach with her forecast for the new MI300X chip family, according to Daniel Newman, principal analyst and founding partner at Futurum Research.

“That is probably a fraction of what she has seen out there,” he said. “She is starting to see a robust market for GPUs that are not Nvidia…We need competition, we need supply.” He noted that it is early days and the window is still open for new developments in building AI ecosystems.

Cambrian’s Freund noted that it took AMD about four to five years to gain 20% of the data-center CPU market, making Nvidia’s stunning growth in GPUs for the data center even more remarkable.

“AI, and in particularly data-center GPU-based AI, has resulted in the largest and most rapid changes in the history of the GPU market,” said McCarron of Mercury, in an email. “[AI] is clearly impacting conventional server CPUs as well, though the long-term impacts on CPUs still remain to be seen, given how new the recent increase in AI activity is.”

The ARMs race

Another development that will further shape the computing hardware landscape is the rise of a competitive architecture to x86, known as reduced instruction set computing (RISC). In the past, RISC has mostly made inroads in the computing landscape in mobile phones, tablets and embedded systems dedicated to a single task, through the chip designs of ARM Holdings Plc
ARM,
+0.81%

and Qualcomm Inc.
QCOM,
+1.12%
.

Nvidia tried to buy ARM for $40 billion last year, but the deal did not win regulatory approval. Instead, ARM went public earlier this year, and it has been promoting its architecture as a low-power-consuming option for AI applications. Nvidia has worked for years with ARM. Its ARM-based CPU called Grace, which is paired with its Hopper GPU in the “Grace-Hopper” AI accelerator, is used in high-performance servers and supercomputers. But these chips are still often paired with x86 CPUs from Intel or AMD in systems, noted Kevin Krewell, an analyst at Tirias Research.

“The ARM architecture has power-efficiency advantages over x86 due to a more modern instruction set, simpler CPU core designs and less legacy overhead,” Krewell said in an email. “The x86 processors can close the gap between ARM in power and core counts. That said, there’s no limit to running applications on the ARM architecture other than x86 legacy software.”

Until recently, ARM RISC-based systems have only had a fractional share of the server market. But now an open-source version of RISC, albeit about 10 years old, called RISC-V, is capturing the attention of both big internet and social-media companies, as well as startups. Power consumption has become a major issue in data centers, and AI accelerators use incredible amounts of energy, so companies are looking for alternatives to save on power usage.

Estimates for ARM’s share of the data center vary slightly, ranging from about 8%, according to Mercury Research, to about 10% according to IDC. ARM’s growing presence “is not necessarily trivial anymore,” Rasgon said.

“ARM CPUs are gaining share rapidly, but most of these are in-house CPUs (e.g. Amazon’s Graviton) rather than products sold on the open market,” McCarron said. Amazon’s
AMZN,
-0.18%

 Graviton processor family, first offered in 2018, is optimized to run cloud workloads at Amazon’s Web Services business. Alphabet Inc.
GOOG,
+0.66%

GOOGL,
+0.63%

also is developing its own custom ARM-based CPUs, codenamed Maple and Cypress, for use in its Google Cloud business according to a report earlier this year by the Information.

“Google has an ARM CPU, Microsoft has an ARM CPU, everyone has an ARM CPU,” said Freund. “In three years, I think everyone will also have a RISC-V CPU….It it is much more flexible than an ARM.”

In addition, some AI chip and system startups are designing around RISC-V, such as Tenstorrent Inc., a startup co-founded by well-regarded chip designer Jim Keller, who has also worked at AMD, Apple Inc.
AAPL,
+0.54%
,
Tesla Inc.
TSLA,
+2.04%

and Intel.

See: These chip startups hope to challenge Nvidia but it will take some time.

Opportunity for the AI PC

Like Intel, Qualcomm has also launched an entire product line around the personal computer, a brand-new endeavor for the company best known for its mobile processors. It cited the opportunity and need to bring AI processing to local devices, or the so-called edge.

In October, it said it is entering the PC business, dominated by Intel’s x86 architecture, with its own version of the ARM architecture called Snapdragon X Elite platform. It has designed its new processors specifically for the PC market, where it said its lower power consumption and far faster processing are going to be a huge hit with business users and consumers, especially those doing AI applications.

“We have had a legacy of coming in from a point where power is super important,” said Kedar Kondap, Qualcomm’s senior vice president and general manager of compute and gaming, in a recent interview. “We feel like we can leverage that legacy and bring it into PCs. PCs haven’t seen innovation for a while.”

Software could be an issue, but Qualcomm has also partnered with Microsoft for emulation software, and it trotted out many PC vendors, with plans for its PCs to be ready to tackle computing and AI challenges in the second half of 2024.

“When you run stuff on a device, it is secure, faster, cheaper, because every search today is faster. Where the future of AI is headed, it will be on the device,” Kondap said. Indeed, at its chip launch earlier in this month, Intel quoted Boston Consulting Group, which forecast that by 2028, AI-capable PCs will comprise 80% of the PC market..

All these different changes in products will bring new challenges to leaders like Nvidia and Intel in their respective arenas. Investors are also slightly nervous about Nvidia’s ability to keep up its current growth pace, but last quarter Nvidia talked about new and expanding markets, including countries and governments with complex regulatory requirements.

“It’s a fun market,” Freund said.

And investors should be prepared for more technology shifts in the year ahead, with more competition and new entrants poised to take some share — even if it starts out small — away from the leaders.

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You can still run with the stock market’s bulls, but watch the exits

The stock market, as measured by the S&P 500 Index
SPX,
-0.64%

), has been moving upward. The U.S. benchmark index is essentially crawling up the higher “modified Bollinger Bands” (mBB), which is a bit of an overbought condition, but not a sell signal.

The next major resistance appears to be in the 4650 area, which at one time seemed far away but is now within range. There is minor support at 4527 (last week’s lows), with stronger support below that, at 4440, 4385, 4330 and 4200. Given the strong upward momentum of the market, a couple of those could be violated without giving the bull market any problem, but a fall below 4330 would be a game changer.

The S&P 500 has recently closed above the +4σ mBB, which sets up a “classic” sell signal. That “classic” signal was generated on Thursday when SPX closed below the +3σ Band — 4560. But we do not trade the “classic” signals, preferring to wait for the further confirmation of a McMillan Volatility Band (MVB) signal. Just because a “classic” sell signal has occurred does not mean that a MVB sell signal will automatically follow. We will keep you up to date on these developments weekly.

Equity-only put-call ratios have continued to edge lower as stocks have risen. This means that the put-call ratios are still on buy signals, but they are in deeply overbought territory because they are so low on their charts. The computer programs that we use to analyze these charts are once again warning of a sell signal, but we prefer to wait until we can visibly see the ratios begin to rise before taking on any negative position based on these ratios. Despite the fact that these ratios are at lows for the last year or so, it should be noted that they were much lower all during the 2021, as that bull market was pressing forward, and eventually gave way to a bear market.

Market breadth has been generally positive. Both breadth oscillators are on buy signals and are in overbought territory. They could withstand a day or two of negative breadth and still remain on those buy signals. Perhaps more importantly, cumulative volume breadth (CVB) is approaching what could be a major buy signal. If CVB makes a new all-time high, then SPX will follow. CVB is within just a small distance of its all-time high and could attain that today. Doing so would mean that an upside target of 4800+ would be in force for SPX.

New Highs on the NYSE continue to dominate New Lows, so this indicator remains strongly positive for stocks.

VIX
VIX,
+9.25%

is languishing between 13 and 14. As long as this continues, stocks can rise. The only time problems would surface would be if VIX spurted higher. So far, that hasn’t happened. It appears that “big money” still has some fear of this market, so they are buying SPX puts, keeping VIX a bit elevated. It should also be noted that VIX normally makes its annual low in July and begins to rise in August. So that is a potentially negative seasonal factor on the horizon.

The construct of volatility derivatives remains bullish for stocks, since the term structures of both the VIX futures and of the CBOE Volatility Indices continue to slope upwards.

Overall, we are maintaining our “core” bullish position because of the bullish SPX chart. We are raising trailing stops and rolling deeply in-the-money calls upward as we go along. Eventually, we will trade other confirmed signals around that “core” position.

New recommendation: Potential CVB buy signal

We made this recommendation last week and recommended using the cumulative total of daily NYSE advancing volume minus declining volume as a guide. That cumulative total did reach our projected value as of July 26. In reality, the “stocks only” CVB ended just shy of a new all-time high. We are going ahead with the recommendation, since the way that we stated it last week did generate the buy signal.

Buy 4 SPY Sept (29th) 480 calls: Since CVB reached a new all-time high, we are going to buy SPY
SPY,
-0.66%

calls with a striking price equal to SPY’s all-time high. We will hold without a stop initially.

New Recommendation: Emerging markets ETF (EEM)

There has been a high-level buy signal generated from the weighted put-call ratio for the Emerging Markets ETF
EEM,
-1.23%
.
Put buying has been extremely strong for more than a month and is now is abating. This has generated the buy signal.

Buy 5 EEM Oct (20th) 41 calls in line with the market

We will hold these calls as long as the EEM weighted put-call ratio remains on a buy signal.

Follow-up action: 

We are using a “standard” rolling procedure for our SPY spreads: in any vertical bull or bear spread, if the underlying hits the short strike, then roll the entire spread. That would be roll up in the case of a call bull spread, or roll down in the case of a bear put spread. Stay in the same expiration and keep the distance between the strikes the same unless otherwise instructed. 

Long 800 KOPN: 
KOPN,
-4.76%

The stop remains at 1.70.

Long 2 SPY Aug (4th) 453 calls: This is our “core” bullish position. The calls have been rolled up three times. Stop out of this trade if SPX closes below 4330. Roll up every time your long SPY option is at least 6 points in-the-money.

Long 1 SPY Aug (4th) 453 call: Bought in line with the “New Highs vs. New Lows” buy signal. The calls have been rolled up three times. Stop out of this trade if, on the NYSE, New Lows outnumber New Highs for two consecutive days. Roll up every time your long SPY option is at least 6 points in-the-money.

Long 2 PFG Aug (18th) 80 calls: This position has been was rolled up twice. We will hold this PFG
PFG,
-1.07%

position as long as the weighted put-call ratio remains on a buy signal.

Long 10 VTRS
VTRS,
-1.43%

August (18th) 10 calls: The stop remains at 10.15. 

Long 5 CCL
CCL,
+3.23%

Aug (18th) 17 calls: Raise the stop to 17.10.

Long 2 PRU
PRU,
-0.46%

Aug (18th) 87.5 calls: We will continue to hold these calls as long as the weighted put-call ratio remains on a buy signal.

Long 8 CRON
CRON,
-1.66%

Aug (18th) 2 calls: Hold these calls without a stop while takeover rumors play out.

Long 6 ORIC
ORIC,
-9.06%

Aug (18th) 7.5 calls: The stop remains at 7.40.

Long 2 EW
EW,
-9.78%

Aug (18th) 95 puts: Continue to hold these puts as long as the weighted put-call ratio remains on a sell signal.

All stops are mental closing stops unless otherwise noted.

Lawrence G. McMillan is president of McMillan Analysis, a registered investment and commodity trading advisor. McMillan may hold positions in securities recommended in this report, both personally and in client accounts. He is an experienced trader and money manager and is the author of the best-selling book, Options as a Strategic Investment. www.optionstrategist.com

©McMillan Analysis Corporation is registered with the SEC as an investment advisor and with the CFTC as a commodity trading advisor. The information in this newsletter has been carefully compiled from sources believed to be reliable, but accuracy and completeness are not guaranteed. The officers or directors of McMillan Analysis Corporation, or accounts managed by such persons may have positions in the securities recommended in the advisory. 

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Biden’s rebuke of a bold, reform-minded crime law makes all Americans less safe

President Joe Biden’s support for a Republican-led effort to nullify the Washington D.C. City Council’s revision of its criminal code, signed into law on Monday, plays into the fear narrative that is being increasingly advanced across the U.S.

Biden could have used his platform and clout to clarify the actual substance of the carefully crafted District of Columbia proposal — and adhere to his campaign commitment to reduce the number of incarcerated Americans.

Instead, the president ignored the glaring problems in D.C.’s existing criminal code, which the 275-page long package of revisions was designed to address. This included reforming the draconian and inflexible sentencing requirements that have swelled the District’s incarceration rate and wasted countless resources imprisoning individuals who pose no danger to public safety. By rejecting this decade-plus effort, the president decided that D.C. residents have no right to determine for themselves how to fix these problems.

There are communities across the U.S. that see virtually no violent crime, and it isn’t because they’re the most policed.

Biden’s decision is the latest backlash to U.S. justice reform coming from both sides of the political aisle.

Instead of doubling down on failed tough-on-crime tactics, Americans need to come together to articulate and invest in a new vision of public safety. We already know what that looks like because there are communities across the country which see virtually no violent crime, and it isn’t because they’re the most policed.

Safe communities are places where people (even those facing economic distress) are housed, where schools have the resources to teach all children, where the water and air are clean, where families have access to good-paying jobs and comprehensive healthcare, and where those who are struggling are given a hand, not a handcuff.

This is the kind of community every American deserves to live in, but that future is only possible if we shift resources from carceral responses to communities and shift our mindset from punishment to prevention. 

Too often it’s easier to advocate for locking people up than it is to innovate and advance a new vision for public safety. 

In the wake of particularly traumatic years, as well as growing divisiveness that has politicized criminal justice reform, it is not surprising that many people believe their communities are less safe. While public perceptions of crime have long been disconnected from actual crime rates and can be heavily influenced by media coverage, the data tells a mixed story. Homicide rates did increase in both urban and rural areas in the wake of the COVID-19 pandemic and record levels of gun sales.

While early available data suggests these numbers are trending down, it’s too soon to tell, especially given the nation’s poor crime data infrastructure. What is clear is that there is no evidence that criminal justice reform is to blame for rising crime, despite well-funded attempts by those resistant to change and who are intent on driving a political agenda to make such a claim stick. 

Yet fear often obscures facts; people are scared for their safety and want reassurance. Too often it’s easier to advocate for locking people up than it is to innovate and advance a new vision for public safety. 

We need leaders who can govern with both empathy and integrity – who can provide genuine compassion to those who feel scared while also following the data about how to create safer communities. And all the data points to the need for reform. 

Mass incarceration costs U.S. taxpayers an estimated $1 trillion annually.

Mass incarceration costs U.S. taxpayers an estimated $1 trillion annually, when you factor in not only the cost of confinement but also the crushing toll placed on incarcerated people and their families, children, and communities. Despite this staggering figure, there’s no real evidence that incarceration works, and in fact some evidence to suggest it actually makes people more likely to commit future crimes. Yet we keep pouring more and more taxpayer dollars into this short-sighted solution that, instead of preventing harm, only delays and compounds it. 

We have to stop pretending that reform is the real threat to public safety and recognize how our over-reliance on incarceration actually makes us less safe. 

Reform and public safety go hand in hand. Commonsense changes including reforming cash bail, revisiting extreme sentences and diverting people from the criminal legal system have all been shown to have positive effects on individuals and communities.

At a time of record-low clearance rates nationwide and staffing challenges in police departments and prosecutor’s offices, arresting and prosecuting people for low-level offenses that do not impact public safety can actually make us less safe by directing resources away from solving serious crimes and creating collateral consequences for people that make it harder to escape cycles of poverty and crime. 

Yet, tough-on-crime proponents repeatedly misrepresent justice reform by claiming that reformers are simply letting people who commit crimes off the hook. Nothing could be further from the truth. Reform does not mean a lack of accountability, but rather a more effective version of accountability for everyone involved. 

Our traditional criminal legal system has failed victims time and again. In a 2022 survey of crime survivors, just 8% said that the justice system was very helpful in navigating the legal process and being connected to services. Many said they didn’t even report the crime because of distrust of the system. 

When asked what they want, many crime survivors express a fundamental desire to ensure that the person who caused them harm doesn’t hurt them or anyone else ever again. But status quo approaches aren’t providing that. The best available data shows that 7 in 10 people released from prison in 2012 were rearrested within five years. Perhaps that’s why crime victims support alternatives to traditional prosecution and incarceration by large margins. 

For example, in New York City, Common Justice offered the first alternative-to-incarceration program in the country focused on violent felonies in adult courts. When given the option, 90% of eligible victims chose to participate in a restorative justice program through Common Justice over incarcerating the person who harmed them. Just 7% of participants have been terminated from the program for committing a new crime. 

A restorative justice program launched by former San Francisco District Attorney George Gascón for youth facing serious felony charges was shown to reduce participants’ likelihood of rearrest by 44 percent within six months compared to youth who went through the traditional juvenile justice system, and the effects were still notable even four years after the initial offer to participate.

Multnomah County District Attorney Mike Schmidt launched a groundbreaking program last year to allow people convicted of violent offenses to avoid prison time if they commit to behavioral health treatment. As of January, just one of 60 participants had been rearrested for a misdemeanor. 

While too many politicians give lip service to reform, those who really care about justice are doing the work, regardless of electoral consequences. We need more bold, innovative leaders willing to rethink how we achieve safety and accountability, not those who go where the wind blows and spread misinformation for political gain. 

Fear should not cause us to repeat the mistakes of the past. When politicians finally decide to care more about protecting people than protecting their own power, only then will we finally achieve the safety that all communities deserve. 

Miriam Aroni Krinsky is the executive director of Fair and Just Prosecution, a former federal prosecutor, and the author of Change from Within: Reimagining the 21st-Century Prosecutor. Alyssa Kress is the communications director of Fair and Just Prosecution.  

More: Wrongful convictions cost American taxpayers hundreds of millions of dollars a year. Wrongdoing prosecutors must be held accountable.

Plus: Senate votes to block D.C. crime laws, with Biden’s support

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India is becoming a hot market for investors, but it risks falling victim to its own success

India is poised to become the world’s most important country in the medium term. It has the world’s largest population (which is still growing), and with a per capita GDP that is just one-quarter that of China’s, its economy has enormous scope for productivity gains.

Moreover, India’s military and geopolitical importance will only grow. It is a vibrant democracy whose cultural diversity will generate soft power to rival the United States and the United Kingdom.

One must credit Indian Prime Minister Narendra Modi for implementing policies that have modernized India and supported its growth. Specifically, Modi has made massive investments in the single market (including through de-monetization and a major tax reform) and infrastructure (not just roads, electricity, education, and sanitation, but also digital capacity). These investments – together with industrial policies to accelerate manufacturing, a comparative advantage in tech and IT, and a customized digital-based welfare system – have led to robust economic performance following the COVID-19 slump.

These investments — together with industrial policies to accelerate manufacturing, a comparative advantage in tech and IT, and a customized digital-based welfare system — have led to robust economic performance following the COVID-19 slump.

Yet the model that has driven India’s growth now threatens to constrain it. The main risks to India’s development prospects are more micro and structural than macro or cyclical. First, India has moved to an economic model where a few “national champions” — effectively large private oligopolistic conglomerates — control significant parts of the old economy. This resembles Indonesia under Suharto (1967-98), China under Hu Jintao (2002-12), or South Korea in the 1990s under its dominant chaebols.

In some ways, this concentration of economic power has served India well. Owing to superior financial management, the economy has grown fast, despite investment rates (as a share of GDP) that were much lower than China’s. The implication is that India’s investments have been much more efficient; indeed, many of India’s conglomerates boast world-class levels of productivity and competitiveness.

But the dark side of this system is that these conglomerates have been able to capture policymaking to benefit themselves. This has had two broad, harmful effects: it is stifling innovation and effectively killing early-stage startups and domestic entrants in key industries; and it is changing the government’s “Make in India” program into a counterproductive, protectionist scheme.

We may now be seeing these effects reflected in India’s potential growth, which seems to have declined rather than accelerated recently. Just as the Asian Tigers did well in the 1980s and 1990s with a growth model based on gross exports of manufactured goods, India has done the same with exports of tech services. Make in India was intended to strengthen the economy’s tradable side by fostering the production of goods for export, not just for the Indian market.

Instead, India is moving toward more protectionist import-substitution and domestic production subsidization (with nationalistic overtones), both of which insulate domestic industries and conglomerates from global competition. Its tariff policies are preventing it from becoming more competitive in goods exports, and its resistance to joining regional trade agreements is hampering its full integration into global value and supply chains.

India should be focusing on industries where it has a comparative advantage, such as tech and IT, artificial intelligence, business services, and fintech.

Another problem is that Make in India has evolved to support production in labor-intensive industries such as cars, tractors, locomotives, trains, and so forth. While the labor intensity of production is an important factor in any labor-abundant country, India should be focusing on industries where it has a comparative advantage, such as tech and IT, artificial intelligence, business services, and fintech. It needs fewer scooters, and more Internet of Things startups. Like many of the other successful Asian economies, policymakers should nurture these dynamic sectors by establishing special economic zones. Absent such changes, Make in India will continue to produce suboptimal results.

The recent saga surrounding the Adani Group is symptomatic of a trend that will eventually hurt India’s growth.

Finally, the recent saga surrounding the Adani Group
512599,
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is symptomatic of a trend that will eventually hurt India’s growth. It is possible that Adani’s rapid growth was enabled by a system in which the government tends to favor certain large conglomerates and the latter benefit from such closeness while supporting policy goals.

Again, Modi’s policies have deservedly made him one of the most popular political leaders at home and in the world today. He and his advisers are not personally corrupt, and their Bharatiya Janata Party will justifiably win re-election in 2024 regardless of this scandal. But the optics of the Adani story are concerning.

There is a perception that the Adani Group may be, in part, helping to support the state political machinery and finance state and local projects that would otherwise go unfunded, given local fiscal and technocratic constraints. In this sense, the system may be akin to “pork barrel” politics in the US, where certain local projects get earmarked in a legal (if not entirely transparent) congressional vote-buying process.

Supposing that this interpretation is even partly correct, Indian authorities might reply that the system is “necessary” to accelerate infrastructure spending and economic development. Even so, this practice would be toxic, and it would represent a wholly different flavor of realpolitik compared to, say, India’s vast purchases of Russian oil since the start of the Ukraine War.

While those shipments still account for less than one-third of India’s total energy purchases, they have come at a significant discount. Given per capita GDP of around $2,500, it is understandable that India would avail itself of lower-cost energy. Complaints by Western countries that are 20 times richer are simply not credible.

The scandal surrounding the Adani empire does not seem to extend beyond the conglomerate itself, but the case does have macro implications for India’s institutional robustness and global investors’ perceptions of India. The Asian financial crisis of the 1990s demonstrated that, over time, the partial capture of economic policy by crony capitalist conglomerates will hurt productivity growth by hampering competition, inhibiting Schumpeterian “creative destruction,” and increasing inequality.

It is thus in Modi’s long-term interest to ensure that India does not go down this path. India’s long-term success ultimately depends on whether it can foster and sustain a growth model that is competitive, dynamic, sustainable, inclusive, and fair.

Nouriel Roubini, professor emeritus of economics at New York University’s Stern School of Business, is chief economist at Atlas Capital Team and the author of “Megathreats: Ten Dangerous Trends That Imperil Our Future, and How to Survive Them” (Little, Brown and Company, 2022).

This commentary was published with permission of Project Syndicate —
India at a Crossroads

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